huashen218/convxai-cia-dataset huggingface dataset:
Title: What Makes Civic Tech Initiatives To Last Over Time? Dissecting Two Global Cases
Authors: family: Hamm
given: Andrea; family: Shibuya
given: Yuya; family: Ullrich
given: Stefan; family: Cerratto Pargman
given: Teresa Cerratto
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Civic Tech, Civic IoT, Scaling, Digital Civics, Citizen Science, Sustainability

Abstract: Civic tech initiatives dedicated to environmental issues have become a worldwide phenomenon and made invaluable contributions to data, community building, and publics. However, many of them stop after a relatively short time. Therefore, we studied two long-lasting civic tech initiatives of global scale, to understand what makes them sustain over time. To this end, we conducted two mixed-method case studies, combining social network analysis and qualitative content analysis of Twitter data with insights from expert interviews. Drawing on our findings, we identified a set of key factors that help the studied civic tech initiatives to grow and last. Contributing to Digital Civics in HCI, we argue that the civic tech initiatives’ scaling and sustaining are configured through the entanglement of (1) civic data both captured and owned by the citizens for the citizens, (2) the use of open and accessible technology, and (3) the initiatives’ public narrative, giving them a voice on the environmental issue.
Title: Applying Critical Voice in Design of User Interfaces for Supporting Self-Reflection and Emotion Regulation in Online News Commenting
Authors: family: Kiskola
given: Joel; family: Olsson
given: Thomas; family: Väätäjä
given: Heli; family: H. Syrjämäki
given: Aleksi; family: Rantasila
given: Anna; family: Isokoski
given: Poika; family: Ilves
given: Mirja; family: Surakka
given: Veikko
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Emotional reflection, Design Fiction, Design conventions, Critical Design, Social Media, Online News, Expert interviews, Design Research, Digital Media, Critique

Abstract: On digital media services, uncivil commenting is a persistent issue causing negative emotional reactions. One enabler for such problematic behavior is the user interface, conditioning, and structuring text-based communication online. However, the specific roles and influences of UIs are little understood, which calls for critical analysis of the current UI solutions as well as speculative exploration of alternative designs. This paper reports a research-through-design study on the problematic phenomenon regarding uncivil and inconsiderate commenting on online news, envisioning unconventional solutions with a critical voice. We unpack this problem area and outline critical perspectives to possible solutions by describing and analyzing four designs that propose to support emotion regulation by facilitating self-reflection. The design choices are further discussed in respect to interviews of ten news media experts. The findings are reflected against the question of how can critique meaningfully manifest in this challenging problem area.
Title: Chasing Luck: Data-driven Prediction, Faith, Hunch, and Cultural Norms in Rural Betting Practices
Authors: family: Sultana
given: Sharifa; family: Mozumder
given: Md. Mobaydul Haque; family: Ahmed
given: Syed Ishtiaque
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Luck, Faith, Hunch, Bangladesh, Alternative rationalities, Data-driven, Betting, Rural HCI, Prediction

Abstract: HCI research predominantly uses scientific rationality to explain users’ behaviors, decisions, and interactions with statistical models based and data-driven systems. However, such interactions are often more diverse in real life, and may straddle beyond scientific and economic rationality. Building on a ten-month ethnography at seven Bangladeshi villages, we explore the social and cultural factors that influence the online betting practices among the villagers. We describe how bets harmonize with users’ faith, hunch, and cultural practices, along with statistical recommendations. Drawing on a rich body of social science work on gambling, we contribute to the HCI scholarship in rationality, justification, and postcolonial computing. Finally, we present such betting as an under-appreciated site for HCI that contradicts with the ideological hegemony of statistical rationality, and recommend a smooth integration of AI system with the “other” rationalities of the Global South.
Title: 'We Can Send A Man To The Moon But We Can't Control The Temperature In Our office'; A Considerate Approach To Workplace Thermal Comfort by Older Women
Authors: family: New
given: Kathy; family: Gormally
given: Alexandra; family: Friday
given: Adrian; family: Hazas
given: Mike
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Gender, Menopause 4, 3, 2, 1, User experience, Thermal comfort

Abstract: From Fanger's seminal work on thermal comfort in the 1970s, standards governing temperatures in the workplace enshrine clothing level calculations based on full business suits, and building regulations developed using only male metabolic data, locking in a default male perspective. Even later work that highlights gender biases with regard to metabolism calculation, inclusive of both genders has focused on younger women, and the voices of older working women are missing from this discourse. We invited women over 45 to explore what they find important in workplace thermal comfort, and how devices and interfaces might meet their needs and also encourage thermal adaptivity. Our study highlights factors such as 'fresh air', and the importance of empathy to fellow inhabitants. We bring new voices to the thermal comfort discourse which supports reducing energy use in the workplace, improving thermal environments and ensuring the needs of a diverse, aging workforce are considered.
Title: Gospels of Modernity: Digital Cattle Markets, Urban Religiosity, and Secular Computing in the Global South
Authors: family: Mim
given: Nusrat Jahan
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Secular Computing, Modernity, Spatial Politics, Digital Marketplace, Urban Design

Abstract: This paper joins the growing body of critical HCI work that studies the digitization of the Global South and reports the elements of ‘secularization’ in it. Based on a year-long ethnography on the contemporary transformations in religious practices in Dhaka, Bangladesh, this paper presents how the emerging “digital” cattle marketplaces subdue various forms of traditional manifestations of urban religiosity during Eid-ul-Adha, the second-largest Islamic festival in the city. This paper further depicts how such secularization contributes to diminishing rural-urban linkages, affecting electoral politics, and reducing the tolerance to religious celebrations in a city. Drawing from a rich body of work in critical urban studies, postcolonial computing, and sociology of religions, we explain how such oft-overlooked embedding of secularization in computing affects the religious fabrics in the urban regions of the Global South, and discuss its implication for HCI scholarship in diversity, inclusion, and development.
Title: Provocations from #vanlife: Investigating Life and Work in a Community Extensively Using Technology Not Designed for Them
Authors: family: Rizvi
given: Ali Haider; family: Morayko
given: Kateryna; family: Hancock
given: Mark; family: Song
given: Arden
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: work technology, field study, domestic technology, vanlife, domestichi

Abstract: Research on how lived experiences with technology intersect with home and work are core themes within HCI. Prior work has primarily focused on conventional life and work in Western countries. However, the unconventional is becoming conventional—several rising subcultures are coming into prominence due to socio-economic pressures, aided by social media. One example—#vanlife—is now practised by an estimated three million people in North America. #vanlife combines travel, home, and work by their occupants (vanlifers (vanlifers)) living full-time in cargo vans that they usually convert themselves into living spaces. We present a portrait of vanlifers’ current technology practices gleaned through ~200 hours of fieldwork and interviews. Following a thematic analysis of our data, we identified unique opportunities for integrating technology across culture, design, homesteading, offline organization, and gaming. We have distilled these opportunities into eleven provocations to inspire critical design and informed inquiry for technological interventions for #vanlife.
Title: Using Design Fiction Memos to Analyze UX Professionals’ Values Work Practices: A Case Study Bridging Ethnographic and Design Futuring Methods
Authors: family: Wong
given: Richmond Y.
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: ethnography, design fiction, values work, ethics, values, UX professionals, values in design, UX practice

Abstract: Multiple methods have been used to study how social values and ethics are implicated in technology design and use, including empirical qualitative studies of technologists’ work. Recently, more experimental approaches such as design fiction explore these themes through fictional worldbuilding. This paper combines these approaches by adapting design fictions as a form of memoing, a qualitative analysis technique. The paper uses design fiction memos to analyze and reflect on ethnographic interviews and observational data about how user experience (UX) professionals at large technology companies engage with values and ethical issues in their work. The design fictions help explore and articulate themes about the values work practices and relationships of power that UX professionals grapple with. Through these fictions, the paper contributes a case study showing how design fiction can be used for qualitative analysis, and provides insights into the role of organizational and power dynamics in UX professionals’ values work.
Title: Designing Ground Truth and the Social Life of Labels
Authors: family: Muller
given: Michael; family: Wolf
given: Christine T.; family: Andres
given: Josh; family: Desmond
given: Michael; family: Joshi
given: Narendra Nath; family: Ashktorab
given: Zahra; family: Sharma
given: Aabhas; family: Brimijoin
given: Kristina; family: Pan
given: Qian; family: Duesterwald
given: Evelyn; family: Dugan
given: Casey
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: human centered machine learning, Human centered data science, Critical computing

Abstract: Ground-truth labeling is an important activity in machine learning. Many studies have examined how crowdworkers apply labels to records in machine learning datasets. However, there have been few studies that have examined the work of domain experts when their knowledge and expertise are needed to apply labels. We provide a grounded account of the work of labeling teams with domain experts, including the experiences of labeling, collaborative configurations and work-practices, and quality issues. We show three major patterns in the social design of ground truth data: Principled design, Iterative design, and Improvisational design. We interpret our results through theories of from Human Centered Data Science, and particularly work on human interventions in data science work through the design and creation of data.
Title: To Live in Their Utopia: Why Algorithmic Systems Create Absurd Outcomes
Authors: family: Alkhatib
given: Ali
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: HCI, Artificial Intelligence, Street-Level Algorithms

Abstract: The promise AI’s proponents have made for decades is one in which our needs are predicted, anticipated, and met - often before we even realize it. Instead, algorithmic systems, particularly AIs trained on large datasets and deployed to massive scales, seem to keep making the wrong decisions, causing harm and rewarding absurd outcomes. Attempts to make sense of why AIs make wrong calls in the moment explain the instances of errors, but how the environment surrounding these systems precipitate those instances remains murky. This paper draws from anthropological work on bureaucracies, states, and power, translating these ideas into a theory describing the structural tendency for powerful algorithmic systems to cause tremendous harm. I show how administrative models and projections of the world create marginalization, just as algorithmic models cause representational and allocative harm. This paper concludes with a recommendation to avoid the absurdity algorithmic systems produce by denying them power.
Title: danceON: Culturally Responsive Creative Computing
Authors: family: Payne
given: William Christopher; family: Bergner
given: Yoav; family: West
given: Mary Etta; family: Charp
given: Carlie; family: Shapiro
given: R. Benjamin Benjamin; family: Szafir
given: Danielle Albers; family: Taylor
given: Edd V.; family: DesPortes
given: Kayla
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: computing education, culturally responsive pedagogy, dance, data literacy, design based research

Abstract: Dance provides unique opportunities for embodied interdisciplinary learning experiences that can be personally and culturally relevant. danceON is a system that supports learners to leverage their body movement as they engage in artistic practices across data science, computing, and dance. The technology includes a Domain Specific Language (DSL) with declarative syntax and reactive behavior, a media player with pose detection and classification, and a web-based IDE. danceON provides a low-floor allowing users to bind virtual shapes to body positions in under three lines of code, while also enabling complex, dynamic animations that users can design working with conditionals and past position data. We developed danceON to support distance learning and deployed it in two consecutive cohorts of a remote, two-week summer camp for young women of color. We present our findings from an analysis of the experience and the resulting computational performances. The work identifies implications for how design can support learners’ expression across culturally relevant themes and examines challenges from the lens of usability of the computing language and technology.
Title: RubySlippers: Supporting Content-based Voice Navigation for How-to Videos
Authors: family: Chang
given: Minsuk; family: Huh
given: Mina; family: Kim
given: Juho
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Video Navigation, Voice User Interface, How-to Videos

Abstract: Directly manipulating the timeline, such as scrubbing for thumbnails, is the standard way of controlling how-to videos. However, when how-to videos involve physical activities, people inconveniently alternate between controlling the video and performing the tasks. Adopting a voice user interface allows people to control the video with voice while performing the tasks with hands. However, naively translating timeline manipulation into voice user interfaces (VUI) results in temporal referencing (e.g. “rewind 20 seconds”), which requires a different mental model for navigation and thereby limiting users’ ability to peek into the content. We present RubySlippers, a system that supports efficient content-based voice navigation through keyword-based queries. Our computational pipeline automatically detects referenceable elements in the video, and finds the video segmentation that minimizes the number of needed navigational commands. Our evaluation (N=12) shows that participants could perform three representative navigation tasks with fewer commands and less frustration using RubySlippers than the conventional voice-enabled video interface.
Title: Soloist: Generating Mixed-Initiative Tutorials from Existing Guitar Instructional Videos Through Audio Processing
Authors: family: Wang
given: Bryan; family: Yang
given: Meng Yu; family: Grossman
given: Tovi
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Intelligent Tutoring System, Waveform Navigation, Audio Processing, Soloist, Mixed-Initiative Learning, Converting Videos to Interactive Tutorials, Music Learning, Video Learning

Abstract: Learning musical instruments using online instructional videos has become increasingly prevalent. However, pre-recorded videos lack the instantaneous feedback and personal tailoring that human tutors provide. In addition, existing video navigations are not optimized for instrument learning, making the learning experience encumbered. Guided by our formative interviews with guitar players and prior literature, we designed Soloist, a mixed-initiative learning framework that automatically generates customizable curriculums from off-the-shelf guitar video lessons. Soloist takes raw videos as input and leverages deep-learning based audio processing to extract musical information. This back-end processing is used to provide an interactive visualization to support effective video navigation and real-time feedback on the user's performance, creating a guided learning experience. We demonstrate the capabilities and specific use-cases of Soloist within the domain of learning electric guitar solos using instructional YouTube videos. A remote user study, conducted to gather feedback from guitar players, shows encouraging results as the users unanimously preferred learning with Soloist over unconverted instructional videos.
Title: Mindless Attractor: A False-Positive Resistant Intervention for Drawing Attention Using Auditory Perturbation
Authors: family: Arakawa
given: Riku; family: Yakura
given: Hiromu
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Mindless computing, Video-based learning, Human attention, Machine learning-based sensing, Computational intervention

Abstract: Explicitly alerting users is not always an optimal intervention, especially when they are not motivated to obey. For example, in video-based learning, learners who are distracted from the video would not follow an alert asking them to pay attention. Inspired by the concept of Mindless Computing, we propose a novel intervention approach, Mindless Attractor, that leverages the nature of human speech communication to help learners refocus their attention without relying on their motivation. Specifically, it perturbs the voice in the video to direct their attention without consuming their conscious awareness. Our experiments not only confirmed the validity of the proposed approach but also emphasized its advantages in combination with a machine learning-based sensing module. Namely, it would not frustrate users even though the intervention is activated by false-positive detection of their attentive state. Our intervention approach can be a reliable way to induce behavioral change in human–AI symbiosis.
Title: KTabulator: Interactive Ad hoc Table Creation using Knowledge Graphs
Authors: family: Xia
given: Siyuan; family: Anzum
given: Nafisa; family: Salihoglu
given: Semih; family: Zhao
given: Jian
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: data cleaning, Data tables, data integration, database, user interface.

Abstract: The need to find or construct tables arises routinely to accomplish many tasks in everyday life, as a table is a common format for organizing data. However, when relevant data is found on the web, it is often scattered across multiple tables on different web pages, requiring tedious manual searching and copy-pasting to collect data. We propose KTabulator, an interactive system to effectively extract, build, or extend ad hoc tables from large corpora, by leveraging their computerized structures in the form of knowledge graphs. We developed and evaluated KTabulator using Wikipedia and its knowledge graph DBpedia as our testbed. Starting from an entity or an existing table, KTabulator allows users to extend their tables by finding relevant entities, their properties, and other relevant tables, while providing meaningful suggestions and guidance. The results of a user study indicate the usefulness and efficiency of KTabulator in ad hoc table creation.
Title: MorpheesPlug: A Toolkit for Prototyping Shape-Changing Interfaces
Authors: family: Kim
given: Hyunyoung; family: Everitt
given: Aluna; family: Tejada
given: Carlos; family: Zhong
given: Mengyu; family: Ashbrook
given: Daniel
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Toolkit design, Shape-changing Interfaces

Abstract: Toolkits for shape-changing interfaces (SCIs) enable designers and researchers to easily explore the broad design space of SCIs. However, despite their utility, existing approaches are often limited in the number of shape-change features they can express. This paper introduces MorpheesPlug , a toolkit for creating SCIs that covers seven of the eleven shape-change features identified in the literature. MorpheesPlug is comprised of (1) a set of six standardized widgets that express the shape-change features with user-definable parameters; (2) software for 3D-modeling the widgets to create 3D-printable pneumatic SCIs; and (3) a hardware platform to control the widgets. To evaluate MorpheesPlug we carried out ten open-ended interviews with novice and expert designers who were asked to design a SCI using our software. Participants highlighted the ease of use and expressivity of the MorpheesPlug.
Title: Understanding Conversational and Expressive Style in a Multimodal Embodied Conversational Agent
Authors: family: Aneja
given: Deepali; family: Hoegen
given: Rens; family: McDuff
given: Daniel; family: Czerwinski
given: Mary
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: social dialogue, multi-modality, emotional expressions, Embodied agents, social behavior, facial expressive style, conversational style

Abstract: Embodied conversational agents have changed the ways we can interact with machines. However, these systems often do not meet users’ expectations. A limitation is that the agents are monotonic in behavior and do not adapt to an interlocutor. We present SIVA (a Socially Intelligent Virtual Agent), an expressive, embodied conversational agent that can recognize human behavior during open-ended conversations and automatically align its responses to the conversational and expressive style of the other party. SIVA leverages multimodal inputs to produce rich and perceptually valid responses (lip syncing and facial expressions) during the conversation. We conducted a user study (N=30) in which participants rated SIVA as being more empathetic and believable than the control (agent without style matching). Based on almost 10 hours of interaction, participants who preferred interpersonal involvement evaluated SIVA as significantly more animate than the participants who valued consideration and independence.