huashen218/convxai-cia-dataset huggingface dataset:
Title: "I feel it is my responsibility to stream": Streaming and Engaging with Intangible Cultural Heritage through Livestreaming
Authors: family: Lu
given: Zhicong; family: Annett
given: Michelle; family: Fan
given: Mingming; family: Wigdor
given: Daniel
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: cultural preservation, livestreaming, intangible cultural heritage, user engagement, social media

Abstract: Globalization has led to the destruction of many cultural practices, expressions, and knowledge found within local communities. These practices, defined by UNESCO as Intangible Cultural Heritage (ICH), have been identified, promoted, and safeguarded by nations, academia, organizations and local communities to varying degrees. Despite such efforts, many practices are still in danger of being lost or forgotten forever. With the increased popularity of livestreaming in China, some streamers have begun to use livestreaming to showcase and promote ICH activities. To better understand the practices, opportunities, and challenges inherent in sharing and safeguarding ICH through livestreaming, we interviewed 10 streamers and 8 viewers from China. Through our qualitative investigation, we found that ICH streamers had altruistic motivations and engaged with viewers using multiple modalities beyond livestreams. We also found that livestreaming encouraged real-time interaction and sociality, while non-live curated videos attracted attention from a broader audience and assisted in the archiving of knowledge.
Title: AILA: Attentive Interactive Labeling Assistant for Document Classification through Attention-Based Deep Neural Networks
Authors: family: Choi
given: Minsuk; family: Park
given: Cheonbok; family: Yang
given: Soyoung; family: Kim
given: Yonggyu; family: Choo
given: Jaegul; family: Hong
given: Sungsoo Ray
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: neural language processing, aila, document labeling, interactive attention module

Abstract: Document labeling is a critical step in building various machine learning applications. However, the step can be time-consuming and arduous, requiring a significant amount of human efforts. To support an efficient document labeling environment, we present a system called Attentive Interactive Labeling Assistant (AILA). In its core, AILA uses Interactive Attention Module (IAM), a novel module that visually highlights words in a document that labelers may pay attention to when labeling a document. IAM utilizes attention-based Deep Neural Networks which not only support a prediction of which words to highlight but also enable labelers to indicate words that should be assigned a high attention weight while labeling to improve the future quality of word prediction.We evaluated the labeling efficiency and the accuracy by comparing the conditions with and without IAM in our study. The results showed that participants' labeling efficiency increased significantly under the condition with IAM than the condition without IAM, while the two conditions maintained roughly the same labeling accuracy.
Title: Multi-Modal Approaches for Post-Editing Machine Translation
Authors: family: Herbig
given: Nico; family: Pal
given: Santanu; family: van Genabith
given: Josef; family: Krüger
given: Antonio
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: computer-aided translation, post-editing, multi-modality

Abstract: Current advances in machine translation increase the need for translators to switch from traditional translation to post-editing (PE) of machine-translated text, a process that saves time and improves quality. This affects the design of translation interfaces, as the task changes from mainly generating text to correcting errors within otherwise helpful translation proposals. Our results of an elicitation study with professional translators indicate that a combination of pen, touch, and speech could well support common PE tasks, and received high subjective ratings by our participants. Therefore, we argue that future translation environment research should focus more strongly on these modalities in addition to mouse- and keyboard-based approaches. On the other hand, eye tracking and gesture modalities seem less important. An additional interview regarding interface design revealed that most translators would also see value in automatically receiving additional resources when a high cognitive load is detected during PE.
Title: Neighborhood Perception in Bar Charts
Authors: family: Zhao
given: Mingqian; family: Qu
given: Huamin; family: Sedlmair
given: Michael
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: visualization, empirical study that tells us about people

Abstract: In this paper, we report three user experiments that investigate in how far the perception of a bar in a bar chart changes based on the height of its neighboring bars. We hypothesized that the perception of the very same bar, for instance, might differ when it is surrounded by the top highest vs. the top lowest bars. Our results show that such neighborhood effects exist: a target bar surrounded by high neighbor bars, is perceived to be lower as the same bar surrounded with low neighbors. Yet, the effect size of this neighborhood effect is small compared to other data-inherent effects: the judgment accuracy largely depends on the target bar rank, number of data items, and other data characteristics of the dataset. Based on the findings, we discuss design implications for perceptually optimizing bar charts.
Title: Talking about Chat at Work in the Global South: An Ethnographic Study of Chat Use in India and Kenya
Authors: family: McGregor
given: Moira; family: Bidwell
given: Nicola J.; family: Sarangapani
given: Vidya; family: Appavoo
given: Jonathan; family: O'Neill
given: Jacki
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: chat, mobile messaging, collaboration, distributed workforce: communication, ethnography

Abstract: In this paper, we examine how two chat apps fit into the communication ecosystem of six large distributed enterprises, in India and Kenya. From the perspective of management, these chat apps promised to foster greater communication and awareness between workers in the field, and between fieldworkers and the enterprises administration and management centres. Each organisation had multiple different types of chat groups, characterised by the types of content and interaction patterns they mediate, and the different organisational functions they fulfil. Examining the interplay between chat and existing local practices for coordination, collaboration and knowledge-sharing, we discuss how chat manifests in the distributed workplace and how it fits -- or otherwise -- alongside the rhythms of both local and remote work. We contribute to understandings of chat apps for workplace communication and provide insights for shaping their ongoing development.
Title: "What's Happening at that Hip?": Evaluating an On-body Projection based Augmented Reality System for Physiotherapy Classroom
Authors: family: Ferdous
given: Hasan Shahid; family: Hoang
given: Thuong; family: Joukhadar
given: Zaher; family: Reinoso
given: Martin N.; family: Vetere
given: Frank; family: Kelly
given: David; family: Remedios
given: Louisa
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: augmented reality, projection mapping, educational system, annotation, pen-based interactions

Abstract: We present two studies to discuss the design, usability analysis, and educational outcome resulting from our system Augmented Body in physiotherapy classroom. We build on prior user-centric design work that investigates existing teaching methods and discuss opportunities for intervention. We present the design and implementation of a hybrid system for physiotherapy education combining an on-body projection based virtual anatomy supplemented by pen-based tablets to create real-time annotations. We conducted a usability evaluation of this system, comparing with projection only and traditional teaching conditions. Finally, we focus on a comparative study to evaluate learning outcome among students in actual classroom settings. Our studies showed increased usage of visual representation techniques in students'11 note taking behavior and statistically significant improvement in some learning aspects. We discuss challenges for designing augmented reality systems for education, including minimizing attention split, addressing text-entry issues, and digital annotations on a moving physical body.
Title: Optimising Encoding for Vibrotactile Skin Reading
Authors: family: Luzhnica
given: Granit; family: Veas
given: Eduardo
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: encoding, user study, tactile feedback, skin reading, optimisation, wearable, haptic feedback, hci, stimulation

Abstract: This paper proposes methods of optimising alphabet encoding for skin reading in order to avoid perception errors. First, a user study with 16 participants using two body locations serves to identify issues in recognition of both individual letters and words. To avoid such issues, a two-step optimisation method of the symbol encoding is proposed and validated in a second user study with eight participants using the optimised encoding with a seven vibromotor wearable layout on the back of the hand. The results show significant improvements in the recognition accuracy of letters (97%) and words (97%) when compared to the non-optimised encoding.
Title: Bring the Outside In: Providing Accessible Experiences Through VR for People with Dementia in Locked Psychiatric Hospitals
Authors: family: Tabbaa
given: Luma; family: Ang
given: Chee Siang; family: Rose
given: Vienna; family: Siriaraya
given: Panote; family: Stewart
given: Inga; family: Jenkins
given: Keith G.; family: Matsangidou
given: Maria
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: dementia, virtual reality, person-centred care, patient-centred design, long-term care, locked psychiatric hospital

Abstract: Many people with dementia (PWD) residing in long-term care may face barriers in accessing experiences beyond their physical premises; this may be due to location, mobility constraints, legal mental health act restrictions, or offence-related restrictions. In recent years, there have been research interests towards designing non-pharmacological interventions aiming to improve the Quality of Life (QoL) for PWD within long-term care. We explored the use of Virtual Reality (VR) as a tool to provide 360°-video based experiences for individuals with moderate to severe dementia residing in a locked psychiatric hospital. We discuss at depth the appeal of using VR for PWD, and the observed impact of such interaction. We also present the design opportunities, pitfalls, and recommendations for future deployment in healthcare services. This paper demonstrates the potential of VR as a virtual alternative to experiences that may be difficult to reach for PWD residing within locked setting.
Title: Clairbuoyance: Improving Directional Perception for Swimmers
Authors: family: Kiss
given: Francisco; family: Woźniak
given: Paweł W.; family: Scheerer
given: Felix; family: Dominiak
given: Julia; family: Romanowski
given: Andrzej; family: Schmidt
given: Albrecht
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: hci for sports, orientation, navigation, swimming

Abstract: While we usually have no trouble with orientation, our sense of direction frequently fails in the absence of a frame of reference. Open-water swimmers raise their heads to look for a reference point, since disorientation might result in exhaustion or even drowning. In this paper, we report on Clairbuoyance - a system that provides feedback about the swimmer's orientation through lights mounted on swimming goggles. We conducted an experiment with two versions of Clairbuoyance: Discrete signals relative to a chosen direction, and continuous signals providing a sense of absolute direction. Participants swam to a series of targets. Proficient swimmers preferred the discrete mode; novice users the continuous one. We determined that both versions of Clairbuoyance enabled reaching the target faster than without the help of the system, although the discrete mode increased error. Based on the results, we contribute insights for designing directional guidance feedback for swimmers.
Title: Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
Authors: family: Yang
given: Qian; family: Steinfeld
given: Aaron; family: Zimmerman
given: John
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: decision support systems, healthcare, user experience

Abstract: Clinical decision support tools (DST) promise improved healthcare outcomes by offering data-driven insights. While effective in lab settings, almost all DSTs have failed in practice. Empirical research diagnosed poor contextual fit as the cause. This paper describes the design and field evaluation of a radically new form of DST. It automatically generates slides for clinicians' decision meetings with subtly embedded machine prognostics. This design took inspiration from the notion of Unremarkable Computing, that by augmenting the users' routines technology/AI can have significant importance for the users yet remain unobtrusive. Our field evaluation suggests clinicians are more likely to encounter and embrace such a DST. Drawing on their responses, we discuss the importance and intricacies of finding the right level of unremarkableness in DST design, and share lessons learned in prototyping critical AI systems as a situated experience.
Title: AI-Mediated Communication: How the Perception that Profile Text was Written by AI Affects Trustworthiness
Authors: family: Jakesch
given: Maurice; family: French
given: Megan; family: Ma
given: Xiao; family: Hancock
given: Jeffrey T.; family: Naaman
given: Mor
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: ai-mc, cmc, artificial intelligence, trust

Abstract: We are entering an era of AI-Mediated Communication (AI-MC) where interpersonal communication is not only mediated by technology, but is optimized, augmented, or generated by artificial intelligence. Our study takes a first look at the potential impact of AI-MC on online self-presentation. In three experiments we test whether people find Airbnb hosts less trustworthy if they believe their profiles have been written by AI. We observe a new phenomenon that we term the Replicant Effect: Only when participants thought they saw a mixed set of AI- and human-written profiles, they mistrusted hosts whose profiles were labeled as or suspected to be written by AI. Our findings have implications for the design of systems that involve AI technologies in online self-presentation and chart a direction for future work that may upend or augment key aspects of Computer-Mediated Communication theory.
Title: Magnetact: Magnetic-sheet-based Haptic Interfaces for Touch Devices
Authors: family: Yasu
given: Kentaro
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: magnet, rapid prototyping, tangible, touch display, diy, haptic, interface

Abstract: We describe a method for rapid prototyping of haptic interfaces for touch devices. A sheet-like touch interface is constructed from magnetic rubber sheets and conductive materials. The magnetic sheet is thin, and the capacitive sensor of the touch device can still detect the user's finger above the sheet because of the rubber's dielectric nature. Furthermore, tactile feedback can be customized with ease by using our magnetizing toolkit to change the magnetic patterns. Using the magnetizing toolkit, we investigated the appropriate size and thickness of haptic interfaces and demonstrated several interfaces such as buttons, sliders, switches, and dials. Our method is an easy and convenient way to customize the size, shape, and haptic feedback of a wide variety of interfaces.
Title: Virtual Hubs: Understanding Relational Aspects and Remediating Incubation
Authors: family: Luik
given: Jandy; family: Ng
given: Jenna; family: Hook
given: Jonathan
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: digital incubation, virtual hubs, remediation, relational aspects, incubators and accelerators

Abstract: We have recently seen the emergence of new platforms that aim to provide remotely located entrepreneurs and startup companies with support analogous to that found within traditional incubation or acceleration spaces. This paper offers an understanding of these 'virtual hubs', and the inherently socio-technical interactions that occur between their members. Our study analyzes a sample of existing virtual hubs in two stages. First, we contribute broader insight into the current landscape of virtual hubs by documenting and categorizing 25 hubs regarding their form, support offered and a selection of further qualities. Second, we contribute detailed insight into the operation and experience of such hubs, from an analysis of 10 semi-structured interviews with organizers and participants of virtual hubs. We conclude by analyzing our findings in terms of relational aspects of non-virtual hubs from the literature and remediation theory, and propose opportunities for advancing the design of such platforms.
Title: Impulse Buying: Design Practices and Consumer Needs
Authors: family: Moser
given: Carol; family: Schoenebeck
given: Sarita Y.; family: Resnick
given: Paul
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: dark patterns, e-commerce, self-control, behavior change

Abstract: E-commerce sites have an incentive to encourage impulse buying, even when not in the consumer's best interest. This study investigates what features e-commerce sites use to encourage impulse buying and what tools consumers desire to curb their online spending. We present two studies: (1) a systematic content analysis of 200 top e-commerce websites in the U.S. and (2) a survey of online impulse buyers (N=151). From Study 1, we find that e-commerce sites contain multiple features that encourage impulsive buying, including those that lower perceived risks, leverage social influence, and enhance perceived proximity to the product. Conversely, from Study 2 we find that online impulse buyers want tools that (a) encourage deliberation and avoidance, (b) enforce spending limits and postponement, (c) increase checkout effort, (d) make costs more salient, and (e) reduce product desire. These findings inform the design of "friction'' technologies that help users make more deliberative consumer choices.
Title: Communication Breakdowns Between Families and Alexa
Authors: family: Beneteau
given: Erin; family: Richards
given: Olivia K.; family: Zhang
given: Mingrui; family: Kientz
given: Julie A.; family: Yip
given: Jason; family: Hiniker
given: Alexis
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: digital home assistants, human computer interaction, families, communication repairs, joint media engagement

Abstract: We investigate how families repair communication breakdowns with digital home assistants. We recruited 10 diverse families to use an Amazon Echo Dot in their homes for four weeks. All families had at least one child between four and 17 years old. Each family participated in pre- and post- deployment interviews. Their interactions with the Echo Dot (Alexa) were audio recorded throughout the study. We analyzed 59 communication breakdown interactions between family members and Alexa, framing our analysis with concepts from HCI and speech-language pathology. Our findings indicate that family members collaborate using discourse scaffolding (supportive communication guidance) and a variety of speech and language modifications in their attempts to repair communication breakdowns with Alexa. Alexa's responses also influence the repair strategies that families use. Designers can relieve the communication repair burden that primarily rests with families by increasing digital home assistants' abilities to collaborate together with users to repair communication breakdowns.
Title: Data is Personal: Attitudes and Perceptions of Data Visualization in Rural Pennsylvania
Authors: family: Peck
given: Evan M.; family: Ayuso
given: Sofia E.; family: El-Etr
given: Omar
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: data, information literacy, rural, information visualization

Abstract: Many of the guidelines that inform how designers create data visualizations originate in studies that unintentionally exclude populations that are most likely to be among the 'data poor'. In this paper, we explore which factors may drive attention and trust in rural populations with diverse economic and educational backgrounds - a segment that is largely underrepresented in the data visualization literature. In 42 semi-structured interviews in rural Pennsylvania (USA), we find that a complex set of factors intermix to inform attitudes and perceptions about data visualization - including educational background, political affiliation, and personal experience. The data and materials for this research can be found at https://osf.io/uxwts/
Title: HCI and Affective Health: Taking stock of a decade of studies and charting future research directions
Authors: family: Sanches
given: Pedro; family: Janson
given: Axel; family: Karpashevich
given: Pavel; family: Nadal
given: Camille; family: Qu
given: Chengcheng; family: Daudén Roquet
given: Claudia; family: Umair
given: Muhammad; family: Windlin
given: Charles; family: Doherty
given: Gavin; family: Höök
given: Kristina; family: Sas
given: Corina
Venue: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
Keywords: innovation, clinical trials, ethical issues, affective disorders, literature review

Abstract: In the last decade, the number of articles on HCI and health has increased dramatically. We extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of SIGCHI conference proceedings. 72 of these were published in the last two years. A systematic analysis of this growing body of literature revealed that most innovation happens in automated diagnosis, and self-tracking, although there are innovative ideas in tangible interfaces. We noted an overemphasis on data production without consideration of how it leads to fruitful interventions. Moreover, we see a need to promote ethical practices for involvement of people living with affective disorders. Finally, although only 16 studies evaluate technologies in a clinical context, several forms of support and intervention illustrate how rich insights are gained from evaluations with real patients. Our findings highlight potential for growth in the design space of affective health technologies.