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A Framework for Addressing the Risks and Opportunities In Al-Supported Virtual Health Coaches

Published: 02 February 2021 Publication History

Abstract

Virtual coaching has rapidly evolved into a foundational component of modern clinical practice. At a time when healthcare professionals are in short supply and the demand for low-cost treatments is ever-increasing, virtual health coaches (VHCs) offer intervention-on-demand for those limited by finances or geographic access to care. More recently, AI-powered virtual coaches have become a viable complement to human coaches. However, the push for AI-powered coaching systems raises several important issues for researchers, designers, clinicians, and patients. In this paper, we present a novel framework to guide the design and development of virtual coaching systems. This framework augments a traditional data science pipeline with four key guiding goals: reliability, fairness, engagement, and ethics.

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      PervasiveHealth '20: Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare
      May 2020
      446 pages
      ISBN:9781450375320
      DOI:10.1145/3421937
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

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      Published: 02 February 2021

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      Author Tags

      1. Artificial Intelligence
      2. Engagement
      3. Ethics
      4. Fairness
      5. Health Care
      6. Mobile Health
      7. Reliability
      8. Virtual Coach

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      PervasiveHealth '20 Paper Acceptance Rate 55 of 116 submissions, 47%;
      Overall Acceptance Rate 55 of 116 submissions, 47%

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