Robot Expressive Motions

Venture, Gentiane; Kulić, Dana

doi:10.1145/3344286

Cited by 50 publications

(18 citation statements)

References 83 publications

(84 reference statements)

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“…It is argued that mutual interaction between humans and humans is needed if robots should be considered as partners instead of as tools [17,19,30,[35][36][37], but to what extent they need to grasp the intentions of others is a much debated issue. However, at least it is argued that to achieve some kind of action and intention recognition between humans and robots, which possibly is a pre-requisite for some basic social interaction skills [24,26,28,30], is necessary for developing into engaging in more advanced forms of social interaction such as joint actions and mutual collaboration [38][39][40][41][42][43][44][45][46][47][48][49][50][51][52][53][54][55]. In other words, it requires that robots are able to perceive similar emotional and behavioral patterns and environmental cues as humans do (e.g., [1,5,[53][54][55]).…”

Section: Introductionmentioning

confidence: 99%

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom¹,

Alenljung²

2020

Sensors

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The coexistence of robots and humans in shared physical and social spaces is expected to increase. A key enabler of high-quality interaction is a mutual understanding of each other’s actions and intentions. In this paper, we motivate and present a systematic user experience (UX) evaluation framework of action and intention recognition between humans and robots from a UX perspective, because there is an identified lack of this kind of evaluation methodology. The evaluation framework is packaged into a methodological approach called ANEMONE (action and intention recognition in human robot interaction). ANEMONE has its foundation in cultural-historical activity theory (AT) as the theoretical lens, the seven stages of action model, and user experience (UX) evaluation methodology, which together are useful in motivating and framing the work presented in this paper. The proposed methodological approach of ANEMONE provides guidance on how to measure, assess, and evaluate the mutual recognition of actions and intentions between humans and robots for investigators of UX evaluation. The paper ends with a discussion, addresses future work, and some concluding remarks.

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Section: Introductionmentioning

confidence: 99%

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Lindblom¹,

Alenljung²

2020

Sensors

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“… Sharma et al (2013) also previously used these two characteristics of the Laban Effort System to explore how they impacted people’s perception of robotic motions, specifically flight paths. These categories are also well reflected within categories mentioned throughout ( Venture and Kulić, 2019 ). This taxonomy is presented in Table 1 .…”

Section: Phasementioning

confidence: 64%

Aerial Flight Paths for Communication

Bevins

Duncan

2021

Front. Robot. AI

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This article presents an understanding of naive users’ perception of the communicative nature of unmanned aerial vehicle (UAV) motions refined through an iterative series of studies. This includes both what people believe the UAV is trying to communicate, and how they expect to respond through physical action or emotional response. Previous work in this area prioritized gestures from participants to the vehicle or augmenting the vehicle with additional communication modalities, rather than communicating without clear definitions of the states attempting to be conveyed. In an attempt to elicit more concrete states and better understand specific motion perception, this work includes multiple iterations of state creation, flight path refinement, and label assignment. The lessons learned in this work will be applicable broadly to those interested in defining flight paths, and within the human-robot interaction community as a whole, as it provides a base for those seeking to communicate using non-anthropomorphic robots. We found that the Negative Attitudes towards Robots Scale (NARS) can be an indicator of how a person is likely to react to a UAV, the emotional content they are likely to perceive from a message being conveyed, and it is an indicator for the personality characteristics they are likely to project upon the UAV. We also see that people commonly associate motions from other non-verbal communication situations onto UAVs. Flight specific recommendations are to use a dynamic retreating motion from a person to encourage following, use a perpendicular motion to their field of view for blocking, simple descending motion for landing, and to use either no motion or large altitude changes to encourage watching. Overall, this research explores the communication from the UAV to the bystander through its motion, to see how people respond physically and emotionally.

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“…Body language represents an extremely powerful and complex form of communication. Robotic agents can also leverage expressive motions to convey a variety of information to people interacting with them [91]. What emerged from the ndings of our study is that pilots are able to express their unique body languages through their avatars using solely a combination of head movements and small sub-set of pre-programmed movements available through OriHime and OriHime-D.…”

Section: A Dierent Form Of Embodimentmentioning

confidence: 88%

Accessible Parallel Embodiment of Multiple Robotic Avatars in a Cafe

Barbareschi¹,

Kawaguchi

Kato

et al. 2022

XRDS

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Novel technological systems enabling people to control multiple robotic avatars simultaneously could support more accessible ways to multitask. An implementation of a parallel avatar system in a cafe shows that, leveraging their existing skills, remote workers with disabilities were able to utilize the system to control up to four robots, each with a different function, to assist customers in a cafe. The parallel avatar systems expand the agency and the capabilities of disabled workers, while also delivering better experiences to customers.

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Robot Expressive Motions

Cited by 50 publications

References 83 publications

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

The ANEMONE: Theoretical Foundations for UX Evaluation of Action and Intention Recognition in Human-Robot Interaction

Aerial Flight Paths for Communication

Accessible Parallel Embodiment of Multiple Robotic Avatars in a Cafe

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