Designing for Human-AI Interaction: Comparing Intermittent, Continuous, and Proactive Interactions for a Music Application
by Gammelgård-Larsen, Anders, van Berkel, Niels, Skov, Mikael B. and Kjeldskov, Jesper
Abstract:
Designing effective and user-centred interactions between humans and AI systems poses fundamental challenges. The behaviour of AI systems is complex and uncertain, making it difficult to envision and craft optimal user experiences. Improved frameworks are needed to guide the design of human-AI interaction. In this paper, we develop and evaluate prototypes for a music application, representing three distinct paradigms of human-AI interaction: Intermittent, Continuous, and Proactive. Through qualitative user interviews with 12 participants, we compare the user experience across these prototypes, shedding light on potential challenges and opportunities for the paradigms represented. We found that the three prototypes exhibit distinct characteristics in terms of supported goals and user control. This case study contributes to a deeper understanding of the complexities involved in designing AI systems and offers insights for the development of more user-centred AI applications.
Reference:
A. Gammelgård-Larsen, N. van Berkel, M. B. Skov, J. Kjeldskov, "Designing for Human-AI Interaction: Comparing Intermittent, Continuous, and Proactive Interactions for a Music Application", in Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI'24 LBW), 2024.
Bibtex Entry:
@inproceedings{GammelgardLarsen2024HumanAIMusic,
	title        = {Designing for Human-AI Interaction: Comparing Intermittent, Continuous, and Proactive Interactions for a Music Application},
	author       = {Gammelgård-Larsen, Anders and van Berkel, Niels and Skov, Mikael B. and Kjeldskov, Jesper},
	year         = 2024,
	booktitle    = {Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems},
	location     = {CHI'24 LBW},
	articleno    = {105},
	numpages     = {8},
	doi          = {10.1145/3613905.3650886},
	howpublished = {Late Breaking Work},
	abstract     = {Designing effective and user-centred interactions between humans and AI systems poses fundamental challenges. The behaviour of AI systems is complex and uncertain, making it difficult to envision and craft optimal user experiences. Improved frameworks are needed to guide the design of human-AI interaction. In this paper, we develop and evaluate prototypes for a music application, representing three distinct paradigms of human-AI interaction: Intermittent, Continuous, and Proactive. Through qualitative user interviews with 12 participants, we compare the user experience across these prototypes, shedding light on potential challenges and opportunities for the paradigms represented. We found that the three prototypes exhibit distinct characteristics in terms of supported goals and user control. This case study contributes to a deeper understanding of the complexities involved in designing AI systems and offers insights for the development of more user-centred AI applications.}
}