Exploration of the Impact of Interpersonal Communication and Coordination Dynamics on Team Effectiveness in Human-Machine Teams

Demir, Mustafa; Cohen, Myke C.; Johnson, Craig J.; Chiou, Erin K.; Cooke, Nancy J.

doi:10.1080/10447318.2022.2143004

Cited by 7 publications

(6 citation statements)

References 78 publications

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Section: Discussionmentioning

confidence: 85%

“…Overly stable team coordination dynamics have been associated with rigidity in other dynamic team environments, such as Remotely Piloted Aircraft Systems (Demir et al, 2018), which may have been detrimental to the performance given the dynamic nature of the USAR simulation. In the current task, we believe this indicates that the dynamic nature of the USAR task environment requires the ASIs to adaptively switch between different communication and coordination patterns that are distinct yet moderately stable discovered by Demir et al, 2019Demir et al, , 2022 This study has several limitations, including the generalizability of the findings from a sample of university students operating in a game-based USAR environment to trained experts operating in real-world settings. Although the task environment for this study was designed to emulate key elements of real world USAR, it is not a high-resolution substitute.…”

Section: Discussionmentioning

confidence: 86%

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Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task

Willett,

Demir

2023

Proceedings of the Human Factors and Ergonomics Society Annual

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This research concentrates on the impact of Artificial Social Intelligence (ASI)'s advice intervention text messages and the compliance of three human team members, who communicate via voice to carry out victim rescue operations, on the team's performance. This experiment takes place in a simulated Urban Search and Rescue (USAR) task environment built using Minecraft. The ASI agent, utilizing its analytical components designed around interactive real-time measurements, oversees the team's behavior in the USAR task environment. The agent discerns and forecasts the human team members' actions, offering interventions via text messages to foster and sustain team efficacy. The study examines (1) the influence of the team's cognitive load on message compliance from the advisor, and (2) how these elements collectively affect team performance. The results show a positive association between cognitive load, compliance, and enhanced task performance, despite the lack of a significant correlation between cognitive load and compliance.

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Section: Discussionmentioning

confidence: 85%

Section: Discussionmentioning

confidence: 86%

Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task

Willett,

Demir

2023

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

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“…Various Wizard-of-Oz experiments (e.g., Demir et al, 2023;Schelble et al, 2022) in which humans believed to work with an AI, demonstrated that solely the perception of dealing with a non-human team member can influence interactions. In the study by , only the manipulated description of the type of team member (e.g., AI versus human) led to less coordination (i.e., less active planning) and, consequently, worse performance.…”

Section: The Distinct Nature Of Coordination In Hatsmentioning

confidence: 99%

Supporting Adaptive Coordination in Human-Autonomy-Teams: A Conceptual Framework

Nols,

Ulfert,

Gevers

2024

Preprint

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“…The model dynamically combines the task grouping ideas extended by humans and the AI model via negotiation, fostering a better cohesive mental model among teammates. Concurrently, in [44], the authors explored the importance of achieving a common, meaningful, and timely understanding of the context in which humans and machines act and interact. The study investigated how AI-related approaches of belief and reasoning based on ontologies can enable knowledge sharing among all team members, both human and machine, thereby attaining a high level of interoperability between heterogeneous entities.…”

Section: Related Workmentioning

confidence: 99%

Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities

Mehak,

Kelleher,

Guilfoyle

et al. 2024

Machines

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Human–robot teaming (HrT) is being adopted in an increasing range of industries and work environments. Effective HrT relies on the success of complex and dynamic human–robot interaction. Although it may be optimal for robots to possess all the social and emotional skills to function as productive team members, certain cognitive capabilities can enable them to develop attitude-based competencies for optimizing teams. Despite the extensive research into the human–human team structure, the domain of HrT research remains relatively limited. In this sense, incorporating established human–human teaming (HhT) elements may prove practical. One key element is mutual performance monitoring (MPM), which involves the reciprocal observation and active anticipation of team members’ actions within the team setting, fostering enhanced team coordination and communication. By adopting this concept, this study uses ML-based visual action recognition as a potential tool for developing an effective way to monitor the human component in HrT. This study utilizes a data modeling approach on an existing dataset, the “Industrial Human Action Recognition Dataset” (InHARD), curated specifically for human action recognition assembly tasks in industrial environments involving human–robot collaborations. This paper presents the results of this modeling approach in analyzing the dataset to implement a theoretical concept that can be a first step toward enabling the system to adapt dynamically. The outcomes emphasize the significance of implementing state-of-the-art team concepts by integrating modern technologies and assessing the possibility of advancing HrT in this direction.

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Exploration of the Impact of Interpersonal Communication and Coordination Dynamics on Team Effectiveness in Human-Machine Teams

Cited by 7 publications

References 78 publications

Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task

Understanding the Impact of Team Cognitive Load and Advice Compliance in Urban Search and Rescue Task

Supporting Adaptive Coordination in Human-Autonomy-Teams: A Conceptual Framework

Action Recognition for Human–Robot Teaming: Exploring Mutual Performance Monitoring Possibilities

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