Using Paralinguistic Cues in Speech to Recognise Emotions in Older Car Drivers

Authors:
Christian Jones;Ing-Marie Jonsson
Affiliations:
University of the Sunshine Coast, Queensland, Australia 4558;Department of Communication, Stanford University, USA 94305
Venue:
Affect and Emotion in Human-Computer Interaction
Year:
2008

Citing 4
Cited 3

Affective computing

Affective computing
Agents that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent

Agents that care: investigating the effects of orientation of emotion exhibited by an embodied computer agent
Improving automotive safety by pairing driver emotion and car voice emotion

CHI '05 Extended Abstracts on Human Factors in Computing Systems
Performance analysis of acoustic emotion recognition for in-car conversational interfaces

UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction

Automatic Recognition of Emotions from Speech: A Review of the Literature and Recommendations for Practical Realisation

Affect and Emotion in Human-Computer Interaction
The Composite Sensing of Affect

Affect and Emotion in Human-Computer Interaction
An angry driver is not the same as a fearful driver: effects of specific negative emotions on risk perception, driving performance, and workload

Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.