Video prototyping of dog-inspired non-verbal affective communication for an appearance constrained robot

Syrdal, Dag Sverre; Koay, Kheng Lee; Gácsi, Márta; Walters, Michael L.; Dautenhahn, Kerstin

doi:10.1109/roman.2010.5598693

Cited by 34 publications

(21 citation statements)

References 21 publications

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“…The dog has already been successfully applied as the prototype of non-human companions in humanrobot interaction research (Ichikawa et al, 2012;Koay et al, 2013;Kovács, Vincze, Gácsi, Miklósi, & Korondi, 2009;Lakatos, Gácsi, et al, 2014;Syrdal, Koay, Gácsi, Walters, & Dautenhahn, 2010). Social robots are designed to actively interact with humans and, similarly to dogs, they need to fulfil double criteria: i) successful performance of the actions necessary for their specific function (i.e.…”

Section: Introductionmentioning

confidence: 99%

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Gácsi

Kis

Faragó

et al. 2016

Computers in Human Behavior

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In social robotics it has been a crucial issue to determine the minimal set of relevant behaviour actions that humans interpret as social competencies. As a potential alternative of mimicking human abilities, it has been proposed to use a non-human animal, the dog as a natural model for developing simple, non-linguistic emotional expressions for non-humanoid social robots. In the present study human participants were presented with short video sequences in which a PeopleBot robot and a dog displayed behaviours that corresponded to five emotional states (joy, fear, anger, sadness, and neutral) in a neutral environment. The actions of the robot were developed on the basis of dog expressive behaviours that had been described in previous studies of dog-human interactions. In their answers to open-ended questions, participants spontaneously attributed emotional states to both the robot and the dog.They could also successfully match all dog videos and all robot videos with the correct emotional state. We conclude that our bottom up approach (starting from a simpler animal signalling system, rather than decomposing complex human signalling systems) can be used as a promising model for developing believable and easily recognisable emotional displays for non-humanoid social robots. Highlights:Humans spontaneously attribute emotions to an ethologically inspired robot 2 Dog emotional videos prime the attribution of emotions to robot videos Participants were able to match both dog and robot videos to the corresponding emotions Experience with dogs does not help identify dog and robot emotions

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Section: Introductionmentioning

confidence: 99%

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Gácsi

Kis

Faragó

et al. 2016

Computers in Human Behavior

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“…We are not using light signalling for expressing emotional states or interaction history, which is a different direction of work (cf. Syrdal et al [54] and Bethel and Murphy [2]). …”

Section: Understanding the Robot's Intentions Via Explicit Signallingmentioning

confidence: 96%

“…Robots that are constrained in terms of appearance may have to rely on explicit signalling, which sometimes may draw on animal behaviour [31,54], but are often presented as arbitrary signals, possibly drawing on signalling conventions (e.g. derived from traffic rules [2]) to communicate and disambiguate their intentions.…”

Section: Understanding the Robot's Intentions Via Explicit Signallingmentioning

confidence: 99%

Social Roles and Baseline Proxemic Preferences for a Domestic Service Robot

Koay

Syrdal

Ashgari-Oskoei

et al. 2014

Int J of Soc Robotics

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The goal of our research is to develop socially acceptable behavior for domestic robots in a setting where a user and the robot are sharing the same physical space and interact with each other in close proximity. Specifically, our research focuses on approach distances and directions in the context of a robot handing over an object to a user. Our present study consisted of two parts. Firstly, we carried out a large-scale survey trying to identify the internal structure between users' different social role expectations and the relationships between these and users' technology usage. Results from this study led to the development of a measure for preferred robot social roles. In the second part, this measure was used in a live human-robot interaction (HRI) study in a home setting, designed to create a baseline understanding of The work described in this paper was conducted within the EU Integrated Projects LIREC (LIving with Robots and intEractive Companions, funded by the European Commission under contract numbers FP7 215554, and partly funded by the ACCOMPANY project, a part of the European Union's Seventh Framework Programme (FP7/2007(FP7/ -2013 human-robot Proxemics approach directions and distances for a Care-O-bot 3 based on these roles. In order to support users interpretation of the robots intentions in those tasks, the HRI studies used a simple LED light display panel. Findings indicate that, participants were comfortable with the robot approaching to the closest implemented distance (0.5 m). For the task requiring relatively more coordination, participants preferred the robot to approach from the front to a larger extent than for tasks requiring less coordination. The ability to identify the signals from the LED display also impacted how participants evaluated the robots behaviour. Users who had previous experience of interacting with robots differentiated less between approaches, and also evaluated tasks requiring more coordination with the robot more favourably. The findings in the short-term sample were strongly influenced by expectations as to the social role expectation they had of the robot, suggesting that social expectations impact proxemic interactions even if the robot platform is clearly not humanoid.

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“…Here the participants' interactions with the robot are framed within a narrative that allows them to evaluate the potential impact of the prototype in everyday life situations. These scenarios can be presented to the participants as written stories (Blythe and Wright 2006), videos Syrdal et al 2010), theater performances Chatley et al 2010;Newell et al 2006), or live humanrobot interactions ). The second approach is more reductionist and condenses and abstracts the salient features of the interaction into a controlled experimental setup.…”

Section: Please Scroll Down For Articlementioning

confidence: 99%

Integrating Constrained Experiments in Long-Term Human–Robot Interaction Using Task- and Scenario-Based Prototyping

Syrdal

Dautenhahn

Koay

et al. 2015

The Information Society

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Video prototyping of dog-inspired non-verbal affective communication for an appearance constrained robot

Cited by 34 publications

References 21 publications

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Humans attribute emotions to a robot that shows simple behavioural patterns borrowed from dog behaviour

Social Roles and Baseline Proxemic Preferences for a Domestic Service Robot

Integrating Constrained Experiments in Long-Term Human–Robot Interaction Using Task- and Scenario-Based Prototyping

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