Niharika (main contact -- nmathur35@gatech.edu) is a Human-Centered Computing doctoral student at Georgia Tech, Atlanta. Her work has investigated the design of conversational AI technologies for older adults for routines such as medication management, grounded in participatory engagement in co-design workshops with older adults with Mild Cognitive Impairment (MCI). Niharika has been a George Family Foundation Health Innovation Fellow and works with the US NSF funded AI Institute, AI CARING, focusing on user-centered approaches to designing AI systems to support older adults.

Elizabeth (Beth) is the Dean and Professor at Khoury College of Computer Sciences at Northeastern University, Boston. Her work has made leading contributions to the design of assistive technologies and ubiquitous computing, focusing on older adults dealing with the onset of cognitive impairments. She has also been a key researcher in the Aware Home Research Initiative that investigated future home technology designs that enable aging adults to live independently and is co-PI of the US NSF funded AI Institute, AI CARING, focused on use-inspired AI research in longitudinal and collaborative technologies to support older adults and their carepartners. Beth is an ACM Fellow and a member of the SIGCHI academy, and was elected as a member of the American Academy of Arts and Sciences in 2024.

Alisha is an Assistant Professor in the Department of Informatics at New Jersey Institute of Technology, Newark. Her research examines older adults' use of emerging technologies in everyday lives, and by adopting participatory approaches, includes older adults and their carepartners in designing their own personalized technologies to support aging-in-place, with interest in methodological considerations for meaningfully including older individuals in design activities. Alisha has co-organized workshops and panels at conferences such as ACM CHI and UbiComp. 

Masatomo is a Senior Research Scientist at IBM Research, Tokyo. His research work has primarily focused on accessible computing for older adults and people with disabilities, technology use of older adults, as well as daily behavior analysis for early identification of cognitive and motor conditions. He served as a co-lead of the Senior Cloud project, a decade-long collaborative initiative between industry and academia funded by Japan Science and Technology Agency, which aimed to promote technology-mediated social involvement of older populations.

Katie is an Associate Professor at Institute of Science, Tokyo. Katie has worked with a diversity of older adults in Canada and Japan, focusing on serious games for psychological well-being, intergenerational engagement with playful embodied prototypes, conversational agents and social robots for group conversation facilitation, and “older adult” peer voice assistants for longitudinal engagement in the home and reduction of implicit ageism.

Tamara (Toma) is a Postdoctoral Research Fellow at Northeastern University, Boston. Her research focuses on studying longitudinal usage of conversational voice assistants by older adults. Her work has contributed to the understanding of limitations in current conversational systems for older adults, and exploring how privacy-conscious approaches can improve the design of future embodied systems. Tamara has been a National Science Foundation Graduate Research Fellow and has also led industry-focused discussions and panels on designing AI systems for aging populations. 

Jenny is an Associate Professor in the School of Computing and Information Systems, The University of Melbourne, Australia. Jenny’s recent research has examined how emerging technologies, such as VR and social robots, are used to provide social and emotional enrichment in later life, especially for people living in aged care. In this work, she has examined ethical issues associated with designing and evaluating new technologies for use in sensitive settings such as elder care, where a respectful and empathetic approach is critical to ensure new technologies provide benefit without causing harm. 

Agata is a Principal Research Scientist at Georgia Tech, Atlanta with an extensive background in measurement and analysis of health-related behaviors, situated at the intersection of computing and psychology. Her current research focuses on the development of AI-based systems to monitor cognitive and functional changes in older adults and to support their care networks. She also serves as the Director of Translational Research for the US NSF funded AI Institute for Collaborative Assistance and Responsive Interaction for Networked Groups (AI-CARING).

John is a doctoral student at the University of Michigan, Ann Arbor School of Information, where he is advised by Dr. Robin Brewer. His research explores the intersection of technology and society, focusing on the design and implementation of automated decision-making technologies and data infrastructures to support care and old age. John’s work emphasizes the moral and ethical considerations of user-centered design, particularly in the context of the longevity economy. He has held positions at the AARP Foundation and MIT AgeLab, focusing on pragmatic elements of technology adoption to support care practices and relationships.

John is Chair of Design Informatics at the University of Edinburgh. His interests are broadly at the intersection of research through design, participatory design, and data-driven technologies. He has specific expertise on the design of systems to support care and health in later life, and bringing together the sociology and critical study of ageing and health with the field of human-computer interaction. John has co-organized two workshops at ACM CHI on aging and caregiving.

Erin is a Senior User Experience Researcher at Google, Mountain View leading the cognitive accessibility team to design assistive technologies. She currently leads the research and design capabilities, focused on developing technologies to support equitable access to digital experiences, taking an abilities-based approach, and striving to center the voices of users with cognitive disabilities in the creation of accessible tools and features.