huashen218/convxai-cia-dataset huggingface dataset:
Title: Human-AI Interaction in Human Resource Management: Understanding Why Employees Resist Algorithmic Evaluation at Workplaces and How to Mitigate Burdens
Authors: family: Park
given: Hyanghee; family: Ahn
given: Daehwan; family: Hosanagar
given: Kartik; family: Lee
given: Joonhwan
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Transparency, Explainable AI (XAI), Human resource management (HRM), Human-AI collaboration, Fair and responsible AI, Algorithmic management, Algorithm aversion, Artificial intelligence (AI), Trust, Algorithmic fairness, User burden, Adoption, Interpretability

Abstract: Recently, Artificial Intelligence (AI) has been used to enable efficient decision-making in managerial and organizational contexts, ranging from employment to dismissal. However, to avoid employees’ antipathy toward AI, it is important to understand what aspects of AI employees like and/or dislike. In this paper, we aim to identify how employees perceive current human resource (HR) teams and future algorithmic management. Specifically, we explored what factors negatively influence employees’ perceptions of AI making work performance evaluations. Through in-depth interviews with 21 workers, we found that 1) employees feel six types of burdens (i.e., emotional, mental, bias, manipulation, privacy, and social) toward AI's introduction to human resource management (HRM), and that 2) these burdens could be mitigated by incorporating transparency, interpretability, and human intervention to algorithmic decision-making. Based on our findings, we present design efforts to alleviate employees’ burdens. To leverage AI for HRM in fair and trustworthy ways, we call for the HCI community to design human-AI collaboration systems with various HR stakeholders.
Title: Effects of Semantic Segmentation Visualization on Trust, Situation Awareness, and Cognitive Load in Highly Automated Vehicles
Authors: family: Colley
given: Mark; family: Eder
given: Benjamin; family: Rixen
given: Jan Ole; family: Rukzio
given: Enrico
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Autonomous vehicles, self-driving vehicles, semantic segmentation.

Abstract: Autonomous vehicles could improve mobility, safety, and inclusion in traffic. While this technology seems within reach, its successful introduction depends on the intended user’s acceptance. A substantial factor for this acceptance is trust in the autonomous vehicle’s capabilities. Visualizing internal information processed by an autonomous vehicle could calibrate this trust by enabling the perception of the vehicle’s detection capabilities (and its failures) while only inducing a low cognitive load. Additionally, the simultaneously raised situation awareness could benefit potential take-overs. We report the results of two comparative online studies on visualizing semantic segmentation information for the human user of autonomous vehicles. Effects on trust, cognitive load, and situation awareness were measured using a simulation (N=32) and state-of-the-art panoptic segmentation on a pre-recorded real-world video (N=41). Results show that the visualization using Augmented Reality increases situation awareness while remaining low cognitive load.
Title: Let’s Share a Ride into the Future: A Qualitative Study Comparing Hypothetical Implementation Scenarios of Automated Vehicles
Authors: family: Schuß
given: Martina; family: Wintersberger
given: Philipp; family: Riener
given: Andreas
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: shared automated vehicles, inclusive design., enactment, Automated driving

Abstract: Automated Vehicles (AVs) are expected to radically disrupt our mobility. Whereas much is speculated about how AVs will actually be implemented in the future, we argue that their advent should be taken as an opportunity to enhance all people’s mobility and improve their lives. Thus, it is important to focus on both the environment and the needs of target groups that have not been sufficiently considered in the past. In this paper, we present the findings from a qualitative study (N=11) of public attitude on hypothetical implementation scenarios for AVs. Our results indicate that people are aware of the benefits of shared mobility for the environment and society, and are generally open to using it. However, 1) emotional factors mitigate this openness and 2) security concerns were expressed by female participants. We recommend that identified concerns must be addressed to allow AVs fully exploiting their benefits for society and environment.
Title: Calibrating Pedestrians' Trust in Automated Vehicles: Does an Intent Display in an External HMI Support Trust Calibration and Safe Crossing Behavior?
Authors: family: M. Faas
given: Stefanie; family: Kraus
given: Johannes; family: Schoenhals
given: Alexander; family: Baumann
given: Martin
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: transparency, trust in automation, Self-driving vehicles, pedestrians, malfunction, external human-machine interface, automated vehicles

Abstract: Policymakers recommend that automated vehicles (AVs) display their automated driving status using an external human-machine interface (eHMI). However, previous studies suggest that a status eHMI is associated with overtrust, which might be overcome by an additional yielding intent message. We conducted a video-based laboratory study (N = 67) to investigate pedestrians’ trust and crossing behavior in repeated encounters with AVs. In a 2x2 between-subjects design, we investigated (1) the occurrence of a malfunction (AV failing to yield) and (2) system transparency (status eHMI vs. status+intent eHMI). Results show that during initial encounters, trust gradually increases and crossing onset time decreases. After a malfunction, trust declines but recovers quickly. In the status eHMI group, trust was reduced more, and participants showed 7.3 times higher odds of colliding with the AV as compared to the status+intent group. We conclude that a status eHMI can cause pedestrians to overtrust AVs and advocate additional intent messages.
Title: A Taxonomy of Vulnerable Road Users for HCI Based On A Systematic Literature Review
Authors: family: Holländer
given: Kai; family: Colley
given: Mark; family: Rukzio
given: Enrico; family: Butz
given: Andreas
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: vulnerable road users, Automated vehicles, eHMIs, external communication, taxonomy

Abstract: Recent automotive research often focuses on automated driving, including the interaction between automated vehicles (AVs) and so-called “vulnerable road users” (VRUs). While road safety statistics and traffic psychology at least define VRUs as pedestrians, cyclists, and motorcyclists, many publications on human-vehicle interaction use the term without even defining it. The actual target group remains unclear. Since each group already poses a broad spectrum of research challenges, a one-fits-all solution seems unrealistic and inappropriate, and a much clearer differentiation is required. To foster clarity and comprehensibility, we propose a literature-based taxonomy providing a structured separation of (vulnerable) road users, designed to particularly (but not exclusively) support research on the communication between VRUs and AVs. It consists of two conceptual hierarchies and will help practitioners and researchers by providing a uniform and comparable set of terms needed for the design, implementation, and description of HCI applications.
Title: What Matters in Professional Drone Pilots’ Practice? An Interview Study to Understand the Complexity of Their Work and Inform Human-Drone Interaction Research
Authors: family: Ljungblad
given: Sara; family: Man
given: Yemao; family: Baytaş
given: Mehmet Aydın; family: Gamboa
given: Mafalda; family: Obaid
given: Mohammad; family: Fjeld
given: Morten
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: pilots, professionals, Drones, piloting, interview study, quadcopters

Abstract: Human-drone interaction is a growing topic of interest within HCI research. Researchers propose many innovative concepts for drone applications, but much of this research does not incorporate knowledge on existing applications already adopted by professionals. This limits the validity of said research. To address this limitation, we present our findings from an in-depth interview study with 10 professional drone pilots. Our participants were armed with significant experience and qualifications – pertinent to both drone operations and a set of applications covering diverse industries. Our findings have resulted in design recommendations that should inform both ends and means of human-drone interaction research. These include, but are not limited to: safety-related protocols, insights from domain-specific use cases, and relevant practices outside of hands-on flight.
Title: Disagree? You Must be a Bot! How Beliefs Shape Twitter Profile Perceptions
Authors: family: Wischnewski
given: Magdalena; family: Bernemann
given: Rebecca; family: Ngo
given: Thao; family: Krämer
given: Nicole
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: social bots, bias, partisanship, credibility, Twitter, motivated reasoning

Abstract: In this paper, we investigate the human ability to distinguish political social bots from humans on Twitter. Following motivated reasoning theory from social and cognitive psychology, our central hypothesis is that especially those accounts which are opinion-incongruent are perceived as social bot accounts when the account is ambiguous about its nature. We also hypothesize that credibility ratings mediate this relationship. We asked N = 151 participants to evaluate 24 Twitter accounts and decide whether the accounts were humans or social bots. Findings support our motivated reasoning hypothesis for a sub-group of Twitter users (those who are more familiar with Twitter): Accounts that are opinion-incongruent are evaluated as relatively more bot-like than accounts that are opinion-congruent. Moreover, it does not matter whether the account is clearly social bot or human or ambiguous about its nature. This was mediated by perceived credibility in the sense that congruent profiles were evaluated to be more credible resulting in lower perceptions as bots.
Title: ExplAIn Yourself! Transparency for Positive UX in Autonomous Driving
Authors: family: Schneider
given: Tobias; family: Hois
given: Joana; family: Rosenstein
given: Alischa; family: Ghellal
given: Sabiha; family: Theofanou-Fülbier
given: Dimitra; family: Gerlicher
given: Ansgar R.S.
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: autonomous driving, explainable artificial intelligence, user experience

Abstract: In a fully autonomous driving situation, passengers hand over the steering control to a highly automated system. Autonomous driving behaviour may lead to confusion and negative user experience. When establishing such new technology, the user’s acceptance and understanding are crucial factors regarding success and failure. Using a driving simulator and a mobile application, we evaluated if system transparency during and after the interaction can increase the user experience and subjective feeling of safety and control. We contribute an initial guideline for autonomous driving experience design, bringing together the areas of user experience, explainable artificial intelligence and autonomous driving. The AVAM questionnaire, UEQ-S and interviews show that explanations during or after the ride help turn a negative user experience into a neutral one, which might be due to the increased feeling of control. However, we did not detect an effect for combining explanations during and after the ride.
Title: Safety, Connection and Reflection: Designing with Therapists for Children with Serious Emotional Behaviour Issues
Authors: family: Loke
given: Lian; family: Blishen
given: Aaron; family: Gray
given: Carl; family: Ahmadpour
given: Naseem
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: social emotional learning, trauma, reflection, emotion regulation, children, framework, therapy, safety, experience

Abstract: Designing technologies to support mental health in children is a growing area of research. However less is known about how to design with therapists for children with serious emotional behaviour issues. We conducted a contextual enquiry at an organisation that provides therapy treatment for children of trauma backgrounds. A co-design with therapists of a reflective storytelling activity provided insight into how to integrate design research activities with therapy approaches. Our analysis produced a framework summarising the important elements of a facilitated reflective experience. The framework is intended to guide the design of technologies to support safety, connection, and reflection in scaffolding social emotional learning towards improved emotional behaviour for children. Future directions for applying the framework include: augmenting existing therapy activities with technology, technology to support children learning how to self-regulate their emotions outside the clinic, and technology to help parents in emotion coaching their child.
Title: Expressivity in Interaction: a Framework for Design
Authors: family: Bruns
given: Miguel; family: Ossevoort
given: Stijn; family: Petersen
given: Marianne Graves
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Framework, Design Case, Research-through-Design, Expressivity in Interaction

Abstract: Expressivity is frequently recurring as a term in HCI, but it is often approached from different perspectives. Affective computing prompted research into emotional expressivity, and with technology becoming more ubiquitous and tangible, the opportunities for expressive behaviors towards systems as well as the expressivity of systems increases. By analyzing exemplar research-through-design cases and a literature survey on the use of expressivity in interaction, we discuss how different perspectives and concepts contribute to understand expressivity in interaction. We integrate these perspectives and make them operational for interaction design by creating a framework including design considerations such as freedom of interaction, action-perception loops, multimodality, subtlety, ambiguity, skill development and temporal form. The framework is a result of a mixed-method approach including a review of existing definitions and scholarly artefacts, and a systematic literature review to identify design cases including an analysis of these design cases. We finally illustrate how the framework has been used to inform the design of a shape-changing soft-robotic interface. As a result, we contribute an integrated framework on how to design for expressivity in interaction.
Title: ADIO: An Interactive Artifact Physically Representing the Intangible Digital Audiobook Listening Experience in Everyday Living Spaces
Authors: family: Lee
given: Kyung-Ryong; family: Kim
given: Beom; family: Kim
given: Junyoung; family: Hong
given: Hwajung; family: Park
given: Young-Woo
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Data physicalization, Physical interaction, Audiobook, Digital possession

Abstract: Although audiobooks are increasingly being used, people tend to perceive audiobook experiences as 'not real reading' due to its intangibility and ephemerality. In this paper, we developed ADIO, a device augmenting audiobook experience through representing personal listening state in the form of an interactive physical bookshelf. ADIO displays a user's listening progress through a pendant's changing length and the user's digital audiobook archive titles. The result of our four-week in-field study with six participants revealed that ADIO provided proof of the user's listening-to, which brought a sense of reading and gave a trigger for recalling the listened-to audiobook content. Additionally, audiobooks' improved visibility reminded participants to listen to them, and ADIO's physical interaction allowed participants to form personal patterns for listening to audiobooks. Our findings proposed new methods for augmenting the audiobook listening experience at three stages and further implications for designing physical curation on users’ digital archives.
Title: Proceed with Care: Reimagining Home IoT Through a Care Perspective
Authors: family: Key
given: Cayla; family: Browne
given: Fiona; family: Taylor
given: Nick; family: Rogers
given: Jon
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: things, research-through-design, care ethics, design ethnography, care, smart home, Internet of things, home

Abstract: As the internet is increasingly embedded in the everyday things in our homes, we notice a need for greater focus on the role care plays in those relationships—and therefore an opportunity to realize unseen potential in reimagining home Internet of Things (IoT). In this paper we report on our inquiry of home dwellers’ relationships to caring for their everyday things and homes (referred to as thingcare). Findings from our design ethnography reveal four thematic qualities of their relationships to thingcare: Care Spectacle, Care Liminality, Ontological Braiding, and Care Condition. Using these themes as touchstones, we co-speculated to produce four speculative IoT concepts to explore what care as a design ethic might look like for IoT and reflect on nascent opportunities and challenges for domestic IoT design. We conclude by considering structures of power and privilege embedded within care practices that critically open new design imaginaries for IoT.
Title: Understanding Everyday Experiences of Reminiscence for People with Blindness: Practices, Tensions and Probing New Design Possibilities
Authors: family: Yoo
given: MinYoung; family: Odom
given: William; family: Berger
given: Arne
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Interaction Design, Digital Memories, Reminiscence, People with Blindness

Abstract: There is growing attention in the HCI community on how technology could be designed to support experiences of reminiscence on past life experiences. Yet, this research has largely overlooked people with blindness. We present a study that aims to understand everyday experiences of reminiscence for people with blindness. We conducted a qualitative study with 9 participants with blindness to understand their personal routines, wishes and desires, and challenges and tensions regarding the experience of reminiscence. Findings are interpreted to discuss new possibilities that offer starting points for future design initiatives and openings for collaboration aimed at creating technology to better support the practices of capturing, sharing, and reflecting on significant memories of the past.
Title: Blending into Everyday Life: Designing a Social Media-Based Peer Support System
Authors: family: Lambton-Howard
given: Daniel; family: Simpson
given: Emma; family: Quimby
given: Kim; family: Kharrufa
given: Ahmed; family: Hoi Ming Ng
given: Heidi; family: Foster
given: Emma; family: Olivier
given: Patrick
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Design of peer support, Unplatformed Design, Social media

Abstract: Peer support through social media has been shown to have significant potential to improve health care outcomes. Despite this, very little is understood about how to design a social media-based peer support system. We use the model of unplatformed design to structure a multi-phase design process of a WhatsApp-based peer support system, with and for participants undergoing extreme weight loss as part of a health care intervention into diabetes management. From a mixed-methods evaluation of a three-month deployment of the system and reflections upon the design process we explore the value of the model in facilitating the expression of authentic peer support, and identify how the unique characteristics of unplatformed design allowed for the creation of a peer support system that was responsive to participants’ existing everyday use of social media technologies.
Title: What Happens After Death? Using a Design Workbook to Understand User Expectations for Preparing their Data
Authors: family: Chen
given: Janet X.; family: Vitale
given: Francesco; family: McGrenere
given: Joanna
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Death, digital legacy, design, data management, design workbook

Abstract: Digital data has become a key part of everyday life: people manage increasingly large and disparate collections of photos, documents, media, etc. But what happens after death? How can users select and prepare what data to leave behind before their eventual death? To explore how to support users, we first ran an ideation workshop to generate design ideas; then, we created a design workbook with 12 speculative concepts that explore diverging approaches and perspectives. We elicited reactions to the concepts from 20 participants (18-81, varied occupations). We found that participants anticipated different types of motivation at different life stages, wished for tools to feel personal and intimate, and preferred individual control on their post-death self-representation. They also found comprehensive data replicas creepy and saw smart assistants as potential aides for suggesting meaningful data. Based on the results, we discuss key directions for designing more personalized and respectful death-preparation tools.
Title: Keeper: A Synchronous Online Conversation Environment Informed by In-Person Facilitation Practices
Authors: family: Hughes
given: Margaret A.; family: Roy
given: Deb
Venue: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems
Keywords: Circle, facilitation, HCI, interface design

Abstract: Facilitation, or the craft and use of specific tools, methods, and practices to influence the way groups gather and converse to reach a goal, requires the nuanced craft of a facilitator to guide complex conversations. Online gathering spaces are often designed with neither the facilitator’s knowledge nor the range of tools their methods require, making online facilitation difficult. In this paper, we describe the design and evaluation of Keeper – an online video call extension environment – informed by the widespread, foundational facilitation method of Circle practice. We define three initial facilitator-driven goals of the platform: 1) enable tone setting, 2) ease the practice and smoothness of online conversation, and 3) improve social presence. After a qualitative study with 72 participants, semi-structured interviews with facilitators, and an RCT with 100 participants, we observe improved tone setting and ease of conversation and suggest several ways to further pursue improved online conversation.