International Journal of Human-Computer Studies最新文献

{"title":"Co-design of analogical and embodied representations with children for child-centered AI learning experiences","authors":"Xiaofei Zhou,&nbsp;Yunfan Gong,&nbsp;Yushan Zhou,&nbsp;Yufei Jiang,&nbsp;Zhen Bai","doi":"10.1016/j.ijhcs.2025.103462","DOIUrl":"10.1016/j.ijhcs.2025.103462","url":null,"abstract":"<div><div>AI recommendations shape our daily decisions and our young generation is no exception. The convenience of navigating personalized content comes with the notorious “filter bubble” effect, which can reduce exposure to diverse options and opinions. Children are particularly vulnerable to this due to their limited AI literacy and critical thinking skills. In this study, we explore how to engage children as co-designers to create child-centered experiences for learning AI concepts related to the filter bubble. Leveraging embodied and analogical learning theories, we co-designed an Augmented Reality (AR) application, BeeTrap, with children from underrepresented backgrounds in STEM. BeeTrap not only raises awareness of filter bubbles but also empowers children to understand recommendation system mechanisms. Our contributions include (1) insights into child-centered AI learning using embodied metaphors and analogies as educational representations of AI concepts; and (2) implications for enhancing children’s understanding of AI concepts through co-design processes.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"199 ","pages":"Article 103462"},"PeriodicalIF":5.3,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551506","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":"Creating trust in fully autonomous vehicles through spatialized predictive sonification","authors":"Nathalie Lungershausen,&nbsp;Steffen Lepa,&nbsp;Johannes Helberger,&nbsp;Henning Schaar,&nbsp;Tom Virkus,&nbsp;Yijun Zhao","doi":"10.1016/j.ijhcs.2025.103481","DOIUrl":"10.1016/j.ijhcs.2025.103481","url":null,"abstract":"<div><div>The increasing automation of vehicles poses challenges in terms of public acceptance. In particular, trust in fully autonomous cars and their perceived benefits will play an important role in market acceptance. The present study investigates to what extent auditory feedback based on spatialized and predictive sonification can increase trust in autonomous vehicles while communicating their benefits. For this purpose, a sonification concept (Autonomous Vehicle Assurance, AVA) was developed, that anticipates upcoming driving maneuvers using predictive and spatialized sonification. An immersive prototype allowed users to experience AVA through a 22-channel Ambisonics loudspeaker system while participating in a virtual autonomous car ride. An experiment with 42 participants was conducted to measure the impact of AVA compared to conventional electric motor sounds. The comprehensibility of the auditory stimuli, the participants' trust in the reliability and safety of the vehicle in critical situations, as well as the context-independent trust in the vehicle were examined. In addition, the study investigated whether AVA helps occupants to better focus on secondary, non-driving activities and whether the perceived value of an autonomous car can ultimately be increased by additional auditory feedback. Using AVA as an example, the results show that spatialized predictive sonification of upcoming driving maneuvers can provide intuitively understandable feedback to occupants. Empirically, this led to improved performance on secondary activities, as participants were less likely to look away from the task at hand to ensure that the car was behaving correctly. The additional sonic feedback also led to greater overall trust in the car. However, the present results could not confirm the hypothesized positive influence of AVA on trust in specific safety-relevant situations and also did not lead to a higher perceived value of autonomous vehicles. In conclusion, the results of the present study indicate that spatialized, predictive sonification of upcoming driving maneuvers is an understandable and effective interaction design solution that should be considered when designing future human-machine interfaces for autonomous vehicles.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"199 ","pages":"Article 103481"},"PeriodicalIF":5.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143551505","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}

{"title":"Exploring parent involvement in e-book joint reading with voice agents","authors":"Daniel Vargas-Diaz ,&nbsp;Jisun Kim ,&nbsp;Sulakna Karunaratna ,&nbsp;Caroline Byrd Hornburg ,&nbsp;Koeun Choi ,&nbsp;Sang Won Lee","doi":"10.1016/j.ijhcs.2025.103461","DOIUrl":"10.1016/j.ijhcs.2025.103461","url":null,"abstract":"<div><div>Parent–child interactions during joint reading play an important role in young children’s cognitive and language development. However, contemporary digital book formats — such as e-books or audiobooks — often overlook the role of the parent in reading the text by either dubbing voice narration over it or reading it aloud automatically. With the advancement and prevalence of voice-based conversational artificial intelligence (AI) agents, AI reading an e-book emerges as a novel reading experience, yet reducing the role of parents during read-alouds similarly. When the reading experience becomes less of a joint activity between children and parents, the potential benefits children can gain from reading may diminish. In this user study involving 11 parent–child pairs, we aimed to explore how voice agents (VAs) could be used to create an interactive digital space to (1) promote parental engagement in joint e-book reading with children and (2) enhance parents’ and children’s joint reading experiences. We developed and evaluated <em>TaleMate</em>, an interactive joint reading app that allows parents and children ages 3–6 years to assign different AI voices to the characters from a book while enabling parents to embody one of the characters to read the book with the voice agents. We found that the system supported children’s engagement and story recall. Parents reported that they found value in the interactivity of the system and enjoyed a participatory, joint reading experience where both they and their children could choose which characters to embody. These findings offer insights into design considerations for researchers interested in developing applications that facilitate collaborative reading experiences involving parents, children, and voice agents.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103461"},"PeriodicalIF":5.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143548743","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 museum accessibility for blind and low vision visitors through interactive multimodal tangible interfaces","authors":"Yael Avni ,&nbsp;Alexandra Danial-Saad ,&nbsp;Julia Sheidin ,&nbsp;Tsvi Kuflik","doi":"10.1016/j.ijhcs.2025.103469","DOIUrl":"10.1016/j.ijhcs.2025.103469","url":null,"abstract":"<div><div>This research explores how Interactive Multimodal Tangible Interface (IMTIs) exploiting advanced technologies such as 3D printing and microcontrollers to enhance museum experiences for blind and low vision (BLV) visitors. It investigates the potential for these technologies to create more inclusive and engaging museum environments. Four IMTIs were developed in collaboration with two blind volunteers, with each IMTI using a different interaction technique (autoplay, pushbuttons, and scanning sensors) developed in the pilot phase and having a different shape to align with the museum installation being presented. After refining the concepts, three of the four IMTIs were redesigned and developed into high-quality IMTIs and evaluated by BLV visitors (n=30). The results showed a clear preference among BLV visitors for using pushbuttons to operate the IMTI. Additionally, the research identified key areas for improvement, including 3D printing techniques for producing replicas, audio guide content, and design decisions that can enhance users’ sense of control over the IMTI. These findings offer valuable insights for the future development of tactile replicas that promote contextual understanding, while contributing to a more inclusive and engaging museum experience.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103469"},"PeriodicalIF":5.3,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464814","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}

{"title":"A critical reflection on the use of toxicity detection algorithms in proactive content moderation systems","authors":"Mark Warner ,&nbsp;Angelika Strohmayer ,&nbsp;Matthew Higgs ,&nbsp;Lynne Coventry","doi":"10.1016/j.ijhcs.2025.103468","DOIUrl":"10.1016/j.ijhcs.2025.103468","url":null,"abstract":"<div><div>Toxicity detection algorithms, originally designed for reactive content moderation systems, are being deployed into proactive end-user interventions to moderate content. Yet, there has been little critique on the use of these algorithms within this moderation paradigm. We conducted design workshops with four stakeholder groups, asking participants to embed a toxicity detection algorithm into an imagined mobile phone keyboard. This allowed us to critically explore how such algorithms could be used to proactively reduce the sending of toxic content. We found contextual factors such as platform culture and affordances, and scales of abuse, impacting on perceptions of toxicity and effectiveness of the system. We identify different types of end-users across a continuum of intention to send toxic messages, from unaware users, to those that are determined and organised. Finally, we highlight the potential for certain end-user groups to misuse these systems to validate their attacks, to gamify hate, and to manipulate algorithmic models to exacerbate harm.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103468"},"PeriodicalIF":5.3,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508379","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}

{"title":"Optimising web accessibility evaluation: Population sourcing methods for web accessibility evaluation","authors":"Alexander Hambley ,&nbsp;Yeliz Yesilada ,&nbsp;Markel Vigo ,&nbsp;Simon Harper","doi":"10.1016/j.ijhcs.2025.103472","DOIUrl":"10.1016/j.ijhcs.2025.103472","url":null,"abstract":"<div><div>Traditional methods for selecting web pages for evaluation lack a systematic approach. Web accessibility is crucial to improve equal access and usability for individuals with disabilities. However, current approaches to accessibility evaluation are often time-consuming and resource-intensive. By optimising the accessibility evaluation process, we can more effectively identify and address accessibility issues on the web. This paper addresses the challenge of efficiently evaluating web accessibility across heterogeneous web pages. Drawing inspiration from census studies, we developed a framework to measure population-sourcing methods that leverage modern templated web development processes. This approach allows us to cluster heterogeneous web pages and select representative samples that reflect the entire cluster, streamlining the evaluation process. In this paper, we demonstrate that our clustering method effectively groups web pages with similar accessibility characteristics. Using statistical tooling and incorporating additional features from server log files, we aim to improve the accuracy and efficiency of accessibility audits. Our findings have several implications for web accessibility evaluation: our approach offers a more systematic and objective way of selecting pages for evaluation, reducing the reliance on ad-hoc heuristics. Secondly, by optimising the evaluation process, we envision that organisations can allocate their resources more efficiently, ensuring a broader coverage of web pages while maintaining high accessibility standards. Finally, incorporating server log files as a data source highlights the potential of leveraging existing web analytics data for accessibility assessment, providing additional insights and opportunities for improvement.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103472"},"PeriodicalIF":5.3,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480280","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":"Augmenting outdated museum exhibits with embodied and tangible interactions for prolonged use and learning enhancement","authors":"Dajin Lee,&nbsp;Daehyeon Nam,&nbsp;Seungmoon Choi","doi":"10.1016/j.ijhcs.2025.103470","DOIUrl":"10.1016/j.ijhcs.2025.103470","url":null,"abstract":"<div><div>Exhibits in science museums must be capable of attracting and holding visitors’ attention, but some exhibits are always neglected by visitors. In this study, we propose a <em>virtual companion</em>, an independent yet collaborative system that augments the original exhibit in both pre-use and in-use stages, based on embodied interaction. The virtual companion attracts visitors and builds prior experience for them to interact with the original exhibit more effectively in the pre-use stage. For that, we conducted a design study with one of the unpopular physical exhibits in a local science museum. We established main design goals based on a focus group interview with educational experts at the museum and visitors’ opinions. Then, digital augmentation strategies were designed and evaluated at the museum in an iterative manner. Field studies showed that the capture rate of the augmented exhibit increased by 9.54 times while significantly improving holding time, learning experiences, engaging behaviors, and positive emotions. Moreover, the results demonstrated the significant impact of prior knowledge and positive emotions, formed in the pre-use stage, on the prolonged use and enhanced engagement with the original exhibit. We expect that our experiences shared in this paper would help enhance the educational values and visitor experiences of many outdated physical exhibits in informal learning environments.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103470"},"PeriodicalIF":5.3,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464240","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":"AF-Mix: A gaze-aware learning system with attention feedback in mixed reality","authors":"Shi Liu,&nbsp;Peyman Toreini,&nbsp;Alexander Maedche","doi":"10.1016/j.ijhcs.2025.103467","DOIUrl":"10.1016/j.ijhcs.2025.103467","url":null,"abstract":"<div><div>Mixed Reality (MR) has demonstrated its potential in various learning contexts. MR-based learning environments empower users to actively explore learning content visualized in multiple formats, such as 3D models, videos, and images. Nonetheless, the sophisticated visualizations in MR learning environments may result in potential visual overload, posing a challenge for users in efficiently allocating their attention. In this paper, we present AF-Mix, a learning support system that leverages eye tracking sensors in Microsoft HoloLens 2 to offer attention feedback for learners. Aiming to design AF-Mix, we conducted a participatory design study and integrated the attention feedback into our system, following users’ needs and suggestions. Furthermore, we evaluated AF-Mix in an evaluation study (n <span><math><mo>=</mo></math></span> 22) following a quantitative analysis of users’ visual behavior, as well as a qualitative analysis of interview transcripts. Our findings show that providing feedback to support the learning process can be achieved effectively with eye tracking. In specific, attention feedback assists learners in retrieving previously missed information and encourages learners to reallocate their attention in the review process. Moreover, providing personalized feedback based on previous attention allocation is more effective in supporting users than a self-review approach without gaze-aware assistance in MR. Such feedback facilitates users in managing their limited attentional resources better and supports the reflection of their learning journey more effectively.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103467"},"PeriodicalIF":5.3,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143464241","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}

{"title":"Machine learning systems as mentors in human learning: A user study on machine bias transmission in medical training","authors":"Lucia Vicente ,&nbsp;Helena Matute ,&nbsp;Caterina Fregosi ,&nbsp;Federico Cabitza","doi":"10.1016/j.ijhcs.2025.103474","DOIUrl":"10.1016/j.ijhcs.2025.103474","url":null,"abstract":"<div><div>While accurate AI systems can enhance human performance, exerting both an augmentation and good mentoring effect, imperfect systems may act as poor mentors, transmitting biases and systematic errors to users. However, there is still limited research on the potential for AI to transmit biases to humans, an effect that could be even more pronounced for less experienced users, such as novices or trainees, making decisions supported by AI-based systems. To investigate the bias transmission effect and the potential of AI to serve as a mentor, we involved eighty-six medical students, dividing them into an AI-assisted group and a control group. We tasked them with classifying simulated tissue samples for a fictitious disease. In the first phase of the task, the AI group received diagnostic advice from a simulated AI system that made systematic errors for a specific type of case, while being accurate for all other types. The control group did not receive any assistance. In the second phase, participants in both groups classified new tissue samples, including ambiguous cases, without any support to test the residual impact of AI bias. The results showed that the AI-assisted group exhibited a higher error rate when classifying cases where the AI provided systematically erroneous advice, both in the AI-assisted and the subsequent unassisted phase, suggesting the persistence of AI-induced bias. Our study emphasizes the need for careful implementation and continuous evaluation of AI systems in education and training to mitigate potential negative impacts on trainee learning outcomes.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103474"},"PeriodicalIF":5.3,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480278","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}

{"title":"3D Ternary-Gaussian model: Modeling pointing uncertainty of 3D moving target selection in virtual reality","authors":"Yawen Zheng ,&nbsp;Jin Huang ,&nbsp;Hao Zhang ,&nbsp;Yulong Bian ,&nbsp;Juan Liu ,&nbsp;Chenglei Yang ,&nbsp;Feng Tian ,&nbsp;Xiangxu Meng","doi":"10.1016/j.ijhcs.2025.103454","DOIUrl":"10.1016/j.ijhcs.2025.103454","url":null,"abstract":"<div><div>This paper presents a 3D Ternary-Gaussian model that describes the uncertainty of pointing at 3D moving targets in virtual reality. In contrast to 2D user interfaces, users’ perception and acquisition abilities for 3D moving targets may undergo dynamic changes due to the influence of target depth, rendering the modeling of 3D moving target selection more challenging and intricate. We address this issue by categorizing the effects of depth on moving target selection as arm movement stability and visual perception, and then integrating these effects into a previously proposed Ternary-Gaussian model framework. A user study involving 15 participants was conducted to validate the model’s performance across three types of target motions (i.e., motion-on-sphere, motion-in-depth, and combined motion). We conclude the paper with a set of implications for future design related to the selection of moving targets in 3D space.</div></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"198 ","pages":"Article 103454"},"PeriodicalIF":5.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143437227","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}