International Journal of Human-Computer Studies最新文献_第2页

The experience of running: Recommending routes using sensory mapping in urban environments 跑步的体验：在城市环境中使用感官地图推荐路线

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-05-05 DOI: 10.1016/j.ijhcs.2025.103512

Katrin Hänsel , Luca Maria Aiello , Daniele Quercia , Rossano Schifanella , Krisztian Zsolt Varga , Linus W. Dietz , Marios Constantinides

{"title":"The experience of running: Recommending routes using sensory mapping in urban environments","authors":"Katrin Hänsel , Luca Maria Aiello , Daniele Quercia , Rossano Schifanella , Krisztian Zsolt Varga , Linus W. Dietz , Marios Constantinides","doi":"10.1016/j.ijhcs.2025.103512","DOIUrl":"10.1016/j.ijhcs.2025.103512","url":null,"abstract":"<div><div>Depending on the route, runners may experience frustration, freedom, or fulfilment. However, finding routes that are conducive to the psychological experience of running remains an unresolved task in the literature. In a mixed-method study, we interviewed 7 runners to identify themes contributing to running experience, and quantitatively examined these themes in an online survey with 387 runners. Using Principal Component Analysis on the survey responses, we developed a short experience sampling questionnaire that captures the three most important dimensions of running experience: <em>performance & achievement</em>, <em>environment</em>, and <em>mind & social connectedness</em>. Using path preferences obtained from the online survey, we clustered them into two types of routes: <em>scenic</em> (associated with nature and greenery) and <em>urban</em> (characterized by the presence of people); and developed a routing engine for path recommendations. We discuss challenges faced in developing the routing engine, and provide guidelines to integrate it into mobile and wearable running apps.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"201 ","pages":"Article 103512"},"PeriodicalIF":5.3,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923667","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}

引用次数: 0

Should we use the NASA-TLX in HCI? A review of theoretical and methodological issues around Mental Workload Measurement 我们应该在HCI中使用NASA-TLX吗？心理负荷测量的理论与方法综述

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-05-05 DOI: 10.1016/j.ijhcs.2025.103515

Ebrahim Babaei , Tilman Dingler , Benjamin Tag , Eduardo Velloso

引用次数: 0

LLM-based conversational agents for behaviour change support: A randomised controlled trial examining efficacy, safety, and the role of user behaviour 基于llm的会话代理支持行为改变：一项随机对照试验，检查有效性、安全性和用户行为的作用

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-05-01 DOI: 10.1016/j.ijhcs.2025.103514

Selina Meyer, David Elsweiler

引用次数: 0

AI-generated tactile graphics for visually impaired children: A usability study of a multimodal educational product 人工智能生成的视障儿童触觉图形：多模态教育产品的可用性研究

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-21 DOI: 10.1016/j.ijhcs.2025.103525

Hantian Wu, Hongyi Yang, Fangyuan Chang, Dian Zhu, Zhao Liu

{"title":"AI-generated tactile graphics for visually impaired children: A usability study of a multimodal educational product","authors":"Hantian Wu, Hongyi Yang, Fangyuan Chang, Dian Zhu, 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}

引用次数: 0

Sensors and Sensibilities: Exploring Interactions for Habitat Comfort with An Environmental-Physiological Sensing Eyewear In the Wild 传感器和敏感性：探索野生环境生理传感眼镜与栖息地舒适度的相互作用

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-17 DOI: 10.1016/j.ijhcs.2025.103510

Sailin Zhong , Patrick Chwalek , Nathan Perry , David Ramsay , Clayton Miller , Denis Lalanne , Hamed S. Alavi , Joseph A. Paradiso

{"title":"Sensors and Sensibilities: Exploring Interactions for Habitat Comfort with An Environmental-Physiological Sensing Eyewear In the Wild","authors":"Sailin Zhong , Patrick Chwalek , Nathan Perry , David Ramsay , Clayton Miller , Denis Lalanne , Hamed S. Alavi , 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}

引用次数: 0

Understanding workers’ psychological states and physiological responses during human–robot collaboration 了解工人在人机协作中的心理状态和生理反应

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-12 DOI: 10.1016/j.ijhcs.2025.103516

Egle Maria Orlando , Federica Nenna , Davide Zanardi , Giulia Buodo , Michele Mingardi , Michela Sarlo , Luciano Gamberini

{"title":"Understanding workers’ psychological states and physiological responses during human–robot collaboration","authors":"Egle Maria Orlando , Federica Nenna , Davide Zanardi , Giulia Buodo , Michele Mingardi , Michela Sarlo , 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}

引用次数: 0

Multi-semantic and multi-behavior recommendation with graph attention networks 基于图注意网络的多语义多行为推荐

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-08 DOI: 10.1016/j.ijhcs.2025.103513

Ping Lou , Runnan Zhou , Xuemei Jiang , Jianmin Hu

{"title":"Multi-semantic and multi-behavior recommendation with graph attention networks","authors":"Ping Lou , Runnan Zhou , Xuemei Jiang , 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}

引用次数: 0

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 增强基于大语言模型的智能推荐系统动态对话中的用户信息披露意向：用户满意度和隐私计算的视角

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-05 DOI: 10.1016/j.ijhcs.2025.103511

Chunze Xu, Fengqiang Gao, Lei Han

{"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, Fengqiang Gao, 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 & 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}

引用次数: 0

Modeling visually-guided aim-and-shoot behavior in first-person shooters 模拟第一人称射击游戏中视觉引导的瞄准射击行为

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-04 DOI: 10.1016/j.ijhcs.2025.103503

June-Seop Yoon , Hee-Seung Moon , Ben Boudaoud , Josef Spjut , Iuri Frosio , Byungjoo Lee , Joohwan Kim

{"title":"Modeling visually-guided aim-and-shoot behavior in first-person shooters","authors":"June-Seop Yoon , Hee-Seung Moon , Ben Boudaoud , Josef Spjut , Iuri Frosio , Byungjoo Lee , 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}

引用次数: 0

Playful design for AI Literacy: Creating inclusive learning and assessment opportunities 人工智能素养的有趣设计：创造包容性学习和评估机会

IF 5.3 2区计算机科学

International Journal of Human-Computer Studies Pub Date : 2025-04-04 DOI: 10.1016/j.ijhcs.2025.103508

Yoon Jeon Kim, Gyeongri Kim, Andy Stoiber

引用次数: 0