huashen218/convxai-cia-dataset huggingface dataset:
Title: Cognitive Aids in Acute Care: Investigating How Cognitive Aids Affect and Support In-hospital Emergency Teams
Authors: family: Grundgeiger
given: Tobias; family: Huber
given: Stephan; family: Reinhardt
given: Daniel; family: Steinisch
given: Andreas; family: Happel
given: Oliver; family: Wurmb
given: Thomas
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: simulation, cardiac arrest, embodied cognition, cognitive aid, non-technical performance, cardiopulmonary resuscitation

Abstract: Cognitive aids - artefacts that support a user in the completion of a task at the time - have raised great interest to support healthcare staff during medical emergencies. However, the mechanisms of how cognitive aids support or affect staff remain understudied. We describe the iterative development of a tablet-based cognitive aid application to support in-hospital resuscitation team leaders. We report a summative evaluation of two different versions of the application. Finally, we outline the limitations of current explanations of how cognitive aids work and suggest an approach based on embodied cognition. We discuss how cognitive aids alter the task of the team leader (distributed cognition), the importance of the present team situation (socially situated), and the result of the interaction between mind and environment (sensorimotor coupling). Understanding and considering the implications of introducing cognitive aids may help to increase acceptance and effectiveness of cognitive aids and eventually improve patient safety.
Title: Facilitating Self-reflection about Values and Self-care Among Individuals with Chronic Conditions
Authors: family: Lim
given: Catherine Y.; family: Berry
given: Andrew B.L.; family: Hartzler
given: Andrea L.; family: Hirsch
given: Tad; family: Carrell
given: David S.; family: Bermet
given: Zoë A.; family: Ralston
given: James D.
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: multiple chronic conditions, self-care, values, multimorbidity, reflection, health

Abstract: Individuals with multiple chronic conditions (MCC) experience the overwhelming burden of treating MCC and frequently disagree with their providers on priorities for care. Aligning self-care with patients' values may improve healthcare for these patients. However, patients' values are not routinely discussed in clinical conversations and patients may not actively share this information with providers. In a qualitative field study, we interviewed 15 patients in their homes to investigate techniques that encourage patients to articulate values, self-care, and how they relate. Study activities facilitated self-reflection on values and self-care and produced varying responses, including: raising consciousness, evolving perspectives, identifying misalignments, and considering changes. We discuss how our findings extend prior work on supporting reflection in HCI and inform the design of tools for improving care for people with MCC.
Title: Pyrus: Designing A Collaborative Programming Game to Promote Problem Solving Behaviors
Authors: family: Shi
given: Joshua; family: Shah
given: Armaan; family: Hedman
given: Garrett; family: O'Rourke
given: Eleanor
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Abstract: While problem solving is a crucial aspect of programming, few learning opportunities in computer science focus on teaching problem-solving skills like planning. In this paper, we present Pyrus, a collaborative game designed to encourage novices to plan in advance while programming. Through Pyrus, we explore a new approach to designing educational games we call behavior-centered game design, in which designers first identify behaviors that learners should practice to reach desired learning goals and then select game mechanics that incentivize those behaviors. Pyrus leverages game mechanics like a failure condition, distributed resources, and enforced turn-taking to encourage players to plan and collaborate. In a within-subjects user study, we found that pairs of novices spent more time planning and collaborated more equally when solving problems in Pyrus than in pair programming. These findings show that game mechanics can be used to promote desirable learning behaviors like planning in advance, and suggest that our behavior-centered approach to educational game design warrants further study.
Title: Inalienability: Understanding Digital Gifts
Authors: family: Spence
given: Jocelyn
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: sharing, strong concepts, inalienability, gifting

Abstract: This paper takes on one of the rarely articulated yet important questions pertaining to digital media objects: how do HCI and design researchers understand 'gifting' when the object can just as easily be 'shared'? This question has often been implied and occasionally answered, though only partially. We propose the concept of 'inalienability', taken from the gifting literature, as a useful theory for clarifying what design researchers mean by gifting in a digital context. We apply 'inalienability' to three papers from the ACM Digital Library and one ongoing project, spanning nearly two decades of HCI and design research, that combine 'gifting and 'sharing' in their frameworks. In this way we show how applying the concept of 'inalienability' can clarify behaviours that mark gifting as a unique activity, frame research questions around gifting and sharing, outline specific next steps for gifting research, and suggest design strategies in this area.
Title: As Light as You Aspire to Be: Changing Body Perception with Sound to Support Physical Activity
Authors: family: Tajadura-Jiménez
given: Ana; family: Newbold
given: Joseph; family: Zhang
given: Linge; family: Rick
given: Patricia; family: Bianchi-Berthouze
given: Nadia
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: auditory body perception, emotion, sonification, interaction styles, evaluation method, multimodal interfaces

Abstract: Supporting exercise adherence through technology remains an important HCI challenge. Recent works showed that altering walking sounds leads people perceiving themselves as thinner/lighter, happier and walking more dynamically. While this novel approach shows potential for physical activity, it raises critical questions impacting technology design. We ran two studies in the context of exertion (gym-step, stairs-climbing) to investigate how individual factors impact the effect of sound and the duration of the after-effects. The results confirm that the effects of sound in body-perception occur even in physically demanding situations and through ubiquitous wearable devices. We also show that the effect of sound interacted with participants' body weight and masculinity/femininity aspirations, but not with gender. Additionally, changes in body-perceptions did not hold once the feedback stopped; however, body-feelings or behavioural changes appeared to persist for longer. We discuss the results in terms of malleability of body-perception and highlight opportunities for supporting exercise adherence.
Title: Who Would You Like to Work With?
Authors: family: Gómez-Zará
given: Diego; family: Paras
given: Matthew; family: Twyman
given: Marlon; family: Lane
given: Jacqueline N.; family: DeChurch
given: Leslie A.; family: Contractor
given: Noshir S.
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: people search, teams, human capital, social capital, team formation systems

Abstract: People and organizations are increasingly using online platforms to assemble teams. In response, HCI researchers have theorized frameworks and created systems to support team assembly. However, little is known about how users search for and choose teammates on these platforms. We conducted a field study where 530 participants used a team formation system to assemble project teams. We describe how users' traits and social networks influence their teammate searches, teammate choices, and team composition. Our results show that (a) what users initially search for differs from what they finally choose: initially they search for experts and sociable users, but they are ultimately more likely to choose their prior social connections as their teammates; (b) users' decisions lead to non-diverse and segregated teams, where most of the expertise and social capital are concentrated in a few teams. We discuss the implications of these results for designing team formation systems than promote users' agency.
Title: ModiFiber: Two-Way Morphing Soft Thread Actuators for Tangible Interaction
Authors: family: Forman
given: Jack; family: Tabb
given: Taylor; family: Do
given: Youngwook; family: Yeh
given: Meng-Han; family: Galvin
given: Adrian; family: Yao
given: Lining
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: thread actuators, soft actuator, torsional actuator, linear actuator, artificial muscles, twisting actuator, shrinking actuator, coiled thread actuators, reversibility

Abstract: Despite thin-line actuators becoming widely adopted in different Human-Computer Interaction (HCI) contexts, including integration into fabrics, paper art, hinges, soft robotics, and human hair, accessible line-based actuators are very limited beyond shape memory alloy (SMA) wire and motor-driven passive tendons. In this paper, we introduce a novel, yet simple and accessible, line-based actuator. ModiFiber is a twisted-then-coiled nylon thread actuator with a silicone coating. This composite thread actuator exhibits unique two-way reversible shrinking or twisting behaviors triggered by heat or electrical current (i.e., Joule heating). ModiFiber is soft, flexible, safe to operate and easily woven or sewn, hence it has a great potential as an embedded line-based actuator for HCI purposes. In this paper, we explain the material mechanisms and manufacturing approaches, followed by some performance tests and application demonstrations.
Title: Breakdowns in Home-School Collaboration for Behavioral Intervention
Authors: family: Marcu
given: Gabriela; family: Spiller
given: Allison; family: Arevalo Garay
given: Jonathan; family: Connell
given: James E.; family: Pina
given: Laura R.
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: behavioral psychology, special education, collaboration

Abstract: For some children, behavioral health services are critical in supporting their development and preventing adverse outcomes such as school dropout, substance use, or encounters with juvenile justice. Schools play an important role in identifying problem behavior and providing appropriate intervention, and these efforts are most effective when executed in collaboration with parents at home. However, home-school collaboration is difficult to achieve. In this work, we investigated lack of information sharing as a barrier to collaboration, through a qualitative study including observation, contextual inquiry, and interviews. We found that policies, processes, and tools for documenting behaviors in schools are implemented without significant consideration toward exchanging information with parents. Consequently, a lack of effective two-way information sharing tended to hinder collaboration and erode trust. Combining our empirical findings with evidence-based strategies for parent involvement, we discuss design opportunities for promoting collaboration toward positive behavioral outcomes for children.
Title: VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository
Authors: family: Hu
given: Kevin; family: Gaikwad
given: Snehalkumar 'Neil' S.; family: Hulsebos
given: Madelon; family: Bakker
given: Michiel A.; family: Zgraggen
given: Emanuel; family: Hidalgo
given: César; family: Kraska
given: Tim; family: Li
given: Guoliang; family: Satyanarayan
given: Arvind; family: Demiralp
given: Çağatay
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: automated visualization, active learning, crowd computing, benchmarking, reproducible research, machine learning

Abstract: Researchers currently rely on ad hoc datasets to train automated visualization tools and evaluate the effectiveness of visualization designs. These exemplars often lack the characteristics of real-world datasets, and their one-off nature makes it difficult to compare different techniques. In this paper, we present VizNet: a large-scale corpus of over 31 million datasets compiled from open data repositories and online visualization galleries. On average, these datasets comprise 17 records over 3 dimensions and across the corpus, we find 51% of the dimensions record categorical data, 44% quantitative, and only 5% temporal. VizNet provides the necessary common baseline for comparing visualization design techniques, and developing benchmark models and algorithms for automating visual analysis. To demonstrate VizNet's utility as a platform for conducting online crowdsourced experiments at scale, we replicate a prior study assessing the influence of user task and data distribution on visual encoding effectiveness, and extend it by considering an additional task: outlier detection. To contend with running such studies at scale, we demonstrate how a metric of perceptual effectiveness can be learned from experimental results, and show its predictive power across test datasets.
Title: Shape Structuralizer: Design, Fabrication, and User-driven Iterative Refinement of 3D Mesh Models
Authors: family: Chidambaram
given: Subramanian; family: Zhang
given: Yunbo; family: Sundararajan
given: Venkatraghavan; family: Elmqvist
given: Niklas; family: Ramani
given: Karthik
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: 3d modeling, fabrication, cad, design recommendation

Abstract: Current Computer-Aided Design (CAD) tools lack proper support for guiding novice users towards designs ready for fabrication. We propose Shape Structuralizer (SS), an interactive design support system that repurposes surface models into structural constructions using rods and custom 3D-printed joints. Shape Structuralizer embeds a recommendation system that computationally supports the user during design ideation by providing design suggestions on local refinements of the design. This strategy enables novice users to choose designs that both satisfy stress constraints as well as their personal design intent. The interactive guidance enables users to repurpose existing surface mesh models, analyze them in-situ for stress and displacement constraints, add movable joints to increase functionality, and attach a customized appearance. This also empowers novices to fabricate even complex constructs while ensuring structural soundness. We validate the Shape Structuralizer tool with a qualitative user study where we observed that even novice users were able to generate a large number of structurally safe designs for fabrication.
Title: Designing Participatory Sensing with Remote Communities to Conserve Endangered Species
Authors: family: Dema
given: Tshering; family: Brereton
given: Margot; family: Roe
given: Paul
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: participatory sensing, social computing, endangered species, remote communities, conservation technologies

Abstract: The increasing loss of species globally calls for effective monitoring tools and strategies to inform conservation action. The dominant approach to citizens engagement has been smart phone and platform-centric, tasking crowds to collect and analyze data. However, many critically endangered species inhabit remote areas, characterized by sparsely populated communities with poor internet connectivity. Approaches need to garner high engagement relative to population size, with data collection and knowledge synthesis suited to the local context. We conducted a field study in remote communities to understand how to enhance conservation of Bhutan's critically endangered White-bellied heron by exploring existing monitoring practices and trialing acoustic sensing technologies. We found that knowledge about the species is partial, heterogeneous, situated within and across communities and rooted in cultural beliefs. Sensors, acoustic interfaces, and playful probes provided new ways for the community to 'see' and discuss their local environment fostering them to share and grow their knowledge together. We contribute a synthesis of key considerations for designing effective participatory sensing to conserve species in remote communities.
Title: "Tricky to get your head around": Information Work of People Managing Chronic Kidney Disease in the UK
Authors: family: Burgess
given: Eleanor R.; family: Reddy
given: Madhu C.; family: Davenport
given: Andrew; family: Laboi
given: Paul; family: Blandford
given: Ann
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: patient self-management, sensemaking, information work, chronic kidney disease, meaning making, information journey

Abstract: People diagnosed with a chronic health condition have many information needs which healthcare providers, patient groups, and resource designers seek to support. However, as a disease progresses, knowing when, how, and for what purposes patients want to interact with and construct personal meaning from health-related information is still unclear. This paper presents findings regarding the information work of chronic kidney disease patients. We conducted semi-structured interviews with 13 patients and 6 clinicians, and observations at 9 patient group events. We used the stages of the information journey - recognizing need, seeking, interpreting, and using information - to frame our data analysis. We identified two distinct but often overlapping information work phases, 'Learning' and 'Living With' a chronic condition to show how patient information work activities shift over time. We also describe social and individual factors influencing information work, and discuss technology design opportunities including customized education and collaboration tools.
Title: Long-Term Value of Social Robots through the Eyes of Expert Users
Authors: family: Dereshev
given: Dmitry; family: Kirk
given: David; family: Matsumura
given: Kohei; family: Maeda
given: Toshiyuki
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: interview, pepper, human-robot interaction (hri), value, long-term, acceptance, robot, social

Abstract: Socially-enabled digital technologies have attracted academic interest for decades, with recent commercial examples of Siri and Alexa, capturing public attention. However, despite ubiquitous visions of a robotic future, very few fully-fledged social robots are currently available to consumers. To improve their designs, studies of their long-term use are particularly valuable, but are currently unavailable. To address this gap, we report on interviews with four long-term users of Pepper - a social robot introduced in 2014. Our thematic analysis elicited insights across three kinds of value Pepper brought to its users: utilitarian functionality; the community that formed around Pepper; and a personal value of affection. We focus on two contributions those values bring to social robot design: social robots as social proxies, alleviating disabilities or acting akin to social media profiles; and robot nurturing as a design construct, going beyond purely utilitarian or hedonistic perspectives on robots.
Title: Email Makes You Sweat: Examining Email Interruptions and Stress Using Thermal Imaging
Authors: family: Akbar
given: Fatema; family: Bayraktaroglu
given: Ayse Elvan; family: Buddharaju
given: Pradeep; family: Da Cunha Silva
given: Dennis Rodrigo; family: Gao
given: Ge; family: Grover
given: Ted; family: Gutierrez-Osuna
given: Ricardo; family: Jones
given: Nathan Cooper; family: Mark
given: Gloria; family: Pavlidis
given: Ioannis; family: Storer
given: Kevin; family: Wang
given: Zelun; family: Wesley
given: Amanveer; family: Zaman
given: Shaila
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: thermal imaging, empirical study, stress, email, multitasking, sensors, interruptions, personality

Abstract: Workplace environments are characterized by frequent interruptions that can lead to stress. However, measures of stress due to interruptions are typically obtained through self-reports, which can be affected by memory and emotional biases. In this paper, we use a thermal imaging system to obtain objective measures of stress and investigate personality differences in contexts of high and low interruptions. Since a major source of workplace interruptions is email, we studied 63 participants while multitasking in a controlled office environment with two different email contexts: managing email in batch mode or with frequent interruptions. We discovered that people who score high in Neuroticism are significantly more stressed in batching environments than those low in Neuroticism. People who are more stressed finish emails faster. Last, using Linguistic Inquiry Word Count on the email text, we find that higher stressed people in multitasking environments use more anger in their emails. These findings help to disambiguate prior conflicting results on email batching and stress.
Title: Measuring the Separability of Shape, Size, and Color in Scatterplots
Authors: family: Smart
given: Stephen; family: Szafir
given: Danielle Albers
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: visualization, separability, crowdsourcing, visual channels, graphical perception

Abstract: Scatterplots commonly use multiple visual channels to encode multivariate datasets. Such visualizations often use size, shape, and color as these dimensions are considered separable--dimensions represented by one channel do not significantly interfere with viewers' abilities to perceive data in another. However, recent work shows the size of marks significantly impacts color difference perceptions, leading to broader questions about the separability of these channels. In this paper, we present a series of crowdsourced experiments measuring how mark shape, size, and color influence data interpretation in multiclass scatterplots. Our results indicate that mark shape significantly influences color and size perception, and that separability among these channels functions asymmetrically: shape more strongly influences size and color perceptions in scatterplots than size and color influence shape. Models constructed from the resulting data can help designers anticipate viewer perceptions to build more effective visualizations.