huashen218/convxai-cia-dataset huggingface dataset:
Title: ThinkActive: Designing for Pseudonymous Activity Tracking in the Classroom
Authors: family: Garbett
given: Andrew; family: Chatting
given: David; family: Wilkinson
given: Gerard; family: Lee
given: Clement; family: Kharrufa
given: Ahmed
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: personal informatics, classroom, pseudonymous, education

Abstract: We report on the design of ThinkActive - a system to encourage primary aged school children to reflect on their own personal activity data in the classroom. We deployed the system with a cohort of 30 school children, over a six-week period, in partnership with an English Premier League Football club's health and nutrition programme. The system utilizes inexpensive activity trackers and pseudonymous avatars to promote reflection with personal data using an in-situ display within the classroom. Our design explores pseudonymity as an approach to managing privacy and personal data within a public setting. We report on the motivations, challenges, and opportunities for students, teachers, and third-party providers to engage in the collection and sharing of activity data with primary school children.
Title: Gender Recognition or Gender Reductionism? The Social Implications of Embedded Gender Recognition Systems
Authors: family: Hamidi
given: Foad; family: Scheuerman
given: Morgan Klaus; family: Branham
given: Stacy M.
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: user-centered design, autonomy, gender identity, automatic gender recognition, transgender

Abstract: Automatic Gender Recognition (AGR) refers to various computational methods that aim to identify an individual's gender by extracting and analyzing features from images, video, and/or audio. Applications of AGR are increasingly being explored in domains such as security, marketing, and social robotics. However, little is known about stakeholders' perceptions and attitudes towards AGR and how this technology might disproportionately affect vulnerable communities. To begin to address these gaps, we interviewed 13 transgender individuals, including three transgender technology designers, about their perceptions and attitudes towards AGR. We found that transgender individuals have overwhelmingly negative attitudes towards AGR and fundamentally question whether it can accurately recognize such a subjective aspect of their identity. They raised concerns about privacy and potential harms that can result from being incorrectly gendered, or misgendered, by technology. We present a series of recommendations on how to accommodate gender diversity when designing new digital systems.
Title: CivilServant: Community-Led Experiments in Platform Governance
Authors: family: Matias
given: J. Nathan; family: Mou
given: Merry
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: ethics, policy evaluation, moderation, governance, action research, platforms, field experiments, randomized trials

Abstract: As online platforms monitor and intervene in the daily lives of billions of people, platforms are being used to govern enduring social problems. Field experiments could inform wise uses of this power if tensions between democratic values and experimentation could be resolved. In this paper, we introduce CivilServant, a novel experimentation infrastructure that online communities and their moderators use to evaluate policies and replicate each others' findings. We situate CivilServant in the political history of policy experiments and present design considerations for community participation, ethics, and replication. Based on two case studies of community-led experiments and public debriefings on the reddit platform, we share findings on community deliberation about experiment results. We also report on uses of evidence, finding that experiments informed moderator practices, community policies, and replications by communities and platforms. We discuss the implications of these findings for evaluating platform governance in an open, democratic, experimenting society.
Title: M-Kulinda: Using a Sensor-Based Technology Probe to Explore Domestic Security in Rural Kenya
Authors: family: Chidziwisano
given: George Hope; family: Wyche
given: Susan
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: home protection, hci4d, rural, ictd, technology probes, kenya

Abstract: In rural Kenyan households, property theft is a persistent problem. To explore how Information and Communication Technologies (ICTs) may be used to address this problem we designed and deployed "M-Kulinda"-a sensor-based technology probe. We used interview, observation, diary, and data logging methods to understand 20 households' experiences using the system. Our findings suggest that a probe's approach is useful in this context, more specifically we found that participants used our system in different ways to address their specific needs (e.g., monitoring poultry, electronics, and their family members). We also observed changes in our participants' understanding of sensors; M-Kulinda prompted them to reflect on other areas where sensors could be used in their households. We present design implications based on these findings, and offer new perspectives on the role of technology in deterring crime.
Title: Nonvisual Interaction Techniques at the Keyboard Surface
Authors: family: Khurana
given: Rushil; family: McIsaac
given: Duncan; family: Lockerman
given: Elliot; family: Mankoff
given: Jennifer
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: keyboard, interaction techniques, accessibility

Abstract: Web user interfaces today leverage many common GUI design patterns, including navigation bars and menus (hierarchical structure), tabular content presentation, and scrolling. These visual-spatial cues enhance the interaction experience of sighted users. However, the linear nature of screen translation tools currently available to blind users make it difficult to understand or navigate these structures. We introduce Spatial Region Interaction Techniques (SPRITEs) for nonvisual access: a novel method for navigating two-dimensional structures using the keyboard surface. SPRITEs 1) preserve spatial layout, 2) enable bimanual interaction, and 3) improve the end user experience. We used a series of design probes to explore different methods for keyboard surface interaction. Our evaluation of SPRITEs shows that three times as many participants were able to complete spatial tasks with SPRITEs than with their preferred current technology.
Title: Admixed Portrait: Design to Understand Facebook Portrayals in New Parenthood
Authors: family: Durrant
given: Abigail C.; family: Kirk
given: David S.; family: Trujillo-Pisanty
given: Diego; family: Martindale
given: Sarah
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: research through design, parenthood, identity transition, facebook, photograph

Abstract: We report on a design-led study of the photographic representation of self and family on Facebook during and after becoming parents for the first time. Our experience-centered, research-through-design study engaged eight participants across five UK homes, in a month-long deployment of a prototype technology -- a design research artifact, Admixed Portrait, that served to prompt participant reflection on first-time parenthood. In addition to pre- and post-deployment interviews, participants kept diaries capturing personal reflections during the deployment, on daily social media use and interactions with Admixed. Our qualitative insights on social media representations of transitional experience and identity for new parents, reveal how their online 'photowork' related to self-expression and social functioning. We contribute design considerations for developing tools to support photographic expression in social media use, and methodological insights about design-led inquiry for understanding transitional experiences.
Title: MABLE: Mediating Young Children's Smart Media Usage with Augmented Reality
Authors: family: Gweon
given: Gahgene; family: Kim
given: Bugeun; family: Kim
given: Jinyoung; family: Lee
given: Kung Jin; family: Rhim
given: Jungwook; family: Choi
given: Jueun
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: smart media usage, parental medi-ation, engagement, preschoolers, augmented reality (ar), rule compliance

Abstract: There has been a growing concern over the huge increase in use of smart media by young children. This study explores the possibility of using augmented-reality(AR) for regulat-ing preschoolers' media usage behavior. With MABLE (mobile application for behavioral learning and education), parents can provide AR-assisted feedback by changing facial expressions and sound effects. When overlaying a smart media, which has MABLE running, in front of a QR marker on a puppet, a facial expression is displayed on top of the puppet's face. A two-week long experiment with 36 parent-child pairs showed that compared to using just the puppet, using MABLE showed higher amount of engage-ment among preschoolers. For the effectiveness of parental mediation in terms of self-control, our data showed mixed results. MABLE had positive effects in that the amount of rule-compliance increased and problematic behaviors de-creased, whereas the level of behavioral dependency on smart media was not influenced.
Title: How Relevant are Incidental Power Poses for HCI?
Authors: family: Jansen
given: Yvonne; family: Hornbæk
given: Kasper
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: incidental postures, power pose, bayesian analysis

Abstract: The concept of power pose originates from a Psychology study from 2010 which suggested that holding an expansive pose can change hormone levels and increase risk-taking behavior. Follow-up experiments suggested that expansive poses incidentally imposed by the design of an environment lead to more dishonest behaviors. While multiple replication attempts of the 2010 study failed, the follow-up experiments on incidental postures have so far not been replicated. As UI design in HCI can incidentally lead to expansive body postures, we attempted two conceptual replications: we first asked 44 participants to tap areas on a wall-sized display and measured their self-reported sense of power; we then asked 80 participants to play a game on a large touch-screen and measured risk-taking. Based on Bayesian analyses we find that incidental power poses had little to no effect on our measures but could cause physical discomfort. We conclude by discussing our findings in the context of theory-driven research in HCI.
Title: Designing and Evaluating mHealth Interventions for Vulnerable Populations: A Systematic Review
Authors: family: Stowell
given: Elizabeth; family: Lyson
given: Mercedes C.; family: Saksono
given: Herman; family: Wurth
given: Reneé C.; family: Jimison
given: Holly; family: Pavel
given: Misha; family: Parker
given: Andrea G.
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: vulnerable populations, race, socioeconomic status, ethnicity, mhealth, minority, systematic review

Abstract: Diverse disciplines, including Human-Computer Interaction have explored how mobile health (mHealth) applications can transform healthcare and health promotion. Increasingly, research has explored how mHealth tools can promote healthy behaviors within vulnerable populations-groups that disproportionately experience barriers to wellness. We conducted a systematic review of 83 papers from diverse disciplines to characterize the design and impact of mHealth tools in low-socioeconomic (low-SES) and racial/ethnic minority individuals. Our findings highlight that the diversity within low-SES and racial/ethnic minority groups was not reflected in the populations studied. Most studies focused on improving the health of individuals, often neglecting factors at the community and society levels that influence health disparities. Moreover, few improvements in health outcomes were demonstrated. We further discuss factors that acted as barriers and facilitators of mHealth intervention adoption. Our findings highlight trends that can drive critically needed digital health innovations for vulnerable populations.
Title: The Illusion of Control: Placebo Effects of Control Settings
Authors: family: Vaccaro
given: Kristen; family: Huang
given: Dylan; family: Eslami
given: Motahhare; family: Sandvig
given: Christian; family: Hamilton
given: Kevin; family: Karahalios
given: Karrie
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: sensemaking, placebo effect, social media, control settings

Abstract: Algorithmic prioritization is a growing focus for social media users. Control settings are one way for users to adjust the prioritization of their news feeds, but they prioritize feed content in a way that can be difficult to judge objectively. In this work, we study how users engage with difficult-to-validate controls. Via two paired studies using an experimental system -- one interview and one online study -- we found that control settings functioned as placebos. Viewers felt more satisfied with their feed when controls were present, whether they worked or not. We also examine how people engage in sensemaking around control settings, finding that users often take responsibility for violated expectations -- for both real and randomly functioning controls. Finally, we studied how users controlled their social media feeds in the wild. The use of existing social media controls had little impact on user's satisfaction with the feed; instead, users often turned to improvised solutions, like scrolling quickly, to see what they want.
Title: Easy Return: An App for Indoor Backtracking Assistance
Authors: family: Flores
given: German; family: Manduchi
given: Roberto
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: spatial accessibility, wayfinding, inertial sensing, step counting

Abstract: We present a system that, implemented as an iPhone app controllable from an Apple Watch, can help a blind person backtrack a route taken in a building. This system requires no maps of the building or environment modifications. While traversing a path from a starting location to a destination, the system builds and records a path representation in terms of a sequence of turns and of step counts between turns. If the user wants to backtrack the same path, the system can provide assistance by tracking the user's location in the recorded path, and producing directional information in speech form about the next turns and step counts to follow. The system was tested with six blind participants in a controlled indoor experiment.
Title: Point-and-Shake: Selecting from Levitating Object Displays
Authors: family: Freeman
given: Euan; family: Williamson
given: Julie; family: Subramanian
given: Sriram; family: Brewster
given: Stephen
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: pointing, ray-cast pointing, acoustic levitation, selection

Abstract: Acoustic levitation enables a radical new type of human-computer interface composed of small levitating objects. For the first time, we investigate the selection of such objects, an important part of interaction with a levitating object display. We present Point-and-Shake, a mid-air pointing interaction for selecting levitating objects, with feedback given through object movement. We describe the implementation of this technique and present two user studies that evaluate it. The first study found that users could accurately (96%) and quickly (4.1s) select objects by pointing at them. The second study found that users were able to accurately (95%) and quickly (3s) select occluded objects. These results show that Point-and-Shake is an effective way of initiating interaction with levitating object displays.
Title: When David Meets Goliath: Combining Smartwatches with a Large Vertical Display for Visual Data Exploration
Authors: family: Horak
given: Tom; family: Badam
given: Sriram Karthik; family: Elmqvist
given: Niklas; family: Dachselt
given: Raimund
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: data exploration, cross-device interaction, multi-display environment, large display, smartwatch, visual analysis

Abstract: We explore the combination of smartwatches and a large interactive display to support visual data analysis. These two extremes of interactive surfaces are increasingly popular, but feature different characteristics-display and input modalities, personal/public use, performance, and portability. In this paper, we first identify possible roles for both devices and the interplay between them through an example scenario. We then propose a conceptual framework to enable analysts to explore data items, track interaction histories, and alter visualization configurations through mechanisms using both devices in combination. We validate an implementation of our framework through a formative evaluation and a user study. The results show that this device combination, compared to just a large display, allows users to develop complex insights more fluidly by leveraging the roles of the two devices. Finally, we report on the interaction patterns and interplay between the devices for visual exploration as observed during our study.
Title: SteeringWheel: A Locality-Preserving Magnification Interface for Low Vision Web Browsing
Authors: family: Billah
given: Syed Masum; family: Ashok
given: Vikas; family: Porter
given: Donald E.; family: Ramakrishnan
given: I.V.
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: locality, web-browsing, magnifier, accessibility, visual impairments, low-vision, user-interface

Abstract: Low-vision users struggle to browse the web with screen magnifiers. Firstly, magnifiers occlude significant portions of the webpage, thereby making it cumbersome to get the webpage overview and quickly locate the desired content. Further, magnification causes loss of spatial locality and visual cues that commonly define semantic relationships in the page; reconstructing semantic relationships exclusively from narrow views dramatically increases the cognitive burden on the users. Secondly, low-vision users have widely varying needs requiring a range of interface customizations for different page sections; dynamic customization in extant magnifiers is disruptive to users' browsing. We present SteeringWheel, a magnification interface that leverages content semantics to preserve local context. In combination with a physical dial, supporting simple rotate and press gestures, users can quickly navigate different webpage sections, easily locate desired content, get a quick overview, and seamlessly customize the interface. A user study with 15 low-vision participants showed that their web-browsing efficiency improved by at least 20 percent with SteeringWheel compared to extant screen magnifiers.
Title: IntroAssist: A Tool to Support Writing Introductory Help Requests
Authors: family: Hui
given: Julie S.; family: Gergle
given: Darren; family: Gerber
given: Elizabeth M.
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: professional connec-tions, social capital, help seeking, entrepreneurship, skills

Abstract: Writing introductory help requests is a key part of develop-ing new professional connections, such as through email and other online messaging systems. This paper presents the design and an experimental evaluation of IntroAssist-a web-based tool that leverages cognitive apprenticeship in-structional methods to support writing introductory help requests through an expert-informed checklist, tagged peer examples, self-tagging, and suggested word limit. In a study of IntroAssist with novice entrepreneurs, we find that 1) expert raters consider help requests written with the tool as more effective, 2) participants are able to perform introduc-tory help seeking skills after the tool is removed, and 3) participants report being more likely to send help requests written with the tool. We present implications for the de-velopment of systems that support the initiation of profes-sional relationships.
Title: Surprise Me If You Can: Serendipity in Health Information
Authors: family: Niu
given: Xi; family: Abbas
given: Fakhri; family: Maher
given: Mary Lou; family: Grace
given: Kazjon
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: value, information retrieval systems, health news, surprise, serendipity, computational models

Abstract: Our natural tendency to be curious is increasingly important now that we are exposed to vast amounts of information. We often cope with this overload by focusing on the familiar: information that matches our expectations. In this paper we present a framework for interactive serendipitous information discovery based on a computational model of surprise. This framework delivers information that users were not actively looking for, but which will be valuable to their unexpressed needs. We hypothesize that users will be surprised when presented with information that violates the expectations predicted by our model of them. This surprise model is balanced by a value component which ensures that the information is relevant to the user. Within this framework we have implemented two surprise models, one based on association mining and the other on topic modeling approaches. We evaluate these two models with thirty users in the context of online health news recommendation. Positive user feedback was obtained for both of the computational models of surprise compared to a baseline random method. This research contributes to the understanding of serendipity and how to "engineer" serendipity that is favored by users.
Title: Awe the Audience: How the Narrative Trajectories Affect Audience Perception in Public Speaking
Authors: family: Tanveer
given: M. Iftekhar; family: Samrose
given: Samiha; family: Baten
given: Raiyan Abdul; family: Hoque
given: M. Ehsan
Venue: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems
Keywords: clustering, narrative trajectories, styles of storytelling, pattern recognition, affective computing, ted talks

Abstract: Telling a great story often involves a deliberate alteration of emotions. In this paper, we objectively measure and analyze the narrative trajectories of stories in public speaking and their impact on subjective ratings. We conduct the analysis using the transcripts of over 2000 TED talks and estimate potential audience response using over 5 million spontaneous annotations from the viewers. We use IBM Watson Tone Analyzer to extract sentence-wise emotion, language, and social scores. Our study indicates that it is possible to predict (with AUC as high as 0.88) the subjective ratings of the audience by analyzing the narrative trajectories. Additionally, we find that some trajectories (for example, a flat trajectory of joy) correlate well with some specific ratings (e.g. "Longwinded') assigned by the viewers. Such an association could be useful in forecasting audience responses using objective analysis.