Using paralinguistic cues in speech to recognise emotions in older car drivers

Christian M Jones; I-M Jonsson

doi:10.1007/978-3-540-85099-1_20

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Using paralinguistic cues in speech to recognise emotions in older car drivers

Book chapter

Peer reviewed

Using paralinguistic cues in speech to recognise emotions in older car drivers

Christian M Jones and I-M Jonsson

Affect and emotion in human-computer interaction, pp.229-240

Lecture Notes in Computer Science (LNCS), 4868, Springer

2008

DOI: https://doi.org/10.1007/978-3-540-85099-1_20

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Abstract

emotion recognition

automotive control

in-car systems

paralinguistic cues

affective computing

speech interaction

Interactive speech based systems are moving into the car since speech interactions are considered less detrimental to the driver than interactions with a display. The introduction of in-car speech-based interactions highlights the potential influence of linguistic and paralinguistic cues such as emotion. Emotions direct and focus people's attention on objects and situations, and affects performance, judgment and risk-taking. All of these properties are crucial for driving where the smallest slip-up can have grave repercussions. Emotional cues in a car-voice, paired with the emotional state of the driver, have been found to influence driving performance. This initiated the design of an in-car driver emotion detection and response system. Results show that the in-car system can recognise and track changes in the emotional state of the driver. This study considers older drivers who often feel both unsafe and insecure due to concerns about declining abilities and in particular vision.

Details

Title: Using paralinguistic cues in speech to recognise emotions in older car drivers
Authors: Christian M Jones (Author) - University of the Sunshine Coast - Faculty of Science, Health and Education
I-M Jonsson (Author) - Stanford University, United States
Contributors: C Peter (Editor)
R Beale (Editor)
Publication details: Affect and emotion in human-computer interaction, pp.229-240
Series: Lecture Notes in Computer Science (LNCS); 4868
Publisher: Springer
Date published: 2008
DOI: 10.1007/978-3-540-85099-1_20
ISBN: 9783540850984
Organisation Unit: School of Social Sciences - Legacy; University of the Sunshine Coast, Queensland; Engage Research Lab; School of Law and Society
Language: English
Record Identifier: 99449292902621
Output Type: Book chapter

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