Gleb Tkachev, René Cutura, M. Sedlmair, S. Frey, T. Ertl
{"title":"Metaphorical Visualization: Mapping Data to Familiar Concepts","authors":"Gleb Tkachev, René Cutura, M. Sedlmair, S. Frey, T. Ertl","doi":"10.1145/3491101.3516393","DOIUrl":"https://doi.org/10.1145/3491101.3516393","url":null,"abstract":"We present a new approach to visualizing data that is well-suited for personal and casual applications. The idea is to map the data to another dataset that is already familiar to the user, and then rely on their existing knowledge to illustrate relationships in the data. We construct the map by preserving pairwise distances or by maintaining relative values of specific data attributes. This metaphorical mapping is very flexible and allows us to adapt the visualization to its application and target audience. We present several examples where we map data to different domains and representations. This includes mapping data to cat images, encoding research interests with neural style transfer and representing movies as stars in the night sky. Overall, we find that although metaphors are not as accurate as the traditional techniques, they can help design engaging and personalized visualizations.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"112 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":"114411822","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}
Anke Brocker, Jose A. Barreiros, Ali Shtarbanov, Kristian Gohlke, Ozgun Kilic Afsar, Sören Schröder
{"title":"Actuated Materials and Soft Robotics Strategies for Human-Computer Interaction Design","authors":"Anke Brocker, Jose A. Barreiros, Ali Shtarbanov, Kristian Gohlke, Ozgun Kilic Afsar, Sören Schröder","doi":"10.1145/3491101.3503711","DOIUrl":"https://doi.org/10.1145/3491101.3503711","url":null,"abstract":"The fields of programmable matter, actuated materials, and Soft Robotics are becoming increasingly more relevant for the design of novel applications, interfaces, and user experiences in the domain of Human-Computer Interaction (HCI). These research fields often use soft, flexible materials with elastic actuation mechanisms to build systems that are more adaptable, compliant, and suitable for a very broad range of environments. However, at the intersection between HCI and the aforementioned domains, there are numerous challenges related to fabrication methods, development tools, resource availability, nomenclature, design for inclusion, etc. This workshop aims to explore how to make Soft Robotics more accessible to both researchers and nonresearchers alike. We will (1) investigate and identify the various difficulties people face when developing HCI applications that require the transfer of knowledge from those other domains, and (2) discuss possible solutions and visions on how to overcome those difficulties.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"32 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":"116854649","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}
David Adkins, B. Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina
{"title":"Prescriptive and Descriptive Approaches to Machine-Learning Transparency","authors":"David Adkins, B. Alsallakh, Adeel Cheema, Narine Kokhlikyan, Emily McReynolds, Pushkar Mishra, Chavez Procope, Jeremy Sawruk, Erin Wang, Polina Zvyagina","doi":"10.1145/3491101.3519724","DOIUrl":"https://doi.org/10.1145/3491101.3519724","url":null,"abstract":"Specialized documentation techniques have been developed to communicate key facts about machine-learning (ML) systems and the datasets and models they rely on. Techniques such as Datasheets, FactSheets, and Model Cards have taken a mainly descriptive approach, providing various details about the system components. While the above information is essential for product developers and external experts to assess whether the ML system meets their requirements, other stakeholders might find it less actionable. In particular, ML engineers need guidance on how to mitigate potential shortcomings in order to fix bugs or improve the system’s performance. We survey approaches that aim to provide such guidance in a prescriptive way. We further propose a preliminary approach, called Method Cards, which aims to increase the transparency and reproducibility of ML systems by providing prescriptive documentation of commonly-used ML methods and techniques. We showcase our proposal with an example in small object detection, and demonstrate how Method Cards can communicate key considerations for model developers. We further highlight avenues for improving the user experience of ML engineers based on Method Cards.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"38 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":"115167389","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}
Andreas Schmid, Lorenz Heckelbacher, Raphael Wimmer
{"title":"Extracting Handwritten Annotations from Printed Documents Via Infrared Scanning","authors":"Andreas Schmid, Lorenz Heckelbacher, Raphael Wimmer","doi":"10.1145/3491101.3519872","DOIUrl":"https://doi.org/10.1145/3491101.3519872","url":null,"abstract":"Despite ever improving digital ink and paper solutions, many people still prefer printing out documents for close reading, proofreading, or filling out forms. However, in order to incorporate paper-based annotations into digital workflows, handwritten text and markings need to be extracted. Common computer-vision and machine-learning approaches require extensive sets of training data or a clean digital version of the document. We propose a simple method for extracting handwritten annotations from laser-printed documents using multispectral imaging. While black toner absorbs infrared light, most inks are invisible in the infrared spectrum. We modified an off-the-shelf flatbed scanner by adding a switchable infrared LED to its light guide. By subtracting an infrared scan from a color scan, handwritten text and highlighting can be extracted and added to a PDF version. Initial experiments show accurate results with high quality on a test data set of 93 annotated pages. Thus, infrared scanning seems like a promising building block for integrating paper-based and digital annotation practices.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"475 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":"115406708","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}
Minha Lee, Jaisie Sin, Guy Laban, Matthias Kraus, L. Clark, Martin Porcheron, Benjamin R. Cowan, Asbjørn Følstad, Cosmin Munteanu, Heloisa Candello
{"title":"Ethics of Conversational User Interfaces","authors":"Minha Lee, Jaisie Sin, Guy Laban, Matthias Kraus, L. Clark, Martin Porcheron, Benjamin R. Cowan, Asbjørn Følstad, Cosmin Munteanu, Heloisa Candello","doi":"10.1145/3491101.3503699","DOIUrl":"https://doi.org/10.1145/3491101.3503699","url":null,"abstract":"Building on the prior workshops on conversational user interfaces (CUIs) [2, 40], we tackle the topic of ethics of CUIs at CHI 2022. Though commercial CUI developments continue to rapidly advance, our scholarly dialogue on ethics of CUIs is underwhelming. The CUI community has implicitly been concerned with ethics, yet making it central to the growing body of work thus far has not been adequately done. Since ethics is a far-reaching topic, perspectives from philosophy, design, and engineering domains are integral to our CUI research community. For instance, philosophical traditions, e.g., deontology or virtue ethics, can guide ethical concepts that are relevant for CUIs, e.g., autonomy or trust. The practice of design through approaches like value sensitive design can inform how CUIs should be developed. Ethics comes into play with technical contributions, e.g., privacy-preserving data sharing between conversational systems. By considering such multidisciplinary angles, we come to a special topic of interest that ties together philosophy, design, and engineering: conversational disclosure, e.g., sharing personal information, transparency, e.g., as how to transparently convey relevant information in a conversational manner, and vulnerability of diverse user groups that should be taken into consideration.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"344 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":"123102723","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}
{"title":"InfinityWall – Vertical Locomotion in Virtual Reality using a Rock Climbing Treadmill","authors":"Felix Kosmalla, Florian Daiber, A. Krüger","doi":"10.1145/3491101.3519654","DOIUrl":"https://doi.org/10.1145/3491101.3519654","url":null,"abstract":"Current commodity Virtual Reality (VR) hardware allows for free, even wireless roaming, however it is still confined by a finite tracking space. To overcome this issue, past research has introduced different methods for vertical locomotion, ranging from walking on a treadmill to interaction paradigms such as teleportation. Recently, researchers have integrated rock climbing on a physical wall into VR experiences. The space available is naturally confined by the dimensions of the wall. Building upon this, we present implementation details and future research directions of a VR system for vertical locomotion on a rock climbing treadmill.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"12 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":"123593170","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}
Nima Zargham, Dmitry Alexandrovsky, Jan Erich, Nina Wenig, R. Malaka
{"title":"“I Want It That Way”: Exploring Users’ Customization and Personalization Preferences for Home Assistants","authors":"Nima Zargham, Dmitry Alexandrovsky, Jan Erich, Nina Wenig, R. Malaka","doi":"10.1145/3491101.3519843","DOIUrl":"https://doi.org/10.1145/3491101.3519843","url":null,"abstract":"Home assistants are becoming a widespread product, but they mostly come as a compact device and offer very few customization and personalization features, which often leads to dissatisfaction. With the technological advancements, these systems are becoming more adaptable to the users’ needs and can better imitate a human personality. To achieve that efficiently, understanding how different users envision their desired assistant is crucial. To identify people’s customization and personalization preferences and their desired personality for a home assistant, we designed a set of storyboards depicting a variety of possible features in a domestic setting and conducted a user study (), including a series of semi-structured interviews. Our quantitative results suggest that users prefer an agent which is highly agreeable and has higher conscientiousness and emotional stability. Furthermore, we discuss users’ customization and personalization preferences for a home assistant, which could be considered when designing the future generation of home assistants.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"243 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":"123026546","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}
Karla A. Badillo-Urquiola, Carl Antoine, Amanda Nisenbaum, Zachary Shea, P. Wisniewski
{"title":"“30 Days:” An EMA Diary Mobile App & Web Tool","authors":"Karla A. Badillo-Urquiola, Carl Antoine, Amanda Nisenbaum, Zachary Shea, P. Wisniewski","doi":"10.1145/3491101.3519888","DOIUrl":"https://doi.org/10.1145/3491101.3519888","url":null,"abstract":"As HCI researchers, we are constantly searching for ways to improve the approaches in which we engage with our participants, especially when engaging with vulnerable populations about sensitive topics like online risk experiences. For this reason, we developed “30 Days,” a cross-platform EMA diary mobile app and web tool that collects contextualized data by engaging and motivating teens to report on their daily online experiences. We developed 30 Days to be tailored to the needs of researchers using experience sampling with teens. This interactivity demonstration provides an overview of the “30 Days” system.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"48 1-2 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":"123268423","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}
Jacob Aagaard, Miria Emma Clausen Knudsen, Per Baekgaard, Kevin Doherty
{"title":"A Game of Dark Patterns: Designing Healthy, Highly-Engaging Mobile Games","authors":"Jacob Aagaard, Miria Emma Clausen Knudsen, Per Baekgaard, Kevin Doherty","doi":"10.1145/3491101.3519837","DOIUrl":"https://doi.org/10.1145/3491101.3519837","url":null,"abstract":"Gaming is a more accessible, engaging and popular past-time than ever before. Recent research highlights games as strikingly effective means of capturing and holding our attention — so effective, some argue, to the point of deleterious effect. An impassioned CHI2021 panel discussion directed these efforts towards the ethics and adoption of dark patterns. And yet, we know little as to how dark patterns are perceived and arise in the design, development and use of games. This paper seeks to address this knowledge gap by recounting findings from a design-led inquiry comprising interviews and workshops conducted with mobile game players, designers, developers, and business developers. We contribute an understanding of how dark patterns arise in the development, use and commercialisation of mobile games, their effects on players and industry professionals, and means for the consideration, negotiation and navigation of these strategies for gamer-engagement by design — in support of healthier, highly-engaging game experiences.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"108 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":"123416329","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}
S. Wallace, Tianyuan Cai, Brendan Le, Luis A Leiva
{"title":"Debiased Label Aggregation for Subjective Crowdsourcing Tasks","authors":"S. Wallace, Tianyuan Cai, Brendan Le, Luis A Leiva","doi":"10.1145/3491101.3519614","DOIUrl":"https://doi.org/10.1145/3491101.3519614","url":null,"abstract":"Human Intelligence Tasks (HITs) allow people to collect and curate labeled data from multiple annotators. Then labels are often aggregated to create an annotated dataset suitable for supervised machine learning tasks. The most popular label aggregation method is majority voting, where each item in the dataset is assigned the most common label from the annotators. This approach is optimal when annotators are unbiased domain experts. In this paper, we propose Debiased Label Aggregation (DLA) an alternative method for label aggregation in subjective HITs, where cross-annotator agreement varies. DLA leverages user voting behavior patterns to weight labels. Our experiments show that DLA outperforms majority voting in several performance metrics; e.g. a percentage increase of 20 points in the F1 measure before data augmentation, and a percentage increase of 35 points in the same measure after data augmentation. Since DLA is deceptively simple, we hope it will help researchers to tackle subjective labeling tasks.","PeriodicalId":123301,"journal":{"name":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","volume":"48 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":"122740398","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}