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

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

13 March 2023
Anna Kawakami
Shreyans Chowdhary
Shamsi T. Iqbal
Q. V. Liao
Alexandra Olteanu
J. Suh
Koustuv Saha
ArXivPDFHTML

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

6 / 6 papers shown
Title
AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression
AI Chatbots for Mental Health: Values and Harms from Lived Experiences of Depression
Dong Whi Yoo
Jiayue Melissa Shi
Violeta J. Rodriguez
Koustuv Saha
AI4MH
54
0
0
26 Apr 2025
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker
V. D. Swain
Qiuyue "Joy" Zhong
Jash Rajesh Parekh
Yechan Jeon
Roy Zimmerman
Mary Czerwinski
J. Suh
Varun Mishra
Koustuv Saha
Javier Hernández
AI4MH
41
0
0
18 Oct 2024
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?
Shreyans Chowdhary
Anna Kawakami
Mary L. Gray
J. Suh
Alexandra Olteanu
Koustuv Saha
36
30
0
13 Mar 2023
How Different Groups Prioritize Ethical Values for Responsible AI
How Different Groups Prioritize Ethical Values for Responsible AI
Maurice Jakesch
Zana Buçinca
Saleema Amershi
Alexandra Olteanu
56
95
0
16 May 2022
Bridging Social Distance During Social Distancing: Exploring Social Talk
  and Remote Collegiality in Video Conferencing
Bridging Social Distance During Social Distancing: Exploring Social Talk and Remote Collegiality in Video Conferencing
Anna Bleakley
D. Rough
Justin Edwards
Philip R. Doyle
Odile Dumbleton
L. Clark
S. Rintel
Vincent P. Wade
Benjamin R. Cowan
33
48
0
30 Sep 2021
Improving fairness in machine learning systems: What do industry
  practitioners need?
Improving fairness in machine learning systems: What do industry practitioners need?
Kenneth Holstein
Jennifer Wortman Vaughan
Hal Daumé
Miroslav Dudík
Hanna M. Wallach
FaML
HAI
192
742
0
13 Dec 2018
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