From One to Another: How Robot-Robot Interaction Affects Users' Perceptions Following a Transition Between Robots

Tan, Xiang Zhi; Reig, Samantha; Carter, Elizabeth; Steinfeld, Aaron

doi:10.1109/hri.2019.8673304

Cited by 39 publications

(12 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The synchronisation principle describes the sharing of information from one artefact to another, thereby making sure that the artefacts share the same information base (e.g., [166]). During migration, the state of the users interaction is transferred from one device to another, thereby enabling users to migrate the interaction from one device to another (e.g., [173,179]). As illustrated in Table 1, continuity has only been investigated by 5 (3.0%) and is thereby the least explored theme.…”

Section: Customisationmentioning

confidence: 99%

See 1 more Smart Citation

Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference Publications

Schneiders

Cheon

Kjeldskov

et al. 2022

J. Hum.-Robot Interact.

View full text Add to dashboard Cite

Going beyond dyadic (one-to-one) interaction has been increasingly explored in HRI. Yet we lack a comprehensive view on non-dyadic interaction research in HRI. To map out 15 years of works investigating non-dyadic interaction, and thereby identifying the trend of the field and future research areas, we performed a literature review containing all 164 publications (2006-2020) from the HRI conference investigating non-dyadic interaction. Our approach is inspired by the 4C framework, an interaction framework focusing on understanding and categorising different types of interaction between humans and digital artefacts. The 4C framework consists of eight interaction principles for multi-user/multi-artefact interaction categorised into four broader themes. We modified the 4C framework to increase applicability and relevance in the context of non-dyadic human-robot interaction. We identify an increasing tendency towards non-dyadic research (36% in 2020), as well as a focus on simultaneous studies (85% from 2006-2020) over sequential. We also articulate seven interaction principles utilised in non-dyadic HRI and provide specific examples. Last, based on our findings, we discuss several salient points of non-dyadic HRI, the applicability of the modified 4C framework to HRI and potential future topics of interest as well as open-questions for non-dyadic research.

show abstract

Section: Customisationmentioning

confidence: 99%

“…Continuity and the two principles (synchronisation and migration) are only used in a very limited scope in current HRI conference literature (e.g., [166,173,179]). Synchronisation investigates systems in which the same knowledge base is shared across multiple devices.…”

Section: Customisationmentioning

confidence: 99%

Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference Publications

Schneiders

Cheon

Kjeldskov

et al. 2022

J. Hum.-Robot Interact.

View full text Add to dashboard Cite

show abstract

“…Team dynamics also change as robots become team members as opposed to tools [28][29][30]. Successful team collaboration needs to consider how human-robot and robot-robot interactions affect team dynamics.…”

Section: Human-robot Interaction (Hri)mentioning

confidence: 99%

“…Successful team collaboration needs to consider how human-robot and robot-robot interactions affect team dynamics. For example, Tan et al found that covert information exchanges between robots in a human-robot team were less desirable than sharing information aloud [28]. Additionally, Luria et al found that participants prefer agents that reembody (move their social presence from body to body) rather than co-embody (move their social presence into a body that already contains another) [29].…”

Section: Human-robot Interaction (Hri)mentioning

confidence: 99%

A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant

et al. 2021

View full text Add to dashboard Cite

Cognitive assistants use vocal interfaces and artificial intelligence to assist humans with complex tasks. While much research has focused on the application of these devices, a few studies have addressed how these devices affect the way humans work. To fill this gap, this research studied the effects of a cognitive assistant on mental workload, frustration, and effort. Participants worked with a Wizard-of-Oz style assistant and completed the Wisconsin Card-Sorting Task and engaged in a peripheral-detection task in a two-sample study that compared participants (n = 21) who worked with the assistant to those who did not. Follow-up interviews were also completed. Results suggest that onboarding techniques, such as tutorials, are important for developing analogical trust before regular use. Additionally, results suggest that keeping the mental model of the CA clear, simple, and intuitive is important to reduce the mental effort that is required to account for the CA and interactions with it while working. Cognitive assistants offer a broad range of advantages but also have distinct challenges for users: primarily the lack of physical affordances that can be linked to functionality.

show abstract

“…Applications include, for example, search and rescue tasks, transportation, detection of forest fires and inventory handlingand all of them require robot-to-robot interaction in one way or another (Jawhar et al, 2018;Tuci et al, 2018). Multi-robot systems can be expected also in settings involving service to consumers, which means that consumers in the near future are likely to become exposed to robot-to-robot interactionssuch as when the customer encounters a robot that subsequently "hands over" the customer to a second robot (Tan et al, 2019) and when a human asks two robots to carry out a task that requires interrobot communication (Williams et al, 2015). Robots talking to each other in a service environment may also be used to transmit information to the customer who can "overhear" what they say (Pan et al, 2015;Sakamoto et al, 2009).…”

Section: Introductionmentioning

confidence: 99%

The robot-to-robot service encounter: an examination of the impact of inter-robot warmth

Söderlund

2021

JSM

View full text Add to dashboard Cite

Purpose This study aims to examine humans’ reactions to service robots’ display of warmth in robot-to-robot interactions – a setting in which humans’ impressions of a service robot will not only be based on what this robot does in relation to humans, but also on what it does to other robots. Design/methodology/approach Service robot display of warmth was manipulated in an experimental setting in such a way that a service robot A expressed low versus high levels of warmth in relation to another service robot B. Findings The results indicate that a high level of warmth expressed by robot A vis-à-vis robot B boosted humans’ overall evaluations of A, and that this influence was mediated by the perceived humanness and the perceived happiness of A. Originality/value Numerous studies have examined humans’ reactions when they interact with a service robot or other synthetic agents that provide service. Future service encounters, however, will comprise also multi-robot systems, which means that there will be many opportunities for humans to be exposed to robot-to-robot interactions. Yet, this setting has hitherto rarely been examined in the service literature.

show abstract

From One to Another: How Robot-Robot Interaction Affects Users' Perceptions Following a Transition Between Robots

Cited by 39 publications

References 27 publications

Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference Publications

Non-Dyadic Interaction: A Literature Review of 15 Years of Human-Robot Interaction Conference Publications

A Query Conundrum: The Mental Challenges of Using a Cognitive Assistant

The robot-to-robot service encounter: an examination of the impact of inter-robot warmth

Contact Info

Product

Resources

About