huashen218/convxai-cia-dataset huggingface dataset:
Title: FaceHaptics: Robot Arm based Versatile Facial Haptics for Immersive Environments
Authors: family: Wilberz
given: Alexander; family: Leschtschow
given: Dominik; family: Trepkowski
given: Christina; family: Maiero
given: Jens; family: Kruijff
given: Ernst; family: Riecke
given: Bernhard
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: This paper introduces FaceHaptics, a novel haptic display based on a robot arm attached to a head-mounted virtual reality display. It provides localized, multi-directional and movable haptic cues in the form of wind, warmth, moving and single-point touch events and water spray to dedicated parts of the face not covered by the head-mounted display.The easily extensible system, however, can principally mount any type of compact haptic actuator or object. User study 1 showed that users appreciate the directional resolution of cues, and can judge wind direction well, especially when they move their head and wind direction is adjusted dynamically to compensate for head rotations. Study 2 showed that adding FaceHaptics cues to a VR walkthrough can significantly improve user experience, presence, and emotional responses.
Title: Social Comparison and Facebook: Feedback, Positivity, and Opportunities for Comparison
Authors: family: Burke
given: Moira; family: Cheng
given: Justin; family: de Gant
given: Bethany
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: People compare themselves to one another both offline and online. The specific online activities that worsen social comparison are partly understood, though much existing research relies on people recalling their own online activities post hoc and is situated in only a few countries. To better understand social comparison worldwide and the range of associated behaviors on social media, a survey of 38,000 people from 18 countries was paired with logged activity on Facebook for the prior month. People who reported more frequent social comparison spent more time on Facebook, had more friends, and saw proportionally more social content on the site. They also saw greater amounts of feedback on friends' posts and proportionally more positivity. There was no evidence that social comparison happened more with acquaintances than close friends. One in five respondents recalled recently seeing a post that made them feel worse about themselves but reported conflicting views: half wished they hadn't seen the post, while a third felt very happy for the poster. Design opportunities are discussed, including hiding feedback counts, filters for topics and people, and supporting meaningful interactions, so that when comparisons do occur, people are less affected by them.
Title: KeyMap: Improving Keyboard Shortcut Vocabulary Using Norman's Mapping
Authors: family: Lewis
given: Blaine; family: d'Eon
given: Greg; family: Cockburn
given: Andy; family: Vogel
given: Daniel
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: We introduce a new shortcut interface called KeyMap that is designed to leverage Norman's principle of natural mapping. Rather than displaying shortcut command labels in linear menus, KeyMap displays a virtual keyboard with command labels displayed directly on its keys. A crowdsourced experiment compares KeyMap to Malacria et al.'s ExposeHK using an extension of their protocol to also test recall. Results show KeyMap users remembered 1 more shortcut than ExposeHK immediately after training, and this advantage increased to 4.5 more shortcuts when tested again after 24 hours. KeyMap users also incidentally learned more shortcuts that they had never practised. We demonstrate how KeyMap can be added to existing web-based applications using a Chrome extension.
Title: A Longitudinal Video Study on Communicating Status and Intent for Self-Driving Vehicle  Pedestrian Interaction
Authors: family: Faas
given: Stefanie M.; family: Kao
given: Andrea C.; family: Baumann
given: Martin
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: With self-driving vehicles (SDVs), pedestrians cannot rely on communication with the driver anymore. Industry experts and policymakers are proposing an external Human-Machine Interface (eHMI) communicating the automated status. We investigated whether additionally communicating SDVs' intent to give right of way further improves pedestrians' street crossing. To evaluate the stability of these eHMI effects, we conducted a three-session video study with N=34 pedestrians where we assessed subjective evaluations and crossing onset times. This is the first work capturing long-term effects of eHMIs. Our findings add credibility to prior studies by showing that eHMI effects last (acceptance, user experience) or even increase (crossing onset, perceived safety, trust, learnability, reliance) with time. We found that pedestrians benefit from an eHMI communicating SDVs' status, and that additionally communicating SDVs' intent adds further value. We conclude that SDVs should be equipped with an eHMI communicating both status and intent.
Title: Debugging Database Queries: A Survey of Tools, Techniques, and Users
Authors: family: Gathani
given: Sneha; family: Lim
given: Peter; family: Battle
given: Leilani
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Database management systems (or DBMSs) have been around for decades, and yet are still difficult to use, particularly when trying to identify and fix errors in user programs (or queries). We seek to understand what methods have been proposed to help people debug database queries, and whether these techniques have ultimately been adopted by DBMSs (and users). We conducted an interdisciplinary review of 112 papers and tools from the database, visualisation and HCI communities. To better understand whether academic and industry approaches are meeting the needs of users, we interviewed 20 database users (and some designers), and found surprising results. In particular, there seems to be a wide gulf between users' debugging strategies and the functionality implemented in existing DBMSs, as well as proposed in the literature. In response, we propose new design guidelines to help system designers to build features that more closely match users debugging strategies.
Title: FamilyStories: Asynchronous Audio Storytelling for Family Members Across Time Zones
Authors: family: Heshmat
given: Yasamin; family: Neustaedter
given: Carman; family: McCaffrey
given: Kyle; family: Odom
given: William; family: Wakkary
given: Ron; family: Yang
given: Zikun
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Family members who are separated across time zones can easily miss out on feeling connected. We designed and studied the usage of an asynchronous storytelling system, called FamilyStories, to explore the use of audio-based sharing. FamilyStories allows family members to share activities and experiences over distance in different time zones using three different devices that contain different contextual features. To evaluate the design, we conducted a five-week long field study with two family member pairs. Our results show the value of slow, flexible, and non-suggestive interfaces for asynchronous audio communication. We also found ephemerality helped in the sharing of 'instant' feelings, while large time zone differences could be 'synchronized' with time delayed messages. We raise these as design opportunities for asynchronous audio storytelling systems.
Title: Detecting Gender Stereotypes: Lexicon vs. Supervised Learning Methods
Authors: family: Cryan
given: Jenna; family: Tang
given: Shiliang; family: Zhang
given: Xinyi; family: Metzger
given: Miriam; family: Zheng
given: Haitao; family: Zhao
given: Ben Y.
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Biases in language influence how we interact with each other and society at large. Language affirming gender stereotypes is often observed in various contexts today, from recommendation letters and Wikipedia entries to fiction novels and movie dialogue. Yet to date, there is little agreement on the methodology to quantify gender stereotypes in natural language (specifically the English language). Common methodology (including those adopted by companies tasked with detecting gender bias) rely on a lexicon approach largely based on the original BSRI study from 1974.In this paper, we reexamine the role of gender stereotype detection in the context of modern tools, by comparatively analyzing efficacy of lexicon-based approaches and end-to-end, ML-based approaches prevalent in state-of-the-art natural language processing systems. Our efforts using a large dataset show that even compared to an updated lexicon-based approach, end-to-end classification approaches are significantly more robust and accurate, even when trained by moderately sized corpora.
Title: Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR
Authors: family: Henrikson
given: Rorik; family: Grossman
given: Tovi; family: Trowbridge
given: Sean; family: Wigdor
given: Daniel; family: Benko
given: Hrvoje
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: This paper presents a new technique to predict the ray pointer landing position for selection movements in virtual reality (VR) environments. The technique adapts and extends a prior 2D kinematic template matching method to VR environments where ray pointers are used for selection. It builds on the insight that the kinematics of a controller and Head-Mounted Display (HMD) can be used to predict the ray's final landing position and angle. An initial study provides evidence that the motion of the head is a key input channel for improving prediction models. A second study validates this technique across a continuous range of distances, angles, and target sizes. On average, the technique's predictions were within 7.3° of the true landing position when 50% of the way through the movement and within 3.4° when 90%. Furthermore, compared to a direct extension of Kinematic Template Matching, which only uses controller movement, this head-coupled approach increases prediction accuracy by a factor of 1.8x when 40% of the way through the movement.
Title: CreaTable Content and Tangible Interaction in Aphasia
Authors: family: Neate
given: Timothy; family: Roper
given: Abi; family: Wilson
given: Stephanie; family: Marshall
given: Jane; family: Cruice
given: Madeline
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Multimedia digital content (combining pictures, text and music) is ubiquitous. The process of creating such content using existing tools typically requires complex, language-laden interactions which pose a challenge for users with aphasia (a language impairment following brain injury). Tangible interactions offer a potential means to address this challenge, however, there has been little work exploring their potential for this purpose. In this paper, we present CreaTable a platform that enables us to explore tangible interaction as a means of supporting digital content creation for people with aphasia. We report details of the co-design of CreaTable and findings from a digital creativity workshop. Workshop findings indicated that CreaTable enabled people with aphasia to create something they would not otherwise have been able to. We report how users' aphasia profiles affected their experience, describe tensions in collaborative content creation and provide insight into more accessible content creation using tangibles.
Title: Touch me Gently: Recreating the Perception of Touch using a Shape-Memory Alloy Matrix
Authors: family: Muthukumarana
given: Sachith; family: Elvitigala
given: Don Samitha; family: Forero Cortes
given: Juan Pablo; family: Matthies
given: Denys J.C.; family: Nanayakkara
given: Suranga
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: We present a wearable forearm augmentation that enables the recreation of natural touch sensation by applying shear-forces onto the skin. In contrast to previous approaches, we arrange light-weight and stretchable 3x3cm plasters in a matrix onto the skin. Individual plasters were embedded with lines of shape-memory alloy (SMA) wires to generate shear-forces. Our design is informed by a series of studies investigating the perceptibility of different sizes, spacings, and attachments of plasters on the forearm. Our matrix arrangement enables the perception of touches, for instance, feeling ones wrist being grabbed or the arm being stroked. Users rated the recreated touch sensations as being fairly similar to a real touch (4.1/5). Even without a visual representation, users were able to correctly distinguish them with an overall accuracy of 94.75%. Finally, we explored two use cases showing how AR and VR could be empowered with experiencing recreated touch sensations on the forearm.
Title: Giving Voice to Silent Data: Designing with Personal Music Listening History
Authors: family: Wirfs-Brock
given: Jordan; family: Mennicken
given: Sarah; family: Thom
given: Jennifer
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Music streaming services collect listener data to support personalization and discovery of their extensive catalogs. Yet this data is typically used in ways that are not immediately apparent to listeners. We conducted design workshops with ten Spotify listeners to imagine future voice assistant (VA) interactions leveraging logged music data. We provided participants with detailed personal music listening data, such as play-counts and temporal patterns, which grounded their design ideas in their current behaviors. In the interactions participants designed, VAs did not simply speak their data out loud; instead, participants envisioned how data could implicitly support introspection, behavior change, and exploration. We present reflections on how VAs could evolve from voice-activated remote controls to intelligent music coaches and how personal data can be leveraged as a design resource.
Title: Projection Boxes: On-the-fly Reconfigurable Visualization for Live Programming
Authors: family: Lerner
given: Sorin
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Live programming is a regime in which the programming environment provides continual feedback, most often in the form of runtime values. In this paper, we present Projection Boxes, a novel visualization technique for displaying runtime values of programs. The key idea behind projection boxes is to start with a full semantics of the program, and then use projections to pick a subset of the semantics to display. By varying the projection used, projection boxes can encode both previously known visualization techniques, and also new ones. As such, projection boxes provide an expressive and configurable framework for displaying runtime information. Through a user study we demonstrate that (1) users find projection boxes and their configurability useful (2) users are not distracted by the always-on visualization (3) a key driving force behind the need for a configurable visualization for live programming lies with the wide variation in programmer preferences.
Title: When Design Novices and LEGO® Meet: Stimulating Creative Thinking for Interface Design
Authors: family: Bourdeau
given: Simon; family: Lesage
given: Annemarie; family: Couturier Caron
given: Béatrice; family: Léger
given: Pierre-Majorique
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Design thinking is an iterative, human-centered approach to innovation. Its success rests on collaboration within a multidisciplinary project team going through cycles of divergent and convergent ideations. In these teams, nondesigners risk diminishing the divergent reach because they are generally reluctant to sketch, thus missing out on theambiguous, imprecise early conceptual divergent phases. We hypothesized that LEGO® could advantageously be a substitute to sketching. In this comparative study, 44 nondesigners randomly paired in 22 dyads did two conceptual ideations of healthcare landing pages, one using pen/paper (spontaneously writing words on sticky notes) and the other using LEGO, assessed through Torrance and Guilford frameworks for divergent thinking. Results show that LEGO interfaces gathered significantly higher divergent thinking scores because their concepts were significantly more elaborated. Furthermore, when using LEGO, teams who generated more elements were likely to also generate more ideas, more categories of ideas and more original ideas.
Title: Framing Effects Influence Interface Feature Decisions
Authors: family: Cockburn
given: Andy; family: Lewis
given: Blaine; family: Quinn
given: Philip; family: Gutwin
given: Carl
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Studies in psychology have shown that framing effects, where the positive or negative attributes of logically equivalent choices are emphasised, influence people's decisions. When outcomes are uncertain, framing effects also induce patterns of choice reversal, where decisions tend to be risk averse when gains are emphasised and risk seeking when losses are emphasised. Studies of these effects typically use potent framing stimuli, such as the mortality of people suffering from diseases or personal financial standing. We examine whether these effects arise in users' decisions about interface features, which typically have less visceral consequences, using a crowd-sourced study based on snap-to-grid drag-and-drop tasks (n = 842). The study examined several framing conditions: those similar to prior psychological research, and those similar to typical interaction choices (enabling/disabling features). Results indicate that attribute framing strongly influences users' decisions, that these decisions conform to patterns of risk seeking for losses, and that patterns of choice reversal occur.
Title: "'More gay' fits in better": Intracommunity Power Dynamics and Harms in Online LGBTQ+ Spaces
Authors: family: Walker
given: Ashley Marie; family: DeVito
given: Michael A.
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Online spaces play crucial roles in the lives of most LGBTQ+ people, but can also replicate and exacerbate existing intracommunity tensions and power dynamics, potentially harming subgroups within this marginalized community. Using qualitative probes and interviews, we engaged a diverse group of 25 bi+ (attracted to more than one gender) people to explore these dynamics. We identify two types of intracommunity conflict that bi+ users face (validity and normative conflicts), and a resulting set of what we call latent harms, or coping strategies for dealing with conflict that have delayed negative psychological effects for bi+ users. Using intersectionality as a sensitizing concept to understand shifting power dynamics embedded in sociotechnical contexts, we discuss challenges for future design work including the need to account for intracommunity dynamics within marginalized groups and the utility of disentangling conflict from harm.
Title: Towards A Taxonomy of Content Sensitivity and Sharing Preferences for Photos
Authors: family: Li
given: Yifang; family: Vishwamitra
given: Nishant; family: Hu
given: Hongxin; family: Caine
given: Kelly
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Determining which photos are sensitive is difficult. Although emerging computer vision systems can label content items, previous attempts to distinguish private or sensitive content fall short. There is no human-centered taxonomy that describes what content is sensitive or how sharing preferences for content differs across recipients. To fill this gap, we introduce a new sensitive content elicitation method which surmounts limitations of previous approaches, and, using this new method, collected sensitive content from 116 participants. We also recorded participants' sharing preferences with 20 recipient groups. Next, we conducted a card sort to surface user-defined categories of sensitive content. Using data from these studies, we generated a taxonomy that identifies 28 categories of sensitive content. We also establish how sharing preferences for content differs across groups of recipients. This taxonomy can serve as a framework for understanding photo privacy, which can, in turn, inform new photo privacy protection mechanisms.
Title: E-scooters on the Ground: Lessons for Redesigning Urban Micro-Mobility
Authors: family: Tuncer
given: Sylvaine; family: Brown
given: Barry
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: The worldwide deployment of rental electric scooters has generated new opportunities for urban mobility, but also intensified conflict over public space. This article reports on an ethnographic study of both rental and privately-owned e-scooters, mapping out the main problems and potentials around this new form of 'micro-mobility'. While it suffers from problems of reliability and conflict, user experience is an important part of e-scooters' appeal, an enjoyable way of 'hacking the city'. E-scooters have a hybrid character: weaving through the city, riders can switch between riding as a pedestrian, a car or a bicycle. Building on these results, we discuss how e-scooters, ridesharing services, and their apps could develop further, alongside the role for HCI in re-thinking urban transport and vehicle design.
Title: GridAlert: Using a Sensor-Based Technology to Monitor Power Blackouts in Kenyan Homes
Authors: family: Chidziwisano
given: George Hope; family: Wyche
given: Susan; family: Oduor
given: Erick
Venue: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

Abstract: Power blackouts (outages) are a common occurrence in Kenyan households. They affect people's livelihoods, and damage their property (household electrical items). We explore the role of GridAlert-a sensor-based technology we designed-in monitoring power blackouts. We worked with local technicians to design GridAlert's housing and integrate GridAlert with Kenya's electricity infrastructure. Then, we used interview, observation, diary, and data logging methods to understand 18 households' experiences using the system. Our findings provide insights for using sensor-based technology to monitor power usage and blackouts in Kenyan households. We also present participants' thoughts about GridAlert's housing, and about how it influenced their actions when using the system. We use these findings to discuss design insights for power monitoring systems, and to offer new perspectives on the role of technology in monitoring blackouts in Kenyan households.