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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.

Despite entrepreneurial linguistic style gaining increased attention in entrepreneurship studies, the field for digital vlogger entrepreneurs still lacks a comprehensive understanding of how linguistic patterns enhance audiences attitude and behaviour. This study aims to propose a conceptual model of “language-mental imagery-attitude-behaviour model” that leads to the examination of rich sensory language style of food travel vlogger entrepreneurs and its persuasive effect on audiences' attitude and behavioural intention.

The present study utilises a stimulus-based survey method that involves a sensory-rich vlog script extracted from a high social media engagement authentic vlog. Data are collected through an online questionnaire distributed to a sample of 355 participants via the Amazon Turk mechanism. The study employs confirmatory factor analysis and structural equation modelling to test the proposed hypotheses, with the aim of contributing to the advancement of theories of embodied cognition in entrepreneurial language by examining the attitudes and behaviours of audiences exposed to sensory-rich language. The findings of this research provide valuable insights into the effects of sensory-rich language on audience responses and can inform future research on the role of embodied cognition in entrepreneurial communication.

The findings demonstrate that vlogger entrepreneurial sensory-rich linguistic communication style positively influence audiences' attitude, behavioural involvement with food and intention to taste. Visit intention will be enhanced via the mediating effects of attitude, behavioural involvement with food and intention to taste.

This research highlights the significance of sensory-rich language for vlogger entrepreneurs in entrepreneurial communication, digital storytelling and for destination marketing enterprises in creating a digital sensory engagement marketing strategy.

The study contributes to the literature by elucidating the theories of embodied cognition in entrepreneurial communication. By examining the relationships between vlogger communication evoked mental imagery, audiences attitude and behaviours, this study provides novel insights into the effectiveness of sensory-rich language in vlogger entrepreneurial communication and its impact on audience engagement. These findings have important implications for communication scholars and practitioners alike, shedding light on the role of embodied cognition in entrepreneurial language and the potential of sensory-rich language to enhance audience engagement.

The purpose of this study is to investigate the effects of visual and verbal information presentations on mental imagery, perceived informativeness and purchase intention. The study assesses two types of product-related information: (1) visual information: static product images and augmented reality (AR) and (2) verbal information: abstract and concrete product reviews.

A total of 320 mobile consumers participated in the experiment. To increase external validity, this study was conducted in an existing digital shopping environment.

The results suggest that AR has a greater effect on consumers' shopping outcomes than static images. The findings further reveal that concrete product reviews are important in increasing mental imagery, perceived informativeness and purchase intention when visual information does not provide an AR function.

This study contributes to the current literature by providing empirical support for AR effects and concrete reviews on consumer responses. The results further provide an important perspective for retailers seeking ways to develop effective information presentations in digital retailing.

This research focuses on the role of product acquisition cues in positive word-of-mouth (PWOM) content on social media, comparing the characteristics of different sources of product acquisition (purchased vs. gifted) and exploring whether and how they affect consumers' reliance on word-of-mouth (WOM).

The research model was developed based on the mental imagery theory. Two offline experiments and two online experiments were used to test the proposed hypotheses.

The results show that, compared to the purchased source, the gifted source evokes more positive mental imagery and greater emotional attachment to the product, resulting in greater consumer reliance on PWOM. In addition, the effect of the source of product acquisition on reliance on PWOM was stronger for experiential (vs. material) products and for consumers with higher interdependent (vs. independent) self-construal.

This research highlights the role of product acquisition cues in PWOM in influencing consumers' evaluation of WOM, while also revealing the processes inherent in how consumers process information through mental imagery. The findings provide a more comprehensive understanding of the antecedents of reliance on WOM and offer new insights and recommendations for management practitioners.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

The symbolic presentation of products through images in online environments allows consumers to use or experience products only through imagination. Existing literature has demonstrated that providing sensory cues is an effective way to promote imaginative use or experience. However, such an approach seems to have been proposed for product that requires the use of body-related information (e.g. sensory information) for evaluation (high body-involving product). There is less literature on how to facilitate consumers’ imaginative use of product that requires relatively less bodily information (low body-involving product). Considering this, this research proposes a factor that influences the imaginative use of both high and low body-involving products, the character cues in the product image.

In this paper, two studies are conducted to verify the matching effect about presence or absence of character cues with product type (high body-involving vs. low body-involving) in facilitating imaginative use and the downstream effect.

The experimental results indicate that high (low) body-involving product display images are suitable for present (absent) character cues, which can promote the mental imagery of use the product, increase perceived image attractiveness and ultimately increase purchase intentions. The research also verified the influence of distance between the product and the character cues on the above effects.

We expand on the importance of character cues in product display images in an e-commerce environment and enrich the research about imaginative use in online environment.

This paper aims to investigate the effects of virtual reality experiences (VREs) and emotions on holiday destination visit intentions by applying the stimulus-organism-response (S-O-R) framework. It also examined the role of amateur photography as a moderator in the relationship between VREs, emotions and visit intentions.

Primary data were collected through a structured survey questionnaire administered in India, and structural equation modelling (SEM) was used to examine relationships among variables. The formal survey was preceded by a pilot study. The partial least squares-SEM product indicator technique was applied to measure the moderation effect of amateur photography.

When people have high levels of positive emotions in the pre-travel stage with VRE participation, their intentions to visit destinations are stronger. Amateur photography moderated the relationships between user interactivity, memorable experiences, mental imagery and visit intentions. No significant moderating effect was found between emotional experiences and visit intentions.

The results indicate that creators of virtual reality (VR) communications should concentrate on producing interactive and visually striking VR content, as the research found that VR experiences with tourism-related activities have a significant impact on potential visitor emotions. Therefore, VR producers should incorporate authentic and distinctive elements into contents, giving viewers realistic and trustworthy VR tourism experiences. Destination marketers should evoke emotions in people to increase motivations to visit the VR-presented places. Destination marketers should create VR content with hedonic elements, fostering a connection and desire to visit the destination presented in the VR. For example, destination marketers can enhance the sensory aspects of VR content with audio, video, haptics and artificial intelligence, encouraging people to be emotionally captivated and fully immersed. The findings indicate that amateur photography has a significant moderating effect on prospective tourists’ intentions to visit a place presented in VR. Thus, destination marketers are advised to provide photogenic and relevant content to users. By using amateur photography, destinations can market their attractions to potential visitors in a more interactive and relatable manner. Showcasing images taken by amateur photographers presents a genuine perspective of the offerings, thereby increasing visit intentions among prospective visitors. Additionally, amateur photography helps promote the destination in a positive light, emphasizing the attractions and other offerings, and this encourages potential visitors to consider the destination as a travel option, thereby increasing visit intentions. Encouraging amateur photographers to take and share images also increases their engagement with the destination, creating a sense of community and connection and ultimately driving visit intentions. Destination marketers should embrace VR tourism content as a means of promoting their destinations to potential customers by considering the three crucial elements of memorable experiences, emotional experiences and mental imagery. In essence, destination management organizations and other decision makers should develop complete VR communication plans that incorporate interactive and visually striking activities. This can be done by creating VR experiences for prospective tourists, which will enable them to pick their preferred destinations at the pre-travel stage. Through this approach, an effective destination marketing strategy can be established.

This research has value in making several potential contributions to the tourism applications of VR. It is the first study to use and test the S-O-R framework to analyse tourist behaviour from the perspective of emotions generated by VR applications. The analysis focuses on India’s tourism market, which has not been explored much in the context of VR and from the perspective of a developing country. The research emphasizes the use of VR as a tool to understand tourist behaviour rather than just focusing on visit intentions. The findings provide valuable insights into the importance of VR in tourism. The knowledge generated will contribute to the understanding of the impact of VR experiences on emotions and visit intentions and the moderating effect of amateur photography. It has practical implications for destination marketers in developing effective marketing strategies that enhance tourists’ emotions and motivate visit intentions.

本研究运用刺激-机体-反应(S-O-R)框架, 探讨虚拟现实体验（VREs）和情绪对度假目的地旅游意向的影响。还研究了业余摄影在VREs、情感和访问意图之间的关系中的调节作用。

通过在印度进行的结构化调查问卷收集原始数据, 并使用结构方程模型(SEM)来检查变量之间的关系。在正式调查之前进行了一项试点研究。采用PLS-SEM结果指标方法测量业余摄影的调节效果。

当人们在旅行前的VRE参与阶段拥有高水平的积极情绪时, 他们访问目的地的意愿会更强。业余摄影调节了用户交互性、纪念体验、心理意象和访问意图之间的关系。情绪体验与访问意向之间无显著调节作用。

本研究对虚拟现实的旅游应用有几个可能的贡献。这是第一个使用并测试刺激-生物-反应(S-O-R)框架的研究, 从VR应用产生的情感角度分析游客行为。分析集中于印度的旅游市场, 而在VR的背景下和从一个发展中国家的角度来看, 印度的旅游市场还没有得到太多的探索。该研究强调将VR作为一种了解游客行为的工具, 而不仅仅是关注游客的意图。这些发现为VR在旅游业中的重要性提供了有价值的见解。所产生的知识将有助于理解VR体验对情绪和访问意图的影响以及业余摄影的调节作用。这对目的地营销人员制定有效的营销策略, 增强游客的情绪和激发旅游意图具有实际启示。

Esta investigación analizó los efectos de las experiencias de realidad virtual (VREs) y las emociones en las intenciones de visita a destinos vacacionales aplicando el modelo estímulo-organismo-respuesta (S-O-R). También examinó el papel de la fotografía amateur como moderador en la relación entre las VREs, las emociones y las intenciones de visita.

Los datos primarios se recogieron mediante una encuesta con cuestionario estructurado administrado en la India, y se utilizó la modelización de ecuaciones estructurales (SEM) para examinar las relaciones entre las variables. La encuesta principal fue precedida de un estudio piloto. Se aplicó la técnica PLS-SEM para medir el efecto moderador de la fotografía amateur.

Cuando las personas poseen un alto nivel de emociones positivas en la etapa previa al viaje con participación en VRE, sus intenciones de visitar destinos son más fuertes. La fotografía amateur moderó las relaciones entre la interactividad del usuario, las experiencias memorables, las imágenes mentales y las intenciones de visita. No se encontró ningún efecto moderador significativo entre las experiencias emocionales y las intenciones de visita.

Esta investigación tiene el valor de hacer varias contribuciones potenciales a las aplicaciones turísticas de la realidad virtual. Es el primer estudio que utiliza y pone a prueba el marco estímulo-organismo-respuesta (S-O-R) para analizar el comportamiento de los turistas desde la perspectiva de las emociones generadas por las aplicaciones de RV. El análisis se centra en el mercado turístico de la India, poco explorado en el contexto de la RV y desde la perspectiva de un país en desarrollo. La investigación hace hincapié en el uso de la RV como herramienta para comprender el comportamiento de los turistas, en lugar de centrarse únicamente en las intenciones de visita. Las conclusiones aportan valiosas ideas sobre la importancia de la RV en el turismo. Los conocimientos generados contribuirán a comprender el impacto de las experiencias de RV en las emociones y las intenciones de visita, así como el efecto moderador de la fotografía amateur. Se presentan implicaciones prácticas para los responsables de marketing de los destinos turísticos a la hora de desarrollar estrategias de marketing eficaces que potencien las emociones de los turistas y motiven las intenciones de visita.

The purpose of this commentary is discuss how musical intervention and imagined interactions can be used to deal with conflict. Music has been called the universal language because of its tonality and rhythm. It affects conflict and aggression and helps people to deal with stress. Research is reviewed showing physiological arousal with background music. The effects of music on aggression are summarized in terms of emotional regulation, catharsis and empathy, and the use of mental imagery in the form of imagined interactions, including relational maintenance catharsis and conflict linkage, is discussed. The incremental sound organizer (ISO) principle of music therapy is discussed as a mechanism to affect emotions while listening to music. Finally, a tool to measure the emotional effect of music on listeners is discussed in terms of the musical mood wheel.

This is a commentary on the effects of background music on reducing aggression.

Music can reduce aggression, depending on how it is used. Music affects how we manage our emotions, reduces stress, provides catharsis and can be a distracting element. Music can enhance empathic feeling; induce positive moods, social bonding, physiological changes and neurobiological changes; and affect our arousal.

Music therapy and musical intervention can be applied to conflict resolution.

The ISO principle of music therapy is designed to deal with changing a person’s emotions as they listen to a medley of music. The mood of the person is measured using a series of scales reflecting a continuum of sadness to happiness, and the music is designed to match the mood of the patient to the music being played and/or listened to, which in turn fosters the achievement of an altered state of consciousness. For example, if you are angry, start with music that is loud and gradually switch to a more tranquil piece of music. “The vectoring power of music is that we change the mood or emotion of persons from one affective pole (joy) to its opposite (anger) through small incremental changes in the rhythm and intensity of the music” (Honeycutt, 2003, p. 82).

Background music in music psychology literature is often referred to as musical intervention. Background music can help us recall positive and negative scenes as the music triggers endorphins in the brain (Salimpoor et al., 2011). Background music is intended to enhance the surrounding context without drawing significant attention. It is often played in spaces such as restaurants, stores, offices or public places to create a certain mood or ambiance.

It is important to note that the effectiveness of musical intervention in reducing aggression can vary based on individual preferences, the specific type of music used, and the context in which it is applied. Additionally, while music intervention can play a role in aggression reduction, it is often most effective when used as part of a comprehensive therapeutic approach.

This research is located at the intersection of communication, memetics, and the study of the imaginary. As a presupposition, we put forward the existence of a communicational imaginary, in which the contemporary person functions through their competencies in social networks, by meeting the demands of the public and the private, managing the obsessiveness of the sharing of intimacy and the exorbitant number of images. Considering memes as a significant aspect of this communicational imaginary, we seek to understand the dynamics and path of memes in the midst of this plethora of images. From the concept of iconophagy, we deal with the exacerbated multiplication of the images and the path of memes starting from a marginalized environment until it is integrated into social roles and a rational level of thought. Thus, it is the general objective of this research to understand the dynamics and the path of memes amidst the plethora of images in the context of communicational imagery and to investigate the multiplication of memes as representative of the myriad images in contemporary imagery.

This article examines the effect of China's soft power projection through the Chinese media in Africa on the African audiences' perception of China's national image through a case study of the residents of Nairobi. It adopted Joseph Nye's soft power model and sought to address three fundamental questions : What is the extent and objective of China's media diplomacy in Africa? How has China's media “offensive” in Africa impacted African audiences' imagery of China? What are the implications, if any, of China's media diplomacy on the Kenyan public view of China?

This article used a mixed-methods research design, which deployed elements of positivism and interpretivism. It used a deductive approach and deployed the survey strategy, which entailed the collection of data from Nairobi city residents. The secondary data were collected from relevant academic literature sources. The primary data were analyzed empirically using the Statistical Package for the Social Sciences (SPSS), while the secondary data were analyzed using discourse analysis.

China's soft power projection through the Chinese media in Africa is aimed at addressing the “misinformation” about China. China seeks its share of representation among the African public to correct negative perceptions of China. Kenyans had a generally positive attitude toward China. South Africa and Angola have “Fairly” positive perceptions of the Chinese media. However, this study did not reveal whether the perception was due to the influence of Chinese media. These findings implied that the African public's positive imagery of China cannot be fully attributed to Chinese media's influence.

This study is groundbreaking in that it is one of the few studies that have focused on China's public diplomacy in Africa and assessed the impact of Chinese media on the African public’s perception of China.