International Journal of Human-Computer Studies最新文献

{"title":"LLM-based conversational agents for behaviour change support: A randomised controlled trial examining efficacy, safety, and the role of user behaviour","authors":"Selina Meyer,&nbsp;David Elsweiler","doi":"10.1016/j.ijhcs.2025.103514","DOIUrl":"10.1016/j.ijhcs.2025.103514","url":null,"abstract":"<div><div>This study examines the use of Motivational Interviewing (MI) principles in a GPT-4-based chatbot, MIcha, to promote behaviour change. We conducted a pre-registered randomised controlled trial to assess the integration of MI techniques in conversational agents, aiming to support users’ behaviour change through guided self-reflection and identify how users interact with large language model (LLM)-based systems in this context. Results indicate that short conversations with LLM-based chatbots are successful at increasing users’ readiness to change and usage of MI principles during text generation can effectively mitigate potential harms. Additionally, we identified distinct user behaviour types — cooperative, reflective, and pre-informed—that significantly influenced the outcomes of interactions. These findings demonstrate the potential of MI principles in enhancing the efficacy of conversational agents for behaviour change and highlight the importance of user behaviour in shaping interaction dynamics.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103514"},"PeriodicalIF":5.3,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143886261","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":"AI-generated tactile graphics for visually impaired children: A usability study of a multimodal educational product","authors":"Hantian Wu,&nbsp;Hongyi Yang,&nbsp;Fangyuan Chang,&nbsp;Dian Zhu,&nbsp;Zhao Liu","doi":"10.1016/j.ijhcs.2025.103525","DOIUrl":"10.1016/j.ijhcs.2025.103525","url":null,"abstract":"<div><div>Approximately 70 million children aged 0–14 worldwide have visual impairments, limiting their language acquisition and image recognition development due to a lack of visual input. Human-computer interaction technologies provide an opportunity to learn Braille and images through touch and auditory stimuli, replacing traditional visual input elements. However, effectively integrating these sensory inputs remains a challenge. To address this, we developed \"TaleVision,\" a product that uses large language models to instantly generate touchable images and sound effects, allowing visually impaired children to better understand the connection between Braille and images. We recruited five sighted children and 14 children with congenital visual impairments to test our product. Almost all participants reported high satisfaction and rated the user experience highly. Additionally, we also observed how visually impaired children and teachers interacted with our products to improve teaching and learning. Based on the results, we discussed best design practices, process recommendations, and potential future solutions.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103525"},"PeriodicalIF":5.3,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143882874","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":"Sensors and Sensibilities: Exploring Interactions for Habitat Comfort with An Environmental-Physiological Sensing Eyewear In the Wild","authors":"Sailin Zhong ,&nbsp;Patrick Chwalek ,&nbsp;Nathan Perry ,&nbsp;David Ramsay ,&nbsp;Clayton Miller ,&nbsp;Denis Lalanne ,&nbsp;Hamed S. Alavi ,&nbsp;Joseph A. Paradiso","doi":"10.1016/j.ijhcs.2025.103510","DOIUrl":"10.1016/j.ijhcs.2025.103510","url":null,"abstract":"<div><div>Buildings increasingly incorporate sensing and actuation techniques to automate the regulation of temperature, lighting, ventilation, and more. This trend seeks to minimize human intervention, justified by the promise of enhancing energy optimization. However, it has been widely acknowledged that loss of control over environmental conditions can lead to a diminished perception of comfort and compromised long-term user awareness and satisfaction. How can we envision building systems that can interact with building inhabitants and engage them at the “right” time and place? In this work, we address this challenge through three key contributions: 1) AirSpecs, a novel smart glasses-based system that enables holistic sensing of Indoor Environmental Quality (IEQ) and physiological data, 2) an objective method for assessing environmental awareness using a peripheral LED light and a proposed comfort awareness process, and 3) design implications for addressing the fluidity of comfort. Over five days, 30 participants across three continents used the AirSpecs device and its accompanying mobile application. Through a mixed-methods analysis of user interactions, post-experience surveys, interviews, and co-design sessions, we present findings and design scenarios that demonstrate the potential of our contributions to enhance occupant engagement and comfort in smart buildings in the future.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103510"},"PeriodicalIF":5.3,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143863539","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 workers’ psychological states and physiological responses during human–robot collaboration","authors":"Egle Maria Orlando ,&nbsp;Federica Nenna ,&nbsp;Davide Zanardi ,&nbsp;Giulia Buodo ,&nbsp;Michele Mingardi ,&nbsp;Michela Sarlo ,&nbsp;Luciano Gamberini","doi":"10.1016/j.ijhcs.2025.103516","DOIUrl":"10.1016/j.ijhcs.2025.103516","url":null,"abstract":"<div><div>The integration of collaborative robots (cobots) in manufacturing industries has triggered special attention toward human operators and their cognitive, affective, and behavioral responses to the collaboration with these robots. In this framework, the number of metrics and the interrelated nature of the cognitive phenomena they may reflect (e.g., workload, stress, fatigue, affective state) leaves open the question of what measures better respond to such cognitive fluctuations and whether the integration of multiple physiological signals increases their predictive power in capturing the operators’ mental state. This study addresses these topics by exploring the impact of industrial HRC on human workload, mental fatigue, and stress through a multi-method approach combining subjective (i.e., self-reported workload, fatigue, and stress), behavioral (i.e., performance speed and errors), and physiological measures (i.e., Heart Rate Variability and Pupillometry). The findings highlight the importance of choosing combined or single physiological measures based on specific constructs of interest and evidence the advantages of using a multi-method approach for more accurate monitoring of these psychophysical states, contributing to refining existing methods and advancing theoretical understanding.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103516"},"PeriodicalIF":5.3,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874489","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":"Multi-semantic and multi-behavior recommendation with graph attention networks","authors":"Ping Lou ,&nbsp;Runnan Zhou ,&nbsp;Xuemei Jiang ,&nbsp;Jianmin Hu","doi":"10.1016/j.ijhcs.2025.103513","DOIUrl":"10.1016/j.ijhcs.2025.103513","url":null,"abstract":"<div><div>Recommender systems have become an essential tool to help resolve the information overload problem in recent years. Traditional recommender systems usually rely on Collaborative Filtering (CF) methods based on user-item interactions. However, these methods face data sparsity issues in most cases, which negatively impact recommendation performance and reduce user experience. Recent researches focus on content enriched methods incorporating semantic relevance enhancing the representation learning and improving data utilization. To this end, this paper proposes a recommendation model, named MSMB-GAN (Multi-Semantic Multi-Behavioral Graph Attention Network) aimed at improving recommendation accuracy. To construct this model, multi-facet information is made full use, including user-item interaction behavior (like view, click, add to cart, etc.), social network, and item category information. An encoder is used to capture different behavior relationship between users and items; and a graph attention mechanism is used to capture the strength of user-user social relationship; and a decay factor is introduced to represent the changing demand of users to different item categories in this model. Finally, the user representations extracted from the user-item interaction behaviors, user-user social relationships, and item-category correspondence information are weighted and integrated. Experimental results on synthetic and real-world datasets show that MSMB-GAN can achieve better recommendation performance compared to some existing methods. Further ablation experiments verify the effectiveness of utilizing multi-source information.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103513"},"PeriodicalIF":5.3,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143878777","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":"Enhancing user information disclosure intention in dynamic conversations of intelligent recommendation systems based on large language models: A perspective of user gratification and privacy calculus","authors":"Chunze Xu,&nbsp;Fengqiang Gao,&nbsp;Lei Han","doi":"10.1016/j.ijhcs.2025.103511","DOIUrl":"10.1016/j.ijhcs.2025.103511","url":null,"abstract":"<div><div>Intelligent recommender systems, as powerful tools for users to provide personalised recommended content, have penetrated into all aspects of life, influencing users' behaviour and experience. However, research on the impact of the interaction process between users and intelligent recommender systems on user use and disclosure is still limited. In order to fill this research gap, this study is based on the Use &amp; Gratification Theory and the Privacy Disclosure Theory, conducting a research model under the Use-Gratification-Disclosure framework, exploring the use and satisfaction process of users when using intelligent recommender systems as well as the mechanism of the influence on the information disclosure intention, and analysing the variations between the elders and youths. The results indicate that diverse types of use processes lead to different sorts (utility, hedonic, and social) as well as various degrees of satisfaction for users. The relative satisfaction obtained by users had a significant positive effect on intention to disclose information. Moreover, this effect differed significantly between different age groups. The above results provide novel and valuable insights into understanding users' experiential needs, use satisfaction, and disclosure behaviour in the field of human-computer interaction.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103511"},"PeriodicalIF":5.3,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834007","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":"Modeling visually-guided aim-and-shoot behavior in first-person shooters","authors":"June-Seop Yoon ,&nbsp;Hee-Seung Moon ,&nbsp;Ben Boudaoud ,&nbsp;Josef Spjut ,&nbsp;Iuri Frosio ,&nbsp;Byungjoo Lee ,&nbsp;Joohwan Kim","doi":"10.1016/j.ijhcs.2025.103503","DOIUrl":"10.1016/j.ijhcs.2025.103503","url":null,"abstract":"<div><div>In first-person shooters, players aim by aligning the crosshair onto a target and shoot at the optimal moment. Since winning a match is largely determined by such aim-and-shoot skills, players demand quantitative evaluation of the skill and analysis of hidden factors in performance. In response, we build a simulation model of the cognitive mechanisms underlying aim-and-shoot behavior based on the computational rationality framework. Unlike typical aimed movements in HCI, such as pointing, the aim-and-shoot offers a unique task scenario: as players move the mouse with their hand, the first-person view camera rotates, which in turn directly affects the target’s visible position on the screen. To realistically simulate such complex mechanisms, we model players’ perceptual, decision-making, and motor processes more sophisticatedly than any existing model. Model fitting based on amortized inference showed that our model could successfully reproduce the behavior of 20 FPS players (10 professionals) on several key measures, outperforming a baseline. Additionally, model fit parameters revealed that professionals had distinct cognitive or motivational characteristics.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"199 ","pages":"Article 103503"},"PeriodicalIF":5.3,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143807892","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":"Playful design for AI Literacy: Creating inclusive learning and assessment opportunities","authors":"Yoon Jeon Kim,&nbsp;Gyeongri Kim,&nbsp;Andy Stoiber","doi":"10.1016/j.ijhcs.2025.103508","DOIUrl":"10.1016/j.ijhcs.2025.103508","url":null,"abstract":"<div><div>Artificial Intelligence is reshaping human interactions with technology and society at large, yet public awareness of its prevalence remains limited, fostering misconceptions and raising concerns about its potential to perpetuate societal inequities. In this paper, we argue that AI literacy is a foundational skill akin to reading and numeracy, and advocate for its broad integration into educational curricula beyond traditional STEM domains. Despite various initiatives promoting AI literacy in K-12 education, existing efforts predominantly focus on computational skills, excluding many underrepresented students. The paper proposes inclusive learning opportunities that decouple AI literacy from computational thinking by centering on playful activities. By investigating the implementation of a playful AI curriculum, we provide qualitative evidence that demonstrates how playful design features can offer authentic and engaging learning opportunities, even for students who might face barriers.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"199 ","pages":"Article 103508"},"PeriodicalIF":5.3,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791009","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":"Examining the role of volumetric segmentation on movement training in mixed reality","authors":"Andrew Irlitti ,&nbsp;Thuong Hoang ,&nbsp;Frank Vetere","doi":"10.1016/j.ijhcs.2025.103499","DOIUrl":"10.1016/j.ijhcs.2025.103499","url":null,"abstract":"<div><div>Segmentation is a technique to partition datasets to aid in comprehension. For static visualizations of the human body, segmentation of data is typically focused on exposing internal layers, such as organs or muscle. However, for dynamic visualizations of body movements, segmentation can also involve the process of deconstructing complex temporal sequences of body movement into smaller arrangements. This process is particularly relevant to learning new movement. Such movement training exercises commonly involve a co-located instructor and learner in the same place, performing, imitating, and analyzing demonstrated body movements. Mixed Reality technologies have been proposed to aid in movement learning, affording participants real-time and visual feedback. However existing approaches commonly use abstract or avatar representations, and focus on the entire body movement, rather on a specific bodily movement relevant to a particular exercise.</div><div>In this paper, we propose a segmentation technique to semantically isolate volumetric recordings of body limb movements, thereby supporting the learning of new skills in movement training. The technique captures photo-realistic personal characteristics throughout a movement, applying spatial and semantic segmentation to individual body segments. Applying the segmentation technique to dynamic movements enables learners to focus on the trajectory of specific body parts during skills training. An ideation study was conducted to investigate the use of volumetric recordings and segmentation in the domain of movement training using a remote usability virtual reality method via video conference tool, called Surrogate-Aloud. Participants ideated scenarios using volumetric segmentation and considered segmentation to be a valuable tool to better understanding complex movements and to better identify individual body limb trajectories. The value of volumetric segmentation of the human body was recognized in a variety of additional usage domains, including physiotherapy, prostheses education, and group classes for movement training.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"200 ","pages":"Article 103499"},"PeriodicalIF":5.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834008","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":"Natural manipulation of virtual reality: The effects of kinesthetic gloves with force feedback on user performance and experience for accurate 3D object manipulation","authors":"Zhenxing Li,&nbsp;Oğuz 'Oz' Buruk,&nbsp;Mila Bujić,&nbsp;Bojan Kerouš,&nbsp;Juho Hamari","doi":"10.1016/j.ijhcs.2025.103507","DOIUrl":"10.1016/j.ijhcs.2025.103507","url":null,"abstract":"<div><div>One of the challenges facing virtual reality (VR) is the pursuit of efficient and natural object manipulation, required by many applications, such as computer-aided medical diagnosis, surgery planning and industrial prototyping. Current hand-based three-dimensional (3D) manipulation allows users to interact with virtual objects intuitively, enabled primarily by using motion controllers with single-point interaction. There are promising avenues to increase naturalness of interaction through kinesthetic gloves that provide finger-based multipoint interaction with force feedback. These novel gloves could have more potential for 3D object manipulation in VR, however, their practical usability in this field remains largely unexplored. This study compared the glove-based VR interfaces (with/without force feedback) with the traditional controller-based VR interface in accurate movement and rotation tasks. The results demonstrated the strengths of finger-based multipoint interaction provided by kinesthetic gloves in accurate 3D manipulation, in terms of task completion time, accuracy, perceived workload and user preference. Additionally, the experiment identified that force feedback from kinesthetic gloves surprisingly did not benefit user task performance and even negatively affected rotation accuracy. However, it was perceived as valuable for object rotation that required complicated finger movement and coordination.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"199 ","pages":"Article 103507"},"PeriodicalIF":5.3,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143768175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}