학술논문

Human-AI Collaboration for the Detection of Deceptive Speech
Document Type
Conference
Source
2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 2023 11th International Conference on. :1-4 Sep, 2023
Subject
Computing and Processing
Signal Processing and Analysis
Affective computing
Data analysis
Conferences
Collaboration
Linguistics
Acoustic measurements
Acoustics
Human-AI collaboration
trust
deceptive speech
Language
Abstract
This paper investigates human trust in artificial intelligence (AI) during human-AI collaboration on a speech-based data analytics task. Human users worked together with an explainable AI algorithm that took as an input acoustic and linguistic measures for the detection of deceptive speech. The working performance of the AI was manipulated resulting in a high performing (HP) AI and a low performing (LP) AI. Trust was measured via self-reported and behavioral measures, which were associated with each other. Various personality characteristics, including openness, neuroticism, and extroversion, moderated one’s trust in the AI, but results were mixed in terms of the considered self-reported and behavioral trust metrics.