Reviewerly/exHarmony huggingface dataset:
I create, therefore I agree: Exploring the effect of AI anthropomorphism on human decision-making

Artificial intelligence (AI) has been widely adopted daily, and much academic effort has been directed to investigate the influencing factors of human acceptance and collaboration with it. Anthropomorphism can effectively foster positive evaluations of inanimate objects, and AI is no exception. The current study investigates how naming and personalizing an AI prototype’s appearance affect the human decision in a recipe ingredient recommendation system and finds that people are more likely to accept AI’s recommendation if they could name and customize its appearance than if they did not have the options.
A Proposal to Study Shoulder-Surfing Resistant Authentication for Augmented and Virtual Reality: Replication Study in the US

In recent years, augmented and virtual reality (AR/VR) technologies have advanced significantly, becoming more accessible and practical for various industries and applications. However, new digital threats have emerged as AR/VR usage increases such as data exchange in shared spaces. Prior research on graphical authentication has proposed the Things scheme [21] and we plan to adapt this in the AR/VR domain. The scheme in combination with the private display available to users in AR/VR is resistant to shoulder-surfing attacks. Inspired by the work of Duezguen et al. [12], who conducted a user study applying the Things scheme in AR with 16 users in Germany, this short paper proposes a replication study that will implement the Things scheme in both AR and VR. We will recruit eligible participants for the in-lab study which will involve the use of HoloLens and Valve Index to test the Things scheme and we will evaluate the effectiveness of the scheme, the interaction modes for usability, and users’ risk perception concerning security. Additionally, we will conduct a comparative analysis of cross-cultural disparities between the participants in Germany and in the USA.
Understanding and Evaluating UX Outcomes at Scale

Evaluating the success of applications from a summative perspective is essential to many industry researchers’ roles, yet a thorough understanding of what to measure and how to bridge business frameworks remains elusive. New technologies and novel ways of interacting with applications have garnered domain-specific interest in evaluating these experiences, but there is yet to be clarity or a path forward for a general methodological approach. While experience outcomes, UX OKRs, UX metrics, UX health, etc., are essential elements in HCI research and design, it has not become a core topic in HCI courses. This workshop aims to address this gap by bringing together academics and industry researchers involved in the measurement of success around large-scale applications – applications with a large user base. The objective of this workshop will be to engage in dynamic discussions around current evaluative experiences, how we move forward to produce valuable and unified updates to this topic, and a plan to do so. The workshop will specifically look at the value of writing a State of the Union paper, developing a community (e.g., SIG), and exploring education and training opportunities around this topic.
Plug and Play Conversations: The Micro-Conversation Scheme for Modular Development of Hybrid Conversational Agent

Conversational agents (CAs) for psychotherapy pose unique challenges (e.g., reliance on domain experts to pre-script large amounts of therapeutical dialogues). To tackle these challenges, we propose a modular approach to develop such CA, called Micro-Conversation Scheme (MCS). Conversations can be algorithmically extended in MCS by combining different micro-conversations (MC), which isolate single therapeutical topic. The sequencing of MC is managed by a Connector component, connecting MC into longer conversations with context. Additionally, MCS integrates natural language generation (NLG) models as plugins for generating counseling-style utterances (e.g., reflections). Moreover, MCS adopts interactive learning to continuously improve CA based on human feedback. MCS provides a solution to the challenges of complex-to-design and difficult-to-extend conversations, and inability of CA to flexibly generate context-appropriate counseling-style utterances for psychotherapy. MCS is expected to benefit the community by promoting the collaboration between conversational designers and developers while preserve their independence during the development of CAs.
Back to “ Back to Labor” : Revisiting Political Economies of Computer-Supported Cooperative Work

Almost thirty years ago, CSCW published an article written by Joan Greenbaum detailing how and why CSCW should consider the framing of “labor” over “work” in researching and designing information systems [17]. This argument is especially salient in the present day, with the increasing wariness of algorithmically-mediated monitoring, surveillance, automation, and management in work processes. Despite its salience, Greenbaum’s paper has had relatively low engagement in CSCW so far. As such, this workshop responds to Greenbaum’s call-to-action, asking: 1) Where is CSCW research now in thinking about “work” vs. “labor” in designing systems? and 2) How can we support emerging CSCW scholars in grounding themselves in theories of work that includes—if not centers—a labor-oriented economic frame? Following a Freirean pedagogy model of social action involving a cycle of reflection and action, this workshop will aim to generate a critical consciousness around labor issues in CSCW. Ultimately, by crafting individual commitments to labor, this workshop will aim to contribute to a more worker-centered future.
ChatGPT in Healthcare: Exploring AI Chatbot for Spontaneous Word Retrieval in Aphasia

Having a word on the tip of one’s tongue can be frustrating. Individuals with a language disorder like aphasia, however, face this experience regularly, making it both stressful and debilitating. Large language models, such as ChatGPT, have been gaining traction in healthcare recently. They could enable digital voice assistants to help people find what they want to say during a conversation. However, research on the topic is still not mature. Our study aims at providing a first exploration of the potential use of LLMs for aphasia. Specifically, we aim to examine whether ChatGPT can aid in word retrieval in aphasia. In our study, ChatGPT is tested on real-life speech samples of people with aphasia using the AphasiaBank corpus. Additionally, we investigate whether ChatGPT can utilize politeness strategies. We found ChatGPT to be accurate in identifying the intended word 91.67% of the time as well as successful in incorporating politeness strategies.
Understanding and Supporting Autistic Adults in Livestreaming

In my work, I aim to develop opportunities for autistic adults to flourish in online social spaces. I focus on investigating how autistic adults experience social livestreaming platforms such as Twitch.tv and Youtube live so that we can develop tools to support them as streamers. Through interviews with autistic livestreamers, my work provides a first account of the challenges facing autistic livestreamers and also the benefits they experience from streaming, including access to social interactions, gaining control of a public space, and promoting autistic identity. From these findings, I plan to work together with autistic livestreamers using co-design processes to develop tools that improve their experience of livestreaming platforms.
Body Crumple, Sound Intrusion, and Embodiment Violation: Toward a Framework for Miscommunication in VR

The advent of widely-accessible VR has enabled individuals to communicate—and miscommunicate—in new ways. To explore these miscommunications, we introduce a preliminary framework based on events that occurred during 3600 minutes of observation inside a university course taught in VR. During the course, 250 people met in groups for about 20 minutes per session. We identify three types of miscommunication that routinely occurred: body crumple, sound intrusion, and embodiment violation. By mapping the affordances by which social VR fails to facilitate effective communication, we hope to provide educators, developers, and virtual ethnographers with a means for understanding and navigating the challenges of VR-based collaboration.
How to Ethically Engage Fat People in HCI Research

How we research and represent people and communities that may be marginalized or vulnerable is a highly relevant question for our research practices. One particular group that has received some recent attention from HCI and CSCW researchers is fat people and, relatedly, anti-fatness. However, more work is needed to understand how to ethically engage in research with fat people–for example, in studying online communities or designing technology. Toward this goal, we provide a brief introduction to fat people, fat activism, and fat oppression so researchers may understand the social, political, and historical landscape in which research with and about fat people takes place. Based on empirical findings from an interview study, we then provide recommendations for researchers wishing to engage fat people in future research.
Quantum walks on simplexes and multiple perfect state transfer

Abstract In this paper, we study quantum walks on the extension of association schemes. Various state transfers can be achieved on these graphs, such as multiple state transfer among extreme points of a simplex, fractional revival on subsimplexes. Since only few examples of multiple (perfect) state transfer are known, we aim to make some additions in this collection.
Conceptualizing Indigeneity in Social Computing

There has been little effort in conceptualizing indigeneity in social computing, despite the concept being central to decolonial and postcolonial perspectives, which scholars have increasingly used in computing research for over a decade. It is crucial to reflect on who can be considered indigenous in the spirit of inclusion and reclamation since the underdevelopment of this concept and the nuances, differences, relationships, and overlaps between indigeneity and colonial marginalization may silence different populations in research. The workshop aims to bring together scholars whose works are associated with different local and indigenous cultures and their technology practices and experiences to initiate conversations around three themes: (a) defining indigeneity and identifying indigenous communities in social computing, (b) recognition in different sociopolitical contexts, and (c) contributions to social computing.
Lady Bugs: Collaborative Interface for Exploring Creative Error and Uncertainty

Lady Bugs is an audio-visual installation that invites multiple users to experience and contemplate how technological errors and uncertainty, often viewed as ‘bugs’ to be eliminated, may foster creativity in computing inquiry. This work involves a custom-designed nonlinear audio-visual system, allowing the users to discover error-engaged and unanticipated sonic and graphical aesthetic collaboratively. This paper explains the background and details of this installation and discusses the value and risks of featuring such an error-engaged way of learning and making in HCI and CSCW.
Studying Multi-dimensional Marginalization of Identity from Decolonial and Postcolonial Perspectives

My research contributes to understanding how colonialism marginalized people in the Global South across various dimensions of identity (e.g., race, gender, sexuality, religion, caste, nationality), how sociotechnical systems reinstate colonial structures and values, and how computing platforms both support and impede colonially marginalized communities’ identity expression and performances. Building on decolonial and postcolonial perspectives with a historicist sensibility, my mixed-method empirical studies on various sites (e.g., Quora, YouTube) highlight users’ agency, the role of content moderation, algorithms, and online communities in the inclusion of culturally diverse native Bengali identities. In doing so, my work informs the broader social computing literature on identity, content moderation, fairness and bias, social justice, and ICTD.
Mastodon Rules: Characterizing Formal Rules on Popular Mastodon Instances

Federated social networking is an increasingly popular alternative to more traditional, centralized forms. Yet, this federated arrangement can lead to dramatically different experiences across the network. Using a sample of the most popular instances on the federated social network Mastodon, we characterize the types of rules present in this emerging space. We then compare these rules to those on Reddit, as an example of a different, less centralized space. Rules on Mastodon often pay particular attention to issues of harassment and hate — strongly reflecting the spirit of the Mastodon Covenant. We speculate that these rules may have emerged in response to problems of other platforms, and reflect a lack of support for instance maintainers. With this work, we call for the development of additional instance-level governance and technical scaffolding, and raise questions for future work into the development, values, and value tensions present in the broader federated social networking landscape.
Examining Race in Healthcare-Focused HCI Research

The human-computer interaction community has a long tradition of conducting research in healthcare settings. We conducted a systematic review of how race is defined and discussed in healthcare-focused HCI research. Beginning with an initial set of 514 articles drawn from two major HCI venues, we applied exclusion criteria resulting in a data set of 29 articles. We found considerable variation in definitions of race across articles, with some focusing on physical appearances, others on sociocultural differences, and still others not providing any explicit definition of race. This variation was further reflected in the method used to identify participants race and the level of specificity used in categorizing participants’ race and ethnicity. Additionally, many articles engagement with race and racial disparities in minor ways, with some articles proposing racial equity as an avenue for future work without attending to race in their current investigation. Finally, we found that most articles studied patients and end users, leaving unexamined the practices and perspectives of healthcare practitioners and institutions. We conclude with suggestions advocating greater clarity and consciousness around race, racism, and racial disparities in healthcare focused HCI research.
Ambiguity for Social Self-tracking Practices: Exploring an Emerging Design Space

Ambiguity is gaining attention in self-tracking research as a means to go beyond the mere quantification of body signals. Recent research has suggested that ambiguity can be used even to enable social connection mediated by personal data. To explore this design space more widely, we organized two design workshops with a total of 67 participants. In this paper, we present three design concepts, as outcomes of the workshops, which use ambiguity to enable social self-tracking practices. We then discuss how these concepts demonstrate the potential of ambiguity to encourage collective sense-making, directly impact the user’s social relationships, and offer multifaceted perspectives on reality.
"\"I Don't Need a Megaphone to Be Helpful\": Probing the Role of Technology in Pro-Choice Abortion Activism"

The legality of abortion in the United States of America is rapidly shifting, creating a nebulous, challenging context for pro-choice abortion activists. In this in-progress work, we align ourselves with pro-choice activism as "academic accomplices" and investigate the technological habits and needs of pro-choice activists in the conservative US state of Indiana. To date, we have conducted 14 design interviews with potential / current pro-choice activists in Bloomington, Indiana, and have designed a cultural probe to examine the role of technology in pro-choice activism. We aim to understand the challenges of pro-choice activism and opportunities for supportive technology.
Urgency Builds Trust: A Voice Agent's Emotional Expression in an Emergency

Voice agents play a crucial role in providing verbal guidance to users, especially during emergency situations to ensure their successful evacuation. While the vocal presentation of emotion significantly impacts communication effectiveness in human-agent interaction, the context-dependent impacts of emotional voice in an emergency setting remain unexplored. This study investigates the effects of voice agents’ emotional expressions conveyed through tone (i.e., Calm vs. Urgent) during a fire emergency simulation. Participants (N=30) conducted an online simulation game where a voice agent instruct them on how to evacuate from a building, while their evacuation time was tracked. After the game, participants evaluated the task experience and the voice agent’s trustworthiness and context-appropriateness. Results show that the voice agent using an urgent voice increased the participants’ cognitive trust in the agent and context-appropriateness to the emergency, compared to the agent using a calm voice. The study findings provide design implications for a voice agent’s emergency instructions, aiming for an effective evacuation process.
SleepyFlora: Supporting Sleep Sharing and Augmentation over a Distance for Social Bonding across Time Zones

Sleep plays a significant role in our health and well-being. We can see an increasing amount of work in HCI exploring the design for better sleep. However, most of these works only focus on sleep tracking and reminding. The social perspective of sleep is rarely explored. We believe that sleep is tightly associated with social connection and intimacy. This work explores how sleep sharing can facilitate social bonding over a distance. We present SleepyFlora, an interactive system that enables a user to know the other user’s real-time sleep stages via a flower-shaped installation and augment their sleep by sending soothing aromas and playing music remotely. With SleepyFlora, we hope to further the understanding of interaction design around sleep by considering its social perspective. Moreover, we hope our work can provide a novel approach, i.e, enabling sleep sharing, for facilitating social bonding over a distance.
Can Password Meter be More Effective Towards User Attention, Engagement, and Attachment?: A Study of Metaphor-based Designs

Password meter offers feedback on users’ password strength, with a goal of protecting against security breaches. In this study, we aimed at understanding the potential of leveraging metaphor in password meter design to grab user attention, keep them engaged with the interface, and make them feel connected with the design. To this end, we created four metaphor-based designs (treatment conditions) and compared them with a control condition representing a typical password meter. The findings from our between-subject study with 130 participants, conducted over Amazon Mechanical Turk, provide valuable insights into the opportunities of metaphor-based password meter design. Our study unpacks the role of aesthetic in password meter design, as well as how user engagement contributes to their focus on password strength. We suggest future studies to further explore, refine, and evaluate metaphor-based design choices towards helping users with security decisions.
The Opportunity Cost: Using a Narrative Approach to Reframe Pro-equity Urban Informatics

This paper is an exploration of storytelling in an urban data dashboard. We follow two frameworks to describe the narrative elements (characters, spatial dimension, sequentiality & temporality, and tellability) of the dashboard. This narrative analysis allows us to characterize the narrative work that urban dashboards do, enabling the interpretation that produces meaning from data. Given the duality of data and data visualization and their primacy in both directing and critiquing racialized state power, this poster argues that understanding narrative is vital to determining how, when, and why particular kinds of data visualizations might serve authentic community-defined political goals and when they do not. We aim to start a line of inquiry into how analytic attention to narrative in data visualization can support political change through agonistic data practices.
Set-conditional set generation for particle physics

Abstract The simulation of particle physics data is a fundamental but computationally intensive ingredient for physics analysis at the large Hadron collider, where observational set-valued data is generated conditional on a set of incoming particles. To accelerate this task, we present a novel generative model based on a graph neural network and slot-attention components, which exceeds the performance of pre-existing baselines.
Historicism in/as CSCW Method: Research, Sensibilities, and Design

This workshop furthers the growing adoption of historicism in HCI and CSCW. Inspired by mounting attention to history in the field, we aim to convene a broad range of scholars to advance the discussion around what a specifically historicist sensibility might look like for this research community, and how such a sensibility may be reflected in issues around research methods, evaluation, and training. In so doing, we will continue to trouble boundaries, disciplinary and otherwise, that demarcate what is considered to be history and whose histories are considered, as part of the broader turn to historicism that is underway. This one-day workshop will be in person and participant driven, with a stronger methodological focus than those that have come before. In addition to working groups focused on topics that emerge through workshop papers and initial discussions, we will develop practical next steps for creating a stronger enabling environment for historical approaches in HCI and CSCW research.
The Futures of Hybrid Work: A Socio-Technical Framework for Designing Hybrid Environments

Collaboration across distances is a core interest in CSCW. During the COVID-19 pandemic, most people were forced to work from home, and this long-term change in work conditions revealed both opportunities and challenges that continue to affect the post-pandemic future. While we do not know in which specific ways, we are certain that it will combine analog and digital work practices. Hybrid work consists of both collocated and distributed people whose collaboration is enabled by physical as well as digital artefacts. This PhD research aim to comprehend cooperative engagements across the spectrum of fully collocated and completely virtual, focusing the placement of hybrid work. We study how hybrid work can be conceptualized within the research field of CSCW. This conceptual grounding is vital for understanding the extent and implications of hybrid work in designing technologies to support future work practices