Trauma-Informed Computing: Towards Safer Technology Experiences for All

要旨

Trauma is the physical, emotional, or psychological harm caused by deeply distressing experiences. Research with communities that may experience high rates of trauma has shown that digital technologies can create or exacerbate traumatic experiences. Via three vignettes, we discuss how considering the possible effects of trauma and traumatic stress reactions provides an explanatory lens with new insights into people’s technology experiences. Then, we present a framework—trauma-informed computing—in which we adapt and show how to apply six key principles of trauma-informed approaches to computing: safety, trust, peer support, collaboration, enablement, and intersectionality. Through specific examples, we describe how to apply trauma-informed computing in four areas of computing research and practice: user experience research & design, security & privacy, artificial intelligence & machine learning, and organizational culture in tech companies. We conclude by discussing how adopting trauma-informed computing will lead to benefits for all users, not only those experiencing trauma.

著者
Janet X.. Chen
Cornell University, Ithaca, New York, United States
Allison McDonald
University of Michigan, Ann Arbor, Michigan, United States
Yixin Zou
University of Michigan, Ann Arbor, Michigan, United States
Emily Tseng
Cornell Tech, New York, New York, United States
Kevin A. Roundy
NortonLifeLock Research Group, Culver City, California, United States
Acar Tamersoy
NortonLifeLock, Culver City, California, United States
Florian Schaub
University of Michigan, Ann Arbor, Michigan, United States
Thomas Ristenpart
Cornell Tech, New York, New York, United States
Nicola Dell
Cornell Tech, New York, New York, United States
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3517475

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Justice & Equity I

297
5 件の発表
2022-05-04 18:00:00
2022-05-04 19:15:00