International Journal of Human-Computer Studies最新文献

{"title":"You, me, and HPV: Design research to explore attitudes towards cervical self-sampling","authors":"Doireann Peelo Dennehy ,&nbsp;Muireann Mc Mahon ,&nbsp;Stephanie Murphy ,&nbsp;Sarah Foley ,&nbsp;Kellie Morrissey","doi":"10.1016/j.ijhcs.2024.103221","DOIUrl":"10.1016/j.ijhcs.2024.103221","url":null,"abstract":"<div><p>Cervical cancer screening has the potential to save lives, but it can also produce strong anxiety and self-stigma in those who are screened. Although there has been a recent turn towards women's health in design, the potential for design to ameliorate experiences of cervical screening remains underexplored. In this paper, we report on a design research study with 15 Irish women that qualitatively unpacked their attitudes towards screening, their social learning processes, mediated through technology, and how they live with and give meaning to health-related information related to the topic of cervical screening and which they procure online. Following this, we developed NALA, a product-service-system that aimed to 1) allow self-sampling for HPV via menstrual blood, and 2) provide information around the topic of HPV, cervical cancer, and screening. This paper presents NALA, a preliminary evaluation of the system, and concludes with provocations for continuing design research in the area of digital design for women's health.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"185 ","pages":"Article 103221"},"PeriodicalIF":5.4,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924000053/pdfft?md5=249d4ba2cc3f4e839b1a6af946f20445&pid=1-s2.0-S1071581924000053-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139483466","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":"Conversation-based hybrid UI for the repertory grid technique: A lab experiment into automation of qualitative surveys","authors":"Yunxing Liu,&nbsp;Jean-Bernard Martens","doi":"10.1016/j.ijhcs.2024.103227","DOIUrl":"10.1016/j.ijhcs.2024.103227","url":null,"abstract":"<div><p>A frequent use of conversational user interfaces (CUIs) today is improving the users’ experience with online quantitative surveys. In this paper, we explore the use of CUIs in qualitative surveys. As a concrete use case, we adopt a specific, well-structured, qualitative research method called the repertory grid technique (RGT). We developed a hybrid user interface (HUI) that combines a graphical user interface (GUI) with a CUI to automate the distinct stages in a RGT survey. A pilot study was used to verify the feasibility of the approach and to fine-tune interface aspects of an initial prototype. In this paper, we report the results of a within-subject lab experiment with 24 participants that aimed to establish the performance and UX in a realistic context of a more advanced prototype. We observed a small decrease in UX in some hedonistic aspects, but also confirmed that the HUI performs similarly to a human agent in most pragmatic aspects. These results provide support for our hypothesis that automating qualitative surveys is possible with proper interface design. We hope that our work can inspire other researchers to design additional tools for qualitative survey automation, especially now that generative AI systems, such as ChatGPT, open up interesting new ways for computer systems to interact with users in natural language.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"184 ","pages":"Article 103227"},"PeriodicalIF":5.4,"publicationDate":"2024-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924000119/pdfft?md5=b5156751be2815710e3593dfca7dd4ef&pid=1-s2.0-S1071581924000119-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139474623","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":"Cognitive training based on human-computer interaction and susceptibility to visual illusions. Reduction of the Ponzo effect through working memory training","authors":"Hanna Bednarek ,&nbsp;Magdalena Przedniczek ,&nbsp;Radosław Wujcik ,&nbsp;Justyna M. Olszewska ,&nbsp;Jarosław Orzechowski","doi":"10.1016/j.ijhcs.2024.103226","DOIUrl":"10.1016/j.ijhcs.2024.103226","url":null,"abstract":"<div><p>The main objective of the current study was to test the efficiency of adaptive cognitive training programs based on human-computer interaction. More specifically, the influence of this training on resistance to orientation visual illusions (Poggendorff, Zӧllner) and metric visual illusions (Ebbinghaus, Müller-Lyer, Ponzo) was tested. In addition, the second goal of the study was to verify whether Witkin's field dependence/independence, defined as an individual's ability to identify parts of an organized visual field as elements separate from that field, moderates the influence of cognitive training on visual illusion resistance. 250 participants aged 19–32 took part in the experiment. In addition to a passive control group, three training groups were used: a working memory-training group, an attention-training group, and a perception-training group. The groups were homogeneous in terms of gender, age, and proportion of field-dependent and field-independent individuals. All groups received about three weeks of adaptive cognitive training, consisting of 18 sessions of 30 min per day. The results showed that, in general, field-dependent participants appeared to be more susceptible to visual illusions than field-independent ones. Most importantly, working memory training appeared to be effective in reducing susceptibility to the Ponzo illusion.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"184 ","pages":"Article 103226"},"PeriodicalIF":5.4,"publicationDate":"2024-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139470268","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":"I'm not upset–I get it: Effects of co-workers' stress cues on help-seekers' social diction and empathy in telecommuting","authors":"Ning Zhang ,&nbsp;Bin Yu ,&nbsp;Jun Hu ,&nbsp;Min Li ,&nbsp;Pengcheng An","doi":"10.1016/j.ijhcs.2024.103218","DOIUrl":"10.1016/j.ijhcs.2024.103218","url":null,"abstract":"<div><p>In both remote and physical work environments, it is commonplace for help-seeking messages to be rejected by other colleagues. This paper investigates how signifying co-workers’ stress status would influence the social diction and empathy of help-seekers in the context of rejection. 36 participants were recruited to perform help-seeking tasks with virtual co-workers via a professional mobile messaging application (Trillian). Their device was tailored with a vibrotactile mechanism (TacStatus), which could signify different emotional states of the co-workers: no-cue, relaxed, normal, and stressful. Independent sample Friedman nonparametric tests were conducted to analyze the social diction and empathy of the participants in their messages for help-seeking and responses to the co-workers’ rejection. This study revealed that stress cues have observable impacts on the social diction and empathy of help-seekers. Stressful and relaxed cues were found to evidently shape the social diction of help-seekers. When faced with a relaxed co-worker, the help-seeker felt disappointed and unaccepted after being rejected. By contrast, when confronted with a stressful cue, help-seekers tended to exhibit relatively more positive emotions after been rejected. This study attempts to reveal the mechanism through which stress cues influence professional messaging interactions and collaboration. The findings could provide implications for the design of socio-emotional cues in the context of messaging.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"185 ","pages":"Article 103218"},"PeriodicalIF":5.4,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139464986","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":"The role of individual differences in human-automated vehicle interaction","authors":"Christopher R. Fisher ,&nbsp;Megan B. Morris ,&nbsp;Christopher A. Stevens ,&nbsp;Garrett Swan","doi":"10.1016/j.ijhcs.2024.103225","DOIUrl":"10.1016/j.ijhcs.2024.103225","url":null,"abstract":"<div><p><span><span>As more automation is integrated into vehicles, understanding how humans interact with these new technologies is becoming increasingly important given the high cost of errors. Cognitive models have the potential to provide insights into human-automated vehicle interaction and inform risk assessment, user interface design, and </span>risk mitigation interventions. We argue that accounting for individual differences is necessary in order to derive the full benefits of cognitive models. We describe several methods for modeling individual differences and demonstrate potential pitfalls of using a one-size-fits-all model. In addition, we explain how modeling individual differences is important for risk assessment, designing robust user interfaces and automated systems, and designing effective risk mitigation interventions. Finally, we use a simulation study to demonstrate possible benefits of modeling individual differences in </span>unmanned vehicle management.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"185 ","pages":"Article 103225"},"PeriodicalIF":5.4,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139421871","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":"Developing and validating a scale for motivation in participating in time-bounded collaborative events","authors":"Marcelo Gattermann Perin ,&nbsp;Leandro de Almeida Melo ,&nbsp;Cleidson Ronald Botelho de Souza ,&nbsp;Any Caroliny Duarte Batista de Almeida ,&nbsp;Fernando Figueira Filho","doi":"10.1016/j.ijhcs.2024.103223","DOIUrl":"10.1016/j.ijhcs.2024.103223","url":null,"abstract":"<div><p><span>Time-bounded collaborative events bring together participants from different backgrounds to address a problem by creating a computational artifact over a short period of time (e.g., one or two days). Examples of these events include hackathons, game jams, codefests, ideathons, etc. Time-bounded events present minimal restrictions for participation, with hundreds of people attending an increasing number of events each year. There are different reasons why people decide to participate in time-bounded collaborative events. While several studies focused on studying the motivations to participate in these events, there is no consensus on how to measure this motivation. This paper aims to develop and validate a measure of motivation that addresses the participants’ willingness to attend a time-bounded collaborative event. The construction process of our scale used quantitative and qualitative analysis techniques. Our model of motivation is composed of a set of 20 questions that are grouped into five sub-constructs that measure different motivations: Technical, Personal Curiosity, Personal Ideation, Social Teamwork, and Business Connections. Our results show that our measure has internal reliability and convergent and </span>discriminant validity. Our findings contribute to a broader understanding of the motivations for participating in time-bounded collaborative events and provide some implications for the research and practice of such events.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"185 ","pages":"Article 103223"},"PeriodicalIF":5.4,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139421872","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":"User speech rates and preferences for system speech rates","authors":"Stewart Dowding ,&nbsp;Carl Gutwin ,&nbsp;Andy Cockburn","doi":"10.1016/j.ijhcs.2024.103222","DOIUrl":"10.1016/j.ijhcs.2024.103222","url":null,"abstract":"<div><p>Prior studies of human communication have demonstrated that prosocial outcomes occur when facets of communication converge between interlocutors—for example, social likeability and perceived competence increase when people adapt their pitch or rate of speech towards one another. Inspired by these findings, we examined whether user preference for fast or slow system speech rate covaries with user speech rate. Experimental participants uploaded samples of their reading speech and spontaneous speech, and then listened to fast and slow system speech before choosing their preferred system speech rate. Results aligned with our hypothesis that fast speakers prefer faster system speech and that slow speakers prefer slow. Design implications are discussed, as well as plans for future studies that explore the potential for systems to automatically measure the user’s speech rate and converge towards it.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"184 ","pages":"Article 103222"},"PeriodicalIF":5.4,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924000065/pdfft?md5=6293c1cc1b38803bdf3c8ec8a866f142&pid=1-s2.0-S1071581924000065-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139423037","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":"Towards the application of evidence accumulation models in the design of (semi-)autonomous driving systems – an attempt to overcome the sample size roadblock","authors":"Dominik Bachmann ,&nbsp;Leendert van Maanen","doi":"10.1016/j.ijhcs.2024.103220","DOIUrl":"10.1016/j.ijhcs.2024.103220","url":null,"abstract":"<div><p>For the foreseeable future, automated vehicles (AVs) will coexist on the roads with human drivers. To avoid accidents, AVs will require knowledge on how human drivers typically make high-stakes and time-sensitive decisions (e.g., whether or not to brake). Providing such insights could be statistical models designed to explain human information processing and decision making. This paper attempts to address a roadblock that prevents one class of such \"cognitive models\", evidence accumulation models (EAMs), from being widely applied in the design of AV systems: their high demands for data. Specifically, we investigate whether Bayesian hierarchical modeling can be used to determine a person's characteristics, if we only have limited data about their behavior but extensive data on other (comparable) people's behaviors. Leveraging a simulation study and a reanalysis of experimental data, we find that most parameters of Decision Diffusion Models (a class of EAMs) – representing information processing components – can be adequately estimated with as few as 20 observations, if prior information regarding the decision-making processes of the population is incorporated. Subsequently, we discuss the implications of our findings for the modeling of traffic situations.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"185 ","pages":"Article 103220"},"PeriodicalIF":5.4,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1071581924000041/pdfft?md5=24a3becbfaaecff283d8ecb40102730a&pid=1-s2.0-S1071581924000041-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139422008","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":"PalmSpace: Leveraging the palm for touchless interaction on public touch screen devices","authors":"Pinku Deb Nath,&nbsp;William Delamare,&nbsp;Khalad Hasan","doi":"10.1016/j.ijhcs.2024.103219","DOIUrl":"10.1016/j.ijhcs.2024.103219","url":null,"abstract":"<div><p>Touchscreen is the primary solution to interact with public devices such as Automated Teller Machines (ATMs). However, the touch modality raises health concerns since users have to touch the screens, and therefore risking the spread of contagious diseases. We design PalmSpace, an alternate input technique leveraging users’ hand palms to interact with public devices. With Palmspace, UI elements are mapped onto the users’ palms and can be accessed by touching various locations directly on the palm. We conduct a series of user studies to evaluate several design options, such as interface layout, item size, preferred item location, and suitable feedback for items. Based on the results, we design PalmSpace and compare its performance with mid-air input. We show that PalmSpace is a potential solution to interact with public devices without using their touchscreen. We conclude with design guidelines for using the palm as an alternative input space for touchscreen devices.</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"184 ","pages":"Article 103219"},"PeriodicalIF":5.4,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S107158192400003X/pdfft?md5=422f53f001a86bb990b33284c98cf6e6&pid=1-s2.0-S107158192400003X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139423237","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":"Towards the design of user-centric strategy recommendation systems for collaborative Human–AI tasks","authors":"Lakshita Dodeja ,&nbsp;Pradyumna Tambwekar ,&nbsp;Erin Hedlund-Botti,&nbsp;Matthew Gombolay","doi":"10.1016/j.ijhcs.2023.103216","DOIUrl":"10.1016/j.ijhcs.2023.103216","url":null,"abstract":"<div><p><span><span>Artificial Intelligence is being employed by humans to collaboratively solve complicated tasks for search and rescue, manufacturing, etc. Efficient teamwork can be achieved by understanding user preferences and recommending different strategies for solving the particular task to humans. Prior work has focused on personalization of recommendation systems for relatively well-understood tasks in the context of e-commerce or social networks. In this paper, we seek to understand the important factors to consider while designing user-centric strategy recommendation systems for decision-making. We conducted a human-subjects experiment (n=60) for measuring the preferences of users with different personality types towards different strategy recommendation systems. We conducted our experiment across four types of strategy recommendation modalities that have been established in prior work: (1) Single strategy recommendation, (2) Multiple similar recommendations, (3) Multiple diverse recommendations, (4) All possible strategies recommendations. While these strategy recommendation schemes have been explored independently in prior work, our study is novel in that we employ all of them simultaneously and in the context of strategy recommendations, to provide us an in-depth overview of the perception of different strategy recommendation systems. We found that certain </span>personality traits, such as conscientiousness, notably impact the preference towards a particular type of system (</span><span><math><mi>p</mi></math></span> <span><math><mo>&lt;</mo></math></span> 0.01). Finally, we report an interesting relationship between usability, alignment, and perceived intelligence wherein greater perceived alignment of recommendations with one’s own preferences leads to higher perceived intelligence (<span><math><mi>p</mi></math></span> <span><math><mo>&lt;</mo></math></span> 0.01) and higher usability (<span><math><mi>p</mi></math></span> <span><math><mo>&lt;</mo></math></span> 0.01).</p></div>","PeriodicalId":54955,"journal":{"name":"International Journal of Human-Computer Studies","volume":"184 ","pages":"Article 103216"},"PeriodicalIF":5.4,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139375143","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}