Archives of Design Research
[ Article ]
Archives of Design Research - Vol. 35, No. 1, pp.25-49
ISSN: 1226-8046 (Print) 2288-2987 (Online)
Print publication date 28 Feb 2022
Received 08 Jan 2021 Revised 06 Nov 2021 Accepted 06 Nov 2021
DOI: https://doi.org/10.15187/adr.2022.02.35.1.25

Affective Preferences of Generation Y and Z Indonesian Users towards Scooter Body Characters

Harsanindhitya Bagus PanuntunAndar Bagus SriwarnoDeny Willy JunaidyAchmad Syarief
Master’s Degree Program in Design, Institut Teknologi Bandung, Bandung, Indonesia Human and Industrial Product Research Group, Institut Teknologi Bandung, Bandung, Indonesia Human and Interior Space Research Group, Institut Teknologi Bandung, Bandung, Indonesia Human and Industrial Product Research Group, Institut Teknologi Bandung, Bandung, Indonesia

Correspondence to: Harsanindhiyta Bagus Panuntun harsanindhitya.panuntun@astra-honda.com

Abstract

Background Amid the significant growth of the scooter market in Indonesia, investment considerations have encouraged manufacturers to market more global and regional scooter designs, which may not necessarily suit the preferences of Indonesian consumers. In light of the importance of design as an influential reason for purchasing scooters in Indonesia, this study seeks to enhance the understanding of Indonesian consumer preferences for scooter design by examining the affective preferences of gender and age group towards the design attribute of body character, which was selected as this predominantly shape the overall appearance of scooters.

Methods The semantic differential method was applied to measure the differences between genders and age groups in evaluating the design attribute of body character. The focus group discussion survey was conducted in two major cities of Jakarta and Bandung by selecting a sample of 100 scooter users from various brands and types. The collected data were processed using SPSS software. A factor analysis was performed to extract the factors with eigenvalue > 1. Two groups of factors with the highest order of weight/degree/quality were then selected, and a representative name was assigned to the factors. Subsequently, the values of the selected factors were processed into a perceptual matrix to be analysed and interpreted.

Results The ‘fashionable’ scooters (curved body shape with soft body lines) and ‘sporty’ scooters (tapered body shape with sharp body lines) are considered to represent a gender-neutral character and tend to be preferred by all genders and age groups (especially Z generation); the ‘manly’ scooters (muscular body shape with firm body lines) is considered to represent masculine character and tend to be preferred by male users (especially Y generation); the ‘elegant’ scooters (plain body shape with flowing body lines) is considered to represent feminine character and tend to be preferred by Y generation female users; however, Z generation female users dominantly prefer the gender-neutral character of ‘fashionable’ scooters over the feminine character of ‘elegant’ scooters.

Conclusions The results for user evaluation of scooter body characters are reflected in users' preferences for scooter body characters, except for Z generation females who prefer the gender-neutral characters of 'fashionable' scooters over feminine characters of 'elegant' scooters. Meanwhile, the relevant studies (especially in Taiwan) indicate that Taiwanese and Indonesian consumers have relatively different understandings of gender-neutral designs, except for the gender-neutral character of ‘fashionable’ scooters.

Keywords:

Scooter, Design Preference, Body Characters, Indonesia, Semantic Differential

1. Introduction

The volume of the motorcycle market in Indonesia in 2019 reached 6,487,460 units (which makes Indonesia the third-largest motorcycle market in the world, by volume, after India and China). Among the motorcycle categories, the contribution of the scooter market grew significantly to reach 87.2% (Association of Indonesia Motorcycle Industry, 2020), as shown in Figure 1. Owing to such a large market volume and population, the scooter is presently one of the most popular modes of transportation for Indonesians. Since 2011, the scooter design trend in Indonesia has changed rapidly and the designs have become increasingly diverse. In early January 2020, at least 39 scooter models with different designs were available in the Indonesian market (almost 2.5 times more than the number of models in 2011), as shown in Figure 2. Although some scooter models were specifically designed for Indonesian consumers, investment considerations have encouraged manufacturers to market more global and regional scooter designs, which may not necessarily suit the preferences of Indonesian consumers. Under these conditions, the first impression survey of 30 respondents indicated that some scooter models were deemed less attractive by consumers, as shown in Figure 3. Because design became an influential reason in purchasing a scooter in Indonesia (Krisnanto & Utami, 2018), it leads to a reduction in the emotional satisfaction of the consumers (lowering the sense of pride in owning a scooter among the community and reducing the aesthetic experience and emotional enjoyment for its users). Furthermore, data from the Indonesian Central Bureau of Statistics (BPS) shows that generations Y and Z will become a strategic motorcycle market in the future (Indonesia Central Bureau of Statistics, 2020), as shown in Figure 4. Therefore, this research was specifically conducted to improve understanding of the preferences of Indonesian Y and Z generation users towards scooter designs, as a part of the initial process to map the optimization between the designers' design ideas and consumer design preferences.

Figure 1

Motorcycle market trend by categorySource: Association of Indonesia Motorcycle Industry (AISI)

Figure 2

Trends in the number of scooter models based on design differencesSource: The official website of each brand (AISI members, YTD Dec 2019)

Figure 3

Designs’ attractiveness of each model(Based on the first impression survey of 100 respondents, November 2019)

Figure 4

Indonesian population based on the age of motorcycle usersSource: Indonesian Central Bureau of Statistics (BPS, processed)

Extensive research has been performed, such as research on attractive factors of electric motorcycle design (Zhang, et al., 2017), consumers' preference on scooter design with gender-neutral style (Chen & Sung, 2016), assessment of factors affecting the customer preferences/purchase decision for motorcycle brands (Khoso, et al., 2016), an investigation on the gender differences of Taiwanese youths and middle-ages in evaluating motorcycle appearance and use (Yang & Chen, 2014), purchase preference of selected Malaysian motorcycle buyers (Yeong, et al., 2007), and research for style image evaluation of scooters in Taiwan and China (Kao, et al., 2003). However, none of the existing studies has been focused on exploring the consumer preferences towards scooter designs for the Indonesian market, focused on the design attribute of the body character based on gender and age group. Therefore, in this work, the authors investigate the affective preferences of generation Y and Z Indonesian users towards scooter body character.


2. Methods

2. 1. Survey location and respondents’ profile

The focus group discussion survey was conducted in Jakarta and Bandung, as shown in Figure 5. Jakarta was selected because it is the largest city in Indonesia with the most heterogeneous population characteristics (representing the culture of various ethnic groups in Indonesia), while Bandung was chosen because it is the capital city of the West Java Province with the largest motorcycle market volume in Indonesia and it is also known as a city of education, art, and technology.

Figure 5

Survey location

A sample of 100 users possessing scooters of various brands and types were selected. The demographics of the respondents were divided by gender and age group, as shown in Table 1, where references from the Pew Research Centre were adopted to determine the age range for generation Y (Michael Dimock, 2019). Meanwhile, 17 years were used as the minimum age for generation Z, which referred to the minimum age to obtain a driving licence in Indonesia (Indonesian National Police, 2009). Furthermore, several criteria for respondents were applied, such as minimum high school education level (to ensure that some design terminology could be understood well by respondents) and those who were part of the purchasing decision-maker. In addition, references from Nielsen were adopted to classify the socioeconomic status (The Nielsen Company, 2017).

Demographics of respondents

2. 2. Questionnaire

Questionnaires were administered to collect data from the respondents through a focus group discussion survey. In the survey, each respondent was shown a stimulus of each attribute and asked to respond to questions by choosing the opinion that best suits them through seven rating scales. In addition, some closed- and open-ended questions were also included in the questionnaire to support further analysis.

2. 3. Statistical analysis

The collected data were processed using the SPSS software. A factor analysis was performed to extract the factors with eigenvalue > 1 (Osgood, et al., 1978), using which, the factor loading from each evaluation item in the semantic differential could be obtained. Two groups of factors with the highest order of weight/degree/quality were then selected, and a representative name was assigned to the factors. Subsequently, the values of the selected factors were processed into a perceptual matrix to be discussed and interpreted, including determining keywords that represent the impression of each body character generated from the point of view of respondents as consumers/scooter users.

2. 4. Selecting representative design attributes, scooter models, and bipolar adjective pair for semantic differential

To determine the design attributes and scooter models as a stimulus, the exploratory method was applied, involving a comprehensive discussion with five expert designers (two designers with a work experience of 4–5 y, and three senior designers with a work experience of 14–18 y). The discussion resulted in body character, body size, and type of frame as basic attributes that predominantly shaped the overall appearance of scooters. The users’ preference for body sizes are mainly related to the purpose of use and suitability of the scooter body size to the rider's posture, whereas the users’ preference for the type of frames are mainly related to functional and emotional aspects; both require research methods involving static and dynamic riding simulations. Meanwhile, the users’ preference for body characters has more to do with the users' perception of the scooter's body shape and body lines (related to emotional/affective responses). Among the three attributes, the body character is the most influential attribute in selecting scooter design in Indonesia; therefore, it was selected as the focus attribute in this study.

Furthermore, the discussion also resulted in scooter models that were used as a stimulus for the body character, which was divided into four types (curved body shape with soft body lines, plain body shape with flowing body lines, tapered body shape with sharp body lines, and muscular body shape with firm body lines), as shown in Figure 6. The three images of each stimulus pertained to the popular scooter models in Indonesia (based on the sales volume), which were familiar to the scooter users. Moreover, all images on the stimulus were presented as monochromatic colour and side view wireframe images on a white background with the following considerations:

Figure 6

Stimulus for the body character

  • (1) Respondents were not bothered by their favourite colours when they determine these answer choices;
  • (2) The author wanted respondents to focus more on the body shape and body lines (not on the three-dimensional effect of the objects and other detailed attributes, such as head shape, headlight shape, headlight position, front cover shape, etc.).

To produce adjectives in the semantic differential method, the network concept approach was adopted (Nagai, et al., 2011), which generated a conceptual network (structure of associative words) with the weight of words indicated by the ODC score; extraction of bipolar adjectives for semantic differential is shown in Figure 7. Before being presented to respondents, a discussion with five expert designers and linguists was held to translate them into Indonesian and ensure that the meaning of adjectives could be understood well by Indonesian respondents, especially with the criteria of a minimum high school education level.

Figure 7

Bipolar adjective extraction for the semantic differential


3. Results

3. 1. Results for the stimulus of Design A

3. 1. 1. Statistical results of factor analysis

Before determining the evaluation axis of the research object and processing the data using the semantic differential method, factor analysis was performed using the SPSS software to extract factors with eigenvalue > 1, using which, the factor loading from each evaluation item could be obtained, as shown in Table 2. The extraction and rotation were performed using the principal component analysis method and varimax method, respectively.

Adjectives from the loading factor category for stimulus Design A

The table shows that five factors with different loading factors were generated. Factor F1 (λ = 3.762) represents the loading for adjectives ‘fun’, ‘masculine’, ‘unique’, ‘popular’, and ‘modern’. F2 (λ = 4.198) represents the loading for adjectives ‘fierce’, ‘aggressive’, ‘square’, ‘sharp’, ‘rough’, and ‘complicated’. F3 (λ = 2.824) corresponds to the loading for adjectives ‘sturdy’, ‘fast’, ‘heavy’, and ‘large’. F4 (λ = 2.019) corresponds to the loading for adjectives ‘strong’, ‘active’, and ‘good’. F5 (λ = 0.665) corresponds to the loading for adjective ‘luxurious’. F2 and F1 have the highest order of weight/degree/quality, followed by F2, F3, F4, and F5; therefore, to describe sufficient dimensions of perception for stimulus Design A, F1 and F2 were selected as the basis for spatial coordinate analysis or perceptual matrix. Furthermore, utilizing synonym dictionaries, a synonym analysis was carried out to assign a representative name to the factors; for example, the emotional attributes of 'fun', 'masculine', 'unique', 'popular', and 'modern' were associated with cheerful, gallant, exclusive, fashionable, or stylish and labelled as 'trendy' factors; the emotional attributes of 'fierce', 'aggressive', 'square', 'sharp', 'rough', and 'complicated' were associated with daring/bold, advancing, robust, salient, or conspicuousness and labelled as 'bold' factors, as described in Table 3.

Naming factors for stimulus Design A

3. 1. 2. Perceptual matrix

The results of the perceptual matrix graph are presented in Figure 8. The figure shows that the perception of the dimension of Design A is different among different genders and age groups. Generation Y male users consider Design A to be ‘less trendy’ or ‘plain’, as indicated by the distribution points, which are more dominant in quadrants I and III. Furthermore, the generation Z male users and generation Y female users consider Design A to be ‘less bold’ or ‘calm’, as the distribution points are more dominant in quadrants I and II. In addition, generation Z female users consider the design to be ‘less trendy’ or ‘plain’ and ‘bold’, as the distribution points are more dominant in quadrants I, III, and IV.

Figure 8

Perceptual matrix of Design A based on gender and age group

3. 2. Results for the stimulus of Design B

3. 2. 1. Statistical results of factor analysis

The results of the factor analysis performed using the SPSS software to extract factors with eigenvalue > 1 were used to obtain the factor loading from each evaluation item, as shown in Table 4. The extraction and rotation were performed using the principal component analysis method and varimax method, respectively.

Adjectives from the loading factor category for stimulus Design B

Six factors with different loading factors were generated. F1 (λ = 3.513) represents the loading for adjectives ‘fun’, ‘aggressive’, ‘masculine’, ‘rough’, and ‘fast’. F2 (λ = 4.198) represents the loading for adjectives ‘sturdy’, ‘strong’, ‘active’, ‘heavy’, ‘modern’, and ‘large’. F3 (λ = 2.821) corresponds to the loading for adjectives ‘popular’, ‘young’, and ‘good’. F4 (λ = 1.514) corresponds to the loading for adjectives ‘fierce’ and ‘complicated’. F5 (λ = 1.589) corresponds to the loading for adjectives ‘square’ and ‘sharp’. F6 (λ = 1.414) corresponds to the loading for adjective ‘luxurious’ and ‘heavy’. F2 and F1 have the highest order of weight/degree/quality; therefore, to describe sufficient dimensions of perception for stimulus Design B, F1 and F2 were selected as the basis for spatial coordinate analysis or perceptual matrix. Furthermore, a synonym analysis was carried out to assign a representative name to the factors; for example, the emotional attributes of ‘fun’, ‘aggressive’, ‘masculine’, ‘rough’, and ‘fast’ were associated with enjoyable, combative, brave, sharp, nimble, or electrifying and labelled as 'thrilling' factors; the emotional attributes of ‘sturdy’, ‘strong’, ‘active’, ‘heavy’, ‘modern’, and ‘large’ were associated with the firm, stable, streaming, solid, contemporary, massive, or steadiness and labelled as ‘steady’ factors, as described in Table 5.

Naming factors for stimulus Design B

3. 2. 2. Perceptual matrix

The values corresponding to the factor analysis for F1 and F2, generated through statistical data processing, were reprocessed using the SPSS software into a perceptual matrix graph. The results of the perceptual matrix graph are presented in Figure 9. The figure shows that the different genders and age groups differently perceive the dimension of Design B, especially the male users. The generation Y male users consider Design B to have the dimensions of ‘less thrilling’ or ‘calm’ and ‘steady’, as shown through the distribution points, which are more dominant in quadrants I, III, and IV. Furthermore, generation Z male users consider the design to have dimensions of ‘thrilling’ and ‘less steady’ or ‘soft’, as shown through the distribution points, which are more dominant in quadrants I, II, and IV. All the female users consider this design to have the dimension of ‘thrilling’, as shown through the distribution points, which are more dominant in quadrants I and IV.

Figure 9

Perceptual matrix of Design B based on gender and age group

3. 3. Results for the stimulus of Design C

3. 3. 1. Statistical results of factor analysis

The results of the factor analysis performed using the SPSS software to extract factors with eigenvalue > 1 were used to obtain the factor loading from each evaluation item, as shown in Table 6. The extraction and rotation were performed using the principal component analysis method and varimax method, respectively.

Adjectives from the loading factor category for stimulus Design C

Six factors with different loading factors are generated. F1 (λ = 4.011) represents the loading for adjectives ‘fun’, ‘unique’, ‘popular’, ‘luxurious’, and ‘modern’. F2 (λ = 2.033) represents the loading for adjectives ‘aggressive’, ‘fast’, and ‘active’. F3 (λ = 2.534) corresponds to the loading for adjectives ‘fierce’, ‘masculine’, ‘sturdy’, and ‘heavy’. F4 (λ = 1.527) corresponds to the loading for adjectives ‘strong’ and ‘large’. F5 (λ = 1.170) corresponds to the loading for adjectives ‘square’ and ‘sharp’. Meanwhile, F6 does not have an eigenvalue > 0.500. Although F3 has a higher eigenvalue (λ) than F2, F3 and F1 do not contain an activity dimension, which is a complete prerequisite for the semantic differential method (Osgood, et al., 1978); therefore, F1 and F2 were selected as the basis for the spatial coordinate analysis or perceptual matrix. Furthermore, utilizing synonym dictionaries, a synonym analysis was carried out to assign a representative name to the factors; for example, the emotional attributes of ‘fun’, ‘unique’, ‘popular’, ‘luxurious’, and ‘modern’ were associated with cheerful, fashionable, fancy, or stylish and labelled as 'fun' factors; meanwhile, the emotional attributes of ‘aggressive’, ‘fast’, and ‘active’ were associated with combative, speedy, or energetic and labelled as ‘brisk’ factors, as described in Table 7.

Naming factors for stimulus Design C

3. 3. 2. Perceptual matrix

The values corresponding to the factor analysis for F1 and F2, generated through statistical data processing, were reprocessed using the SPSS software into a perceptual matrix graph. The results of the perceptual matrix graph are presented in Figure 10. The figure shows that only different genders perceive the dimension of Design C differently. The male users consider Design C to have a dimension of ‘fun’, as shown through the distribution points, which are more dominant in quadrants II and IV. In contrast, female users consider Design C to have the dimension of ‘less brisk’ or ‘sluggish’, as shown through the distribution points, which are more dominant in quadrants I and II.

Figure 10

Perceptual matrix of Design C based on gender and age group

3. 4. Results for the stimulus of Design D

3. 4. 1. Statistical results of factor analysis

The results of the factor analysis performed using the SPSS software to extract factors with eigenvalue > 1 were used to obtain the factor loading from each evaluation item, as shown in Table 8. The extraction and rotation were performed using the principal component analysis method and varimax method, respectively.

Adjectives from the loading factor category for stimulus Design D

The table shows that six factors with different loading factors are generated. F1 (λ = 3.133) represents the loading for adjectives ‘fun’, ‘unique’, ‘popular’, and ‘young’. F2 (λ = 2.669) represents the loading for adjectives ‘fierce’, ‘aggressive’, ‘masculine’, and ‘strong’. F3 (λ = 2.060) corresponds to the loading for adjectives ‘sharp’, ‘rough’, and ‘complicated’. F4 (λ = 1.610) corresponds to the loading for adjectives ‘fast’ and ‘active’. F5 (λ = 1.513) corresponds to the loading for adjectives ‘good’ and ‘large’. F6 (λ = 1.197) corresponds to the loading for adjectives ‘luxurious’ and ‘heavy’. F1 and F2 have the highest order of weight/degree/quality and were selected as the basis for spatial coordinate analysis or perceptual matrix. Furthermore, a synonym analysis was carried out to assign a representative name to the factors; for example, the emotional attributes of ‘fun’, ‘unique’, ‘popular’, and ‘young’ were associated with a cheerful, different, stylish, fresh or young spirit and labelled as 'youthful' factor; the emotional attributes of ‘fierce’, ‘aggressive’, ‘masculine’, and ‘strong’ were associated with brave, combative, manly, vigorous, or masculinity and labelled as ‘macho’ factor, as described in Table 9.

Naming factors for stimulus Design C

3. 4. 2. Perceptual matrix

The results of the perceptual matrix graph are presented in Figure 11.

Figure 11

Perceptual matrix of Design D based on gender and age group

The figure shows that the different genders, especially the female users, and age groups differently perceive the dimensions of Design D. All the male users consider Design D to have the dimension of ‘macho’, as shown through the distribution points, which are more dominant in quadrants III and IV. Meanwhile, the generation Y female users consider the design to have a dimension of ‘less macho’ or graceful’, as shown through the distribution points, which are more dominant in quadrants I and II, also generation Z female users consider the design to have a dimension of ‘less youthful’ or ‘old’, as shown through the distribution points, which are more dominant in quadrants I and III.

3. 5. Discussion

3. 5. 1. Results for users evaluation of the scooter body character

For more clarifications, Table 10 summarizes the results of the user evaluations regarding the body character to support the discussion.

Dimension of users’ perception regarding the scooter body character

Based on the findings, the users’ evaluation of the scooter body character can be mapped into the following groups:

  • (1) Three perceptual dimensions of the body character of Design A were generated, which were dominated by the dimensions of ‘calm’ and ‘plain’, except for the generation Z females who also consider it to be ‘bold’. The 'calm' dimension reflects the specific characteristics of the feminine gender, such as feminine, gentle, tender, and warm (Bem, 1974) and the 'plain' dimension corresponds more to the neutral gender; meanwhile, the ’bold’ dimension reflects the specific characteristics of the masculine gender, such masculine, aggressive, forceful, and assertive (Bem, 1974). Because no specific dimensions exist that strongly reflect certain gender characteristics, this can be assumed that Design A represents a design with a gender-neutral character;
  • (2) Four perceptual dimensions of the body character of Design B were generated, which were dominated by the dimensions of ‘thrilling’. In particular, all the female users consider Design B to be ‘thrilling’. Meanwhile, a difference exists in the dimension perception of Design B among male users; the Z generation males consider the design to be ‘thrilling’ and ‘soft’, whereas the Y generation males consider the design to be ‘calm’ and ‘steady’. The 'soft' and ‘calm’ dimensions reflect the specific characteristics of the feminine gender, such as feminine, gentle, tender, and warm (Bem, 1974), while the ‘steady’ dimension corresponds more to the neutral gender. Because 'soft' and ‘calm’ dimensions reflect the specific characteristics of the feminine gender and the ‘thrilling’ dimension reflects the emotional expression, which is specifically generated from the perception of female users, this can be assumed that Design B represents a design with a feminine character;
  • (3) Two perceptual dimensions of the body character of Design C were generated, consisting of the dimensions of ‘fun’ and ‘sluggish’. In particular, all the male users consider the design to be ‘fun’, whereas all the female users consider the design to be ‘sluggish’. Because both ‘fun’ and ‘sluggish’ as dimensions do not specifically reflect certain gender characteristics, this can be assumed that Design C represents a design with gender-neutral character; and
  • (4) Three perceptual dimensions of the body character of Design D were generated, which were dominated by the dimension of ‘macho’. In particular, all the male users significantly consider Design D to be ‘macho’; meanwhile, the Y generation females consider the design to be ‘graceful’, whereas the Z generation females consider the design to be ‘old’. In this case, the ‘macho’ dimension strongly reflects the specific characteristics of the masculine gender, such as masculine, aggressive, forceful, and assertive (Bem, 1974), while both ‘graceful’ and ‘old’ dimensions correspond more to the neutral gender. Because the ‘macho’ dimensions reflect the specific characteristics of the masculine gender and reflect the emotional expression, which is specifically generated from the perception of male users, this can be assumed that Design D represents a design with masculine character.
3. 5. 2. Specific keywords of impression for each body character

By considering the answers conveyed by the respondents as a reason to choose each stimulus, specific impression keywords for each body character can be generated, as shown in Table 11.

Reason pertaining to the preference of the body character

A synonym analysis was carried out to assign specific impression keywords for each body character; for example, the prominent reasons of ‘unique’, ‘trendy’, ‘cute’, ‘chic’, and ‘fun’ for Design A associated with the keyword ‘fashionable’; the prominent reasons of ‘elegant’, ‘simple’, and ‘luxurious’ for Design B associated with the keyword ‘elegant’; the prominent reasons of ‘sporty’, ‘cool’, ‘speedy’, ‘aerodynamic’, ‘striking’, and ‘dashing’ for Design C associated with the keyword ‘sporty’; and the prominent reasons of ‘macho’, ‘dashing’, ‘muscular’, and ‘tough’ for Design D associated with the keyword ‘manly’.

3. 5. 3. Body character preferences based on gender and age group

Through additional data from the responses collected to the open-ended questions in this study, the users' preference for the scooter's body character can be identified, by considering the choice of scooter body character based on gender and age group, as shown in Figure 12.

Figure 12

Body character preferences based on gender and age group

The figure indicates that the results for user evaluation of the scooter body character are relatively reflected in users' preferences for certain body characters, except for Z generation females who prefer the gender-neutral character of Design A over the feminine character of Design B. In particular, the following findings can be derived regarding the users' preference towards the scooters' body character:

  • (1) Body character for Y generation usersBoth males and females from generation Y prefer Design A and D with a relatively even spread (28%), followed by Design C (24%) as the second dominant. Not completely consistent with the results for users evaluation of the scooter body character, where Design A and C represent a gender-neutral character, Figure 12 clearly shows that the preferences of both generation Y males and females towards Design D tend to be influenced by the preferences of generation Y male users who dominantly prefer the masculine character of Design D (41%) over the ‘gender-neutral’ character of Design C (26%); meanwhile generation Y female users prefer the ‘gender-neutral’ character of Design C (21%) over the masculine character of Design D (11%). Therefore, by considering these significant differences, Design A and C are the best options to attract more Y generation male and female users.
  • (2) Body character for Z generation usersBoth males and females from the Z generation prefer Design A (35%) and Design C (24%) as the second dominant. This finding confirms that Designs A and C are considered to have ‘gender-neutral’ characters, which is consistent with the results for users’ evaluation of the scooter body character.
  • (3) Body character for Y generation male usersA clear preference exists on how Y generation male users dominantly prefer Design D (41%). The masculine character of Design D (which also gives the impression of 'macho', 'dashing', 'muscular', and 'tough') triggers Y generation male users to choose Design D. This finding is also consistent with the results for users evaluation of the scooter body character.
  • (4) Body character for Y generation female usersA clear preference also exists on how Y generation female users specifically prefer Design B (37%). The feminine character of Design B (which also gives a simple and luxurious impression) triggers Y generation female users to choose Design B. This finding is consistent with the results for users’ evaluation of the scooter body character. Moreover, Figure 12 shows that Design A also favourable for Y generation female users (32%), which can be the second alternative.
  • (5) Body character for Z generation male usersSame as Y generation male users, Z generation male users also specifically prefer Design D (34%). The 'muscular body shape and firm body lines' of Design D trigger generation Z male users to choose Design D. Moreover, Figure 12 shows that Design A also favourable for Z generation male users (31%), which can be the second alternative.
  • (6) Body character for Z generation female usersMore Z generation female users prefer the gender-neutral character of Design A (40%) over the feminine character of Design B (28%). Inconsistent with the results for users evaluation of the scooter body character, where Design B more represents a feminine character, Table 12 shows that the prominent reasons conveyed by Z generation female users for Design A are that they appear 'cute' (40%) and 'chic' (30%), which is significantly different from Z generation females. As a generation that tends to adapt their identity to the context (Seemiller & Grace, 2019), the 'cute' and 'chic' are are often used by Z generation females to describe female's fashion stuff, such as outfits, bags (including mini backpacks, sling bags, bucket bags, flap bags, waist bags, canteen bags), accessories, gadgets, etc. Therefore, the curvy body shape and soft body lines of Design A are considered the best representation of their daily lifestyles, such as always being active and wanting to be seen by others to get recognition for their existence (narcissistic characters).
  • (7) Body character for male users A clear preference exists on how male users specifically prefer Design D (38%). The impression of 'macho', 'dashing', 'muscular', and 'tough' of Design D triggers both Y and Z generation males to choose Design D. This finding is consistent with the results for users evaluation of the scooter body character.
  • (8) Body character for female usersFigure 12 shows that the preferences of female users towards Design A (36%) tend to be influenced by the inconsistency of the preferences of Z generation female users who dominantly prefer Design A (40%) over Design B (28%).
  • (9) Body character for all genders and age groupsDesign A is the most preferred design character by all genders and age groups (32%), followed by Design C (24%), Design D (24%), and Design B (20%). Both males and females choose Design C and D with even spread (24%); nevertheless, Design D specifically tends to be preferred by male users (38%) over female users (7%). This finding confirms that Designs A and C are considered the most representative body characters for all genders and age groups, which is consistent with the results for users evaluation of the scooter body character.
3. 5. 4. Comparison with previous studies

Taking the results of a gender-neutral style study conducted in Taiwan (Chen & Sung, 2016), the optimal combination of design attributes for gender-neutral design includes the streamlined shape of the head, the rounded shape of the headlight, headlight position on the head and inclined plane, paired headlight, large size inclined plane, geometric shape of the front elevation, low type of raised tail angle, retro-looking type of style, single one colour, and high headlight coverage ratio. Among the abovementioned attributes, only the rounded shape of the headlight and the retro-looking type of style lead to the same characteristics as Design A (curved body shape with soft body lines), which are also favourable for all genders and age groups. Meanwhile, the other attributes such as headlight position on the head and inclined plane and low type of raised tail angle do not completely lead to the gender-neutral characteristics in this study; for example, the headlight position of some models on the stimulus Design A and C are on the head while others are on the inclined plane, but none are on both head and the inclined plane at the same time. These findings indicate that in addition to the ‘fashionable’ characters, Taiwanese and Indonesian consumers have different understandings of gender-neutral designs.

In addition, the results of an investigation on the gender differences of Taiwanese youths and middle ages in evaluating motorcycle appearance and use conducted in Taiwan (Yang & Chen, 2014) indicated that males tend to prefer 125-150cc sports styles, which make people feel expensive, steady, and firm. Meanwhile, females tend to prefer the compact shape of 100-115cc models, which are easy to operate, comfortable, as well as express softness and femininity. In addition, the results also specifically mention that complex and sharp shapes are suitable for males, while small volume and natural looks of the simple curves are suitable for females. Apart from the influence of engine capacity and body size on scooter design preferences in Taiwan, the complex and sharp shapes lead to the same characteristics as Design C (tapered body shape with sharp body lines). Meanwhile, the curved designs lead to the same characteristics as Design A (curved body shape with soft body lines). Both of which are favoured by Indonesian consumers from all genders and age groups. Therefore, these findings indicate that Taiwanese and Indonesian consumers have relatively different understandings of gender-neutral designs.

Furthermore, the results of research on attractive factors of electric motorcycle design (Zhang, et al., 2017) conducted in China indicated that if the ‘straight-line shape with sharp angle’ could be applied in the design of the front face, the appearance of the motorcycle would approach to the Kansei word ‘strong’ and the ‘front shape of the plump curve’ most approaches to the Kansei word ‘soft’. Although these results do not directly lead to specific scooter design preferences based on gender and age group, the same associations are given for certain characters, such as 'front shape of plump curve' also perceived as 'soft'. However, 'straight-line shape with sharp angle' is perceived as 'strong', while in Indonesia the character is perceived as 'sporty' which is associated with the impression of 'speedy', 'aerodynamic', 'striking', and 'dashing'.

Subsequently, the results of the assessment of factors affecting the customer preferences/purchase decision for motorcycle brands (Khoso, et al., 2016) conducted in Hyderabad, India, indicated that both external factors (price affordability, quality, mileage, maintenance cost, style, and other attributes) and internal factors (family, brand perception, friends and peer advice, word of mouth, occupation, and previous experience) influence individual’s decision to buy a particular brand motorcycle. Among them, the external factors of price, quality, and style are the major factors that influence an individual’s decision of buying a particular brand motorcycle. Similar to Indonesia, these results confirm the important role of design as one of the main factors that consumers consider before buying a motorcycle, including a scooter.

Moreover, the results of research for style image evaluation of scooter in Taiwan and China – a comparative study on formation elements and image analysis of scooter (Kao, et al., 2003) indicated that, for Taiwan, the 'sporty' was described by ‘a moving front fender’, which gives the impression of mechanical, high performance, and speedy; the 'stylish' was described by ‘headlights on the head’ and ‘turn signal lights on the front cover’, which gives the impression of being simple and easy to operate; the 'utility' was described by ‘integrated front fenders and front panels’ and ‘longer body’, which gives the impression of majestic, functional and practical. Meanwhile, for China, the 'smart' was described by ‘a compact body’ and ‘headlights position on the head’, which gives the impression of functional and intelligence; the 'family' was described by ‘non-integrated turn signals’ and ‘soft front and side headlights’; the 'utility' was described by ‘integrated front fenders and front panels’ and ‘longer body’, which gives the impression of majestic and robust; the 'casual' was described by 'a movable front fender' and 'a compact body', which gives the impression of being easy to ride. Although (especially for Taiwan), some impressions show the closeness of meaning to the reasons for choosing certain characters in this study (such as 'fast' impression appears for 'sporty' characters and 'simple' impression appears for 'stylish' characters), none of the attributes mentioned above shows the same characteristics as the results of this study; for example ‘a moving front fender’, ‘headlights on the head’, and ‘turn signal lights on the front cover'.


4. Conclusion

4. 1. The result of the study

As the most popular mode of transportation for Indonesian, scooters are used for various purposes. Some people use scooters to support their daily activities (such as going to school/workplace, picking up family, daily shopping, etc.), for which the consideration of functional aspects is dominant; meanwhile, others use scooters to support their lifestyle/hobbies (such as hanging out in cafes/coffee shops/restaurants, touring with clubs/communities, going to recreational areas, etc.), in which case, the consideration of emotional aspects plays an important role. In this context, because, in reality, the two roles are often correlated (76% of respondents use scooters both for daily activities and support their lifestyle/hobbies), the users’ emotional/affective responses need to be considered. Therefore, before designing or importing scooters for the Indonesian market, it is important to tailor the product to the preferences of generation Y and Z Indonesian users towards the scooter body character, or at least not taking the opposite design direction. In particular, the results of this study indicate that the user evaluation of scooter body characters is reflected in users' preferences for scooter body characters, except for Z generation females who prefer the gender-neutral characters of 'fashionable' scooters over feminine characters of 'elegant' scooters. Meanwhile, the relevant studies (especially in Taiwan) indicate that Taiwanese and Indonesian consumers have relatively different understandings of gender-neutral designs, except for the ‘gender-neutral’ character of ‘fashionable’ scooters.

4. 2. Practical Implications

Owing to such a large scooter market volume in Indonesia, it will be attractive for manufacturers to tailor their production to the specific taste of the population; however, in a globalized mobility market, it also may not be cost-effective to adapt a vehicle design to a particular country unless it offers a very high commercial advantage over competitors. Therefore, these practical implications are intended as an invitation for manufacturers or marketers in Indonesia to adapt their scooter models as much as possible to the design preferences of Indonesian consumers (including when they want to import regional and global models). The following findings can be derived as initial references by the automotive designers and manufacturers in Indonesia:

  • (1) In developing or importing a scooter design to attract more Y and Z generations (both males and females), specific requirements such as curved body shapes with soft body lines need to be considered; in addition, tapered body shapes with sharp body lines can also be the second alternative;
  • (2) In developing or importing a scooter to specifically attract more male users (both Y and Z generations), specific requirements such as muscular body shapes with firm body lines need to be considered; in addition, curved body shapes with soft body lines are also favourable for them (especially the Z generation);
  • (3) In developing or importing a scooter to specifically attract more female users (both Y and Z generations), specific requirements such as curved body shapes with soft body lines need to be considered; in addition, plain body shapes with flowing body lines are also favourable for them (especially the Y generation);
  • (4) In developing or importing a scooter design to attract all genders and age groups, specific requirements such as curved body shapes with soft body lines need to be considered; In addition, tapered body shapes with sharp body lines are also favourable for them (can be the second alternative).

4. 3. Limitations and suggestions for further research

As a part of the initial process to map the optimization between the designers' design ideas and consumer design preferences, further studies are still needed to obtain a more comprehensive understanding regarding the preferences of Indonesian consumers towards scooter design. Therefore, the author would like to take this opportunity to convey acknowledgment of certain limitations of this study that need to be discussed, such as the limitation in sampling, where the result still does not fully represent the whole generation Y and Z population of Indonesia (including the composition of education level, occupation, and social-economic status) so that it has the potential to be biased in some aspects; the multicultural nature of Indonesia's population (with over 300 ethnic groups), so that the research has yet to offer much in the form of actionable insights into the design of culturally appropriate scooter design; and limitations in the discussion which still does not yet come close to how consumers experience the product in real life, in context (real environment, real use), and at a scale to which they can relate physically.

To obtain more comprehensive findings regarding scooter designs that represent the consumer design tastes throughout Indonesia, further research needs to be conducted in the following respects:

  • (1) Expanding the coverage of respondents, such as sampling represents the whole generation Y and Z population of Indonesia (including the education level, occupation, and social-economic class), sampling based on the contribution of sales or the number of population in each region and represent urban, suburban, and rural areas; thus enables the researchers to generalize the findings;
  • (2) Expanding the research from a cultural perspective, such as the meaning, values, and norms of the Indonesian people (including the specific cultures of the various ethnic groups);
  • (3) Expanding the research based on "real life" product experiences and usage patterns (such as the purpose of use, mileage, average speed, tandem habit, etc.) could point to the need for more gender-inclusive and culturally appropriate scooter designs;
  • (4) Further research to evaluate the variations in the user adoption of body size and frame type as the design attributes that predominantly shape the overall appearance of scooters;
  • (5) Further investigations focusing on the detailed design attributes that may possibly influence the impression of ‘emotional novelty’ and reflect local culture and tradition, including the colour and stripe preferences, textures, patterns, or other forms of customization.

Notes

Citation: Panuntun, H. B., Sriwarno, A. B., Junaidy, D. W., & Syarief, A. (2022). Affective Preferences of Generation Y and Z Indonesian Users towards Scooter Body Characters. Archives of Design Research, 35(1), 25-49.

Copyright : This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted educational and non-commercial use, provided the original work is properly cited.

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Figure 1

Figure 1
Motorcycle market trend by categorySource: Association of Indonesia Motorcycle Industry (AISI)

Figure 2

Figure 2
Trends in the number of scooter models based on design differencesSource: The official website of each brand (AISI members, YTD Dec 2019)

Figure 3

Figure 3
Designs’ attractiveness of each model(Based on the first impression survey of 100 respondents, November 2019)

Figure 4

Figure 4
Indonesian population based on the age of motorcycle usersSource: Indonesian Central Bureau of Statistics (BPS, processed)

Figure 5

Figure 5
Survey location

Figure 6

Figure 6
Stimulus for the body character

Figure 7

Figure 7
Bipolar adjective extraction for the semantic differential

Figure 8

Figure 8
Perceptual matrix of Design A based on gender and age group

Figure 9

Figure 9
Perceptual matrix of Design B based on gender and age group

Figure 10

Figure 10
Perceptual matrix of Design C based on gender and age group

Figure 11

Figure 11
Perceptual matrix of Design D based on gender and age group

Figure 12

Figure 12
Body character preferences based on gender and age group

Table 1

Demographics of respondents

Variables Attributes Number %
* Controlled Variables
Gender and Age* Male 17-22 yo (Gen Z) 29 29%
Male 23-38 yo (Gen Y) 27 27%
Female 17-22 yo (Gen Z) 25 25%
Female 23-38 yo (Gen Y) 19 19%
Total 100 100%
Educational Background High School (equal) 75 75%
Diploma (equal) 7 7%
Unmarried person (equal) 17 17%
Postgraduate (equal) 1 1%
Total 100 100%
Occupation College Student 41 41%
Private Employee 30 30%
Entrepreneur 19 19%
Government Employee 5 5%
Homemaker 4 4%
Others 1 1%
Total 100 100%
Socio-Economic Class Upper I 31 31%
Upper II 41 41%
Middle I 22 22%
Middle II 3 3%
Lower I 2 2%
Lower II 1 1%
Total 100 100%

Table 2

Adjectives from the loading factor category for stimulus Design A

Rotated Component Matrixa
Component
1 2 3 4 5
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization. a
a. Rotation converged in six iterations.
Fun .698 .153 .317 -.093 -.230
Fierce .116 .600 .128 153 .061
Aggressive -.103 .784 -.068 -.058 .135
Masculine .837 .129 .296 -.056 .062
Unique .780 -.112 -.049 -.001 .309
Square .127 .763 .018 .118 -.327
Sharp .016 .609 .356 .139 -.364
Sturdy .279 -.084 .654 .120 -.107
Popular 660 -.203 .084 .271 -.128
Rough -.071 .820 -.044 .015 .205
Fast -.085 -.024 .732 .419 -.130
Strong .015 .140 -.065 .760 .066
Young .411 -.110 .097 .364 -.456
Luxurious -.025 .114 .081 .183 .665
Active -.033 .208 .249 .687 -.003
Heavy .152 .053 .720 -.104 .416
Modern .787 .038 .045 .065 -.220
Good .443 -.192 .095 .572 .104
Complicated -.280 .622 .110 -.048 .384
Large .183 .250 .717 -.015 .074

Table 3

Naming factors for stimulus Design A

Factor Adjective Eigenvalue (λ) Factor Name
F1 Fun (E), Masculine (P), Unique (P), Popular (E), Modern (E) 3.762 Trendy
F2 Fierce (P), Aggressive (A), Square (P), Sharp (P), Rough (P), Complicated (E) 4.198 Bold
F3 Sturdy (P), Fast (A), Heavy (E), Large (P) 2.824 -
F4 Strong (P), Active (A), Good (E) 2.019 -
F5 Luxurious (E) 0.665 -

Table 4

Adjectives from the loading factor category for stimulus Design B

Rotated Component Matrixa
Component
1 2 3 4 5 6
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization. a
a. Rotation converged in ten iterations.
Fun .793 .090 .228 -.412 .032 .003
Fierce .060 .110 -.008 .871 .036 -.120
Aggressive .775 .179 .011 .181 .053 -.106
Masculine .633 .013 .256 .262 .133 .285
Unique .495 .144 .438 .182 .073 .194
Square .265 .060 .005 -.125 .765 -.050
Sharp .031 .063 .057 .246 .825 .058
Sturdy .138 .846 .000 .075 -.007 .088
Popular .416 .210 .685 -.143 -.022 .020
Rough .735 .075 -.076 .330 .175 .001
Fast .577 .320 .300 -.263 .261 .125
Strong .144 .852 .116 -.009 .122 .037
Young .355 -.028 .776 .016 -.009 .242
Luxurious -.013 -.026 .355 -.210 .012 .771
Active .156 .623 .132 .017 .181 -.124
Heavy .195 .521 -.225 .140 -.013 .643
Modern -.055 .592 .579 .209 -.026 -.061
Good -.109 .214 .781 -.275 .120 .007
Complicated .325 .277 -.251 .643 .117 .064
Large .024 .714 .167 .155 -.080 .169

Table 5

Naming factors for stimulus Design B

Factor Adjective Eigenvalue (λ) Factor Name
F1 Fun (E), Aggressive (A), Masculine (P), Rough (P), Fast (A) 3.513 Thrilling
F2 Sturdy (P), Strong (P), Active (A), Heavy (E), Modern (E), Large (P) 4.198 Steady
F3 Popular (E), Young (E), Modern (E), Good (E) 2.821 -
F4 Fierce (P), Complicated (E) 1.514 -
F5 Square (P), Sharp (P) 1.589 -
F6 Luxurious (E), Heavy (E) 1.414 -

Table 6

Adjectives from the loading factor category for stimulus Design C

Rotated Component Matrixa
Component
1 2 3 4 5 6
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization. a
a. Rotation converged in eleven iterations.
Fun .914 .120 .053 -.016 .032 .047
Fierce .154 .349 .760 -.101 -.021 -.081
Aggressive .165 .751 .193 -.092 .066 -.227
Masculine .022 .225 .531 .097 .409 .242
Unique .874 .122 .047 .032 .137 -.074
Square -.070 .066 -.038 -.011 .655 -.108
Sharp -.413 .260 .145 -.041 .515 -.005
Sturdy .145 .274 .563 -.010 -.373 .377
Popular .851 .260 .127 .012 -.076 .034
Rough .002 .165 .013 .232 .102 -.802
Fast .124 .756 .039 .230 .154 .078
Strong .162 .163 .083 .732 .281 -.083
Young .351 -.004 .113 -.357 .333 .258
Luxurious .535 .440 .138 .061 -.088 .469
Active .431 .526 .282 .017 .165 .080
Heavy .006 -.346 .680 .438 .085 -.200
Modern .837 .165 .095 -.086 -.148 -.016
Good .387 .293 -.019 .291 .331 .416
Complicated -.682 .053 .015 .059 .229 -.252
Large -.189 -.018 .032 .795 -.264 -.056

Table 7

Naming factors for stimulus Design C

Factor Adjective Eigenvalue (λ) Factor Name
F1 Fun (E), Unique (P), Popular (E), Luxurious (E), Modern (E) 4.011 Fun
F2 Aggressive (A), Fast (A), Active (A) 2.033 Brisk
F3 Fierce (P), Masculine (P), Sturdy (P), Heavy (E) 2.534 -
F4 Strong (P), Large (E) 1.527 -
F5 Square (P), Sharp (P) 1.170 -

Table 8

Adjectives from the loading factor category for stimulus Design D

Rotated Component Matrixa
Component
1 2 3 4 5 6
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization. a
a. Rotation converged in thirteen iterations.
Fun .635 .480 -.226 .133 .113 -.052
Fierce .257 .660 -.232 .157 .236 -.111
Aggressive .031 .665 .055 .354 .024 .264
Masculine -.016 .684 -.107 -.197 -.071 -.128
Unique .851 -.064 -.063 .208 .016 -.062
Square -.772 .052 .024 .245 -.169 .027
Sharp -.020 -.177 .683 .280 -.069 -.147
Sturdy -.193 .377 -.088 -.067 -.450 .451
Popular .839 .273 -.096 .089 -.017 .000
Rough -.116 .096 .795 .004 .019 -.077
Fast -.111 .053 .157 .800 .193 .161
Strong .137 .661 .135 .164 .181 .160
Young .808 .077 -.138 .025 .044 .230
Luxurious .402 .146 -.140 .221 .008 .636
Active .224 .153 .052 .810 -.097 -.032
Heavy -.191 -.198 .387 -.072 .069 .561
Modern .278 .133 -.329 .233 .366 .489
Good .196 .055 -.116 .083 .710 .250
Complicated -.172 -.057 .582 .035 -.139 .336
Large -.068 .185 -.025 -.034 .803 -.115

Table 9

Naming factors for stimulus Design C

Factor Adjective Eigenvalue (λ) Factor Name
F1 Fun (E), Unique (P), Popular (E), Young (E) 3.133 Youthful
F2 Fierce (P), Aggressive (A), Masculine (P), Strong (P) 2.669 Macho
F3 Sharp (P), Rough (P), Complicated (E) 2.060 -
F4 Fast (A), Active (A) 1.610 -
F5 Good (E), Large (P) 1.513 -
F6 Luxurious (E), Heavy (E) 1.197 -

Table 10

Dimension of users’ perception regarding the scooter body character

Stimulus Male Female
Gen Y Gen Z Gen Y Gen Z
Design A Plain Calm Calm Plain
Bold
Design B Calm Thrilling Thrilling Thrilling
Steady Soft
Design C Fun Fun Sluggish Sluggish
Design D Macho Macho Graceful Old

Table 11

Reason pertaining to the preference of the body character