Communication and Shared Mental Models for Teams Performing Interdependent Tasks

Singh, Ronal; Sonenberg, Liz; Miller, Tim

doi:10.1007/978-3-319-46882-2_10

Cited by 9 publications

(17 citation statements)

References 11 publications

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“…While exchanging verbal information is important in collaborative situations, an intelligent agent that could handle nonverbal information properly would improve the quality of interactions between the agent and the human users [83]. The study of [48] investigated the influence of communicating shared goals and beliefs on the performance of a team of agents involved in an interdependent task. The results showed that generally, the communication with goals and beliefs positively influenced the performance of a team of agents.…”

Section: Discussionmentioning

confidence: 99%

“…However, this stream of work focused more on the impact of the IVA's multimodal communication (particularly nonverbal) on the human's performance without investigating the interrelationships of the communication with other factors that make communication influential in human-IVA teams. In a recent study, Singh et al [48] investigated the influence of sharing intentions (e.g., goals) and world knowledge (e.g., beliefs) on agent team performance. The study used BW4T to explore which component(s) contribute most to artificial team performance across different forms of interdependent tasks.…”

Section: Cognitive Aspects Of Teamwork and Smmsmentioning

confidence: 99%

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The Impact of Multimodal Communication on a Shared Mental Model, Trust, and Commitment in Human–Intelligent Virtual Agent Teams

Hanna

Richards

2018

MTI

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There is an increasing interest in the use of intelligent virtual agents (IVAs) to work in teams with humans. To achieve successful outcomes for these heterogeneous teams, many of the aspects found in successful human teams will need to be supported. These aspects include behavioural (i.e., multimodal communication), cognitive (i.e., a shared mental model (SMM)), and social (trust and commitment). Novelly, this paper aims to investigate the impact of IVA’s multimodal communication on the development of a SMM between humans and IVAs. Moreover, this paper aims to explore the impact of the developed SMM on a human’s trust in an IVA’s decisions and a human’s commitment to honour his/her promises to an IVA. The results from two studies involving a collaborative activity showed a significant positive correlation between team multimodal communication (i.e., behavioural aspect) and a SMM between teammates (i.e., cognitive aspect). Moreover, the result showed that there is a significant positive correlation between the developed SMM and a human’s trust in the IVA’s decision and the human’s commitment to honour his/her promises (the establishment of the social aspect of teamwork). Additionally, the results showed a cumulative effect of all of these aspects on human–agent team performance. These results can guide the design of human–agent teamwork multimodal communication models.

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Section: Discussionmentioning

confidence: 99%

Section: Cognitive Aspects Of Teamwork and Smmsmentioning

confidence: 99%

The Impact of Multimodal Communication on a Shared Mental Model, Trust, and Commitment in Human–Intelligent Virtual Agent Teams

Hanna

Richards

2018

MTI

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“…Instead, studies have proposed similarity measures to investigate the degree of similarity for good team performance or good enough performance to achieve specific tasks. 4,5,13,17,18 In this study, maintaining an SMM enables agents to share information efficiently and achieve a better team performance.…”

Section: Smmmentioning

confidence: 99%

“…Methods of evaluating team performance used in prior research have been tailored to specific scenarios and involved objective measures such as a total number of accomplished tasks and accuracy rates, or subjective measures such as task uncertainty and the workload assigned to each agent. 3,12,18,25,26 In this paper, team performance is measured based on the total number of actions it takes to complete the task (completion cost) and task completion time.…”

Section: Evaluation Of Team Performance and Communicationmentioning

confidence: 99%

“…Measuring communication behavior in prior studies was based on the total number of communications per minute or per task. 3,12,16,18 MacMillan et al 27 measured communication efficiency based on anticipation ratio, which is the ratio of total communications to communication requests. The higher the team shows the anticipation ratio, the more efficient communication, and implicit coordination.…”

Section: Evaluation Of Team Performance and Communicationmentioning

confidence: 99%

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Modeling communication of collaborative multiagent system under epistemic planning

2021

Self Cite

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In most multiagent applications, communication is essential among agents to coordinate their actions and achieve their goals. However, communication often has a related cost that affects overall system performance. In this paper, we draw inspiration from epistemic planning studies to develop a communication model for agents that allows them to cooperate and make communication decisions effectively within a planning task. The proposed model treats a communication process as an action that modifies the epistemic state of the team. We evaluate whether agents can cooperate effectively and achieve higher performance using communication protocol modeled in our epistemic planning framework in two simulated tasks.Based on an empirical study conducted using search and rescue tasks with different scenarios, our resultsshow that the proposed model improved team performance across all scenarios than baseline models.

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Towards Trusting Autonomous Systems

Winikoff

2018

Engineering Multi-Agent Systems

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Autonomous systems are rapidly transitioning from labs into our lives. A crucial question concerns trust: in what situations will we (appropriately) trust such systems? This paper proposes three necessary prerequisites for trust. The three prerequisites are defined, motivated, and related to each other. We then consider how to realise the prerequisites. This paper aims to articulate a research agenda, and although it provides suggestions for approaches to take and directions for future work, it contains more questions than answers.

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Communication and Shared Mental Models for Teams Performing Interdependent Tasks

Cited by 9 publications

References 11 publications

The Impact of Multimodal Communication on a Shared Mental Model, Trust, and Commitment in Human–Intelligent Virtual Agent Teams

The Impact of Multimodal Communication on a Shared Mental Model, Trust, and Commitment in Human–Intelligent Virtual Agent Teams

Modeling communication of collaborative multiagent system under epistemic planning

Towards Trusting Autonomous Systems

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