TY - GEN
T1 - Human-AI Collaboration
T2 - 28th International Conference on Intelligent User Interfaces, IUI 2023
AU - Hemmer, Patrick
AU - Westphal, Monika
AU - Schemmer, Max
AU - Vetter, Sebastian
AU - Vössing, Michael
AU - Satzger, Gerhard
N1 - Publisher Copyright:
© 2023 ACM.
PY - 2023/3/27
Y1 - 2023/3/27
N2 - Recent work has proposed artificial intelligence (AI) models that can learn to decide whether to make a prediction for an instance of a task or to delegate it to a human by considering both parties' capabilities. In simulations with synthetically generated or context-independent human predictions, delegation can help improve the performance of human-AI teams - compared to humans or the AI model completing the task alone. However, so far, it remains unclear how humans perform and how they perceive the task when they are aware that an AI model delegated task instances to them. In an experimental study with 196 participants, we show that task performance and task satisfaction improve through AI delegation, regardless of whether humans are aware of the delegation. Additionally, we identify humans' increased levels of self-efficacy as the underlying mechanism for these improvements in performance and satisfaction. Our findings provide initial evidence that allowing AI models to take over more management responsibilities can be an effective form of human-AI collaboration in workplaces.
AB - Recent work has proposed artificial intelligence (AI) models that can learn to decide whether to make a prediction for an instance of a task or to delegate it to a human by considering both parties' capabilities. In simulations with synthetically generated or context-independent human predictions, delegation can help improve the performance of human-AI teams - compared to humans or the AI model completing the task alone. However, so far, it remains unclear how humans perform and how they perceive the task when they are aware that an AI model delegated task instances to them. In an experimental study with 196 participants, we show that task performance and task satisfaction improve through AI delegation, regardless of whether humans are aware of the delegation. Additionally, we identify humans' increased levels of self-efficacy as the underlying mechanism for these improvements in performance and satisfaction. Our findings provide initial evidence that allowing AI models to take over more management responsibilities can be an effective form of human-AI collaboration in workplaces.
KW - AI Delegation
KW - Human-AI Collaboration
KW - Self-efficacy
KW - Task Performance
KW - Task Satisfaction
UR - http://www.scopus.com/inward/record.url?scp=85152129099&partnerID=8YFLogxK
U2 - 10.1145/3581641.3584052
DO - 10.1145/3581641.3584052
M3 - Conference contribution
AN - SCOPUS:85152129099
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 453
EP - 463
BT - IUI 2023 - Proceedings of the 28th International Conference on Intelligent User Interfaces
PB - Association for Computing Machinery
Y2 - 27 March 2023 through 31 March 2023
ER -