Are Discrete Emotions Useful in Human-Robot Interaction?: Feedback from Motion Capture Analysis

Matthew Lewis; Lola Cañamero

doi:10.1109/ACII.2013.23

Are Discrete Emotions Useful in Human-Robot Interaction? Feedback from Motion Capture Analysis

Matthew Lewis, Lola Cañamero

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

13 Citations (Scopus)

Abstract

We have conducted a study analyzing motion capture data of bodily expressions of human emotions towards the goal of building a social expressive robot that interacts with and supports hospitalized children. Although modeling emotional expression (and recognition) in (by) robots in terms of discrete categories presents advantages such as ease and clarity of interpretation, our results show that this approach also poses a number of problems. The main issues relate to the loss of subtle expressions and feelings, individual features, context, and social interaction elements that are present in real life.

Original language	English
Title of host publication	Affective Computing and Intelligent Interaction (ACII) 2013
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	97-102
Number of pages	6
ISBN (Electronic)	978-0-7695-5048-0
DOIs	https://doi.org/10.1109/ACII.2013.23
Publication status	Published - 2013

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title = "Are Discrete Emotions Useful in Human-Robot Interaction?: Feedback from Motion Capture Analysis",

abstract = "We have conducted a study analyzing motion capture data of bodily expressions of human emotions towards the goal of building a social expressive robot that interacts with and supports hospitalized children. Although modeling emotional expression (and recognition) in (by) robots in terms of discrete categories presents advantages such as ease and clarity of interpretation, our results show that this approach also poses a number of problems. The main issues relate to the loss of subtle expressions and feelings, individual features, context, and social interaction elements that are present in real life. ",

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AB - We have conducted a study analyzing motion capture data of bodily expressions of human emotions towards the goal of building a social expressive robot that interacts with and supports hospitalized children. Although modeling emotional expression (and recognition) in (by) robots in terms of discrete categories presents advantages such as ease and clarity of interpretation, our results show that this approach also poses a number of problems. The main issues relate to the loss of subtle expressions and feelings, individual features, context, and social interaction elements that are present in real life.

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DO - 10.1109/ACII.2013.23

M3 - Conference contribution

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BT - Affective Computing and Intelligent Interaction (ACII) 2013

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Are Discrete Emotions Useful in Human-Robot Interaction? Feedback from Motion Capture Analysis

Abstract

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