Dataset Information

Emotion attribution to a non-humanoid robot in different social situations.

ABSTRACT: In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human-animal interaction can provide a useful biological model for designing social robots. Dogs can provide a promising biological model since during the domestication process dogs were able to adapt to the human environment and to participate in complex social interactions. In this observational study we propose to design emotionally expressive behaviour of robots using the behaviour of dogs as inspiration and to test these dog-inspired robots with humans in inter-specific context. In two experiments (wizard-of-oz scenarios) we examined humans' ability to recognize two basic and a secondary emotion expressed by a robot. In Experiment 1 we provided our companion robot with two kinds of emotional behaviour ("happiness" and "fear"), and studied whether people attribute the appropriate emotion to the robot, and interact with it accordingly. In Experiment 2 we investigated whether participants tend to attribute guilty behaviour to a robot in a relevant context by examining whether relying on the robot's greeting behaviour human participants can detect if the robot transgressed a predetermined rule. Results of Experiment 1 showed that people readily attribute emotions to a social robot and interact with it in accordance with the expressed emotional behaviour. Results of Experiment 2 showed that people are able to recognize if the robot transgressed on the basis of its greeting behaviour. In summary, our findings showed that dog-inspired behaviour is a suitable medium for making people attribute emotional states to a non-humanoid robot.

SUBMITTER: Lakatos G

PROVIDER: S-EPMC4281080 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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Emotion attribution to a non-humanoid robot in different social situations.

Lakatos Gabriella G Gácsi Márta M Konok Veronika V Brúder Ildikó I Bereczky Boróka B Korondi Péter P Miklósi Ádám Á

PloS one 20141231 12

In the last few years there was an increasing interest in building companion robots that interact in a socially acceptable way with humans. In order to interact in a meaningful way a robot has to convey intentionality and emotions of some sort in order to increase believability. We suggest that human-robot interaction should be considered as a specific form of inter-specific interaction and that human-animal interaction can provide a useful biological model for designing social robots. Dogs can ...[more]

PMID: 25551218

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Project description:ObjectivesFor children to understand the emotional behavior of others, the first two steps involve emotion encoding and emotion interpreting, according to the Social Information Processing model. Access to daily social interactions is prerequisite to a child acquiring these skills, and barriers to communication such as hearing loss impede this access. Therefore, it could be challenging for children with hearing loss to develop these two skills. The present study aimed to understand the effect of prelingual hearing loss on children's emotion understanding, by examining how they encode and interpret nonverbal emotional cues in dynamic social situations.DesignSixty deaf or hard-of-hearing (DHH) children and 71 typically hearing (TH) children (3-10 years old, mean age 6.2 years, 54% girls) watched videos of prototypical social interactions between a target person and an interaction partner. At the end of each video, the target person did not face the camera, rendering their facial expressions out of view to participants. Afterward, participants were asked to interpret the emotion they thought the target person felt at the end of the video. As participants watched the videos, their encoding patterns were examined by an eye tracker, which measured the amount of time participants spent looking at the target person's head and body and at the interaction partner's head and body. These regions were preselected for analyses because they had been found to provide cues for interpreting people's emotions and intentions.ResultsWhen encoding emotional cues, both the DHH and TH children spent more time looking at the head of the target person and at the head of the interaction partner than they spent looking at the body or actions of either person. Yet, compared with the TH children, the DHH children looked at the target person's head for a shorter time (b = -0.03, p = 0.030), and at the target person's body (b = 0.04, p = 0.006) and at the interaction partner's head (b = 0.03, p = 0.048) for a longer time. The DHH children were also less accurate when interpreting emotions than their TH peers (b = -0.13, p = 0.005), and their lower scores were associated with their distinctive encoding pattern.ConclusionsThe findings suggest that children with limited auditory access to the social environment tend to collect visually observable information to compensate for ambiguous emotional cues in social situations. These children may have developed this strategy to support their daily communication. Yet, to fully benefit from such a strategy, these children may need extra support for gaining better social-emotional knowledge.

Dataset Information

Emotion attribution to a non-humanoid robot in different social situations.

Publications

Emotion attribution to a non-humanoid robot in different social situations.

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