huashen218/convxai-cia-dataset huggingface dataset:
Title: Making Chat at Home in the Hospital: Exploring Chat Use by Nurses
Authors: family: Karusala
given: Naveena; family: Wang
given: Ding; family: O'Neill
given: Jacki
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: In this paper, we examine WhatsApp use by nurses in India. Globally, personal chat apps have taken the workplace by storm, and healthcare is no exception. In the hospital setting, this raises questions around how chat apps are integrated into hospital work and the consequences of using such personal tools for work. To address these questions, we conducted an ethnographic study of chat use in nurses' work in a large multi-specialty hospital. By examining how chat is embedded in the hospital, rather than focusing on individual use of personal tools, we throw new light on the adoption of personal tools at work — specifically what happens when such tools are adopted and used as though they were organisational tools. In doing so, we explicate their impact on invisible work [77] and the creep of work into personal time, as well as how hierarchy and power play out in technology use. Thus, we point to the importance of looking beyond individual adoption by knowledge workers when studying the impact of personal tools at work.
Title: The Politics of Privacy Theories: Moving from Norms to Vulnerabilities
Authors: family: McDonald
given: Nora; family: Forte
given: Andrea
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Privacy and surveillance are central features of public discourse around use of computing systems. As the systems we design and study are increasingly used and regulated as potential instruments of surveillance, HCI researchers-even those whose focus is not privacy-find themselves needing to understand privacy in their work. Concepts like contextual integrity and boundary regulation have become touchstones for thinking about privacy in HCI. In this paper, we draw on HCI and privacy literature to understand the limitations of commonly used theories and examine their assumptions, politics, strengths, and weaknesses. We use a case study from the HCI literature to illustrate conceptual gaps in existing frameworks where privacy requirements can fall through. Finally, we advocate vulnerability as a core concept for privacy theorizing and examine how feminist, queer-Marxist, and intersectional thinking may augment our existing repertoire of privacy theories to create a more inclusive scholarship and design practice.
Title: What is this URL's Destination? Empirical Evaluation of Users' URL Reading
Authors: family: Albakry
given: Sara; family: Vaniea
given: Kami; family: Wolters
given: Maria K.
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Common anti-phishing advice tells users to mouse over links, look at the URL, and compare to the expected destination, implicitly assuming that they are able to read the URL. To test this assumption, we conducted a survey with 1929 participants recruited from the Amazon Mechanical Turk and Prolific Academic platforms. Participants were shown 23 URLs with various URL structures. For each URL, participants were asked via a multiple choice question where the URL would lead and how safe they feel clicking on it would be. Using latent class analysis, participants were stratified by self-reported technology use. Participants were strongly biased towards answering that the URL would lead to the website of the organization whose name appeared in the URL, regardless of its position in the URL structure. The group with the highest technology use was only minorly better at URL reading.
Title: "Arseing around was Fun!"  Humor as a Resource in Design and Making
Authors: family: Iivari
given: Netta; family: Kinnula
given: Marianne; family: Kuure
given: Leena; family: Keisanen
given: Tiina
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Humor is an inevitable part of human life. Most of us are capable of experiencing and appreciating humor. From this perspective, surprisingly little HCI research can be found scrutinizing the existence, role, and potential of humor in our design practice. The gap remains also related to children and teenagers; there is a lack of studies appreciating the emergence and existence of humor in the design process without intentionally evoking it. Thus, this study examines humor as a naturally occurring phenomenon in the design process. The study was conducted in collaboration with a class of teenagers and their teachers. The study identifies various forms and functions of humor in the design process and reveals its situated, emergent nature as a resource in interaction within design. The study proposes a practical tool for designers for anticipating and potentially facilitating the emergence, forms and usages of humor as an interactional resource in design.
Title: Self-Expression by Design: Co-Designing the ExpressiBall with Minimally-Verbal Children on the Autism Spectrum
Authors: family: Wilson
given: Cara; family: Sitbon
given: Laurianne; family: Ploderer
given: Bernd; family: Opie
given: Jeremy; family: Brereton
given: Margot
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Expressing one's thoughts and feelings is a fundamental human need - the basis for communication and social interaction. We ask, how do minimally-verbal children on the autism spectrum express themselves? How can we better recognise instances of self-expression? And how might technologies support and encourage self-expression? To address these questions, we undertook co-design research at an autism-specific primary school with 20 children over one school year. This paper contributes six Modalities of Self-Expression, through which children self-express and convey their design insights. Each modality of self-expression can occur across two different dimensions (socio-expressive and auto-expressive) and can be of a fundamental or an integrative nature. Further, we contribute the design trajectory of a tangible ball prototype, the ExpressiBall, which - through voice, sounds, lights, and motion sensors - explores how tangible technologies can support this range of expressive modalities. Finally, we discuss the concept of Self-Expression by Design.
Title: DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations
Authors: family: Zhang
given: Jiayi Eris; family: Sultanum
given: Nicole; family: Bezerianos
given: Anastasia; family: Chevalier
given: Fanny
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Recent years have seen an increasing interest in the authoring and crafting of personal visualizations. Mainstream data analysis and authoring tools lack the flexibility for customization and personalization, whereas tools from the research community either require creativity and drawing skills, or are limited to simple vector graphics. We present DataQuilt, a novel system that enables visualization authors to iteratively design pictorial visualizations as collages. Real images (e.g., paintings, photographs, sketches) act as both inspiration and as a resource of visual elements that can be mapped to data. The creative pipeline involves the semi-guided extraction of relevant elements of an image (arbitrary regions, regular shapes, color palettes, textures) aided by computer vision techniques; the binding of these graphical elements and their features to data in order to create meaningful visualizations; and the iterative refinement of both features and visualizations through direct manipulation. We demonstrate the usability of DataQuilt in a controlled study and its expressiveness through a collection of authored visualizations from a second open-ended study.
Title: EYEditor: Towards On-the-Go Heads-Up Text Editing Using Voice and Manual Input
Authors: family: Ghosh
given: Debjyoti; family: Foong
given: Pin Sym; family: Zhao
given: Shengdong; family: Liu
given: Can; family: Janaka
given: Nuwan; family: Erusu
given: Vinitha
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: On-the-go text-editing is difficult, yet frequently done in everyday lives. Using smartphones for editing text forces users into a heads-down posture which can be undesirable and unsafe. We present EYEditor, a heads-up smartglass-based solution that displays the text on a see-through peripheral display and allows text-editing with voice and manual input. The choices of output modality (visual and/or audio) and content presentation were made after a controlled experiment, which showed that sentence-by-sentence visual-only presentation is best for optimizing users' editing and path-navigation capabilities. A second experiment formally evaluated EYEditor against the standard smartphone-based solution for tasks with varied editing complexities and navigation difficulties. The results showed that EYEditor outperformed smartphones as either the path OR the task became more difficult. Yet, the advantage of EYEditor became less salient when both the editing and navigation was difficult. We discuss trade-offs and insights gained for future heads-up text-editing solutions.
Title: "No powers, man!": A Student Perspective on Designing University Smart Building Interactions
Authors: family: Mitchell Finnigan
given: Samantha; family: Clear
given: Adrian K.
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Smart buildings offer an opportunity for better performance and enhanced experience by contextualising services and interactions to the needs and practices of occupants. Yet, this vision is limited by established approaches to building management, delivered top-down through professional facilities management teams, opening up an interaction-gap between occupants and the spaces they inhabit. To address the challenge of how smart buildings might be more inclusively managed, we present the results of a qualitative study with student occupants of a smart building, with design workshops including building walks and speculative futuring. We develop new understandings of how student occupants conceptualise and evaluate spaces as they experience them, and of how building management practices might evolve with new sociotechnical systems that better leverage occupant agency. Our findings point to important directions for HCI research in this nascent area, including the need for HBI (Human-Building Interaction) design to challenge entrenched roles in building management.
Title: "I Hear You, I Feel You": Encouraging Deep Self-disclosure through a Chatbot
Authors: family: Lee
given: Yi-Chieh; family: Yamashita
given: Naomi; family: Huang
given: Yun; family: Fu
given: Wai
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Chatbots have great potential to serve as a low-cost, effective tool to support people's self-disclosure. Prior work has shown that reciprocity occurs in human-machine dialog; however, whether reciprocity can be leveraged to promote and sustain deep self-disclosure over time has not been systematically studied. In this work, we design, implement and evaluate a chatbot that has self-disclosure features when it performs small talk with people. We ran a study with 47 participants and divided them into three groups to use different chatting styles of the chatbot for three weeks. We found that chatbot self-disclosure had a reciprocal effect on promoting deeper participant self-disclosure that lasted over the study period, in which the other chat styles without self-disclosure features failed to deliver. Chatbot self-disclosure also had a positive effect on improving participants' perceived intimacy and enjoyment over the study period. Finally, we reflect on the design implications of chatbots where deep self-disclosure is needed over time.
Title: CARoma Therapy: Pleasant Scents Promote Safer Driving, Better Mood, and Improved Well-Being in Angry Drivers
Authors: family: Dmitrenko
given: Dmitrijs; family: Maggioni
given: Emanuela; family: Brianza
given: Giada; family: Holthausen
given: Brittany E.; family: Walker
given: Bruce N.; family: Obrist
given: Marianna
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Driving is a task that is often affected by emotions. The effect of emotions on driving has been extensively studied. Anger is an emotion that dominates in such investigations. Despite the knowledge on strong links between scents and emotions, few studies have explored the effect of olfactory stimulation in a context of driving. Such an outcome provides HCI practitioners very little knowledge on how to design for emotions using olfactory stimulation in the car. We carried out three studies to select scents of different valence and arousal levels (i.e. rose, peppermint, and civet) and anger eliciting stimuli (i.e. affective pictures and on-road events). We used this knowledge to conduct the fourth user study investigating how the selected scents change the emotional state, well-being, and driving behaviour of drivers in an induced angry state. Our findings enable better decisions on what scents to choose when designing interactions for angry drivers.
Title: Understanding and Visualizing Data Iteration in Machine Learning
Authors: family: Hohman
given: Fred; family: Wongsuphasawat
given: Kanit; family: Kery
given: Mary Beth; family: Patel
given: Kayur
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Successful machine learning (ML) applications require iterations on both modeling and the underlying data. While prior visualization tools for ML primarily focus on modeling, our interviews with 23 ML practitioners reveal that they improve model performance frequently by iterating on their data (e.g., collecting new data, adding labels) rather than their models. We also identify common types of data iterations and associated analysis tasks and challenges. To help attribute data iterations to model performance, we design a collection of interactive visualizations and integrate them into a prototype, Chameleon, that lets users compare data features, training/testing splits, and performance across data versions. We present two case studies where developers apply \system to their own evolving datasets on production ML projects. Our interface helps them verify data collection efforts, find failure cases stretching across data versions, capture data processing changes that impacted performance, and identify opportunities for future data iterations.
Title: Is This An Ad?: Automatically Disclosing Online Endorsements On YouTube With AdIntuition
Authors: family: Swart
given: Michael; family: Lopez
given: Ylana; family: Mathur
given: Arunesh; family: Chetty
given: Marshini
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Undisclosed online endorsements on social media can be misleading to users who may not know when viewed content contains advertisements. Despite federal regulations requiring content creators to disclose online endorsements, studies suggest that less than 10% do so in practice. To overcome this issue, we need knowledge of how to best detect online endorsements, knowledge about how prevalent online endorsements are in the wild, and ways to design systems to automatically disclose advertising content to viewers. To that end, we designed, implemented, and evaluated a tool called AdIntuition which automatically discloses when YouTube videos contain affiliate marketing, a type of social media endorsement. We evaluated AdIntuition with 783 users using a survey, field deployment, and diary study. We discuss our findings and recommendations for future measurements of and tools to detect and alert users about affiliate marketing content.
Title: Unplatformed Design: A Model for Appropriating Social Media Technologies for Coordinated Participation
Authors: family: Lambton-Howard
given: Daniel; family: Olivier
given: Patrick; family: Vlachokyriakos
given: Vasilis; family: Celina
given: Hanna; family: Kharrufa
given: Ahmed
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Using existing social media technologies as a resource for design offers significant potential for sustainable and scalable ways of coordinating participation. We look at three exemplar projects in three distinct domains that have successfully coordinated participation through the configuration and augmentation of existing social media technologies: participatory future forecasting, participatory health research, and connectivist learning. In this paper we conceptualise social media technologies as material for design, that is, as the raw material with which coordinated participation is realized. From this we develop a model that proposes four material qualities of social media technologies, morphology, role, representation of activity and permeability, and point to how they can be productively employed in the design of coordination of participation.
Title: DoughNets: Visualising Networks Using Torus Wrapping
Authors: family: Chen
given: Kun-Ting; family: Dwyer
given: Tim; family: Marriott
given: Kim; family: Bach
given: Benjamin
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: We investigate visualisations of networks on a 2-dimensional torus topology, like an opened-up and flattened doughnut. That is, the network is drawn on a rectangular area while "wrapping" specific links around the border. Previous work on torus drawings of networks has been mostly theoretical, limited to certain classes of networks, and not evaluated by human readability studies. We offer a simple interactive layout approach applicable to general graphs. We use this to find layouts affording better aesthetics in terms of conventional measures like more equal edge length and fewer crossings. In two controlled user studies we find that torus layout with either additional context or interactive panning provided significant performance improvement (in terms of error and time) over torus layout without either of these improvements, to the point that it is comparable to standard non-torus layout.
Title: Addressing Cognitive and Emotional Barriers in Parent-Clinician Communication through Behavioral Visualization Webtools
Authors: family: Kong
given: Ha-Kyung; family: Karahalios
given: Karrie
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Effective communication between clinicians and parents of young children with developmental delays can decrease parents' anxiety, help them handle bad news, and improve their adherence to proposed interventions. However, parents have reported dissatisfaction regarding their current communication with clinicians, and they face cognitive and emotional challenges when discussing their child's developmental delays. In this paper, we present visualization as a facilitator of parent-clinician communication and how it could address existing communication challenges. Parents and clinicians anticipated visualization webtools would aid their communication by helping parents gain a better understanding of their child, acting as objective evidence, and highlighting the strength of the child as well as important medical concepts. In addition, visualization can act as a longitudinal record, helping parents track, explore, and share their child's developmental progress. Finally, we propose visualization as a tool to guide parents in their transition from feeling emotional and disempowered to advocating with confidence.
Title: "On Finsta, I can say 'Hail Satan'": Being Authentic but Disagreeable on Instagram
Authors: family: Taber
given: Lee; family: Whittaker
given: Steve
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: We use personality theory to compare self-presentation between multiple Instagram accounts, investigating authenticity and consistency. Many studies claim social media promote inauthentic self-presentation focused on socially desirable traits. At the same time, affordances suggest that self-presentation should be relatively consistent within one social medium. For 88 participants, we examine personality traits for 'real Instagram' ('Rinsta') versus 'fake Instagram' ('Finsta') accounts, comparing these with people's offline traits using mixed-methods. Counterintuitively, we find Finsta accounts often present socially undesirable traits. Furthermore, different accounts on the same social medium reveal quite different styles of self-presentation. Overall Finstas are more Extraverted, less Conscientious, and less Agreeable than Rinstas, although equally Neurotic as offline. Interviews indicate trait differences arise from differing audience perceptions. A large anonymous Rinsta audience promotes a carefully curated self. In contrast, a small but trusted Finsta audience can engender more authentic, but negative self-presentation. We discuss design and theory implications.
Title: Inhaling and Exhaling: How Technologies Can Perceptually Extend our Breath Awareness
Authors: family: Prpa
given: Mirjana; family: Stepanova
given: Ekaterina R.; family: Schiphorst
given: Thecla; family: Riecke
given: Bernhard E.; family: Pasquier
given: Philippe
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Attending to breath is a self-awareness practice that exists within many contemplative and reflective traditions and is recognized for its benefits to well-being. Our current technological landscape embraces a large body of systems that utilize breath data in order to foster self-awareness. This paper seeks to deepen our understanding of the design space of systems that perceptually extend breath awareness. Our contribution is twofold: (1) our analysis reveals how the underlying theoretical frameworks shape the system design and its evaluation, and (2) how system design features support perceptual extension of breath awareness. We review and critically analyze 31 breath-based interactive systems. We identify 4 theoretical frameworks and 3 design strategies for interactive systems that perceptually extend breath awareness. We reflect upon this design space from both a theoretical and system design perspective, and propose future design directions for developing systems that "listen to" breath and perceptually extend it.
Title: Reading with the Tongue: Individual Differences Affect the Perception of Ambiguous Stimuli with the BrainPort
Authors: family: Richardson
given: Mike L.; family: Lloyd-Esenkaya
given: Tayfun; family: Petrini
given: Karin; family: Proulx
given: Michael J.
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: There is an increasing interest in non-visual interfaces for HCI to take advantage of the information processing capability of the other sensory modalities. The BrainPort is a vision-to-tactile sensory substitution device that conveys information through electro-stimulation on the tongue. As the tongue is a horizontal surface, it makes for an interesting platform to study the brain's representation of space. But which way is up on the tongue? We provided participants with perceptually ambiguous stimuli and measured how often different perspectives were adopted; furthermore, whether camera orientation and gender had an effect. Additionally, we examined whether personality (trait extraversion and openness) could predict the perspective taken. We found that self-centered perspectives were predominantly adopted, and that trait openness may predict perspective. This research demonstrates how individual differences can affect the usability of sensory substitution devices, and highlights the need for flexible and customisable interfaces.