most citedCharting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI

80 citations · 133 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20231 cited

Using Audio Data to Facilitate Depression Risk Assessment in Primary Health Care

Adam Valen Levinson, Abhay Goyal, Roger Ho Chun Man +7

Telehealth is a valuable tool for primary health care (PHC), where depression is a common condition. PHC is the first point of contact for most people with depression, but about 25…

cs.HC202351 cited

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Shreya Chowdhary, Anna Kawakami, Mary L. Gray +3

Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A…

cs.HC2023

Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders

Anna Kawakami, Shreya Chowdhary, Shamsi T. Iqbal +4

With the heightened digitization of the workplace, alongside the rise of remote and hybrid work prompted by the pandemic, there is growing corporate interest in using passive sensi…

cs.CY20231 cited

Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect

Yunhao Yuan, Koustuv Saha, Barbara Keller +2

The Papageno effect concerns how media can play a positive role in preventing and mitigating suicidal ideation and behaviors. With the increasing ubiquity and widespread use of soc…

cs.HC202380 cited

Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI

Upol Ehsan, Koustuv Saha, Munmun De Choudhury +1

Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the sociotechnical gap--divide between the technical affordances and the social needs. However,…