The Future of Human Robot Teams in the Army: Factors Affecting a Model of Human-System Dialogue Towards Greater Team Collaboration

Evans, A. William; Marge, Matthew; Stump, Ethan; Warnell, Garrett; Conroy, Joseph; Summers-Stay, Douglas; Baran, David

doi:10.1007/978-3-319-41959-6_17

Cited by 5 publications

(4 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other studies in the literature do not refer to a specific capability of their system in the title but highlighted the application scenarios (e.g., autonomous driving [12], human robot teams in the army [80], interactive robot learning [52]) or mentioned behavioral dynamics [45] and humanmachine confidence [49].…”

Section: Methodsmentioning

confidence: 99%

Explainable Embodied Agents Through Social Cues

Wallkotter

Tulli

Castellano

et al. 2021

J. Hum.-Robot Interact.

View full text Add to dashboard Cite

The issue of how to make embodied agents explainable has experienced a surge of interest over the past 3 years, and there are many terms that refer to this concept, such as transparency and legibility. One reason for this high variance in terminology is the unique array of social cues that embodied agents can access in contrast to that accessed by non-embodied agents. Another reason is that different authors use these terms in different ways. Hence, we review the existing literature on explainability and organize it by (1) providing an overview of existing definitions, (2) showing how explainability is implemented and how it exploits different social cues, and (3) showing how the impact of explainability is measured. Additionally, we present a list of open questions and challenges that highlight areas that require further investigation by the community. This provides the interested reader with an overview of the current state of the art.

show abstract

Section: Methodsmentioning

confidence: 99%

Explainable Embodied Agents Through Social Cues

Wallkotter

Tulli

Castellano

et al. 2021

J. Hum.-Robot Interact.

View full text Add to dashboard Cite

show abstract

“…Classical transactional models of communications have also been discussed in the context of HRI, including the circular model of communication as proposed by Osgood and Schramm (which depicts agents as processing a message via a decoder, interpreter and encoder, and the messages between them being sent along a continuous loop, depicted by arrows between the entities) and Berlo's model of communication (with the main components source, message, channel, and receiver) [93]. Lackey et al [59] discuss the transactional model by Barnlund in the context of HRI.…”

Section: Transactional Models Of Communicationmentioning

confidence: 99%

“…In the Human-Robot Interaction (HRI) literature, models of interpersonal communication have been applied (see for instance [59,93]), and several models for human-robot interaction and communication have been developed (e.g. [44,52,91]).…”

Section: Introductionmentioning

confidence: 99%

“…Guzman and Lewis [41] argue that the similarities and differences between humans and robots need to be assessed. When it comes to modelling human-robot communication, other researchers have argued that a new model of humanrobot communication is required: a model including facets of communication that remain implicit in existing models (for example, knowledge of mission goals and cultural norms [93]). While the concept of asymmetry has previously been proposed by other researchers [42,56,76,77], the consequences of this concept have not been analysed in detail with regards to communication modelling and interaction design, which is what we set out to do here.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Communication Models in Human–Robot Interaction: An Asymmetric MODel of ALterity in Human–Robot Interaction (AMODAL-HRI)

Frijns

Schürer

Koeszegi

2021

Int J of Soc Robotics

View full text Add to dashboard Cite

We argue for an interdisciplinary approach that connects existing models and theories in Human–Robot Interaction (HRI) to traditions in communication theory. In this article, we review existing models of interpersonal communication and interaction models that have been applied and developed in the contexts of HRI and social robotics. We argue that often, symmetric models are proposed in which the human and robot agents are depicted as having similar ways of functioning (similar capabilities, components, processes). However, we argue that models of human–robot interaction or communication should be asymmetric instead. We propose an asymmetric interaction model called AMODAL-HRI (an Asymmetric MODel of ALterity in Human–Robot Interaction). This model is based on theory on joint action, common robot architectures and cognitive architectures, and Kincaid’s model of communication. On the basis of this model, we discuss key differences between humans and robots that influence human expectations regarding interacting with robots, and identify design implications.

show abstract

Human–robot Interaction

Chen

Barnes

2021

Handbook of Human Factors and Ergonomics

View full text Add to dashboard Cite

The Future of Human Robot Teams in the Army: Factors Affecting a Model of Human-System Dialogue Towards Greater Team Collaboration

Cited by 5 publications

References 29 publications

Explainable Embodied Agents Through Social Cues

Explainable Embodied Agents Through Social Cues

Communication Models in Human–Robot Interaction: An Asymmetric MODel of ALterity in Human–Robot Interaction (AMODAL-HRI)

Human–robot Interaction

Contact Info

Product

Resources

About