International Journal of Human-Computer Studies最新文献

{"title":"Unpacking Instagram use: The impact of upward social comparisons on usage patterns and affective experiences in the wild","authors":"Jiwan Kim ,&nbsp;Doyoung Lee ,&nbsp;Mingyu Han ,&nbsp;Jaeho Kim ,&nbsp;Vassilis Kostakos ,&nbsp;Ian Oakley","doi":"10.1016/j.ijhcs.2024.103323","DOIUrl":"https://doi.org/10.1016/j.ijhcs.2024.103323","url":null,"abstract":"<div><p>Users of Social Networking Sites (SNS) often engage in social comparison, an experience that can elicit various affective responses. While previous studies have established important links between social comparison and emotion, the granularity and ecological validity of this work remains limited. To address this issue, we conducted a field study with 40 Instagram users. We unobtrusively recorded their Instagram usage patterns (e.g., time on site and the type of content consumed, such as feed, story, or message). Additionally, we used experience sampling methods and questionnaires to capture their affective experiences, social comparisons, and depression severity. Our results elucidate the interplay between these emotions, traits, and tendencies during Instagram use. Notably, we find that while passive or prolonged Instagram use affects users’ emotions, the magnitude of this effect depends on the frequency of users’ social comparisons. These results can inform the design of systems to improve mental well-being on SNS.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480309","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":"Majority voting of doctors improves appropriateness of AI reliance in pathology","authors":"Hongyan Gu ,&nbsp;Chunxu Yang ,&nbsp;Shino Magaki ,&nbsp;Neda Zarrin-Khameh ,&nbsp;Nelli S. Lakis ,&nbsp;Inma Cobos ,&nbsp;Negar Khanlou ,&nbsp;Xinhai R. Zhang ,&nbsp;Jasmeet Assi ,&nbsp;Joshua T. Byers ,&nbsp;Ameer Hamza ,&nbsp;Karam Han ,&nbsp;Anders Meyer ,&nbsp;Hilda Mirbaha ,&nbsp;Carrie A. Mohila ,&nbsp;Todd M. Stevens ,&nbsp;Sara L. Stone ,&nbsp;Wenzhong Yan ,&nbsp;Mohammad Haeri ,&nbsp;Xiang ‘Anthony’ Chen","doi":"10.1016/j.ijhcs.2024.103315","DOIUrl":"https://doi.org/10.1016/j.ijhcs.2024.103315","url":null,"abstract":"<div><p>As Artificial Intelligence (AI) making advancements in medical decision-making, there is a growing need to ensure doctors develop appropriate reliance on AI to avoid adverse outcomes. However, existing methods in enabling appropriate AI reliance might encounter challenges while being applied in the medical domain. With this regard, this work employs and provides the validation of an alternative approach – majority voting – to facilitate appropriate reliance on AI in medical decision-making. This is achieved by a multi-institutional user study involving 32 medical professionals with various backgrounds, focusing on the pathology task of visually detecting a pattern, mitoses, in tumor images. Here, the majority voting process was conducted by synthesizing decisions under AI assistance from a group of pathology doctors (pathologists). Two metrics were used to evaluate the appropriateness of AI reliance: Relative AI Reliance (RAIR) and Relative Self-Reliance (RSR). Results showed that even with groups of three pathologists, majority-voted decisions significantly increased both RAIR and RSR – by approximately 9% and 31%, respectively – compared to decisions made by one pathologist collaborating with AI. This increased appropriateness resulted in better precision and recall in the detection of mitoses. While our study is centered on pathology, we believe these insights can be extended to general high-stakes decision-making processes involving similar visual tasks.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924000995/pdfft?md5=2e208cd70eb493c95c70b707fd06f211&pid=1-s2.0-S1071581924000995-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141542970","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":"Adaptive virtual agent: Design and evaluation for real-time human-agent interaction","authors":"Jieyeon Woo ,&nbsp;Kazuhiro Shidara ,&nbsp;Catherine Achard ,&nbsp;Hiroki Tanaka ,&nbsp;Satoshi Nakamura ,&nbsp;Catherine Pelachaud","doi":"10.1016/j.ijhcs.2024.103321","DOIUrl":"https://doi.org/10.1016/j.ijhcs.2024.103321","url":null,"abstract":"<div><p>When we converse, we adapt our behaviors to our interlocutors. The adaptation can serve to indicate our engagement which can also elicit enhancement of the involvement of others. Virtual agents (or socially interactive virtual agents) that play the role of interaction partners can improve the human users’ interaction experience by displaying continuous and adaptive behaviors in real time. Virtual agents have been used in multiple domains to improve user interaction and performance. The promising results of the endowment of adaptation to agents in increasing the agents’ perception and user experience were shown in previous studies. In this paper, we develop an adaptive virtual agent that renders real-time adaptive behaviors based on the behaviors shown by its human interlocutor. The ASAP model rendering reciprocally adaptive agent behavior was employed to realize the system. The system consists of four main parts: perception of social signals, agent adaptive behavior generation, agent visualization (i.e. rendering of the agent’s verbal and nonverbal behavior), and communication of signals. To showcase the usefulness of our adaptive agent, as a proof-of-concept we choose the e-health application of cognitive behavior therapy (CBT), which identifies and rectifies biased and irrational thoughts (or automatic thoughts). Through this study, we show the importance of giving the agent reciprocal adaptation capability notably in enhancing the user experience and the effectiveness of the CBT session. We validate the importance of endowing such adaptation capability by studying the difference between agents that are reciprocally adaptive, solely expressive (with mismatched behavior), and inexpressive (in a still posture) via questionnaires and measures related to the agent perception (naturalness, human-likeliness, synchrony, and engagement) for user experience and the CBT effectiveness (mood, anxiety, stress, and cognitive change). These results highlight the value of making virtual agents adapt in real time. This could lead to agents being capable of providing more personalized and interactive experiences for a wide range of applications. Also, we have collected a new human-agent interaction (HAI) database, HAI-CBT database, which is publicly available to the research community.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924001058/pdfft?md5=3574c60e6429acf2bec202ebd1f0a446&pid=1-s2.0-S1071581924001058-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480310","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":"VResin: Externalizing spatial memory into 3D sketch maps","authors":"Tianyi Xiao ,&nbsp;Kevin Gonyop Kim ,&nbsp;Jakub Krukar ,&nbsp;Rajasirpi Subramaniyan ,&nbsp;Peter Kiefer ,&nbsp;Angela Schwering ,&nbsp;Martin Raubal","doi":"10.1016/j.ijhcs.2024.103322","DOIUrl":"https://doi.org/10.1016/j.ijhcs.2024.103322","url":null,"abstract":"<div><p>An intuitive way to externalize spatial memory is to sketch it. Compared to traditional paper-based sketches, virtual reality (VR) creates new opportunities to investigate the 3D aspect of spatial memory as it empowers users to express 3D information on a 3D interface directly. The goal of this study is to design a 3D sketch mapping tool for researchers and non-expert users without sketching expertise that enables externalizing memories of spatial information after some 3D-critical tasks. There exist 3D sketching tools using VR, but there are two issues with the current mid-air 3D sketching approach: (1) distortion of sketches due to depth perception errors and (2) increased cognitive and sensorimotor demands due to an increased degree of freedom and absence of physical support. To address these problems, we implemented VResin, a novel sketching interface that synergizes 3D mid-air sketching with 2D surface sketching to scaffold 3D sketching into a layer-by-layer process. An experimental study with 48 participants on multi-layer building scenarios showed that VResin supports users in creating less distorted sketches while maintaining the level of completeness and generalization compared to mid-air sketching in VR. We also demonstrate the potential applications that can benefit from 3D sketch maps and the suitability of VResin for a variety of building shapes.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S107158192400106X/pdfft?md5=c7b98f3783f62575f93cd1ebb3ae5516&pid=1-s2.0-S107158192400106X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141480308","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":"Corrigendum to ‘“Should I Introduce myself?”: Asynchronous Semi-Guided Professional Introductions for Enhanced Perceived Team Effectiveness in New Virtual Dyadic Teams’ [International Journal of Human - Computer Studies, Vol. 188 (2024) 103279]","authors":"George Catalin Muresan,&nbsp;Sebastian Mititelu,&nbsp;Josh Andres,&nbsp;m.c. schraefel","doi":"10.1016/j.ijhcs.2024.103313","DOIUrl":"https://doi.org/10.1016/j.ijhcs.2024.103313","url":null,"abstract":"","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.4,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924000971/pdfft?md5=1e28a0f152364356ee5d36f4b4350998&pid=1-s2.0-S1071581924000971-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141429766","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":"Mapping in harmony: Co-designing user interfaces for conflict management on OSM","authors":"Youjin Choe ,&nbsp;Senuri Wijenayake ,&nbsp;Martin Tomko ,&nbsp;Mohsen Kalantari","doi":"10.1016/j.ijhcs.2024.103316","DOIUrl":"10.1016/j.ijhcs.2024.103316","url":null,"abstract":"<div><p>Online peer-production communities (OPPCs) have witnessed producer conflicts that negatively impact their project quality and producer morale. In response to such issues, OPPCs have supported producers to self-manage conflict as its frequency is exceeding the capacity of volunteer moderators. In this paper, we solicit design guidelines reflecting producers’ requirements and perspectives for self-conflict management in an OPPC called OpenStreetMap (OSM). We use the OSM Changeset Discussions user interface – one of OSM’s tools designed to facilitate conflict management – as our target interface. We conduct co-design workshops to collect OSM mappers’ perspectives on the existing conflict management user interface (UI) and re-design alternatives based on mappers’ suggestions. We collect rich reflections on four design prompts covering the User Experience (UX) criteria of utility, usability, desirability, and adoptability, contrasting the current and alternative Changeset Discussion UI designs. Our results lead to two design guidelines: (1) provide gentle and non-intrusive reminders customized based on OSM’s mapper profile and (2) provide customizable mapper profile information displayed during online discussion. We discuss challenges associated with the co-designing process in an OPPC as OSM and how future studies should focus on making incremental changes based on user-participatory methods to minimize any user resistance.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141410059","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":"Different dimensions of anthropomorphic design cues: How visual appearance and conversational style influence users’ information disclosure tendency towards chatbots","authors":"Jiahao Chen ,&nbsp;Mingming Li ,&nbsp;Jaap Ham","doi":"10.1016/j.ijhcs.2024.103320","DOIUrl":"10.1016/j.ijhcs.2024.103320","url":null,"abstract":"<div><p>Text-based chatbots are widely used to deliver personalized services by leveraging user-provided information, and anthropomorphic design is crucial for their effectiveness. However, most earlier studies investigated the effects of anthropomorphic design of chatbots while manipulating only one dimension of anthropomorphic cues. The current research investigated how different dimensions of anthropomorphic design cues affect users’ information disclosure tendency towards chatbots. That is, the present study examined the effects of visual appearance (high anthropomorphism vs. low anthropomorphism), manipulating the visual cues dimension, and conversational style (human-like vs. mechanical), manipulating the verbal cues dimension, on users’ information disclosure tendency towards chatbots. Results showed positive effects of human-like conversational style on users’ information disclosure tendency. Of particular significance, an interaction effect between visual appearance and conversational style on users’ information disclosure tendency was found. Users reported a higher information disclosure tendency when the chatbot was designed with anthropomorphic cues consistent over dimensions. This finding suggested that an expectancy violation effect occurs when a chatbot exhibits inconsistent anthropomorphic design cues on two different dimensions. Besides, perceived security was identified as a positive mediating factor in the relationship between conversational style and users’ information disclosure tendency. This study advances research on users’ information disclosure tendency towards anthropomorphic chatbots and highlights the importance of different dimensions of anthropomorphic cues in chatbot design. Additionally, practical guidance for chatbot designers was also provided.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141409574","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":"Articulation work for supporting the values of students attending class via telepresence robots","authors":"Houda Elmimouni ,&nbsp;Jennifer A. Rode ,&nbsp;Selma Šabanović","doi":"10.1016/j.ijhcs.2024.103318","DOIUrl":"10.1016/j.ijhcs.2024.103318","url":null,"abstract":"<div><p>Robotic Telepresence (TR) is a promising medium for providing classroom access for students who are unable to attend classes in-person. While existing research has focused on TR’s usability, adoption, and embodiment, there is a need for research focusing on how TR supports key user values — like identity, privacy, and courtesy — in educational contexts. To bridge this gap, we engaged 22 university students in a field study using Beam telepresence robots, which enabled us to discern the key manifestations of these three values in classroom human–robot interactions. We also identified articulation work improvised by remote students to maintain these values. Based on our findings, we propose recommendations for use that can support these values and offer design recommendations for future telepresence robots. Our insights offer valuable guidance to educational institutions intending to integrate telepresence robots, as well as to their designers.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141416149","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":"Designing personalized mental health interventions for anxiety: CBT therapists’ perspective","authors":"Andreas Balaskas ,&nbsp;Stephen M. Schueller ,&nbsp;Kevin Doherty ,&nbsp;Anna L. Cox ,&nbsp;Gavin Doherty","doi":"10.1016/j.ijhcs.2024.103319","DOIUrl":"10.1016/j.ijhcs.2024.103319","url":null,"abstract":"<div><p>Anxiety disorders are the most common mental health problem, and cognitive-behavioral therapy is one of the most widely used, evidence-based treatments. While several mobile apps for anxiety that integrate cognitive-behavioral therapy (CBT) techniques exist, major challenges remain concerning uptake and engagement. Personalization is one strategy that can be used to improve client engagement, and integrating therapist input is one mechanism for such personalization. This study aims to understand therapist practices and identify new possibilities for delivering intervention content between face-to-face CBT therapy sessions. It comprised semi-structured interviews, followed by a series of ideation activities, and thematic analysis of the data. The results showed the central role of clients in shaping the content of therapy sessions, their challenges with homework practice, and therapists’ diverse practices. Analysis of the ideation activities elaborated the potential role of therapists in the personalization of apps for anxiety. We conclude with takeaways for designers of personalized mental health mobile applications.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924001034/pdfft?md5=36746f218e488e7d69c0dd7ba0a1bf52&pid=1-s2.0-S1071581924001034-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141410434","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":"The Guided Evaluation Method: An easier way to empirically estimate trained user performance for unfamiliar keyboard layouts","authors":"Aunnoy K Mutasim ,&nbsp;Anil Ufuk Batmaz ,&nbsp;Moaaz Hudhud Mughrabi ,&nbsp;Wolfgang Stuerzlinger","doi":"10.1016/j.ijhcs.2024.103317","DOIUrl":"10.1016/j.ijhcs.2024.103317","url":null,"abstract":"<div><p>To determine in a user study whether proposed keyboard layouts, such as OPTI, can surpass QWERTY in performance, extended training through longitudinal studies is crucial. However, addressing the challenge of creating trained users presents a logistical bottleneck. A common alternative involves having participants type the same word or phrase repeatedly. We conducted two separate studies to investigate this alternative. The findings reveal that both approaches, repeatedly typing words or phrases, have limitations in accurately estimating trained user performance. Thus, we propose the Guided Evaluation Method (GEM), a novel approach to <em>quickly</em> estimate trained user performance with novices. Our results reveal that in a matter of minutes, participants exhibited performance similar to an existing longitudinal study — OPTI outperforms QWERTY. As it eliminates the need for resource-intensive longitudinal studies, our new GEM thus enables much faster estimation of trained user performance. This outcome will potentially reignite research on better text entry methods.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":null,"pages":null},"PeriodicalIF":5.3,"publicationDate":"2024-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141410239","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}