Originaltitel	Supplementary Material for the Paper "Opening the black box - Effects of decision transparency on therapists' trust in and intended use of AI-based decision support systems in ICBTs"
Handle	20.500.14123/1742
Datenart / Typ	Tests (z.B. Kompetenz- / Leistungsmessungen, physische oder psychologische Tests) Kontext- / Begleitmaterialien
Ressourcentyp	Datensatz
Autor* in / Erzeuger* in	Zantvoort, Kirsten  0000-0001-9876-054X (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg  02w2y2t16) Bjurner, Pontus  0000-0002-4967-9128 (Karolinska Institutet  056d84691) Forsell, Erik  0000-0001-8236-4323 (Karolinska Institutet  056d84691) Wallert, John  0000-0002-1473-4916 (Karolinska Institutet  056d84691) Funk, Burkhardt  0000-0001-5855-2666 (Institut für Wirtschaftsinformatik (IIS), Leuphana Universität Lüneburg  02w2y2t16) Kaldo, Viktor  0000-0002-6443-5279 (Karolinska Institutet  056d84691)
Beschreibung des Datensatzes	This study investigated the impact of local SHAP (SHapley Additive exPlanation) values on therapists’ perceptions of a Machine Learning-based Decision Support Tools (DST) in Internet-based Cognitive Behavioural Therapy (ICBT). The randomised experiment included 35 Swedish ICBT therapists who were each presented with a DST with six exemplary patient cases with SHAP values and six without them. The study measured therapists' understanding, trust, and perception of clinical usefulness through self-ratings at multiple stages. The primary hypothesis that adding SHAP values increased self-reported trust was confirmed by the findings (p=0.01, d=0.43 [0.07-0.76]). Further, the results suggested increased understanding, agreeance with, and the perceived usefulness of the DST predictions through SHAP values.
Angewandte Methoden	Experiment (Webbasiert) Beschreibungen Programmierung / Scriptbasierte Datenerhebung
Schlagwörter	Maschinelles Lernen; Data Science; Therapeutik; Kognitives Verhalten; Verhaltenstherapie; Entscheidungsfindung; Internetbasiert; Digitale Gesundheit; Mentale Gesundheit; Intervention; Machine Learning; Data Science; Therapeutics; Cognitive Behavior; Behavioral Therapy; Decision Making; Internet-based; Digital Health; Mental Health; Intervention
Thematische Einordnung	Digital Health
Veröffentlicht durch	Medien- und Informationszentrum, Leuphana Universität Lüneburg
Übergeordneter Datenbestand	× Übergeordneter Datenbestand Schließen Supplementary Material PhD Kirsten Zantvoort
Zugehörige Ressourcen	× Beziehungen des Datensatzes Schließen Beziehungen des Datensatzes