It’s not all written on the robot’s face

Zhang, Jiaming; Sharkey, Amanda J. C.

doi:10.1016/j.robot.2012.05.017

Cited by 6 publications

(9 citation statements)

References 12 publications

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“…With the exception of a handful of studies (e.g., [6,46,47]) that examine the perception of robotic facial expressions in the presence of incongruent contextual information (i.e., movie clips or pictures), the perception of multimodal emotional signals from robots has mainly focused on studies comparing responses to unimodal versus congruent bimodal emotional stimuli (e.g., [23][24][25]). These studies have examined the perception of emotional expressions involving faces and voices [23], faces and gestures [24], gestures and voices [25] and face-voice-gesture [23] combinations.…”

Section: Multisensory Interaction Research In Hrimentioning

confidence: 99%

“…A small number of HRI studies (e.g., [6,46,47]) have examined the perception of robotic facial expressions in the presence of incongruent contextual information. The context was manipulated by having participants watch emotioneliciting pictures or movie clips or listen to news clips with positive or negative emotional valence.…”

Section: Multisensory Interaction Research In Hrimentioning

confidence: 99%

“…Providing incongruent context can even be worse than providing no context at all [47]. Furthermore, [46] showed that when the expressions of a robot are not appropriate given the context, subjects' judgments are more biased by the context than the expressions themselves. Finally, results also suggest that trust towards the robot is decreased when the robot's emotional response is incongruent with the affective state of the user [6].…”

Section: Multisensory Interaction Research In Hrimentioning

confidence: 99%

“…1). A number of previous studies have also suggested that the effects of congruence may vary by valence (e.g., [46,47,51]). We chose to investigate the emotions of happiness, sadness, and surprise for a number of reasons.…”

Section: Experimental Designmentioning

confidence: 99%

“…Previous work indicates the contextual effect on the recognition of robot [46,47] and human [45] emotional expressions. For instance, Niedenthal et al [43] found that observers may be influenced by their own emotional state when they were asked to attribute emotional states to human facial expressions.…”

Section: Effects Of Contextual Incongruencementioning

confidence: 99%

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Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots

Tsiourti

Weiss

Wac

et al. 2019

Int J of Soc Robotics

133

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Humanoid social robots have an increasingly prominent place in today's world. Their acceptance in social and emotional human-robot interaction (HRI) scenarios depends on their ability to convey well recognized and believable emotional expressions to their human users. In this article, we incorporate recent findings from psychology, neuroscience, human-computer interaction, and HRI, to examine how people recognize and respond to emotions displayed by the body and voice of humanoid robots, with a particular emphasis on the effects of incongruence. In a social HRI laboratory experiment, we investigated contextual incongruence (i.e., the conflict situation where a robot's reaction is incongrous with the socio-emotional context of the interaction) and cross-modal incongruence (i.e., the conflict situation where an observer receives incongruous emotional information across the auditory (vocal prosody) and visual (whole-body expressions) modalities). Results showed that both contextual incongruence and cross-modal incongruence confused observers and decreased the likelihood that they accurately recognized the emotional expressions of the robot. This, in turn, gives the impression that the robot is unintelligent or unable to express "empathic" behaviour and leads to profoundly harmful effects on likability and believability. Our findings reinforce the need of proper design of emotional expressions for robots that use several channels to communicate their emotional states in a clear and effective way. We offer recommendations regarding design choices and discuss future research areas in the direction of multimodal HRI.

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Section: Multisensory Interaction Research In Hrimentioning

confidence: 99%

Section: Multisensory Interaction Research In Hrimentioning

confidence: 99%

Section: Multisensory Interaction Research In Hrimentioning

confidence: 99%

Section: Experimental Designmentioning

confidence: 99%

Section: Effects Of Contextual Incongruencementioning

confidence: 99%

See 3 more Smart Citations

Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots

Tsiourti

Weiss

Wac

et al. 2019

Int J of Soc Robotics

133

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Should we welcome robot teachers?

2016

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Current uses of robots in classrooms are reviewed and used to characterise four scenarios: (s1) Robot as Classroom Teacher; (s2) Robot as Companion and Peer; (s3) Robot as Care-eliciting Companion; and (s4) Telepresence Robot Teacher. The main ethical concerns associated with robot teachers are identified as: privacy; attachment, deception, and loss of human contact; and control and accountability. These are discussed in terms of the four identified scenarios. It is argued that classroom robots are likely to impact children's' privacy, especially when they masquerade as their friends and companions, when sensors are used to measure children's responses, and when records are kept. Social robots designed to appear as if they understand and care for humans necessarily involve some deception (itself a complex notion), and could increase the risk of reduced human contact. Children could form attachments to robot companions (s2 and s3), or robot teachers (s1) and this could have a deleterious effect on their social development. There are also concerns about the ability, and use of robots to control or make decisions about children's behaviour in the classroom. It is concluded that there are good reasons not to welcome fully fledged robot teachers (s1), and that robot companions (s2 and 3) should be given a cautious welcome at best. The limited circumstances in which robots could be used in the classroom to improve the human condition by offering otherwise unavailable educational experiences are discussed. Keywords Robot teacher Á Robot companion Á Robot ethics Á Attachment Á Deception Á Privacy Á Classroom One looks back with appreciation to the brilliant teachers, but with gratitude to those who touched our human feelings. The curriculum is so much necessary raw material, but warmth is the vital element for the growing plant and for the soul of the child. (Carl Jung 1953)

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Intelligent Control Architecture for Assistive Mobile Robots

Alves

Filho

2016

J Control Autom Electr Syst

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The current technology has provided the necessary means for creating better assistive tools. Among these tools, the interest on assistive robotics has been growing, since its cost is being reduced and new equipment is introduced on the market. Yet, developing robots for aiding therapy is not an easy task because robotics is intrinsically multidisciplinary. Among the several research fields contributing to robotics research, two are of particular interest: control architectures and human-robot interaction. This paper covers ongoing research projects on assistive mobile robots for child rehabilitation developed in collaboration with Brazilian and Colombian Universities and proposes an intelligent control architecture based on human-robot interaction for assistive applications. Furthermore, it presents a case study on assistive robots for special education.

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It’s not all written on the robot’s face

Cited by 6 publications

References 12 publications

Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots

Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots

Should we welcome robot teachers?

Intelligent Control Architecture for Assistive Mobile Robots

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