Keynote Speakers
10/15 Sat. 10:00-11:00 4F國際會議廳
The Bias Cut: Learning from Experiments with Algorithmic Systems
Associate Professor, Department of Human Centered Design & Engineering
University of Washington
Abstract
This talk explores what HCI might learn from material encounters with discourses of bias. At a time when the developers of algorithmic systems are interrogating concepts of bias like never before, textile bias (or the skew of woven material) offers an alternative view into the scripts of computational development. To probe this potential, this talk engages a range of feminist and anti-racist interventions in performance arts, critical archival studies, and my pedagogical collaborations. With these experiments, I ask, how might material bias inform ongoing analysis of cultural bias within machine learning systems? The experiments reveal interwoven dynamics of power, labor, and historicity with particular attention to complicity and change. Through angular encounters with bias, I explore the development of emerging techno poetics of algorithmic systems.
Bio
Daniela Rosner is an Associate Professor in Human Centered Design & Engineering (HCDE) at the University of Washington and co-director of the Tactile and Tactical Design (TAT) Lab. She has published on the social, political, and material circumstances of technology development and use, with a longstanding interest in sites of innovation such as electronics maintenance and needlecraft historically overlooked within Western engineering cultures. Rosner serves as an Editor-in-Chief of Interactions magazine, a bimonthly publication of ACM SIGCHI.
10/16 Sun. 09:30-10:40 4F國際會議廳
Mindful Inclusion: Designing Technologies for Diversity and Inclusion
NTT Communication Science Laboratories
Visiting professor at Kyoto University
Abstract
To support marginalized and vulnerable populations, HCI researchers have focused on understanding their difficulties and designing technologies that fulfill their needs. While this seems like a promising approach, it has the problem of making marginalized people overly focused on resolving their own problems. At the same time, the use of such technologies can make their problems less visible to those around them, making them unaware of what problems they are struggling with and creating a gap in understanding. To address this, I propose a novel approach, “mindful inclusion,” which aims to deepen the relationship between marginalized people and the people around them so that it induces support from the surrounding people. In this talk, I discuss the potential/challenge of this approach by introducing a few case studies.
Bio
Naomi Yamashita is a distinguished researcher at NTT Research Labs and a visiting professor at Kyoto University, working in the field of Human-Computer Interaction and Computer-Supported Cooperative Work. Using a combination of quantitative and qualitative research methods, she aims to uncover the nature of human interaction and design novel communication technologies for better well-being, diversity, and inclusion. Some tools developed in the projects are used daily by a growing number of users (e.g., machine translation tools to support globally distributed teams; an app that helps family caregivers better cope with their depressed family members).
She is also an active member of the research community: she is Vice President at Large on the ACM SIGCHI Executive Committee and chairs the ACM Asia SIGCHI Committee. She also serves as an Associate Editor for ACM Transactions on Computer-Human Interaction (TOCHI), a Papers co-chair for CSCW2022, and on the Editorial Advisory Board for the Journal of Computer-Supported Cooperative Work (JCSCW).
10/16 Sun. 16:20-17:30 4F國際會議廳
Design and Imagination for a Human-Robot Interface
Professor and Chairman, Graduate Degree Program of Robotics
National Yang Ming Chiao Tung University