University of Michigan School of Information
UMSI researchers recognized with honorable mention awards at 2024 CHI conference
Wednesday, 05/08/2024
University of Michigan School of Information researchers have earned six Honorable Mention designations at the 2024 ACM CHI Conference on Human Factors in Computing Systems.
Honorable mentions are awarded to the top five percent of accepted papers at the annual conference.
This year’s conference will take place in Honolulu, Hawaii.
To see a full list of accepted papers and workshop presentations by UMSI researchers, check out our CHI research roundup.
Honorable Mention Awards
Authors’ Values and Attitudes Towards AI-bridged Scalable Personalization of Creative Language Arts
Taewook Kim, Hyomin Han, Eytan Adar, Matthew Kay, John Joon Young Chung
Generative AI has the potential to create a new form of interactive media: AI-bridged creative language arts (CLA), which bridge the author and audience by personalizing the author's vision to the audience's context and taste at scale. However, it is unclear what the authors' values and attitudes would be regarding AI-bridged CLA. To identify these values and attitudes, we conducted an interview study with 18 authors across eight genres (e.g., poetry, comics) by presenting speculative but realistic AI-bridged CLA scenarios. We identified three benefits derived from the dynamics between author, artifact, and audience: those that 1) authors get from the process, 2) audiences get from the artifact, and 3) authors get from the audience. We found how AI-bridged CLA would either promote or reduce these benefits, along with authors' concerns. We hope our investigation hints at how AI can provide intriguing experiences to CLA audiences while promoting authors' values.
The Cadaver in the Machine: The Social Practices of Measurement and Validation in Motion Capture Technology
Emma Harvey, Hauke Sandhaus, Abigail Jacobs, Emanuel Moss, Mona Sloane
Motion capture systems, used across various domains, make body representations concrete through technical processes. We argue that the measurement of bodies and the validation of measurements for motion capture systems can be understood as social practices. By analyzing the findings of a systematic literature review (N=278) through the lens of social practice theory, we show how these practices, and their varying attention to errors, become ingrained in motion capture design and innovation over time. Moreover, we show how contemporary motion capture systems perpetuate assumptions about human bodies and their movements. We suggest that social practices of measurement and validation are ubiquitous in the development of data- and sensor-driven systems more broadly, and provide this work as a basis for investigating hidden design assumptions and their potential negative consequences in human-computer interaction.
CareJournal: A Voice-Based Conversational Agent for Supporting Care Communications
John Rudnik, Sharadhi Raghuraj, Mingyi Li, Robin N. Brewer
Effective communication between older adult care recipients and unpaid caregivers is essential to both care partners' well-being. To understand communication in care relationships, we conducted a two-part study with older adult care recipients and caregivers. First, we conducted a two-week diary study to gain insight into care-related communication challenges. While caregivers discussed the benefits of emotional attachment, care recipients expressed concerns about emotional fluctuation and losing autonomy. These findings, along with literature on self-disclosure and conversational scaffolding informed our design of CareJournal—a voice-based conversational agent that supports care-related disclosure between care partners. We evaluated CareJournal with 40 care partners to inform future design considerations and learn more about their communication practices. Our findings highlight the impact of distance and tensions between care and independence, providing insight into how care partners imagine computer-mediated care communication impacting their relationships.
“I want it to talk like Darth Vader”: Helping Children Construct Creative Self-Efficacy with Generative AI
Michele Newman, Kaiwen Sun, Ilena B Dallas Gasperina, Grace Y. Shin, Matthew Kyle Pedraja, Ritesh Kanchi, Maia B. Song, Rannie Li, Jin Ha Lee, Jason Yip
The emergence of generative artificial intelligence (GenAI) has ignited discussions surrounding its potential to enhance creative pursuits. However, distinctions between children's and adult's creative needs exist, which is important when considering the possibility of GenAI for children's creative usage. Building upon work in Human-Computer Interaction (HCI), fostering children's computational thinking skills, this study explores interactions between children (aged 7-13) and GenAI tools through methods of participatory design. We seek to answer two questions: (1) How do children in co-design workshops perceive GenAI tools and their usage for creative works? and (2) How do children navigate the creative process while using GenAI tools? How might these interactions support their confidence in their ability to create? Our findings contribute a model that describes the potential contexts underpinning child-GenAI creative interactions and explores implications of this model for theories of creativity, design, and use of GenAI as a constructionist tool for creative self-efficacy.
“I was able to give her the confidence”: Reciprocal Capacity Building in a Community-based Program for Digital Engagement
Julie Hui, Kristin Seefeldt, Lutalo Sanifu, Christie Baer, Jeanette Szomstein, Tawanna R. Dillahunt
Assets-based approaches emphasize the importance of leveraging and building upon community strengths. We describe how a community-based digital capacity building program, Community Tech Workers (CTW), addresses the goals of assets-based development by hiring local residents and students to serve as tech support personnel for underserved minority small business owners in a Midwest city. Through interviews and observations, we examine how reciprocal relationships between tech workers and small business owners are critical to the success and sustainability of the program. We find that tech workers and business owners mutually benefit by 1) building confidence in technology together, 2) having business owners provide reciprocal guidance in professional development, and 3) fostering mutual appreciation and commitment to community development. We conclude by introducing the concept of reciprocal capacity building to HCI and discussing how it provides a potentially more equitable approach to community-based interventions.
Looking Together ≠ Seeing the Same Thing: Understanding Surgeons’ Visual Needs During Intra-operative Coordination and Instruction
Vitaliy Popov, Xinyue Chen, Jingying Wang, Michael Kemp, Gurjit Sandhu, Taylor Kantor, Natalie Meteju, Xu Wang
Shared gaze visualizations have been found to enhance collaboration and communication outcomes in diverse HCI subfields including collaborative work and learning. Given the importance of gaze in surgery operations, especially when a surgeon trainer and trainee need to coordinate their actions, research on the use of gaze to facilitate intra-operative coordination and instruction has been limited and shows mixed implications. We performed a field observation of 8 surgeries and an interview study with 14 surgeons to understand their visual needs during operations, informing ways to leverage and augment gaze to enhance intra-operative coordination and instruction. We found that trainees have varying needs in receiving visual guidance which are often unfulfilled by the trainers’ instructions. It is critical for surgeons to control the timing of the gaze-based visualizations and effectively interpret gaze data. We suggest overlay technologies, e.g., gaze-based summaries and depth sensing, to augment raw gaze in support of surgical coordination and instruction.
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Learn more information about CHI 2024 by visiting their website.
— Noor Hindi, UMSI public relations specialist
