Companion robots for elderly people: Using theatre to investigate potential users' views

Walters, Michael L.; Koay, Kheng Lee; Syrdal, Dag Sverre; Campbell, Anne; Dautenhahn, Kerstin

doi:10.1109/roman.2013.6628393

Cited by 14 publications

(9 citation statements)

References 21 publications

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“…As revealed in study 2, eeriness towards robots decreased most strongly, the more useful a robot was perceived to be. However, a robot's ability to assist may not only depend on its mind capacities and non-mind qualities per se, but also on the task for which assistance is sought (Goetz, Kiesler, & Powers, 2003;Walters et al, 2013). Phrased differently, the effect of mind attributions and non-mind judgments on eeriness towards robots may also depend on their purpose.…”

Section: Discussionmentioning

confidence: 99%

Now you feel it, now you don’t

Quadflieg¹,

Ul-Haq

Mavridis

2016

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Robots seemingly in possession of an experiential mind, as well as humans allegedly incapable thereof, have been reported to elicit feelings of eeriness in their perceivers. The current work re-examined this claim, asking participants to rate both robots and humans in various social situations regarding their mind capacities (e.g., emotional capability, intelligence), non-mind qualities (e.g., animacy, usefulness), and overall appeal (e.g., eeriness, likeability). It was found that feelings of eeriness towards both targets formed a distinct emotional response that was separable from simple dislike. Yet, unexpectedly, eeriness towards both targets intensified, the less they were seen as possessing a typical human mind. For robots, however, this association was less consistent. Moreover, eeriness towards robots, but not towards humans, was most strongly predicted by a lack of perceived usefulness. These results indicate that mind attributions affect people’s attitudes towards each other more strongly than their attitudes towards humanoid robots.

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Section: Discussionmentioning

confidence: 99%

Now you feel it, now you don’t

Quadflieg¹,

Ul-Haq

Mavridis

2016

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“…Theatre and live performance have proven to be valuable sites for conducting tractable HRI research. Scripted theatre plays can be used as discussion tools concerning possible future care and work scenarios between humans and robots (Walters et al 2013;Jochum et al 2017), or as sites for exploring innovative approaches to the design and control of creative machinic performers and their effects on audiences (Demers 2016;Jochum et al 2016;Vorn 2016). Typically, audiences observe a performance and afterward complete selfassessments or group interviews.…”

Section: Performance As Researchmentioning

confidence: 99%

Becoming Cyborg: Interdisciplinary Approaches for Exoskeleton Research

Jochum

Demers

Vorn

et al. 2018

Electronic Workshops in Computing

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This paper describes novel interdisciplinary approaches for the design and training of cyborg technologies, specifically upper body exoskeletons. EXACT: Exoskeletons, Art and Choreographic Training is a multi-faceted research effort that uses dance performance and experimental trials to study the effects of movement and live performance on exoskeleton training. The goal is to combine research methods from the arts with human robot interaction (HRI) research. The rationale for using ethnographic methods (which privilege qualitative analysis through video data and multimodal interaction analysis) within an HRI framework is to develop nuanced approaches for studying embodiment and techno-corporeality in socially-situated contexts. This investigation has led to the development of new evaluation tools and frameworks for studying human-machine interaction, including human-centred assessments and custom virtual reality tools that allow for fine-grained analysis. An interdisciplinary approach is essential for studying the corporeal experience in human-machine interactions.

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“…With the automation of factories and the arrival of interactive robots in our everyday life, research on human-robot collaboration has been very active these last years [4]. Robots are already used to help children with autism [16], to interact with elderly people [21] or to guide visitors in a museum [20]. For these applications, the robots used are mainly anthropomorphic.…”

Section: Human Robot Collaborationmentioning

confidence: 99%

A User-Adaptive Gesture Recognition System Applied to Human-Robot Collaboration in Factories

Coupeté

Moutarde

Manitsaris

2016

Proceedings of the 3rd International Symposium on Movement and Computing

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International audienceEnabling Human-Robot collaboration (HRC) requires robot with the capacity to understand its environment and actions performed by persons interacting with it. In this paper we are dealing with industrial collaborative robots on assembly line in automotive factories. These robots have to work with operators on common tasks. We are working on technical gestures recognition to allow robot to understand which task is being executed by the operator, in order to synchronize its actions. We are using a depth-camera with a top view and we track hands positions of the worker. We use discrete HMMs to learn and recognize technical gestures. We are also interested in a system of gestures recognition which can adapt itself to the operator. Indeed, a same technical gesture seems very similar from an operator to another, but each operator has his/her own way to perform it. In this paper, we study an adaptation of the recognition system by modifying the learning database with a addition very small amount of gestures. Our research shows that by adding 2 sets of gestures to be recognized from the operator who is working with the robot, which represents less than 1% of the database, we can improve correct recognitions rate by ~3.5%. When we add 10 sets of gestures, 2.6% of the database, the improvement reaches 5.7%

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Companion robots for elderly people: Using theatre to investigate potential users' views

Cited by 14 publications

References 21 publications

Now you feel it, now you don’t

Now you feel it, now you don’t

Becoming Cyborg: Interdisciplinary Approaches for Exoskeleton Research

A User-Adaptive Gesture Recognition System Applied to Human-Robot Collaboration in Factories

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