{"title":"Color2Vec: Web-Based Modeling of Word-Color Association with Sociocultural Contexts","authors":"Long Xu, S. Park, Sangwon Lee","doi":"10.1145/3571816","DOIUrl":"https://doi.org/10.1145/3571816","url":null,"abstract":"Color design has long benefited from the statistical analysis of public taste and, more recently, from crowdsourcing to discover fresh and popular ideas. However, the current color dictionary is considerably restricted in terms of the scope of expressible design concepts and the control of target demographics. We propose a search-engine-based color palette generator inspired by Natural Language Processing algorithms that filter and cluster semantically related words. The post-evaluation reveals that our results not only faithfully realize the given keywords but are notable indicators of inter-group dynamics; the differential recognition of the other group's identity colors reflects the direction of historic, geographic, or cultural influence.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":"1 - 29"},"PeriodicalIF":3.7,"publicationDate":"2022-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43845425","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":"Modeling Adaptive Expression of Robot Learning Engagement and Exploring its Effects on Human Teachers","authors":"Shuai Ma, Mingfei Sun, Xiaojuan Ma","doi":"10.1145/3571813","DOIUrl":"https://doi.org/10.1145/3571813","url":null,"abstract":"Robot Learning from Demonstration (RLfD) allows non-expert users to teach a robot new skills or tasks directly through demonstrations. Although modeled after human-human learning and teaching, existing RLfD methods make robots act as passive observers without the feedback of their learning statuses in the demonstration gathering stage. To facilitate a more transparent teaching process, we propose two mechanisms of Learning Engagement, Z2O-Mode and D2O-Mode, to dynamically adapt robots’ attentional and behavioral engagement expressions to their actual learning status. Through an online user experiment with 48 participants, we find that, compared with two baselines, the two kinds of Learning Engagement can lead to users’ more accurate mental models of the robot’s learning progress, more positive perceptions of the robot, and better teaching experience. Finally, we provide implications for leveraging engagement expression to facilitate transparent human-AI (robot) communication based on our key findings.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2022-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44339874","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":"Achieving Digital Wellbeing Through Digital Self-control Tools: A Systematic Review and Meta-analysis","authors":"A. M. Roffarello, Luigi De Russis","doi":"10.1145/3571810","DOIUrl":"https://doi.org/10.1145/3571810","url":null,"abstract":"Public media and researchers in different areas have recently focused on perhaps unexpected problems that derive from an excessive and frequent use of technology, giving rise to a new kind of psychological “digital” wellbeing. Such a novel and pressing topic has fostered, both in the academia and in the industry, the emergence of a variety of digital self-control tools allowing users to self-regulate their technology use through interventions like timers and lock-out mechanisms. While these emerging technologies for behavior change hold great promise to support people’s digital wellbeing, we still have a limited understanding of their real effectiveness, as well as of how to best design and evaluate them. Aiming to guide future research in this important domain, this article presents a systematic review and a meta-analysis of current work on tools for digital self-control. We surface motivations, strategies, design choices, and challenges that characterize the design, development, and evaluation of digital self-control tools. Furthermore, we estimate their overall effect size on reducing (unwanted) technology use through a meta-analysis. By discussing our findings, we provide insights on how to (i) overcome a limited perspective that exclusively focuses on technology overuse and self-monitoring tools, (ii) evaluate digital self-control tools through long-term studies and standardized measures, and (iii) bring ethics in the digital wellbeing discourse and deal with the business model of contemporary tech companies.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"30 1","pages":"1 - 66"},"PeriodicalIF":3.7,"publicationDate":"2022-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48589109","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}
Margaret E. Morris, Jennifer Brown, Paula S. nurius, Savanna Yee, Jennifer Mankoff, Sunny Consolvo
{"title":"“I Just Wanted to Triple Check… They were all Vaccinated”: Supporting Risk Negotiation in the Context of COVID-19","authors":"Margaret E. Morris, Jennifer Brown, Paula S. nurius, Savanna Yee, Jennifer Mankoff, Sunny Consolvo","doi":"10.1145/3569938","DOIUrl":"https://doi.org/10.1145/3569938","url":null,"abstract":"During the COVID-19 pandemic, risk negotiation became an important precursor to in-person contact. For young adults, social planning generally occurs through computer-mediated communication. Given the importance of social connectedness for mental health and academic engagement, we sought to understand how young adults plan in-person meetups over computer-mediated communication in the context of the pandemic. We present a qualitative study that explores young adults’ risk negotiation during the COVID-19 pandemic, a period of conflicting public health guidance. Inspired by cultural probe studies, we invited participants to express their preferred precautions for one week as they planned in-person meetups. We interviewed and surveyed participants about their experiences. Through qualitative analysis, we identify strategies for risk negotiation, social complexities that impede risk negotiation, and emotional consequences of risk negotiation. Our findings have implications for AI-mediated support for risk negotiation and assertive communication more generally. We explore tensions between risks and potential benefits of such systems.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":"1 - 31"},"PeriodicalIF":3.7,"publicationDate":"2022-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43396078","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}
Ananya Bhattacharjee, Jiyau Pang, Angelina Liu, A. Mariakakis, J. J. Williams
{"title":"Design Implications for One-Way Text Messaging Services that Support Psychological Wellbeing","authors":"Ananya Bhattacharjee, Jiyau Pang, Angelina Liu, A. Mariakakis, J. J. Williams","doi":"10.1145/3569888","DOIUrl":"https://doi.org/10.1145/3569888","url":null,"abstract":"One-way text messaging services have the potential to support psychological wellbeing at scale without conversational partners. However, there is limited understanding of what challenges are faced in mapping interactions typically done face-to-face or via online interactive resources into a text messaging medium. To explore this design space, we developed seven text messages inspired by cognitive behavioral therapy. We then conducted an open-ended survey with 788 undergraduate students and follow-up interviews with students and clinical psychologists to understand how people perceived these messages and the factors they anticipated would drive their engagement. We leveraged those insights to revise our messages, after which we deployed our messages via a technology probe to 11 students for two weeks. Through our mixed-methods approach, we highlight challenges and opportunities for future text messaging services, such as the importance of concrete suggestions and flexible pre-scheduled message timing.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":"1 - 29"},"PeriodicalIF":3.7,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45120244","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}
M. Van Mechelen, R. C. Smith, Marie-Monique Schaper, M. Tamashiro, K. Bilstrup, M. Lunding, Marianne Graves Petersen, Ole Sejer Iversen
{"title":"Emerging Technologies in K–12 Education: A Future HCI Research Agenda","authors":"M. Van Mechelen, R. C. Smith, Marie-Monique Schaper, M. Tamashiro, K. Bilstrup, M. Lunding, Marianne Graves Petersen, Ole Sejer Iversen","doi":"10.1145/3569897","DOIUrl":"https://doi.org/10.1145/3569897","url":null,"abstract":"This systematic mapping review sheds light on how emerging technologies have been introduced and taught in various K–12 learning settings, particularly with regard to artificial intelligence (AI), machine learning (ML), the internet of things (IoT), augmented reality (AR), and virtual reality (VR). These technologies are rapidly being integrated into children's everyday lives, but their functions and implications are rarely understood due to their complex and distributed nature. The review provides a rigorous overview of the state of the art based on 107 records published across the fields of human-computer interaction, learning sciences, computing education, and child–computer interaction between 2010 and 2020. The findings show the urgent need on a global scale for inter- and transdisciplinary research that can integrate these dispersed contributions into a more coherent field of research and practice. The article presents nine discussion points for developing a shared agenda to mature the field. Based on the HCI community's expertise in human-centred approaches to technology and aspects of learning, we argue that the community is ideally positioned to take a leading role in the realisation of this future research agenda.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"30 1","pages":"1 - 40"},"PeriodicalIF":3.7,"publicationDate":"2022-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45177263","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}
Adwait Sharma, C. Salchow-Hömmen, Vimal Mollyn, A. Nittala, Michael A. Hedderich, Marion Koelle, T. Seel, Jürgen Steimle
{"title":"SparseIMU: Computational Design of Sparse IMU Layouts for Sensing Fine-grained Finger Microgestures","authors":"Adwait Sharma, C. Salchow-Hömmen, Vimal Mollyn, A. Nittala, Michael A. Hedderich, Marion Koelle, T. Seel, Jürgen Steimle","doi":"10.1145/3569894","DOIUrl":"https://doi.org/10.1145/3569894","url":null,"abstract":"Gestural interaction with freehands and while grasping an everyday object enables always-available input. To sense such gestures, minimal instrumentation of the user’s hand is desirable. However, the choice of an effective but minimal IMU layout remains challenging, due to the complexity of the multi-factorial space that comprises diverse finger gestures, objects, and grasps. We present SparseIMU, a rapid method for selecting minimal inertial sensor-based layouts for effective gesture recognition. Furthermore, we contribute a computational tool to guide designers with optimal sensor placement. Our approach builds on an extensive microgestures dataset that we collected with a dense network of 17 inertial measurement units (IMUs). We performed a series of analyses, including an evaluation of the entire combinatorial space for freehand and grasping microgestures (393 K layouts), and quantified the performance across different layout choices, revealing new gesture detection opportunities with IMUs. Finally, we demonstrate the versatility of our method with four scenarios.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":"1 - 40"},"PeriodicalIF":3.7,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48584588","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}
Simon Eisbach, Fabian Daugs, M. Thielsch, Matthias Böhmer, Guido Hertel
{"title":"Predicting Rating Distributions of Website Aesthetics with Deep Learning for AI-Based Research","authors":"Simon Eisbach, Fabian Daugs, M. Thielsch, Matthias Böhmer, Guido Hertel","doi":"10.1145/3569889","DOIUrl":"https://doi.org/10.1145/3569889","url":null,"abstract":"The aesthetic appeal of a website has strong effects on users’ reactions, appraisals, and even behaviors. However, evaluating website aesthetics through user ratings is resource intensive, and extant models to predict website aesthetics are limited in performance and ability. We contribute a novel and more precise approach to predict website aesthetics that considers rating distributions. Moreover, we use this approach as a baseline model to illustrate how future research might be conducted using predictions instead of participants. Our approach is based on a deep convolutional neural network model and uses innovations in the field of image aesthetic prediction. It was trained with the dataset from Reinecke and Gajos [2014] and was validated using two independent large datasets. The final model reached an unprecedented cross-validated correlation between the ground truth and predicted rating of LCC = 0.752. We then used the model to successfully replicate prior findings and conduct original research as an illustration for AI-based research.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":" ","pages":"1 - 28"},"PeriodicalIF":3.7,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46137075","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":"Managing Delays in Human-Robot Interaction","authors":"Hannah R. M. Pelikan, E. Hofstetter","doi":"10.1145/3569890","DOIUrl":"https://doi.org/10.1145/3569890","url":null,"abstract":"Delays in the completion of joint actions are sometimes unavoidable. How should a robot communicate that it cannot immediately act or respond in a collaborative task? Drawing on video recordings of a face-scanning activity in family homes, we investigate how humans make sense of a Cozmo robot’s delays on a moment-by-moment basis. Cozmo’s sounds and embodied actions are recognized as indicators of delay but encourage human participants to act in ways that undermine the scanning process. In comparing the robot’s delay management strategies with human-human vocal and embodied practices, we demonstrate key differences in the sequences that impact how the robot is understood. The study demonstrates how delay events are accomplished as embodied displays that are distributed across co-participants. We present a framework for making delay transparent through situated explanations, particularly in the form of non-lexical sounds and bodily actions.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"30 1","pages":"1 - 42"},"PeriodicalIF":3.7,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41994823","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}
Marcel Borowski, B. Fog, Carla F. Griggio, James R. Eagan, C. Klokmose
{"title":"Between Principle and Pragmatism: Reflections on Prototyping Computational Media with Webstrates","authors":"Marcel Borowski, B. Fog, Carla F. Griggio, James R. Eagan, C. Klokmose","doi":"10.1145/3569895","DOIUrl":"https://doi.org/10.1145/3569895","url":null,"abstract":"Computational media describes a vision of software, which, in contrast to application-centric software, is (1) malleable, so users can modify existing functionality, (2) computable, so users can run custom code, (3) distributable, so users can open documents across different devices, and (4) shareable, so users can easily share and collaborate on documents. Over the last ten years, the Webstrates and Codestrates projects aimed at realizing this vision of computational media. Webstrates is a server application that synchronizes the DOM of websites. Codestrates builds on top of Webstrates and adds an authoring environment, which blurs the use and development of applications. Grounded in a chronology of the development of Webstrates and Codestrates, we present eight tensions that we needed to balance during their development. We use these tensions as an analytical lens in three case studies and a game challenge in which participants created games using Codestrates. We discuss the results of the game challenge based on these tensions and present key takeaways for six of them. Finally, we present six lessons learned from our endeavor to realize the vision of computational media, demonstrating the balancing act of weighing the vision against the pragmatics of implementing a working system.","PeriodicalId":50917,"journal":{"name":"ACM Transactions on Computer-Human Interaction","volume":"30 1","pages":"1 - 53"},"PeriodicalIF":3.7,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41880750","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}