Invoking Principles of Groupware to Develop and Evaluate Present and Future Human-Agent Teams

Flathmann, Christopher; Schelble, Beau G.; Tubre, Brock; McNeese, Nathan J.; Rodeghero, Paige

doi:10.1145/3406499.3415072

Cited by 6 publications

(2 citation statements)

References 43 publications

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“…For instance, one such display was engineered for teams comprising a single human and a single agent, enabling the agent to transparently communicate its decision-making process. Flathmann, et al [80], on the other hand, introduced a comprehensive framework that accommodates both natural language and data-centric communication. This multi-layered framework consists of IA interaction, human integration, and a layer of supporting technologies, thereby ensuring seamless collaboration between human and agent team members.…”

Section: Information Sharingmentioning

confidence: 99%

Human–Agent Team Dynamics: A Review and Future Research Opportunities

Iftikhar,

Chiu,

Khan

et al. 2024

IEEE Trans. Eng. Manage.

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Humans teaming with intelligent autonomous agents are becoming indispensable in work environments.However, human-agent teams pose significant challenges as team dynamics are complex arising from the task and social aspects of human-agent interactions. To improve our understanding of human-agent team dynamics, we conducted a systematic literature review. Drawing on Mathieu et al.'s (2019) teamwork model developed for all-human teams, we map the landscape of research to human-agent team dynamics, including structural features, compositional features, mediating mechanisms, and the interplay of the above features and mechanisms. We reveal that the development of human-agent team dynamics is still nascent, with a particular focus on information sharing, trust development, agents' human likeness behaviors, shared cognitions, situation awareness, and function allocation. Gaps remain in many areas of team dynamics, such as team processes, adaptability, shared leadership, and team diversity. We offer various interdisciplinary pathways to advance research on human-agent teams.

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Section: Information Sharingmentioning

confidence: 99%

Human–Agent Team Dynamics: A Review and Future Research Opportunities

Iftikhar,

Chiu,

Khan

et al. 2024

IEEE Trans. Eng. Manage.

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show abstract

“…The way agents and humans share information and distribute tasks impacts the outcomes of tasks carried out by the HAT. Agents' communication and coordination strategies complicate interactions in HATs, and as agents become more valid team members, the interactions become more important (Flathmann et al, 2020). There can be multiple levels present within a single HAT or within a single human-agent interaction.…”

Section: Types Of Interactionsmentioning

confidence: 99%

Human-Agent Team Game Analysis Framework: Case Studies

Sepich

Dorneich

Gilbert

2021

Proceedings of the Human Factors and Ergonomics Society Annual

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This research details the development of a human-agent team (HAT) analysis framework specifically aimed at video games. The framework identifies different dimensions of interest related to humans and software agents working together. Video games have a variety of user-tested interaction paradigms that may offer useful insights into HAT dynamics, but it can be difficult for researchers to know which games are relevant to their research without a systematic method of characterizing HAT relationships. The framework was developed based on previous literature and gameplay analysis. This paper offers three case studies, applying the framework to the games Madden 21, Call to Arms, and Civilization V. Possible trends related to agent intelligence, team structures, and interdependence are discussed.

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An Analysis of the Challenges to Human Resource in Implementing Artificial Intelligence

Vishwakarma¹,

Singh²

2023

The Adoption and Effect of Artificial Intelligence on Human Resources Management, Part B

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Invoking Principles of Groupware to Develop and Evaluate Present and Future Human-Agent Teams

Cited by 6 publications

References 43 publications

Human–Agent Team Dynamics: A Review and Future Research Opportunities

Human–Agent Team Dynamics: A Review and Future Research Opportunities

Human-Agent Team Game Analysis Framework: Case Studies

An Analysis of the Challenges to Human Resource in Implementing Artificial Intelligence

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