BBL Series Test
Join us each Thursday during the fall and spring semesters as we present interesting speakers on topics ranging from current areas of interest in HCI, software demos/reviews, study design, proposed research topics and more. The BBL is the one hour a week where we all come together and provide HCIL members the opportunity to build collaborations, increase awareness of each other’s activities, and generally just have a bit of fun together.
If you would like to give (or suggest) a future BBL talk, send email to HCIL Director Jessica Vitak (firstname.lastname@example.org) with your proposed talk title, a brief abstract, and your bio.
Talks are held in the HCIL (HBK2105), but if you can’t make it in person, register for Zoom here.
2024 Upcoming Events
Envisioning Identity: The Social Production of Computer Vision
Date: Apr 25th, 2024 12:30 PM
Speaker: Morgan Klaus Scheuerman, Postdoctoral Associate, Information Science, University of Colorado Boulder Abstract: Computer vision technologies have been increasingly scrutinized in recent years for their propensity to cause harm. Broadly, the harms of computer vision focus on demographic biases (favoring one group over another) and categorical injustices (through erasure, stereotyping, or problematic labels). Prior work has focused on both uncovering these harms and mitigating them, through, for example, better dataset collection practices and guidelines for more contextual data labeling. There is opportunity to further understand how human identity is embedded into computer vision not only across these artifacts, but also across the network of human workers who shape computer vision systems. Further, given computer vision is designed by humans, there is ample opportunity to understand how human positionality influences the outcomes of computer vision systems. In this talk, I present work on how identity is implemented in computer vision, from how identity is represented in models and datasets to how different worker positionalities influence the development process. Specifically, I showcase how representations of gender and race in computer vision are exclusionary, and represent problematic histories present in colonialist worldviews. I also highlight how traditional tech workers enact a positional power over data workers in the global south. Through these findings, I demonstrate how identity in computer vision moves from something more open, contextual, and exploratory to a completely closed, binary and prescriptive classification.
Bio: Morgan Klaus Scheuerman is a Postdoctoral Associate in Information Science at University of Colorado Boulder and a 2021 MSR Research Fellow. His research focuses on the intersection of technical infrastructure and marginalized identities. In particular, he examines how gender and race characteristics are embedded into algorithmic infrastructures and how those permeations influence the entire system. His work has received multiple best paper awards and honorable mentions at CHI and CSCW. He earned his MS degree in Human-Centered Computing from University of Maryland Baltimore County and his BA in Communication & Media Studies (Minor Gender & Sexuality Studies) from Goucher College.
BBL Speaker Series: TBD
Date: May 9th, 2024 12:30 PM
BBL Speaker Series: The Road Less Taken: Pathways to Ethical and Responsible Technologies
Date: Sep 7th, 2024 12:30 PM
Location: HBK 2105 and Zoom Watch Here!
Abstract: Technology is no longer just about technology – now it is about living. So, how do we have ethical technology that creates a better life and a better society? Technology must become truly “human-centered,” not just “human-aware” or “human-adjacent”. Diverse users and advocacy groups must become equal partners in initial co-design and in continual assessment and management of information systems with human, social, physical, and technical components. But we cannot get there without radically transforming how we think about, develop, and use technologies. In this chapter, we explore new models for digital humanism and discuss effective tools and techniques for designing, building, and maintaining sociotechnical systems that are built to be, and remain continuously ethical, responsible, and human-centered.
Bio: Dr. Susan Winter, Associate Dean for Research, College of Information Studies, the University of Maryland. Dr. Winter studies the co-evolution of technology and work practices, and the organization of work. She has recently focused on ethical issues surrounding civic technologies and smart cities, the social and organizational challenges of data reuse, and collaboration among information workers and scientists acting within highly institutionalized sociotechnical systems. Her work has been supported by the U.S. National Science Foundation and by the Institute of Museum and Library Services. She was previously a Science Advisor in the Directorate for Social Behavioral and Economic Sciences, a Program Director, and Acting Deputy Director of the Office of Cyberinfrastructure at the National Science Foundation supporting distributed, interdisciplinary scientific collaboration for complex data-driven and computational science. She received her PhD from the University of Arizona, her MA from the Claremont Graduate University, and her BA from the University of California, Berkeley.
!! There are hundreds of productivity apps and tools to help you get work done--far too many for any one person to go through and figure out what works best for them. In this week's BBL, we want you to share the tools, apps, and tips you use to help you in your research, classwork, and writing. How do you stay organized? What helps you be productive? What are things that didn't work for you? We'll talk about what people like and don't and run some quick demos during this BBL.
Fill out this form to share what you use.
Join us in the lab (HBK-2105) or on Zoom to hear about cool tools and to share the ones you use!
BBL Speaker Series: Storytelling Health Informatics: Supporting Collective Efforts Towards Health Equity
Date: Nov 9th, 2024 12:30 PM
Location: HBK 2105 and Zoom
Abstract: We live in a storied life. Stories from people at present and in the past are guiding our actions in the future. Although this narrative mode of knowing complements the pragmatic mode, the pragmatic mode of knowing is the only ubiquitously supported mode in personal health informatics systems. In this talk, I will present my research on personal health informatics that uses storytelling to support health behavior in marginalized communities. These studies examined how storytelling technologies can amplify social connections and knowledge within the family and neighbors. The use of stories socially is a departure from health technologies that are often individually focused. Technologies that portray health solely as an individual’s responsibility could widen health disparities because marginalized communities face numerous health barriers due to systemic inequities. Storytelling health informatics could lessen this burden by supporting health behaviors as collective community efforts.
Bio: Dr. Herman Saksono is an Assistant Professor at Northeastern University with a joint appointment at the Bouvé College of Health Sciences and the Khoury College of Computer Sciences. Previously, he was a postdoctoral research fellow at the Center for Research on Computation and Society at Harvard University. He completed his Ph.D. in Computer Science at Northeastern University and a Fulbright scholarship recipient.
Herman’s interdisciplinary research contributions are in Personal Health Informatics, Human-Computer Interaction, and Digital Health Equity. His research investigates how digital tools can catalyze social interactions that encourage positive health behaviors, thus facilitating collective efforts toward health equity. He conducts the entire human-centered design process by designing, building, and evaluating innovative health technologies in collaboration with local community partners. Herman published his work in ACM CHI and CSCW where he received honorable mentions for Best Paper awards.
BBL Speaker Series: Fostering Digital Inclusion: Co-Design with Racial Minority, Low-Income Older Adults for Smart Speaker Applications to Enhance Social Connections and Well-being
Date: Nov 30th, 2024 12:30 PM
Speaker: Dr. Jane Chung, Associate Professor, Virginia Commonwealth University School of Nursing
Location: HBK 2105 and Zoom Watch Here!
Abstract: Older adult residents of low-income housing are at a high risk of unmanaged health conditions, loneliness, and limited healthcare access. Smart speakers have the potential to improve social connections and well-being among older adult residents. We conducted an iterative, user-centered design study with primarily African American older adults who lived alone in low-income housing to develop low-fidelity prototypes of smart speaker applications for wellness and social connections. Focus groups were held to elicit feedback about challenges with maintaining wellness and attitudes towards smart speakers. Through design workshops, they identified several smart speaker functionalities perceived as necessary for improving wellness and social connectedness. Then, several low-fidelity prototypes and use scenarios were developed in the following categories: wellness check-ins, befriending the virtual agent, community involvement, and mood detection. We demonstrate how smart speakers can provide a tool for their wellness and increase access to applications that provide a virtual space for social engagement. This presentation will also highlight strategies for addressing digital health inequities among socially vulnerable older adults. The goal is to enhance technology proficiency, reduce fear, and ultimately foster the acceptance of essential technologies.
Bio: Dr. Jane Chung is an Associate Professor at Virginia Commonwealth University School of Nursing. She is a nurse scientist with special emphasis on aging and technology research. Her research program has two foci: 1) advancing the methods for functional health monitoring and risk detection among older adults using innovative sensor technologies and 2) improving social connectedness and well-being in socially vulnerable older adults based on advances in data science and digital technologies including novel machine learning algorithms. She currently leads two NIH-funded studies – R01 project to identify digital biomarkers of mobility that are predictive of cognitive decline in community-dwelling older adults, and R21 project where her team is developing a smart speaker-based system for automatic loneliness assessment in older adults. Recently, she has been selected as a fellow for the Betty Irene Moore Fellowship for Nurse Leaders and Innovators, and in this fellowship program, she is working on a smart speaker-based intervention designed to assist low-income older adults in managing chronic conditions and daily activities more effectively.