Defining next-generation multi-modal communication in human robot interaction

Lackey, Stephanie; Barber, Daniel; Reinerman, Lauren E.; Badler, Norman I.; Hudson, Irwin

doi:10.1037/e578902012-095

Cited by 12 publications

(7 citation statements)

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“…While machines currently possess the ability to detect certain implicit cues; e.g., via the recognition of facial expressions ( Picard et al, 2001 ), they are limited in their ability to detect contextual cues. For example, because coordination involves a complex and varying presentation of implicit communication cues ( Lackey et al, 2011 ), it is difficult and expensive to support machine cue perception on a human level. Detection, interpretation, and reasoning about these cues from a human perspective ( Baker et al, 2011 ) is imperative to ensure effective coordination.…”

Section: Gaps In Machine Competencies For Hmtmentioning

confidence: 99%

Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

et al. 2021

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In response to calls for research to improve human-machine teaming (HMT), we present a “perspective” paper that explores techniques from computer science that can enhance machine agents for human-machine teams. As part of this paper, we (1) summarize the state of the science on critical team competencies identified for effective HMT, (2) discuss technological gaps preventing machines from fully realizing these competencies, and (3) identify ways that emerging artificial intelligence (AI) capabilities may address these gaps and enhance performance in HMT. We extend beyond extant literature by incorporating recent technologies and techniques and describing their potential for contributing to the advancement of HMT.

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Section: Gaps In Machine Competencies For Hmtmentioning

confidence: 99%

Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

et al. 2021

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“…Many advancements have been made to overcome performance issues with regard to robot teleoperation to improve processes such as robot responsiveness and camera video bandwidth (Chen et al, 2007). In addition, further advances in technology and artificial intelligence bring more autonomous capabilities, including enhanced perception and object recognition to situation assessment and decisionmaking (Barnes et al, 2014;Schuster et al, 2013), multi-robot multioperator scenarios (Chen and Barnes, in press;Fincannon et al, 2011), individual differences (Chen, 2011), human-robot trust issues (Hancock et al, 2011), supervisory control (Chen and Barnes, 2012;Chen et al, 2011), and multimodal/bidirectional communications (Lackey et al, 2011), to better support more autonomous robots. As robots become more autonomous, their participation in combat situations expands.…”

Section: Introductionmentioning

confidence: 99%

Speech-Based Robotic Control for Dismounted Soldiers: Evaluation of Visual Display Options

Pettitt¹,

Carstens²,

Elliott³

2014

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“…A number of efforts in Human-Robot Interaction (HRI) are focused on transforming the common perception of robots as tools to robots viewed as teammates, collaborators, or partners (e.g., Fiore, Elias, Gallagher, & Jentsch, 2008;Hoffman & Breazeal, 2004;Lackey, Barber, Reinerman-Jones, Badler, & Hudson, 2011;Phillips, Ososky, & Jentsch, 2011). Though the development of social-cognitive mechanisms has received significantly less emphasis in HRI, it is essential for effective human-robot teaming, as such mechanisms allows robots to function naturally and intuitively during their interactions with humans (Breazeal, 2004).…”

Section: Introductionmentioning

confidence: 99%

Towards Modeling Social-Cognitive Mechanisms in Robots to Facilitate Human-Robot Teaming

Wiltshire

Barber

Fiore

2013

Proceedings of the Human Factors and Ergonomics Society Annual

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For effective human-robot teaming, robots must gain the appropriate social-cognitive mechanisms that allow them to function naturally and intuitively in social interactions with humans. However, there is a lack of consensus on social cognition broadly, and how to design such mechanisms for embodied robotic systems. To this end, recommendations are advanced that are drawn from HRI, psychology, robotics, neuroscience and philosophy as well as theories of embodied cognition, dual process theory, ecological psychology, and dynamical systems. These interdisciplinary and multi-theoretic recommendations are meant to serve as integrative and foundational guidelines for the design of robots with effective social-cognitive mechanisms.

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Defining next-generation multi-modal communication in human robot interaction

Cited by 12 publications

References 0 publications

Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

Improving Teamwork Competencies in Human-Machine Teams: Perspectives From Team Science

Speech-Based Robotic Control for Dismounted Soldiers: Evaluation of Visual Display Options

Towards Modeling Social-Cognitive Mechanisms in Robots to Facilitate Human-Robot Teaming

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