arXiv - CS - Human-Computer Interaction最新文献_第2页

React to This! How Humans Challenge Interactive Agents using Nonverbal Behaviors 对此做出反应！人类如何利用非语言行为挑战交互式代理

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.11602

Chuxuan Zhang, Bermet Burkanova, Lawrence H. Kim, Lauren Yip, Ugo Cupcic, Stéphane Lallée, Angelica Lim

引用次数: 0

An Exploration of Effects of Dark Mode on University Students: A Human Computer Interface Analysis 探索黑暗模式对大学生的影响：人机界面分析

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.10895

Awan Shrestha, Sabil Shrestha, Biplov Paneru, Bishwash Paneru, Sansrit Paudel, Ashish Adhikari, Sanjog Chhetri Sapkota

{"title":"An Exploration of Effects of Dark Mode on University Students: A Human Computer Interface Analysis","authors":"Awan Shrestha, Sabil Shrestha, Biplov Paneru, Bishwash Paneru, Sansrit Paudel, Ashish Adhikari, Sanjog Chhetri Sapkota","doi":"arxiv-2409.10895","DOIUrl":"https://doi.org/arxiv-2409.10895","url":null,"abstract":"This research dives into exploring the dark mode effects on students of a\u0000university. Research is carried out implementing the dark mode in e-Learning\u0000sites and its impact on behavior of the users. Students are spending more time\u0000in front of the screen for their studies especially after the pandemic. The\u0000blue light from the screen during late hours affects circadian rhythm of the\u0000body which negatively impacts the health of humans including eye strain and\u0000headache. The difficulty that students faced during the time of interacting\u0000with various e-Learning sites especially during late hours was analyzed using\u0000different techniques of HCI like survey, interview, evaluation methods and\u0000principles of design. Dark mode is an option which creates a pseudo inverted\u0000adaptable interface by changing brighter elements of UI into a dim-lit friendly\u0000environment. It is said that using dark mode will lessen the amount of blue\u0000light emitted and benefit students who suffer from eye strain. Students'\u0000interactions with dark mode were investigated using a survey, and an e-learning\u0000site with a dark mode theme was created. Based on the students' comments,\u0000researchers looked into the effects of dark mode on HCI in e-learning sites.\u0000The findings indicate that students have a clear preference for dark mode:\u000079.7% of survey participants preferred dark mode on their phones, and 61.7%\u0000said they would be interested in seeing this feature added to e-learning\u0000websites.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"208 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252426","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Leveraging AI-Generated Emotional Self-Voice to Nudge People towards their Ideal Selves 利用人工智能生成的情感自我声音，引导人们实现理想自我

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.11531

Cathy Mengying Fang, Phoebe Chua, Samantha Chan, Joanne Leong, Andria Bao, Pattie Maes

引用次数: 0

Improving Interface Design in Interactive Task Learning for Hierarchical Tasks based on a Qualitative Study 基于定性研究改进分层任务互动学习的界面设计

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.10826

Jieyu Zhou, Christopher MacLellan

引用次数: 0

Virtual Reality for Immersive Education in Orthopedic Surgery Digital Twins 虚拟现实技术在骨科手术中的沉浸式教育数字双胞胎

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.11014

Jonas Hein, Jan Grunder, Lilian Calvet, Frédéric Giraud, Nicola Alessandro Cavalcanti, Fabio Carrillo, Philipp Fürnstahl

引用次数: 0

ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers ASHABot：由法学硕士驱动的聊天机器人，可满足社区卫生工作者的信息需求

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.10913

Pragnya Ramjee, Mehak Chhokar, Bhuvan Sachdeva, Mahendra Meena, Hamid Abdullah, Aditya Vashistha, Ruchit Nagar, Mohit Jain

{"title":"ASHABot: An LLM-Powered Chatbot to Support the Informational Needs of Community Health Workers","authors":"Pragnya Ramjee, Mehak Chhokar, Bhuvan Sachdeva, Mahendra Meena, Hamid Abdullah, Aditya Vashistha, Ruchit Nagar, Mohit Jain","doi":"arxiv-2409.10913","DOIUrl":"https://doi.org/arxiv-2409.10913","url":null,"abstract":"Community health workers (CHWs) provide last-mile healthcare services but\u0000face challenges due to limited medical knowledge and training. This paper\u0000describes the design, deployment, and evaluation of ASHABot, an LLM-powered,\u0000experts-in-the-loop, WhatsApp-based chatbot to address the information needs of\u0000CHWs in India. Through interviews with CHWs and their supervisors and log\u0000analysis, we examine factors affecting their engagement with ASHABot, and\u0000ASHABot's role in addressing CHWs' informational needs. We found that ASHABot\u0000provided a private channel for CHWs to ask rudimentary and sensitive questions\u0000they hesitated to ask supervisors. CHWs trusted the information they received\u0000on ASHABot and treated it as an authoritative resource. CHWs' supervisors\u0000expanded their knowledge by contributing answers to questions ASHABot failed to\u0000answer, but were concerned about demands on their workload and increased\u0000accountability. We emphasize positioning LLMs as supplemental fallible\u0000resources within the community healthcare ecosystem, instead of as replacements\u0000for supervisor support.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards Ethical Personal AI Applications: Practical Considerations for AI Assistants with Long-Term Memory 实现合乎道德的个人人工智能应用：具有长期记忆的人工智能助手的实际考虑因素

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.11192

Eunhae Lee

引用次数: 0

Ping! Your Food is Ready: Comparing Different Notification Techniques in 3D AR Cooking Environment 平！您的食物准备好了比较 3D AR 烹饪环境中的不同通知技术

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.11357

Aditya Raikwar, Lucas Plabst, Anil Ufuk Batmaz, Florian Niebling, Francisco R. Ortega

引用次数: 0

Gestalt driven augmented collimator widget for precise 5 dof dental drill tool positioning in 3d space 格式塔驱动的增强型准直器小部件，用于在三维空间中精确定位 5 dof 牙科钻具

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.10960

Mine Dastan, Antonio E. Uva, Michele Fiorentino

{"title":"Gestalt driven augmented collimator widget for precise 5 dof dental drill tool positioning in 3d space","authors":"Mine Dastan, Antonio E. Uva, Michele Fiorentino","doi":"arxiv-2409.10960","DOIUrl":"https://doi.org/arxiv-2409.10960","url":null,"abstract":"Drill tool positioning in dental implantology is a challenging task requiring\u00005DOF precision as the rotation around the tool axis is not influential. This\u0000work improves the quasi-static visual elements of the state-of-the-art with a\u0000novel Augmented Collimation Widget (ACW), an interactive tool of position and\u0000angle error visualization based on the gestalt reification, the human ability\u0000to group geometric elements. The user can seek in a quick, pre-attentive way\u0000the collimation of five (three positional and two rotational) error component\u0000widgets (ECWs), taking advantage of three key aspects: component separation and\u0000reification, error visual amplification, and dynamic hiding of the collimated\u0000components. We compared the ACW with the golden standard in a within-subjects\u0000(N=30) user test using 32 implant targets, measuring the time, error, and\u0000usability. ACW performed significantly better in positional (+19%) and angular\u0000(+47%) precision accuracy and with less mental demand (-6%) and frustration\u0000(-13%), but with an expected increase in task time (+59%) and physical demand\u0000(+64%). The interview indicated the ACW as the main preference and\u0000aesthetically more pleasant than GSW, candidating it as the new golden standard\u0000for implantology, but also for other applications where 5DOF positioning is\u0000key.","PeriodicalId":501541,"journal":{"name":"arXiv - CS - Human-Computer Interaction","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142252425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances 人工智能建议使写作趋同于西方风格，削弱了文化的细微差别

arXiv - CS - Human-Computer Interaction Pub Date : 2024-09-17 DOI: arxiv-2409.11360

Dhruv Agarwal, Mor Naaman, Aditya Vashistha

引用次数: 0