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The aim of this paper is to achieve a reasonable microclimate between clothing and the human body and optimize the custom dress pattern.

An interactive design method of 3D modeling, virtual try-on and heat transfer simulation are used. First, a 3D dress is designed with nonuniform rational B-splines curves and tried on virtually. After that, the heat transfer in the body-air-clothing microclimate and temperature distributions on the clothing surface are obtained. Based on the heat transfer in the body-air-clothing system, we design a method to improve the thermal comfort by optimizing the garment pattern digitally. Then, this paper utilized two heat transfer validating indexes to quantify the improvement of thermal comfort, and evaluate the modified model of dress.

The microclimate under the clothing is varied with the air gap distance, and the heat transfer on the area of the clavicle, bust point and front abandon are higher than other parts due to the narrow air gaps. In view of thermal comfort, the pattern optimization changes the distance ease and reforms the air circulating efficiency. The mean heat transfer and its standard variance are changing by about 10% and more than 20%. Thus, the heat transfer evaluation indexes are suitable to represent the heat transfer and thermal comfort in the microclimate system.

It can be concluded that the methodology proposed in this paper has the advantage of interactive design, 3D visualization and local heat transfer simulation. This technology meets the need of personalized customization and well-considered garment and has broad application prospects.

This study demonstrates that modifying the distance ease on body key girths based on heat transfer is a reliable way to improve thermal comfort. This method meets the consumers’ demand of the comfort of body-fit clothing under the condition of daily activities.

• 3D air gap distributions.

• Heat transfer varies with air gap distance.

• Thermal comfort can be improved by optimizing garment pattern.

3D air gap distributions.

Heat transfer varies with air gap distance.

Thermal comfort can be improved by optimizing garment pattern.

Guided by stimulus-organism-response (SOR) theory, this study analyzed the user-generated content (UGC) produced by attendees from six anime conventions in the USA.

A total of 739 online reviews and 1,932 photos were collected from the social platforms of six large anime conventions in the USA (Yelp and Facebook), and the study employed thematic analysis and image analysis to analyze the collected UGCs.

The findings revealed eight main themes (i.e. ambient and space, customers, service and products, sign and symbol, social density, emotional status, motivation, and behavior intention) and 32 subthemes across the three dimensions of SOR theory. Leveraging the power of cutting-edge image analysis, the image labels obtained from the analysis contributed to the creation of network clusters. The result of the image analysis also continued consistently with the thematic analysis result, which reflected SOR theory.

Theoretically, the study applied SOR theory and blended thematic and image analyses to gain a comprehensive understanding of anime convention attendees’ experience and categorized the attendees’ emotional status as positive or negative to reflect their overall evaluation. Practically, this study highlighted some complaints from attendees and provided suggestions for operators. However, the study focused only on large anime conventions in the USA; future studies should compare attendees’ experiences with small and large conventions or anime conventions worldwide.

The study utilized UGCs to understand the key patterns essential to attendees during anime conventions in the USA and applied SOR theory to its investigation.

The purpose of this study is to show that the neo-documentary – or complimentary – approach in Library and Information Science by no means is conservative, but highly necessary also in today's digitized media landscape. An example from a digitized photo archive is chosen to demonstrate the importance of a complimentary analysis that considers both material aspects as well as social and mental ones.

By taking Jenna Hartel's description of the neo-documentary turn as point of departure, the paper focuses on one case, the portrait of Johannes Abrahamsen Motka taken by Sophus Tromholt in 1883 and discusses different versions of the photograph from glass plate negatives to digitized versions in different contexts and media.

Many of the same paratextual elements can be found in different versions, also the digitized ones, to help the viewer to establish a historical context, but the images exhibited today are nevertheless no longer the same ones taken by Tromholt at the end of the 19th century. Not only have the material properties changed, but also – and probably even more important in most cases – the social and mental aspects. More re-contextualization is needed for today's audiences to recognize and understand a historical photograph taken in a colonial context. Focusing on document's material elements is not novel within the LIS-field, but the so-called neo-documentary turn was also a reaction on political and technological developments during the 1980s and 1990s. The increased focus on understanding a document in a complimentary way has demonstrated its impact during the last decades and is, at the same time, still work in progress.

As a scholar in the humanities the author can only relate to and therefore analyze what the author can experience and observe on screen level.

In providing a case study, this article illustrates the necessity of employing a complimentary approach when analyzing documents. This also implicates the claim that the neo-documentary turn – or complimentary as it rather should be called – by no means is a conservative one, but a highly necessary one in today's digitized media landscape.

This article aims to help educators provide a holistic view of the LGBTQ community by highlighting children’s books that include non-parental LGBTQ characters.

The author selected over 80 children’s books honored by the American Library Association’s Rainbow Book List. Twenty-two books were analyzed that contain examples of LGBTQ adults existing beyond the homonormative nuclear family, e.g. two same-sex parents raising children.

The author discusses various ways of living represented in these books, such as chosen families, extended families, romantic partnerships and singlehood.

With the increased number of high-quality LGBTQ-inclusive children’s books published in the past decade, this study provides the foundation for educators to select various texts that reveal diverse representations of LGBTQ individuals.

Building upon the cognition-affect-behavior (CAB) model and script theory, this research aims to enrich the existing literature on historic town tourism consumption by offering empirical evidence of how the cognitive and affective images of historic towns contributes to tourists' memorable tourism experiences (MTE) and revisit intention, while identifying the cognitive image dimensions that are relevant for evaluating historic towns.

An on-site survey was conducted with 486 local tourists who visited the historic towns in Chengdu. partial least squares-structural equation modeling (PLS-SEM) was utilized to assess both the measurement and structural models.

(1) Cognitive image emerged as a significant predictor of affective image; (2) Both cognitive image and affective image had a positive influence on MTE, in which cognitive image played a more dominant role in shaping MTE; (3) MTE was found to strongly predict revisit intention among tourists; (4) MTE and affective image mediated the relationship between cognitive image and revisit intention.

This research highlights the value of incorporating cognitive and affective constructs in predicting MTE, and the proposed integrated framework of the CAB model and script theory exhibits superior predictive power in understanding tourists' revisit intention.

This research provides empirical insights about how historic towns improve their marketing strategies as short day-trip destinations.

This research provides a novel insight on the applicability of an integrated model combining the CAB model and script theory in explaining the revisit behavior of local tourists within the context of historic towns.

This study aims to uncover the constraints of automation and the affordances of augmentation related to implementing artificial intelligence (AI)-powered systems across different task types: mechanical, thinking and feeling.

Qualitative study involving 45 interviews with various stakeholders in artistic gymnastics, for which AI-powered systems for the judging process are currently developed and tested. Stakeholders include judges, gymnasts, coaches and a technology vendor.

We identify perceived constraints of automation, such as too much mechanization, preciseness and inability of the system to evaluate artistry or to provide human interaction. Moreover, we find that the complexity and impreciseness of the rules prevent automation. In addition, we identify affordances of augmentation such as speedier, fault-less, more accurate and objective evaluation. Moreover, augmentation affords to provide an explanation, which in turn may decrease the number of decision disputes.

While the unique context of our study is revealing, the generalizability of our specific findings still needs to be established. However, the approach of considering task types is readily applicable in other contexts.

Our research provides useful insights for organizations that consider implementing AI for evaluation in terms of possible constraints, risks and implications of automation for the organizational practices and human agents while suggesting augmented AI-human work as a more beneficial approach in the long term.

Our granular approach provides a novel point of view on AI implementation, as our findings challenge the notion of full automation of mechanical and partial automation of thinking tasks. Therefore, we put forward augmentation as the most viable AI implementation approach. In addition, we developed a rich understanding of the perception of various stakeholders with a similar institutional background, which responds to recent calls in socio-technical research.

Legitimacy is a classic theme, quite present in organisational studies in general, but in the field of tourism it still has room to advance. For that reason, this research seeks to delimit the concept of legitimacy and adapt it to the context of tourism events; and seeks to validate a measurement instrument that allows to evaluate of its recognition in the imagination of residents, and to evaluate the impacts of this construct on residents’ trust in the organisers of Brazilian Oktoberfest, on the negative externalities of those events and, ultimately, on the achievement of residents’ loyalty.

The locus of the research are the cities of Blumenau, Santa Catarina and Santa Cruz do Sul, Santa Catarina, both located in southern Brazil, whose residents answered an online questionnaire about the legitimacy of the Oktoberfest held there. A total of 365 valid questionnaires were collected, tabulated in statistical software and interpreted using exploratory-confirmatory factor analysis and structural equation modelling.

The results show that festival legitimacy is a theoretical construct that can be measured as either a first-order or second-order factor, consisting of three factors, called moral legitimacy, pragmatic legitimacy and cognitive legitimacy.

This research provides a valid and reliable tool for assessing local residents' acceptance of ethno-cultural festivals. It also shows variations in the perception of legitimacy, demonstrating that this can influence other aspects of residents' perception of ethnocultural events.

Surveys in Europe show that immigration is more of a challenge than an opportunity for a significant number of people. However, little attention is given to attitudes toward immigration in the Middle East. This paper examines the effects of personal values and religiosity on the anti-immigration attitudes of citizens in the Middle East and North African countries.

Utilizing data from the World Values Survey, we analyze how personal values and religiosity affect anti-immigration attitudes in nine Middle Eastern countries. The data covers individual-level data of 9 MENA countries from the WVS Round 7 (2017–2022). Factor analysis is applied as a data reduction method. Afterward, an OLS regression analysis is conducted on the pooled data.

Anti-immigration attitudes increase with age, education, and religiosity. Personal values such as national pride, support for nationals, and belongingness to one’s country significantly affect anti-immigration attitudes. Furthermore, the importance of religion as a measure of religiosity was found to be positively associated with anti-immigration attitudes.

This paper contributes to underexplored literature by investigating how individual-level determinants, such as demographic indicators, personal values, and religious factors, shape anti-immigration attitudes in the MENA context, distinct from European dynamics.

The purpose of this study is to empower a tradition Bodo attire Dokhona skilled artisan for their livelihoods and preserve cultural and historical legacy by using new themes influenced by Bodo items.

To revive the traditional Bodo artefacts by adapting a varied form of motifs inspired from Bodo artefacts which showcases Bodo identity.

Motifs implemented in apparel (e.g. Dokhona) inspired from Bodo traditional tools and musical instruments, signifying Bodo identity. Such apparels could be purchased by Bodo consumers as they are very keen to sustain their culture and heritage through motifs weaved in their traditional apparel. This study also proves that Dokhona designed with novel motifs developed from traditional artefacts are better than currently available designs of Dokhona as these were more aesthetic and contemporary in look.

The motif adapted from traditional artefacts would motivate the weavers to weave innovative motif designs in their apparel bringing some newness in the Bodo traditional attire Dokhona, leads to business and women empowerment.

This study showed the way to create innovative ideas for designing apparel (e.g. Dokhona) from cultural artefacts and helps prospective textile and apparel designers to design sustainable Dokhona.

This study aims to understand how retailscape of pop-up stores could influence young Chinese tourists’ emotional response and their subsequent shopping intention in the context of luxury retailing.

A quantitative approach was chosen. Building on the theoretical framework of the stimulus–organism–response (S–O–R) theory, a pop-up store retailscape behavior model was developed to explore the effect of retailscape on young Chinese tourists’ emotional response and patronage intention in a luxury retail setting. In total, 226 structured questionnaires were collected onsite.

The multiple regression analysis reveals that a luxury pop-up store’s retailscape has a positive influence on young Chinese tourists’ emotional response, but it only has a partial influence on their patronage intention. In addition, the result suggests that young Chinese tourists’ emotional response positively influences their patronage intention in luxury pop-up stores.

The study reveals how retailscape influences behavior among the younger generation, and the results provide important references for the luxury retailers in future design and management of pop-up stores so as to attract and retain the interest of the younger generation.

This study puts retailscape effect under scrutiny in the context of luxury pop-up stores which attract young Chinese tourists, who are regarded as one of the major patrons supporting exclusive retail brands in the world. The stimuli element in the S–O–R model is, thus, reexamined in the context of luxury pop-up stores.