Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction

You, Sangseok; Robert, Lionel

doi:10.24251/hicss.2019.031

Cited by 28 publications

(18 citation statements)

References 50 publications

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“…Other work has demonstrated mixed results for the efficacy of robots as collaborative teammates. For example, adding robot identification (assembling your own robot) and team identification (selecting a team name and wearing the same uniform) can increase trust in robots, though either manipulation alone seems insufficient (You & Robert, 2019). Backchanneling, or the communication of non-verbal signals that show that the listener is engaged with the speaker, has shown to improve team functioning and perceived engagement from a robot, but simultaneously reduced its perceived competence compared with robots that did not backchannel (Jung et al, 2013).…”

Section: Non-human Agents As Social Actorsmentioning

confidence: 99%

Team Structure and Team Building Improve Human–Machine Teaming With Autonomous Agents

Walliser¹,

Visser

Wiese

et al. 2019

Journal of Cognitive Engineering and Decision Making

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Research suggests that humans and autonomous agents can be more effective when working together as a combined unit rather than as individual entities. However, most research has focused on autonomous agent design characteristics while ignoring the importance of social interactions and team dynamics. Two experiments examined how the perception of teamwork among human–human and human–autonomous agents and the application of team building interventions could enhance teamwork outcomes. Participants collaborated with either a human or an autonomous agent. In the first experiment, it was revealed that manipulating team structure by considering your human and autonomous partner as a teammate rather than a tool can increase affect and behavior, but does not benefit performance. In the second experiment, participants completed goal setting and role clarification (team building) with their teammate prior to task performance. Team building interventions led to significant improvements for all teamwork outcomes, including performance. Across both studies, participants communicated more substantially with human partners than they did with autonomous partners. Taken together, these findings suggest that social interactions between humans and autonomous teammates should be an important design consideration and that particular attention should be given to team building interventions to improve affect, behavior, and performance.

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Section: Non-human Agents As Social Actorsmentioning

confidence: 99%

Team Structure and Team Building Improve Human–Machine Teaming With Autonomous Agents

Walliser¹,

Visser

Wiese

et al. 2019

Journal of Cognitive Engineering and Decision Making

View full text Add to dashboard Cite

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“…Therefore, a group-level analysis might assist in the investigation of teams and teaming between humans and robots. [48][49][50][51] The lack of investigation beyond the individual level of analysis provides an opportunity for researchers.…”

Section: Ro 2: Level Of Analysismentioning

confidence: 99%

Personality in Healthcare Human Robot Interaction (H-HRI)

Esterwood¹,

Robert²

2020

Proceedings of the 8th International Conference on Human-Agent Interaction

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Robots are becoming an important way to deliver health care, and personality is vital to understanding their effectiveness. Despite this, there is a lack of a systematic overarching understanding of personality in health care human robot interaction (H-HRI). To address this, the authors conducted a review that identified 18 studies on personality in H-HRI. This paper presents the results of that systematic literature review. Insights are derived from this review regarding the methodologies, outcomes, and samples utilized. The authors of this review discuss findings across this literature while identifying several gaps worthy of attention. Overall, this paper is an important starting point in understanding personality in H-HRI. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models.

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“…Consequentially, when human teammates collaborate on tasks they can achieve a level of coordination that exceeds a single worker. (12,13). Within this research we are interested in how robots could similarly perform more fluently with their human counterparts.…”

Section: Background Of Human-robot Collaborationmentioning

confidence: 99%

Human-Robot Collaboration: identifying the challenges of manufacturing system integration

2019

Artificial Intelligence, Robots and Ethics

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Due to incredible advancements in the processes of manufacturing, the world is facing a fourth industrial revolution focusing on the development of cyber-physical systems. Human-robot collaboration will be an integral part of these new systems. In the conventional manufacturing process humans and robots have been kept separate from each other to prevent serious harm coming to the human operators. However, considerable advancements in technology have introduced large-scale robotics that are able to successfully and safely interact with human workers, which we will soon see being deployed across the manufacturing industry, to work alongside teams of human operators to improve many aspects of the production process such as speed and uniformity. These developments will not only revolutionise the processes of manufacturing, but will also have a considerable impact on the humans that will be working alongside them. These changes could have physical, mental and emotional impacts on human operators who will likely experience considerable changes to the way they work. In this paper we will discuss the current challenges facing human-robot collaboration integration, worker needs, acceptance, trust, and other ethical issues concerning what changes may need to be made for the successful integration of collaborative robotics, and how this research will identify the human factors that need to be incorporated within future risk assessments/systems integration.

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Trusting Robots in Teams: Examining the Impacts of Trusting Robots on Team Performance and Satisfaction

Cited by 28 publications

References 50 publications

Team Structure and Team Building Improve Human–Machine Teaming With Autonomous Agents

Team Structure and Team Building Improve Human–Machine Teaming With Autonomous Agents

Personality in Healthcare Human Robot Interaction (H-HRI)

Human-Robot Collaboration: identifying the challenges of manufacturing system integration

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