"It's hard to argue with a computer"
2018Vol. 2018, pp. 559–571
Citations Over TimeTop 10% of 2018 papers
Tad Hirsch, Christina S. Soma, Kritzia Merced, Patty Kuo, Aaron Dembe, Derek D. Caperton, David C. Atkins, Zac E. Imel
Abstract
We present CORE-MI, an automated evaluation and assessment system that provides feedback to mental health counselors on the quality of their care. CORE-MI is the first system of its kind for psychotherapy, and an early example of applied machine-learning in a human service context. In this paper, we describe the CORE-MI system and report on a qualitative evaluation with 21 counselors and trainees. We discuss the applicability of CORE-MI to clinical practice and explore user perceptions of surveillance, workplace misuse, and notions of objectivity, and system reliability that may apply to automated evaluation systems generally.
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