huashen218/convxai-cia-dataset huggingface dataset:
Title: Everyday Experiences: Small Stories and Mental Illness on Instagram
Authors: family: Feuston
given: Jessica L.; family: Piper
given: Anne Marie
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: mental illness, instagram, small stories research, social media, social control

Abstract: Despite historical precedence and modern prevalence, mental illness and associated disorders are frequently aligned with notions of deviance and, by association, abnormality. The view that mental illness deviates from an implicit social norm permeates the CHI community, impacting how scholars approach research in this space. In this paper, we challenge community and societal norms aligning mental illness with deviance. We combine semi-structured interviews with digital ethnography of public Instagram accounts to examine how Instagram users express mental illness. Drawing on small stories research, we find that individuals situate mental illness within their everyday lives and negotiate their tellings of experience due to the influence of various social control structures. We discuss implications for incorporating 'the everyday' into the design of technological solutions for marginalized communities and the ways in which researchers and designers may inadvertently perpetuate and instantiate stigma related to mental illness.
Title: Blockchain Assemblages: Whiteboxing Technology and Transforming Infrastructural Imaginaries
Authors: family: Jabbar
given: Karim; family: Bjørn
given: Pernille
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: embeddedness, renewable energy, cryptocurrency, sociomaterial, entrepreneurship, assemblages, information infrastructures, blockchain

Abstract: In this paper we unpack empirical data from two domains within the Blockchain information infrastructure: The cryptocurrency trading domain, and the energy domain. Through these accounts we introduce the relational concepts of Blockchain Assemblages and Whiteboxing. Blockchain assemblages comprise configurations of digital and analogue artefacts that are entangled with imaginaries about the current and future state of the Blockchain information infrastructure. Rather than being a black box, Blockchain assemblages alternate between being dynamic and stable entities. We propose Whiteboxing as the sociomaterial process which drives blockchain assemblages in their dynamic state to be (re)configured, while related artefacts and imaginaries are simultaneously transformed, creating dynamic representations. Whiteboxing is triggered during disconfirming events when representations are discovered as problematic. Complementing existing historical accounts demonstrating technologies in the making, the contribution of this paper, proposes whiteboxing as an analytical concept which allows us to unpack how contemporary technologies are created through entrepreneurial activities.
Title: Who's In Control? Interactions In Multi-User Smart Homes
Authors: family: Geeng
given: Christine; family: Roesner
given: Franziska
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: qualitative study, smart home, multi-user, experience sampling, privacy, user experience

Abstract: Adoption of commercial smart home devices is rapidly increasing, allowing in-situ research in people's homes. As these technologies are deployed in shared spaces, we seek to understand interactions among multiple people and devices in a smart home. We conducted a mixed-methods study with 18 participants (primarily people who drive smart device adoption in their homes) living in multi-user smart homes, combining semi-structured interviews and experience sampling. Our findings surface tensions and cooperation among users in several phases of smart device use: device selection and installation, ordinary use, when the smart home does not work as expected, and over longer term use. We observe an outsized role of the person who installs devices in terms of selecting, controlling, and fixing them; negotiations between parents and children; and minimally voiced privacy concerns among co-occupants, possibly due to participant sampling. We make design recommendations for supporting long-term smart homes and non-expert household members.
Title: GameViews: Understanding and Supporting Data-driven Sports Storytelling
Authors: family: Zhi
given: Qiyu; family: Lin
given: Suwen; family: Talkad Sukumar
given: Poorna; family: Metoyer
given: Ronald
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: sports data visualization, user interface, storytelling

Abstract: Various stakeholders in the sports domain rely on the analysis and presentation of sports data to derive insights. In particular, sportswriters construct game stories using statistical information; fans share their viewpoints based on the real-time stats while watching the game. In this paper, we explore how these stakeholders construct data-driven sports stories. We began by observing a sportswriter, then analyzed published sports stories, and characterized 1500 fan comments about particular sporting events. We found that their story needs were similar in some respects while quite different in others. Based on the findings, we implemented two exploratory prototypes: GameViews-Writers for sportswriters to quickly extract key game information and GameViews-Fans to support a real-time data-driven game-viewing experience for fans. We report insights from two user studies conducted with four professional sportswriters and eight sports fans, respectively. We discuss the results of these studies and present several avenues for future work.
Title: Managing Messes in Computational Notebooks
Authors: family: Head
given: Andrew; family: Hohman
given: Fred; family: Barik
given: Titus; family: Drucker
given: Steven M.; family: DeLine
given: Robert
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: inconsistency, messes, program slicing, clutter, code history, computational notebooks, exploratory programming

Abstract: Data analysts use computational notebooks to write code for analyzing and visualizing data. Notebooks help analysts iteratively write analysis code by letting them interleave code with output, and selectively execute cells. However, as analysis progresses, analysts leave behind old code and outputs, and overwrite important code, producing cluttered and inconsistent notebooks. This paper introduces code gathering tools, extensions to computational notebooks that help analysts find, clean, recover, and compare versions of code in cluttered, inconsistent notebooks. The tools archive all versions of code outputs, allowing analysts to review these versions and recover the subsets of code that produced them. These subsets can serve as succinct summaries of analysis activity or starting points for new analyses. In a qualitative usability study, 12 professional analysts found the tools useful for cleaning notebooks and writing analysis code, and discovered new ways to use them, like generating personal documentation and lightweight versioning.
Title: Nurturing Constructive Disagreement - Agonistic Design with Neurodiverse Children
Authors: family: Frauenberger
given: Christopher; family: Spiel
given: Katta; family: Scheepmaker
given: Laura; family: Posch
given: Irene
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: agonistic design, participatory design, children

Abstract: Participatory design (PD) with heterogeneous groups poses particular challenges, requiring spaces in which different agendas or visions can be negotiated. In this paper we report on our PD work with two groups of neurodiverse children to design technologies that support co-located, social play. The heterogeneity in the groups in terms of abilities, conceptions of play, motivations to be involved and individual preferences has challenged us to think of the design process and its outcomes as spaces for continuous negotiation. Drawing on the notion of agonistic PD, we sought not to necessarily reconcile all views, but foster constructive disagreement as a resource for and possible outcome of design. Using our project work as a case study, we report on controversies, big and small, and how they manifested themselves in the processes and outcomes. Reflecting on our experiences, we discuss possible implications on the notion of democratising technology innovation.
Title: An Exploratory Study of the Use of Drones for Assisting Firefighters During Emergency Situations
Authors: family: Khan
given: Md. Nafiz Hasan; family: Neustaedter
given: Carman
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: surveillance, drone, firefighters, emergency calling

Abstract: In the near future, emergency services within Canada will be supporting new technologies for 9-1-1 call centres and firefighters to learn about an emergency situation. One such technology is drones. To understand the benefits and challenges of using drones within emergency response, we conducted a study with citizens who have called 9-1-1 and firefighters who respond to a range of everyday emergencies. Our results show that drones have numerous benefits to both firefighters and 9-1-1 callers which include context awareness and social support for callers who receive feelings of assurance that help is on the way. Privacy was largely not an issue, though safety issues arose especially for complex uses of drones such as indoor flying. Our results point to opportunities for designing drone systems that help people to develop a sense of trust with emergency response drones, and mitigate privacy and safety concerns with more complex drone systems.
Title: PickCells: A Physically Reconfigurable Cell-composed Touchscreen
Authors: family: Goguey
given: Alix; family: Steer
given: Cameron; family: Lucero
given: Andrés; family: Nigay
given: Laurence; family: Sahoo
given: Deepak Ranjan; family: Coutrix
given: Céline; family: Roudaut
given: Anne; family: Subramanian
given: Sriram; family: Tokuda
given: Yutaka; family: Neate
given: Timothy; family: Pearson
given: Jennifer; family: Robinson
given: Simon; family: Jones
given: Matt
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: touchscreen, interface, modular, shape changing

Abstract: Touchscreens are the predominant medium for interactions with digital services; however, their current fixed form factor narrows the scope for rich physical interactions by limiting interaction possibilities to a single, planar surface. In this paper we introduce the concept of PickCells, a fully re-configurable device concept composed of cells, that breaks the mould of rigid screens and explores a modular system that affords rich sets of tangible interactions and novel across-device relationships. Through a series of co-design activities -- involving HCI experts and potential end-users of such systems -- we synthesised a design space aimed at inspiring future research, giving researchers and designers a framework in which to explore modular screen interactions. The design space we propose unifies existing works on modular touch surfaces under a general framework and broadens horizons by opening up unexplored spaces providing new interaction possibilities. In this paper, we present the PickCells concept, a design space of modular touch surfaces, and propose a toolkit for quick scenario prototyping.
Title: Active Edge: Designing Squeeze Gestures for the Google Pixel 2
Authors: family: Quinn
given: Philip; family: Lee
given: Seungyon Claire; family: Barnhart
given: Melissa; family: Zhai
given: Shumin
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: grasp sensing, mobile gestures, squeeze interaction

Abstract: Active Edge is a feature of Google Pixel 2 smartphone devices that creates a force-sensitive interaction surface along their sides, allowing users to perform gestures by holding and squeezing their device. Supported by strain gauge elements adhered to the inner sidewalls of the device chassis, these gestures can be more natural and ergonomic than on-screen (touch) counterparts. Developing these interactions is an integration of several components: (1) an insight and understanding of the user experiences that benefit from squeeze gestures; (2) hardware with the sensitivity and reliability to sense a user's squeeze in any operating environment; (3) a gesture design that discriminates intentional squeezes from innocuous handling; and (4) an interaction design to promote a discoverable and satisfying user experience. This paper describes the design and evaluation of Active Edge in these areas as part of the product's development and engineering.
Title: Clench Interface: Novel Biting Input Techniques
Authors: family: Xu
given: Xuhai; family: Yu
given: Chun; family: Dey
given: Anind K.; family: Mankoff
given: Jennifer
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: design space, clench force control, clench interface

Abstract: People eat every day and biting is one of the most fundamental and natural actions that they perform on a daily basis. Existing work has explored tooth click location and jaw movement as input techniques, however clenching has the potential to add control to this input channel. We propose clench interaction that leverages clenching as an actively controlled physiological signal that can facilitate interactions. We conducted a user study to investigate users' ability to control their clench force. We found that users can easily discriminate three force levels, and that they can quickly confirm actions by unclenching (quick release). We developed a design space for clench interaction based on the results and investigated the usability of the clench interface. Participants preferred the clench over baselines and indicated a willingness to use clench-based interactions. This novel technique can provide an additional input method in cases where users' eyes or hands are busy, augment immersive experiences such as virtual/augmented reality, and assist individuals with disabilities.
Title: Interferi: Gesture Sensing using On-Body Acoustic Interferometry
Authors: family: Iravantchi
given: Yasha; family: Zhang
given: Yang; family: Bernitsas
given: Evi; family: Goel
given: Mayank; family: Harrison
given: Chris
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: face gesture, interaction techniques, hand gesture, wearables, acoustic interferometry, biosensing, acoustic, hand input

Abstract: Interferi is an on-body gesture sensing technique using acoustic interferometry. We use ultrasonic transducers resting on the skin to create acoustic interference patterns inside the wearer's body, which interact with anatomical features in complex, yet characteristic ways. We focus on two areas of the body with great expressive power: the hands and face. For each, we built and tested a series of worn sensor configurations, which we used to identify useful transducer arrangements and machine learning fea-tures. We created final prototypes for the hand and face, which our study results show can support eleven- and nine-class gestures sets at 93.4% and 89.0% accuracy, re-spectively. We also evaluated our system in four continu-ous tracking tasks, including smile intensity and weight estimation, which never exceed 9.5% error. We believe these results show great promise and illuminate an inter-esting sensing technique for HCI applications.
Title: Cultivating Care through Ambiguity: Lessons from a Service Learning Course
Authors: family: Sabie
given: Samar; family: Parikh
given: Tapan
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: service learning, relationality, community engagement, care

Abstract: Given the focus of professional graduate ICT programs on technical and managerial skills, pedagogical engagement with external organizations tends to be transactional and artifact-centered. This inhibits the students' ability to understand social, technical and ethical issues in context, or to develop affective relationships with users and other stakeholders. To address this, we designed a service learning course that partnered students with non-profit organizations to help with their technology challenges. The service project was deliberately left open-ended to force students (and partners) to tackle important questions around project scoping and impact. By drawing parallels to soil care practices, we explore how "care time" emerged in this context, and how the incorporation of ambiguity galvanized students, community, and faculty to make time to navigate it. This led to non-tangible yet vital outcomes such as overcoming social limitations, building symbiotic relationships, and enacting acts of care necessary for more ethical orchestration of technology.
Title: "Beautiful Seams": Strategic Revelations and Concealments
Authors: family: Inman
given: Sarah; family: Ribes
given: David
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: ubiquitous computing, temporality, seamful and seamless design, infrastructure

Abstract: This paper tracks a debate that occurred, first, within the field of Ubiquitous Computing but quickly spread to CHI and beyond, in which design scholars argued that seamlessness had long been an implicit and privileged design virtue, often at the expense of seamfulness. Seamless design emphasizes clarity, simplicity, ease of use, and consistency to facilitate technological interaction. Seamful design emphasizes configurability, user appropriation, and revelation of complexity, ambiguity or inconsistency. Here we review these literatures together and argue that, rather than rival approaches, seamful and seamless design are complements, each emphasizing different aspects of downstream user agency. Ultimately, we situate this debate within the larger, perennial discussion about the strategic revelation and concealment of human and technological operations, and therein the role of design.
Title: Understanding the Effect of Accuracy on Trust in Machine Learning Models
Authors: family: Yin
given: Ming; family: Wortman Vaughan
given: Jennifer; family: Wallach
given: Hanna
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: machine learning, trust, human-subject experiments

Abstract: We address a relatively under-explored aspect of human-computer interaction: people's abilities to understand the relationship between a machine learning model's stated performance on held-out data and its expected performance post deployment. We conduct large-scale, randomized human-subject experiments to examine whether laypeople's trust in a model, measured in terms of both the frequency with which they revise their predictions to match those of the model and their self-reported levels of trust in the model, varies depending on the model's stated accuracy on held-out data and on its observed accuracy in practice. We find that people's trust in a model is affected by both its stated accuracy and its observed accuracy, and that the effect of stated accuracy can change depending on the observed accuracy. Our work relates to recent research on interpretable machine learning, but moves beyond the typical focus on model internals, exploring a different component of the machine learning pipeline.
Title: Engaging Gentrification as a Social Justice Issue in HCI
Authors: family: Corbett
given: Eric; family: Loukissas
given: Yanni
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: social justice, gentrification, design

Abstract: Gentrification-the spatial expression of economic inequality-is fundamentally a matter of social justice. Yet, even as work outside of HCI has begun to discuss how computing can enable or challenge gentrification, HCI's growing social justice agenda has not engaged with this issue. This omission creates an opportunity for HCI to develop a research and design agenda at the intersection of computing, social justice, and gentrification. We begin this work by outlining existing scholarship describing how the consumption side dynamics of gentrification are mediated by contemporary socio-technical systems. Subsequently, we build on the social justice framework introduced by Dombrowski, Harmon, and Fox to discuss how HCI may resist or counter such forces. We offer six modes of research that HCI scholars can pursue to engage gentrification.
Title: Exploring Virtual Agents for Augmented Reality
Authors: family: Wang
given: Isaac; family: Smith
given: Jesse; family: Ruiz
given: Jaime
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: embodied conversational agents, augmented reality

Abstract: Prior work has shown that embodiment can benefit virtual agents, such as increasing rapport and conveying non-verbal information. However, it is unclear if users prefer an embodied to a speech-only agent for augmented reality (AR) headsets that are designed to assist users in completing real-world tasks. We conducted a study to examine users' perceptions and behaviors when interacting with virtual agents in AR. We asked 24 adults to wear the Microsoft HoloLens and find objects in a hidden object game while interacting with an agent that would offer assistance. We presented participants with four different agents: voice-only, non-human, full-size embodied, and a miniature embodied agent. Overall, users preferred the miniature embodied agent due to the novelty of his size and reduced uncanniness as opposed to the larger agent. From our results, we draw conclusions about how agent representation matters and derive guidelines on designing agents for AR headsets.
Title: Privacy, Power, and Invisible Labor on Amazon Mechanical Turk
Authors: family: Sannon
given: Shruti; family: Cosley
given: Dan
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: privacy, invisible labor, crowdsourcing, mturk

Abstract: Tasks on crowdsourcing platforms such as Amazon Mechanical Turk often request workers' personal information, raising privacy risks that may be exacerbated by requester-worker power dynamics. We interviewed 14 workers to understand how they navigate these risks. We found that Turkers' decisions to provide personal information during tasks were based on evaluations of the pay rate, the requester, the purpose, and the perceived sensitivity of the request. Participants also engaged in multiple privacy-protective behaviors, such as abandoning tasks or providing inaccurate data, though there were costs associated with these behaviors, such as wasted time and risk of rejection. Finally, their privacy concerns and practices evolved as they learned about both the platform and worker-designed tools and forums. These findings deepen our understanding of both privacy decision-making and invisible labor in paid crowdsourcing, and emphasize a general need to understand how privacy stances change over time.