International Journal of Human-Computer Studies最新文献

{"title":"An epistemic network analysis of communication strategies during drawing-supported spatial dialogue in VR","authors":"Brandon Victor Syiem ,&nbsp;Selen Türkay ,&nbsp;Cael Gallagher ,&nbsp;Christoph Schrank","doi":"10.1016/j.ijhcs.2025.103725","DOIUrl":"10.1016/j.ijhcs.2025.103725","url":null,"abstract":"<div><div>Communicating spatial information is challenging using solely verbal or written language, and is often supported by non-verbal gestures and illustrative drawings. However, the growing need for communicating increasingly complex spatial information, coupled with the rise of remote collaboration, presents challenges that current screen-based solutions are ill-equipped to address. Virtual Reality (VR) offers capabilities to support both non-verbal gestures and complex visual aids, through embodied avatars and 3D virtual representations. However, the novelty of creating, referencing, and viewing 3D drawings in VR may influence the interlocutors’ actions, speech and communication performance. We conducted a mixed-methods within-subject study with dyads to investigate the effects of drawing dimension (2D or 3D drawings) on spatial dialogue behaviours in VR. We found no significant effects of drawing dimension on communication performance and workload, but found significantly different interlocutor actions and speech. We discuss relevant implications and highlight considerations unique to the different communication strategies observed during 2D and 3D drawing use for supporting spatial dialogue in VR.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103725"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145940999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Critical reflections on user studies’ evaluation methods for group recommender systems","authors":"Francesco Barile,&nbsp;Pierre Hurlin,&nbsp;Cedric Waterschoot,&nbsp;Nava Tintarev","doi":"10.1016/j.ijhcs.2026.103742","DOIUrl":"10.1016/j.ijhcs.2026.103742","url":null,"abstract":"<div><div>Social choice-based aggregation strategies are often used in group recommender systems to aggregate individual preferences or recommendations. However, previous works evaluating group recommenders with user studies found that the diversity of the group members’ preferences impacts the effectiveness of the strategies.</div><div>In this paper, we highlight and address the methodological limitations of those previous works. Specifically, the methodologies we introduce demonstrate the following three novelties: <strong>1)</strong> We evaluated the strategies from the viewpoint of an “internal evaluator”; <strong>2)</strong> We introduced a novel methodology for modeling a fictional but realistic group with specific preference profiles for the group members, defining scenarios with concrete users and items, that are still mapped to specific group configurations; <strong>3)</strong> We evaluated the understanding of the participants, by measuring how well they can successfully apply the aggregation strategy to a new scenario.</div><div>To do this we performed a randomized controlled trial (n=444) using a mixed design with two between-subject factors (the used <strong>aggregation strategy</strong> and the presented <strong>explanation type</strong>), and a within-subject factor (the <strong>group configuration</strong>). Our results, with friend groups, showed significant differences in the effectiveness of the aggregation strategies depending on the specific <em>group configuration</em> (i.e., depending on the internal diversity of group members’ preferences), with noticeable differences between evaluations of what is good for the group – <em>external evaluation</em> – and what is good for the participant – <em>internal evaluation</em>. We conclude with methodological implications for group recommender systems.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103742"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038683","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are we close enough? Impact of stress management chatbot’s self-disclosure and relationship types on user’s self-disclosure, trust, intimacy, and anonymity","authors":"Soohyun Yoon,&nbsp;Younah Kang","doi":"10.1016/j.ijhcs.2026.103738","DOIUrl":"10.1016/j.ijhcs.2026.103738","url":null,"abstract":"<div><div>College students experience elevated stress levels, making AI-based chatbots promising tools for accessible stress management support. For effective stress management interventions, a user’s self-disclosure and trust toward chatbots are critical factors. While prior studies highlight the benefits of self-disclosure to chatbots, it remains unclear how these effects manifest in emotionally sensitive contexts or vary depending on the relationship type established with the chatbot.</div><div>The CASA (Computers Are Social Actors) paradigm explains that people apply social rules to computers, while Social Penetration Theory (SPT) emphasizes the reciprocity of self-disclosure in relationship formation. Therefore, this study investigates whether stress management chatbot’s self-disclosure and chatbot-user relationship types influence user’s self-disclosure, trust, anonymity, and intimacy in ways that parallel human-to-human interactions, as suggested by the CASA paradigm.</div><div>A 2 × 2 factorial design was employed with the chatbot’s self-disclosure presence and relationship type (mentor or peer) as independent variables. A total of 112 undergraduate students participated in chatbot-mediated stress management sessions, followed by evaluation surveys; after data screening, 100 participants were retained for analysis. Semi-structured interviews were conducted and analyzed with 24 participants across four chatbot types.</div><div>Results revealed that the chatbot’s self-disclosure had no significant effect on user outcomes. However, relationship type significantly influenced user anonymity and self-disclosure: mentor-relationship chatbots, mimicking more distant professional relationships, provided greater user anonymity, while peer relationship chatbots elicited greater user’s self-disclosure. These findings notably support the CASA paradigm. By integrating qualitative insights with quantitative findings, this study identifies design implications and key factors for developing effective stress management chatbots.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103738"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Voice interaction under cognitive load: Non-verbal auditory inputs for automated vehicles","authors":"Yijiao Yang,&nbsp;Chenwen Lin,&nbsp;Xu Sun,&nbsp;Qingfeng Wang","doi":"10.1016/j.ijhcs.2026.103746","DOIUrl":"10.1016/j.ijhcs.2026.103746","url":null,"abstract":"<div><div>In automated vehicles (AVs), the driver’s dual role as system supervisor and participant in Non-Driving Related Activities (NDRAs) poses a critical human-computer interaction challenge by competing for limited cognitive resources. While large language models have substantially advanced the semantic understanding of voice interaction, the mechanism aspect of how users initiate, maintain, and terminate commands remain underexplored in terms of usability and safety. To address this, our research systematically investigates Non-Verbal Auditory Inputs (NVAIs) and their integration with speech across a three-part experimental study. It progressed from foundational activation feasibility (Experiment 1, <em>N</em> = 20) and single-task performance evaluation (Experiment 2, <em>N</em> = 35) to quantifying cognitive interference within a dual-task driving simulator (Experiment 3, <em>N</em> = 38). Our findings reveal critical trade-offs across the interaction stages. For activation (Experiment 1), users preferred the reliability of traditional wake-up words, whereas NVAIs received higher hedonic ratings but raised accessibility concerns. For continuous control (Experiment 2 and Experiment 3), a hybrid mechanism using a finger snap to terminate a spoken command significantly enhanced control precision without increasing interference to the primary supervisory task. Conversely, a mechanism mapping control to a sustained vowel extension proved unsuitable due to its high cognitive and physiological costs. In conclusion, these results demonstrate that the choice of input mechanism is critical under cognitive load. NVAIs such as snapping show promise as start-up and stop channels in supervisory AV contexts and motivate adaptive, multimodally redundant in-vehicle systems that better balance efficiency, user comfort, and safety.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103746"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Beyond happy and sad: Exploring granular affect labeling to enhance emotion regulation ability","authors":"Mia Huong Nguyen,&nbsp;Dixon Prem Daniel Rajendran,&nbsp;Suranga Chandima Nanayakkara","doi":"10.1016/j.ijhcs.2025.103723","DOIUrl":"10.1016/j.ijhcs.2025.103723","url":null,"abstract":"<div><div>Growing evidence in affective neuroscience suggests that emotion words do more than simply label emotions; they actively shape emotion concepts, which in turn influence how we experience and regulate emotions. Emotion concepts are mental representations that the brain uses to categorize and make sense of affective experiences. Expanding one’s repertoire of nuanced emotion concepts has been linked to better emotion regulation, yet this promising potential has been largely overlooked by existing technologies and interventions. To address this, we developed a conversational agent informed by the Theory of Constructed Emotions, employing <em>granular affect labeling</em> to expand users’ emotion concepts and strengthen regulation abilities. Through a 24-day controlled field study involving 33 participants, we found that our chatbot broadens participants’ active emotion vocabulary—a direct window to one’s emotion concepts—and significantly improves their ability to regulate emotions compared to a control emotional support chatbot. Our findings contribute to a deeper understanding of how granular affect labeling can be leveraged in technology to cultivate more nuanced emotional experiences and enhance well-being.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103723"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145898025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Adaptive persuasive games: A systematic literature review","authors":"Sabrina Villata,&nbsp;Federica Cena,&nbsp;Amon Rapp","doi":"10.1016/j.ijhcs.2026.103744","DOIUrl":"10.1016/j.ijhcs.2026.103744","url":null,"abstract":"<div><div>Persuasive systems aim to support behavior change using interactive technologies. Among them, <em>adaptive persuasive games,</em> which combine game-based approaches with adaptive features, have recently emerged as promising tools for promoting positive behavioral changes. In this article, we report the findings of a systematic literature review of existing adaptive persuasive games (<em>N</em> = 55), following the Grounded Theory approach for Literature Review. We point out the main types of game-based approaches employed in the literature and the importance of aesthetics, playability, and variety in the game design. Then, we investigate the adaptation techniques employed and the central role of users’ individuality in the proposed designs. Moreover, we analyze the main persuasive theories on which adaptive persuasive games rely, as well as the most commonly used intervention designs. Finally, we describe the evaluation methodologies used and the outcomes of the proposed interventions in terms of behavior change, motivation and engagement. In conclusion, we discuss the issues emerging from the current literature and identify possible solutions and future research directions for adaptive persuasive game design.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103744"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038682","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cognitive engagement across age groups in living heritage museums: Evaluating media modalities for Warin Chamrap's railway cultural transformation","authors":"Natthapong Nanthasamroeng ,&nbsp;Rapeepan Pitakaso ,&nbsp;Paweena Khampukka ,&nbsp;Arunrat Sawettham ,&nbsp;Sairoong Dinkoksung ,&nbsp;Surajet Khonjun ,&nbsp;Thanatkij Srichok ,&nbsp;Kanya Jungvimut ,&nbsp;Yong Boonarree ,&nbsp;Ganokgarn Jirasirilerd ,&nbsp;Chawapot Supasarn ,&nbsp;Pornpimol Mongkhonngam","doi":"10.1016/j.ijhcs.2026.103735","DOIUrl":"10.1016/j.ijhcs.2026.103735","url":null,"abstract":"<div><div>This study explores how interpretive media can engage intergenerational audiences in heritage exhibitions. Evaluating five media formats—poster exhibit, audio guide, short film, digital game, and documentary video—within a railway transformation exhibition in Warin Chamrap, Thailand, the study involved 150 participants across five age groups (children, teens, young adults, adults, older adults). Participants engaged with all five media types, with data collected through surveys, comprehension tests, structured observations, and interviews. ANOVA and Tukey’s HSD revealed significant interaction effects between media modality and age group (F(16, 720) = 2.97, <em>p</em> &lt; 0.001, η² = 0.09). Children favored digital games, teens preferred short films, adults excelled with audio guides, and older adults engaged with documentaries. Four design heuristics—interactivity, emotional resonance, clarity, and familiarity—emerged as key to enhancing engagement. This study emphasizes the need for age-aligned, multisensory interpretive design to optimize cognitive engagement and learning across generations in museum settings.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103735"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding user preferences in recommender systems: A systematic review with a user-centric perspective in the audiovisual domain","authors":"Dongxiao Li,&nbsp;Annelien Smets,&nbsp;Heritiana Ranaivoson","doi":"10.1016/j.ijhcs.2026.103741","DOIUrl":"10.1016/j.ijhcs.2026.103741","url":null,"abstract":"<div><div>User preference is central to the design and effectiveness of recommender systems (RS), as its satisfaction influences both user experience and platform success. However, the concept of user preference is inherently complex, and existing knowledge remains diverse and fragmented, lacking a synthesis that considers users’ multiple and evolving needs. Adopting a user-centric perspective, this study systematically reviews 135 RS papers focused on how user preferences are defined and operationalized in the audiovisual (AV) domain. Grounded in theories of multi-attribute utility and bounded rationality, this review focuses on key dimensions related to the conceptualization and application of user preferences in RS studies. We develop a typology to categorize the main issues and methodological approaches and identify prevailing trends and research gaps across these dimensions. Our findings reveal that: (1) user preference definitions are frequently absent, with few studies offering explicit conceptualizations. (2) user participation in preference elicitation is limited, with most studies relying on offline datasets and prioritizing content relevance metrics over user experience; (3) User attributes, such as demographics and personality traits are underrepresented compared to item attributes like content features, leading to overspecified models and reduced interpretability; and (4) interest in temporal and contextual preference dynamics is growing, although stability remains crucial for consistent recommendations. These findings indicate critical shortcomings in understanding and operationalizing user preferences from a user-centric perspective. We emphasize the need for greater integration of insights from psychology and behavioral studies to ensure that RS design aligns with users’ intrinsic, evolving, and long-term needs.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"209 ","pages":"Article 103741"},"PeriodicalIF":5.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146038693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the effect of co-speech gesture prediction on Human–Robot Interaction","authors":"Enrique Fernández-Rodicio,&nbsp;Juan José Gamboa-Montero,&nbsp;Marcos Maroto-Gómez,&nbsp;Álvaro Castro-González,&nbsp;Miguel A. Salichs","doi":"10.1016/j.ijhcs.2025.103674","DOIUrl":"10.1016/j.ijhcs.2025.103674","url":null,"abstract":"<div><div>Robots are starting to be used in tasks involving human–robot interactions. For them to be efficient in these tasks, they must be seen as suitable interaction partners. One method to achieve this is to enable them to use proper verbal and non-verbal communication. Selecting non-verbal behaviours that appropriately complement the robot’s verbal messages is complex and requires roboticists to understand how each dimension of communication, as well as their combination, affects how the user perceives the message. In this work, we evaluated the effect of selecting appropriate non-verbal expressions given the robot’s speech on how users perceive the robot and its expressiveness. To do this, we conducted a within-subjects experiment where participants played cards with two robots — one that used a co-speech gesture prediction module for selecting its non-verbal expressions and another that used random expressions. The results showed that using the gestures predicted by our system improves the experience of participants during interactions. Specifically, participants perceived the robot using the co-speech gesture prediction module as having a higher level of agency, and as having a more coherent expressiveness.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"207 ","pages":"Article 103674"},"PeriodicalIF":5.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145529157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Movement instability and body image factors: Unobtrusive real-time detection of loss of control in ballet dancers","authors":"Concepción Valdez ,&nbsp;Ana Tajadura-Jimenez ,&nbsp;Monica Tentori","doi":"10.1016/j.ijhcs.2025.103686","DOIUrl":"10.1016/j.ijhcs.2025.103686","url":null,"abstract":"<div><div>Understanding the relationship between movement variability and body image is essential in disciplines where motor control and body perception are closely linked, such as dance. The present study with 24 ballet dancers presents a computational approach for detecting moments of loss of control in elbow movement fluidity. This serves as an objective proxy for body image and body awareness, as subtle disruptions in movement, especially in joints that are not the primary focus of technical training, can reflect increased self-monitoring or discomfort, factors commonly associated with negative body image in dancers.</div><div>Through movement analysis during two common rehearsal contexts (i.e., marking choreography and full execution with music) we examined how movement variability differs based on task demands. Our findings show that loss of control moments are more frequent during marking, underscoring the influence of rehearsal context on both motor performance and body-related self-perception. Furthermore, we demonstrate that movement instability in the elbow joint can be associated with self-reported measures of body image and awareness, reinforcing the connection between motor variability and psychological well-being.</div><div>By identifying the elbow as a sensitive and reliable indicator of instability during ballet practice, our approach offers a lightweight alternative to full-body kinematic analysis, supporting practical applications beyond laboratory settings. From a Human-Computer Interaction (HCI) and Ubiquitous Computing (Ubicomp) perspective, this work contributes design insights for systems that integrate body image and movement behavior metrics. These findings open new possibilities for interactive technologies aimed at enhancing body image and improving movement precision in dancers and other movement practitioners.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"208 ","pages":"Article 103686"},"PeriodicalIF":5.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145624452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}