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In keeping with recent body image social trends, consumer demand for the adoption of plus-size models is increasing, although the use of thin models remains prevalent. The current study explores how consumers process information about fashion products displayed on different sizes of models in advertisements, focusing on model and consumer body sizes and both genders. As an underlying mechanism explaining how the relationship between model and consumer body sizes shapes consumer purchase intention, this study explores the role of guilt, shame and mental imagery.

The current study uses a text analytics technique to identify female consumers' general opinions of thin models in advertising. Employing a 3 (consumer body size: normal, overweight, obese) × 2 (model body size: thin, plus-size) × 2 (gender: male, female) between-subjects online experiment (n = 718), the main study comparatively analyzes the influences of plus-size and thin models on consumer responses.

The results reveal that, despite body positivity movements, thin models still generate negative emotions among female consumers. For obese female consumers, advertisements featuring plus-size models produce fewer negative emotions but not more mental imagery than advertisements featuring thin models. Conversely, for obese male consumers, advertisements featuring plus-size models generate more mental imagery but not more negative emotions than advertisements featuring thin models. The results also reveal that the relationship between consumer body size and guilt is moderated by perceived model size, which is also moderated by gender in generating mental imagery. While guilt plays a mediating role in enhancing mental imagery, resulting in purchase intention, shame does not take on this role.

This study is the first to present an integrated model that elucidates how consumers with varying body sizes respond to different sizes of models in advertising and how these responses impact purchase intentions.

Our findings only apply to contexts where consumers purchase fashion clothing in response to advertisements featuring thin versus plus-size models.

Exposing normal-size consumers to plus-size models generates less mental imagery, and thus, practitioners should seek to match the body sizes of the models featured in advertising to the body sizes of their target audience or ad campaigns that include both plus-size and thin models may help improve message persuasiveness in fashion advertising. Moreover, guilt-appeal advertising campaigns using thin models would appeal more to thin consumers of both genders than shame-appeal advertising.

This study aims to examine the effects of character body size, subject body size and product type on female adolescents’ attitudes toward the character. Given prior research showing that adolescents identify more strongly with those whom they view as similar to themselves, it is possible that heavy and obese adolescents will react more favorably to plus-size ad characters.

Two studies were conducted, one with females aged 12–14 and a second with females aged 15–17. Based on their body mass index, subjects were classified as of small/average size or overweight/obese. Ads featured either a thin, average-size or plus-size character, and promoted either a healthful or an unhealthful snack item.

In general, small/average size female adolescents responded more favorably toward thin characters, whereas their overweight/obese counterparts responded more favorably toward plus-size characters. Moreover, subjects’ responses were not moderated by the nutritional value (healthful vs unhealthful) of the product being advertised.

To effectively promote healthy foods to overweight/obese adolescents, it may be advantageous to incorporate plus-size characters. Additional research is needed, however, to determine whether this approach can effectively influence brand attitudes and consumption behaviors.

As obesity rates continue to rise, it has become vitally important to encourage healthier food choices among youth. To develop effective communication strategies, marketers need to better understand how young consumers respond to various advertising cues.

To the best of the authors’ knowledge, this is the first study to examine the effect of character size and subject size on female adolescents’ attitudes toward the character.

In August, 2015, Serena Williams, one of the most successful female athletes of all time, was body shamed in a New York Times article. The incident highlights the issue of unequal treatment of male and female athletes – while a muscular frame enhances masculinity for male athletes, a muscular physique invites body shaming for female athletes. In this study, symbolic interactionist theories regarding the generalized other are called into question. While George Mead's theorizing exhibits a nonproblematic role taking of the generalized other in a cooperative manner, this study reports the presence of paradoxical generalized others, and consequently, the incongruent role taking of a latent generalized other by individuals. This study investigates if the issue of body image exists among college female athletes, if college female athletes experience the dilemma of choosing between outstanding performance with a muscular frame or maintaining traditional female appearance. To provide answers to the question, female athletes in a midwest university were invited to fill out a survey. The survey results confirm the existence of a paradox between performance and appearance among some college female athletes.

This study focused on how to quantify the similarities of body shape based on the front and side images, and a shape comprehensive index (I_SC) of female upper body shape based on 2D images was proposed.

In total, 190 young women were shot for front and side images, and 18 shape parameters were automatically extracted, including seven angles and 11 ratio parameters. The coefficient of variation method was used to assign different weights for related parameters, and the I_SC was calculated to describe the body shape of each subject. Five cross-sectional curves of the upper body (e.g. shoulder, chest, waist, abdomen and hip) were selected for exploring the range of shape similarity.

According to the value of I_SC, if the difference among the subjects is within the range of ±0.02, their body shapes can be regarded as similar, and the subject with the minimum distance is considered as the most similar. Error results show that the error range of the angle parameter is from 0.2° to 3.6° and the ratio range is from 0.001 to 0.119. Moreover, the t-test value among the parameters of the similar body is above 0.05, indicating that there is no significant difference for the upper body shape of the similar groups.

This method can quantify body shapes with the upper body characteristics of young women instead of subjective judgment. The study can be extended to other parts of the body and can also provide a new thought for shape similarity retrieval based on 2D images.

The purpose of this paper is to define the evaluation criteria for Chinese female lower body shapes and simplify the evaluation process of shapewear, including girdles, shaping pants, etc.

The study utilized a machine learning algorithm based on support vector regression and optimized by a genetic algorithm to construct an evaluation model for the contour beauty of Chinese female lower body shapes. A total of 64 virtual 3D models of women were measured. These models were rated by 42 raters using the Likert 9 psychological scale and data was obtained from 310 female samples.

Eight factors were selected and used to create a regression prediction model. The model achieved an accuracy of 84.7% for the training samples and 86.6% for the test samples.

The model can be utilized to assess the aesthetic appeal of the female lower body and to evaluate the shaping impact of shapewear. The research and evaluation of shapewear for the female lower body are of great significance, particularly in enhancing production efficiency.

Body shape is a critical variable influencing consumers' garment choices (Zakaria, 2017), yet research investigating how UK females with varying body shapes evaluate and experience fit is limited. Moreover, while digital methods exist to classify female body shapes, application in a commercial setting is limited. To fill this gap within the literature, this study aims to understand the influence of body shape variation on garment fit evaluations of 30 UK females aged 18–34 years.

This study conducts a physical garment try-on session whereby 30 UK females aged 18–34 years were body-scanned and categorised into a body shape, using the Female Figure Identification Technique method. Participants verbalised their fit experiences during a physical try-on session through semi-structured interviews to gain a deeper understanding of individuals' fit appraisals.

The findings demonstrate that UK females who share the same body shape classification experience the same issues when appraising dress fit, challenging Makhanya and Mabuza (2020) who found that body shape does not influence apparel fit satisfaction. The results shed light on the importance of body shape during the fit appraisal process.

Despite the contribution, future research to improve the limitations should be addressed. First, although it was necessary to investigate a UK demographic to address research gaps, the finding of this study cannot be generalised to the entire UK female population nor to other areas of the world. Hence, future research should overcome this limitation by extending this study further to other countries, cultures and ethnicities.

The findings of the present study shed light on the role of body shape in determining satisfactory clothing fit and how females' fit experiences will differ depending on their body shape classification. Thus, fashion retailers should use this insight to better inform their promotional strategies, not only making them more inclusive but also to help assist this particular consumer segment with their clothing decisions based on their body shape.

The present study provides an in-depth understanding of how females with the same body shape experience garment fit, contributing novel findings to the literature through a mixed-method inquiry previously lacking in this area, with a UK demographic which has not previously been explored.

The racialized gendered body in consumer culture invokes the construction of identities and representation of beauty through embodiment practices. As companies hone in on consumer racial marker distinctions to enhance uniqueness as otherness for profit, an analysis of hair products marketed for Black hair textures provides an opportunity to analyze how products use these at the intersection of race, gender, and beauty. This study uses constructivist grounded theory to analyze the product names and long descriptions for 124 shampoos marketed for Black hair textures on the websites of two major retailers to answer the following questions: What message does the discourse of shampoo product descriptions marketed to Black hair textures communicate about beauty? What message does the discourse of shampoo product descriptions marketed to Black hair textures communicate about Blackness? How does this discourse define the embodiment of Black beauty through hair? The results reveal that the racialized gendered body in consumer culture invokes the construction of identities and representations of beauty through embodiment practices. Through advertisements and product descriptions, beauty companies create ideal images of the lived experiences achieved through consuming beauty products. By constructing visual interpretations of racial signifiers through text, marketing strategies encourage the consumption of otherness, creating a racialized space for Blackness consumption. Combining the five senses with the descriptions of shampoo products marketed for Black hair textures helps us see how beauty embodiment practices reinforce racialized and gendered practices to subjugate the Black body.

This qualitative study aims to explore general perceptions of a woman experiencing negative menopausal symptoms in the workplace. It examines the socio-cultural understandings informing the responses of a mixed participant group, including those unlikely to have experienced menopause, to a hypothetical scenario involving a woman disclosing negative menopausal symptoms in the workplace – to either a female or male manager.

Using an innovative hybrid vignette-story completion (SC) technique, data were generated from 48 employees of a single UK-based organisation. Participants were presented with a vignette featuring a protagonist (Julie) experiencing negative menopausal symptoms, asked questions about their imaginings of Julie and how she might be perceived by others in the workplace, then presented with a story stem and asked to continue the story in the third person. The stem depicted Julie preparing to tell her manager about her symptoms and featured either a male or female manager, with one variation randomly presented to each participant. Responses were analysed using reflexive thematic analysis.

This study reports four themes: (1) the burden of menopause; (2) managing menopause at work; (3) menopause as not belonging in the workplace; and (4) menopause as unlocking new life potential? Limitations and directions for future research are discussed.

Using the innovative hybrid vignette-SC technique, this study contributes to the current discourse on menopause in the workplace by providing insight into how menopausal employees experiencing negative symptoms are perceived by others and the social understandings that shape these perceptions.

To support achieving sustainable development goals (SDGs), we integrated science, technology, engineering and math (STEM) and extended reality technologies into an artificial intelligence (AI) learning activity. We developed Feature City to facilitate students' learning of AI concepts. This study aimed to explore students' learning outcomes and behaviors when using Feature City.

Junior high school students were the subjects who used Feature City in an AI learning activity. The learning activity consisted of 90-min sessions once per week for five weeks. Before the learning activity, the teacher clarified the learning objectives and administered a pretest. The teacher then instructed the students on the features, supervised learning and unsupervised learning units. After the learning activity, the teacher conducted a posttest. We analyzed the students' prior knowledge and learning performance by evaluating their pretest and posttest results and observing their learning behaviors in the AI learning activity.

(1) Students used Feature City to learn AI concepts to improve their learning outcomes. (2) Female students learned more effectively with Feature City than male students. (3) Male students were more likely than female students to complete the learning tasks in Feature City the first time they used it.

Within SDGs, this study used STEM and extended reality technologies to develop Feature City to engage students in learning about AI. The study examined how much Feature City improved students' learning outcomes and explored the differences in their learning outcomes and behaviors. The results showed that students' use of Feature City helped to improve their learning outcomes. Female students achieved better learning outcomes than their male counterparts. Male students initially exhibited a behavioral pattern of seeking clarification and error analysis when learning AI education, more so than their female counterparts. The findings can help teachers adjust AI education appropriately to match the tutorial content with students' AI learning needs.