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Towards a Material Ethics of Computing: Addressing the Uneven Environmental Stakes of Digital Infrastructures 迈向计算的物质伦理:解决数字基础设施的不平衡环境风险
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3505649
Jen Liu, C. Lin, A. Pasek, R. Soden, Lace M. K. Padilla, D. Rosner, S. Jackson
{"title":"Towards a Material Ethics of Computing: Addressing the Uneven Environmental Stakes of Digital Infrastructures","authors":"Jen Liu, C. Lin, A. Pasek, R. Soden, Lace M. K. Padilla, D. Rosner, S. Jackson","doi":"10.1145/3491101.3505649","DOIUrl":"https://doi.org/10.1145/3491101.3505649","url":null,"abstract":"As concerns around climate change escalate, the need to address the environmental impacts of computing becomes more dire. While urgent action is needed, there is also opportunity to rectify longstanding inequities and injustices present in the relationship between computing and the environment. The aim of this one-day hybrid workshop is to gather researchers and practitioners and develop a material ethics of computing. We frame material ethics as a shared understanding of the relations between material and labor that shape digital infrastructures. Through presentations, discussions, and facilitated activities, we aim to build a research community to understand how computing facilitate sites of environmental damage and degradation, and also spaces for justice, change, and hope.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129655752","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: 1
Cardiac Arrest: Evaluating the Role of Biosignals in Gameplay Strategies and Players’ Physiological Synchrony in Social Deception Games 心脏骤停:评估生物信号在社交欺骗游戏玩法策略和玩家生理同步性中的作用
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519670
C. Fang, G. R. Marvez, Neska El Haouij, Rosalind W. Picard
{"title":"Cardiac Arrest: Evaluating the Role of Biosignals in Gameplay Strategies and Players’ Physiological Synchrony in Social Deception Games","authors":"C. Fang, G. R. Marvez, Neska El Haouij, Rosalind W. Picard","doi":"10.1145/3491101.3519670","DOIUrl":"https://doi.org/10.1145/3491101.3519670","url":null,"abstract":"Social deduction or deception games are games in which a player or team of players actively deceives other players who are trying to discover hidden roles as a part of the win condition. Included in this category are games like One Night Werewolf, Avalon, and Mafia. In this pilot study (N=24), we examined how the addition of visual displays of heart rate (HR) signals affected players’ gameplay in a six-player version of Mafia in online and in-person settings. We also examined moments of synchrony in HR data during critical moments of gameplay. We find that seeing signals did affect players’ strategies and influenced their gameplay, and that there were moments of HR synchrony during vital game events. These results suggest that HR, when available, is used by players in making game decisions, and that players’ HR can be a measure of like-minded player decisions. Future work can explore how other biosignals are utilized by players of social deception games, and how those signals may undergo unconscious synchrony.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129659128","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: 3
Finding Strategies Against Misinformation in Social Media: A Qualitative Study 在社交媒体中寻找对抗错误信息的策略:一项定性研究
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519661
Jacqueline Urakami, Y. Kim, Hiroki Oura, Katie Seaborn
{"title":"Finding Strategies Against Misinformation in Social Media: A Qualitative Study","authors":"Jacqueline Urakami, Y. Kim, Hiroki Oura, Katie Seaborn","doi":"10.1145/3491101.3519661","DOIUrl":"https://doi.org/10.1145/3491101.3519661","url":null,"abstract":"Misinformation spread through social media has become a fundamental challenge in modern society. Recent studies have evaluated various strategies for addressing this problem, such as by modifying social media platforms or educating people about misinformation, to varying degrees of success. Our goal is to develop a new strategy for countering misinformation: intelligent tools that encourage social media users to foster metacognitive skills ”in the wild.” As a first step, we conducted focus groups with social media users to discover how they can be best supported in combating misinformation. Qualitative analyses of the discussions revealed that people find it difficult to detect misinformation. Findings also indicated a need for but lack of resources to support cross-validation of information. Moreover, misinformation had a nuanced emotional impact on people. Suggestions for the design of intelligent tools that support social media users in information selection, information engagement, and emotional response management are presented.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129800149","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: 6
QuadStretch: A Forearm-wearable Multi-dimensional Skin Stretch Display for Immersive VR Haptic Feedback QuadStretch:用于沉浸式VR触觉反馈的前臂可穿戴多维皮肤拉伸显示器
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519908
Y. Shim, Taejun Kim, Geehyuk Lee
{"title":"QuadStretch: A Forearm-wearable Multi-dimensional Skin Stretch Display for Immersive VR Haptic Feedback","authors":"Y. Shim, Taejun Kim, Geehyuk Lee","doi":"10.1145/3491101.3519908","DOIUrl":"https://doi.org/10.1145/3491101.3519908","url":null,"abstract":"This demonstration presents QuadStretch, a multidimensional skin stretch display that is worn on the forearm for VR interaction. QuadStretch realizes a light and flexible form factor without a large frame that grounds the device on the arm and provides rich haptic feedback through high expressive performance of stretch modality and various stimulation sites around the forearm. In the demonstration, the presenter lets participants experience six VR interaction scenarios with QuadStretch feedback: Boxing, Pistol, Archery, Slingshot, Wings, and Climbing. In each scenario, the user’s actions are mapped to the skin stretch parameters and fed back, allowing users to experience QuadStretch’s large output space that enables an immersive VR experience.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127113022","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: 3
Anti-Racism in Action: A Speculative Design Approach to Reimagining SIGCHI 反种族主义在行动:重新构想SIGCHI的思辨设计方法
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3516504
Bryan Dosono, Ihudiya Finda Ogbonnaya-Ogburu, Yolanda A. Rankin, Angela D. R. Smith, Kentaro Toyama
{"title":"Anti-Racism in Action: A Speculative Design Approach to Reimagining SIGCHI","authors":"Bryan Dosono, Ihudiya Finda Ogbonnaya-Ogburu, Yolanda A. Rankin, Angela D. R. Smith, Kentaro Toyama","doi":"10.1145/3491101.3516504","DOIUrl":"https://doi.org/10.1145/3491101.3516504","url":null,"abstract":"In this interactive panel, a brief introduction by the panelists regarding their stances on race and HCI will be followed by breakout group discussion in which participants will be prompted to ask themselves what anti-racist actions they can take in their workplaces and in HCI work.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132310187","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
Who Will Support My Project? Interactive Search of Potential Crowdfunding Investors Through inSearch 谁会支持我的项目?通过inSearch互动搜索潜在众筹投资者
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519725
Songheng Zhang, Y. Wang, Haotian Li, Wanyu Zhang
{"title":"Who Will Support My Project? Interactive Search of Potential Crowdfunding Investors Through inSearch","authors":"Songheng Zhang, Y. Wang, Haotian Li, Wanyu Zhang","doi":"10.1145/3491101.3519725","DOIUrl":"https://doi.org/10.1145/3491101.3519725","url":null,"abstract":"Crowdfunding provides project founders with a convenient way to reach online investors. However, it is challenging for founders to find the most potential investors and successfully raise money for their projects on crowdfunding platforms. A few machine learning based methods have been proposed to recommend investors’ interest in a specific crowdfunding project, but they fail to provide project founders with explanations in detail for these recommendations, thereby leading to an erosion of trust in predicted investors. To help crowdfunding founders find truly interested investors, we conducted semi-structured interviews with four crowdfunding experts and presents inSearch, a visual analytic system. inSearch allows founders to search for investors interactively on crowdfunding platforms. It supports an effective overview of potential investors by leveraging a Graph Neural Network to model investor preferences. Besides, it enables interactive exploration and comparison of the temporal evolution of different investors’ investment details.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127631168","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: 1
MultiFingerBubble: A 3D Bubble Cursor Variation for Dense Environments MultiFingerBubble:密集环境下的3D气泡游标变体
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519692
W. Delamare, Maxime Daniel, Khalad Hasan
{"title":"MultiFingerBubble: A 3D Bubble Cursor Variation for Dense Environments","authors":"W. Delamare, Maxime Daniel, Khalad Hasan","doi":"10.1145/3491101.3519692","DOIUrl":"https://doi.org/10.1145/3491101.3519692","url":null,"abstract":"In this work, we propose MultiFingerBubble, a new variation of the 3D Bubble Cursor. The 3D Bubble Cursor is sensitive to distractors in dense environments: the volume selection resizes to snap-to nearby targets. To prevent the cursor to constantly re-snap to neighboring targets, MultiFingerBubble includes multiple targets in the volume selection, and hence increases the targets effective width. Each target in the volume selection is associated with a specific finger. Users can then select a target by flexing its corresponding finger. We report on a controlled in-lab experiment to explore various design options regarding the number of fingers to use, and the target-to-finger mapping and its visualization. Our study results suggest that MultiFingerBubble is best used with three fingers and colored lines to reveal the mapping between targets and fingers.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131335579","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: 6
Would Users Accept Electric Muscle Stimulation Controlling their Body? Insights from a Scenario-based Investigation 用户会接受肌肉电刺激控制他们的身体吗?基于场景的调查的见解
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519693
Ambika Shahu, Philipp Wintersberger, F. Michahelles
{"title":"Would Users Accept Electric Muscle Stimulation Controlling their Body? Insights from a Scenario-based Investigation","authors":"Ambika Shahu, Philipp Wintersberger, F. Michahelles","doi":"10.1145/3491101.3519693","DOIUrl":"https://doi.org/10.1145/3491101.3519693","url":null,"abstract":"Electric muscle stimulation (EMS) offers rich opportunities for haptic interaction. However, there is no comprehensive study assessing the user acceptance of this technology. Consequently, we synthesized four scenarios (motor learning, virtual reality, media player control, and pedestrian safety) based on various dimensions identified by the literature review. We assessed their user acceptance in an online survey (N=113) using the technology acceptance model (TAM). Our findings suggest that users may reject EMS systems if they perceive a high level of risk and lack of control over the environment. This was evident even in scenarios that could provide high benefits to users, such as accelerating the learning curve in motoric tasks. In contrast, EMS seems to be widely accepted for games and entertainment, represented by the virtual reality scenario in our study. HCI researchers should employ EMS to create more engaging VR experiences, keep users in control, and provide them the option of learning skills with or without EMS. Our results will help build better EMS systems accepted by users.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408452","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: 3
SipBit: A Sensing Platform to Recognize Beverage Type, Volume, and Sugar Content Using Electrical Impedance Spectroscopy and Deep Learning SipBit:一个利用电阻抗光谱和深度学习识别饮料类型、体积和糖含量的传感平台
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519713
Chamath Amarasinghe, Nimesha Ranasinghe
{"title":"SipBit: A Sensing Platform to Recognize Beverage Type, Volume, and Sugar Content Using Electrical Impedance Spectroscopy and Deep Learning","authors":"Chamath Amarasinghe, Nimesha Ranasinghe","doi":"10.1145/3491101.3519713","DOIUrl":"https://doi.org/10.1145/3491101.3519713","url":null,"abstract":"We present SipBit, a sensing platform that digitally recognizes beverages and their attributes, an essential component in facilitating novel human-food interactions. SipBit consists of an electrical impedance measurement unit and a recognition method based on deep learning techniques. First, impedance measurements of a beverage are acquired using Electrical Impedance Spectroscopy. Then, a multi-task network cascade algorithm was employed to identify eight different beverage types in various volume levels and sugar concentrations. Results show that the multi-task network cascade discriminates beverage types with an accuracy of 96.32%, and estimates volumes with a root mean square error of 13.74ml and sugar content with a root mean square error of 7.99gdm− 3. Future work will include: 1) developing utensils embedded with SipBit for automatic beverage and attribute recognition, and 2) further developing SipBit to recognize additional beverage types and their attributes, thus enabling a new avenue for designing human-food interactive technologies.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125591396","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
QuAD: Deep-Learning Assisted Qualitative Data Analysis with Affinity Diagrams QuAD:深度学习辅助的关联图定性数据分析
CHI Conference on Human Factors in Computing Systems Extended Abstracts Pub Date : 2022-04-27 DOI: 10.1145/3491101.3519863
Ariel Goldman, Cindy Espinosa, Shivani Patel, Francesca Cavuoti, J. Chen, Alexandra Cheng, Sabrina Meng, Aditi Patil, Lydia B. Chilton, Sarah Morrison-Smith
{"title":"QuAD: Deep-Learning Assisted Qualitative Data Analysis with Affinity Diagrams","authors":"Ariel Goldman, Cindy Espinosa, Shivani Patel, Francesca Cavuoti, J. Chen, Alexandra Cheng, Sabrina Meng, Aditi Patil, Lydia B. Chilton, Sarah Morrison-Smith","doi":"10.1145/3491101.3519863","DOIUrl":"https://doi.org/10.1145/3491101.3519863","url":null,"abstract":"Affinity diagramming is an effective and efficient method for forming nuanced interpretations of wide-ranging, unstructured qualitative data; however, this method does not scale well to large data sets. We propose a novel affinity diagramming system, called Qualitative Affinity Diagrammer (QuAD) that leverages computer-generated suggestions using deep learning to address the scalability of the diagramming process. QuAD features automatic grouping suggestions to jump-start the affinity diagramming process and provides grouping suggestions throughout the diagramming process to reduce sifting through notes. In this paper, we present a prototype of QuAD that uses Bidirectional Encoder Representations from Transformers (BERT) and Girvan-Newman to generate grouping suggestions. This work is the first step towards creating a powerful tool for assisting in the analysis of large qualitative data sets in a variety of contexts, including human-computer interaction.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123141548","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: 2
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