Designing Human-Agent Collaborations: Commitment, responsiveness, and support
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With the advancements in AI, agents (i.e., smart products, robots, software agents) are increasingly capable of working closely together with humans in a variety of ways while benefiting from each other. These human-agent collaborations have gained growing attention in the HCI community; however, the field lacks clear guidelines on how to design the agents’ behaviors in collaborations. In this paper, the qualities that are relevant for designers to create robust and pleasant human-agent collaborations were investigated. Bratman's Shared Cooperative Activity framework was used to identify the core characteristics of collaborations and survey the most important issues in the design of human-agent collaborations, namely code-of-conduct, task delegation, autonomy and control, intelligibility, common ground, offering help and requesting help. The aim of this work is to add structure to this growing and important facet of HCI research and operationalize the concept of human-agent collaboration with concrete design considerations.
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Using a tool designed for human decision-making to evaluate algorithmic decision-making may not encompass the unique challenges that algorithmic systems bring to existing processes.
“Despite our promising fndings, using a tool that was designed for human decision-making to evaluate algorithmic decision-making may not encompass the unique challenges that the inclusion of algorithmic systems bring to existing processes (as it is the case for other felds such as human-agent collaboration [23]).”
From Disentangling Fairness Perceptions in Algorithmic Decision-Making: the Effects of Explanations, Human Oversight, and Contestability (2023) · cites this paper as [23]
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Pagou, E. S., Kamla, V. C., Tchappi, I., & Najjar, A. (2023) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v37i13.27025 · Cited by 1 · see citing works
Patil, G. (2023) · IEEE International Conference on Agents (ICA) · doi:10.1109/ica58824.2023.00018 · Cited by 1 · see citing works
Human and Algorithm in Tandem: Insights from Automation in Sequential Decision-Making TasksPreprint
Moosavi, S. I., Spiliotopoulou, E., & Fransoo, J. C. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5129417 · Cited by 1 · see citing works
ContextVis: Envision Contextual Learning and Interaction with Generative Models
Shui, B., Shi, C., Yang, Y., & Nie, X. (2024) · Communications in computer and information science · doi:10.1007/978-3-031-61953-3_24
You, F., Liang, Y., Fu, Q., & Zhang, J. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23606-8.00004-x
Enhancing Adaptive Human-Agent Teaming Systems with Functional Near-Infrared Spectroscopy
Eloy, L., Doherty, E. J., Spencer, C. A., & Hirshfield, L. (2025) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2025.2524490 · Cited by 1 · see citing works
Delineating the Hybridity of Robotic Artifacts: Pathways to More Thoughtful Design in HRI
Rozendaal, M. C., & Levillain, F. (2026) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3799985
From Inquiry to Interaction: Evaluating Interaction Styles of AI-Based Conversational Agents
Hofbauer, S., Gimpel, H., Lämmermann, L., & Markgraf, M. (2026) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2026.2639667
"Here, Let Me Help": An Empirical Study of User Interventions in Human–Web Agent Collaboration
Kim, J., Cho, S., Nguyen, D. M., Jeon, J., Shin, M., & Ko, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791536
Human–AI Agent Collaboration for Industrial Problem Solving
Björndal, P., Zhang, Y., Jakobsson, L., Chandrika, K. R., Yang, M., & Ziobro, D. (2026) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3821402.3830186
- Authors
- Cila, N.
- Affiliations
- Human-Centered Design, Delft University of Technology, Netherlands
- Venue
- CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2022-04-29
- Pages
- 1-18
- OpenAlex
- W4225153904
- Cited by
- 65
- References
- 139
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 27 · 2023: 15 · 2022: 1
- FWCI
- 27.93
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion, cc-by)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Topics
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- human-agent collaboration, agent design, codes of conduct, task delegation, autonomy and control, intelligibility, common ground, human-robot interaction, software agents, design guidelines
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