Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car

Besides reduction of energy consumption, which implies alternate actuation and light construction, the main research domain in automobile development in the near future is dominated by driver assistance and natural driver-car communication. The ability of a car to understand natural speech and provi...

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Main Authors: Florian Eyben, Martin Wöllmer, Tony Poitschke, Björn Schuller, Christoph Blaschke, Berthold Färber, Nhu Nguyen-Thien
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Advances in Human-Computer Interaction
Online Access:http://dx.doi.org/10.1155/2010/263593
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author Florian Eyben
Martin Wöllmer
Tony Poitschke
Björn Schuller
Christoph Blaschke
Berthold Färber
Nhu Nguyen-Thien
author_facet Florian Eyben
Martin Wöllmer
Tony Poitschke
Björn Schuller
Christoph Blaschke
Berthold Färber
Nhu Nguyen-Thien
author_sort Florian Eyben
collection DOAJ
description Besides reduction of energy consumption, which implies alternate actuation and light construction, the main research domain in automobile development in the near future is dominated by driver assistance and natural driver-car communication. The ability of a car to understand natural speech and provide a human-like driver assistance system can be expected to be a factor decisive for market success on par with automatic driving systems. Emotional factors and affective states are thereby crucial for enhanced safety and comfort. This paper gives an extensive literature overview on work related to influence of emotions on driving safety and comfort, automatic recognition, control of emotions, and improvement of in-car interfaces by affect sensitive technology. Various use-case scenarios are outlined as possible applications for emotion-oriented technology in the vehicle. The possible acceptance of such future technology by drivers is assessed in a Wizard-Of-Oz user study, and feasibility of automatically recognising various driver states is demonstrated by an example system for monitoring driver attentiveness. Thereby an accuracy of 91.3% is reported for classifying in real-time whether the driver is attentive or distracted.
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publishDate 2010-01-01
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series Advances in Human-Computer Interaction
spelling doaj-art-a6a912e2cfbc420faaf5212c8b6d39732025-08-20T02:20:45ZengWileyAdvances in Human-Computer Interaction1687-58931687-59072010-01-01201010.1155/2010/263593263593Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the CarFlorian Eyben0Martin Wöllmer1Tony Poitschke2Björn Schuller3Christoph Blaschke4Berthold Färber5Nhu Nguyen-Thien6Institute for Human-Machine Communication, Technische Universität München, 80333 München, GermanyInstitute for Human-Machine Communication, Technische Universität München, 80333 München, GermanyInstitute for Human-Machine Communication, Technische Universität München, 80333 München, GermanyInstitute for Human-Machine Communication, Technische Universität München, 80333 München, GermanyHuman Factors Institute, Universität der Bundeswehr München, 85577 Neubiberg, GermanyHuman Factors Institute, Universität der Bundeswehr München, 85577 Neubiberg, GermanyContinental Automotive GmbH, Interior BU Infotainment & Connectivity, Advanced Development and Innovation, 93055 Regensburg, GermanyBesides reduction of energy consumption, which implies alternate actuation and light construction, the main research domain in automobile development in the near future is dominated by driver assistance and natural driver-car communication. The ability of a car to understand natural speech and provide a human-like driver assistance system can be expected to be a factor decisive for market success on par with automatic driving systems. Emotional factors and affective states are thereby crucial for enhanced safety and comfort. This paper gives an extensive literature overview on work related to influence of emotions on driving safety and comfort, automatic recognition, control of emotions, and improvement of in-car interfaces by affect sensitive technology. Various use-case scenarios are outlined as possible applications for emotion-oriented technology in the vehicle. The possible acceptance of such future technology by drivers is assessed in a Wizard-Of-Oz user study, and feasibility of automatically recognising various driver states is demonstrated by an example system for monitoring driver attentiveness. Thereby an accuracy of 91.3% is reported for classifying in real-time whether the driver is attentive or distracted.http://dx.doi.org/10.1155/2010/263593
spellingShingle Florian Eyben
Martin Wöllmer
Tony Poitschke
Björn Schuller
Christoph Blaschke
Berthold Färber
Nhu Nguyen-Thien
Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
Advances in Human-Computer Interaction
title Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
title_full Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
title_fullStr Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
title_full_unstemmed Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
title_short Emotion on the Road—Necessity, Acceptance, and Feasibility of Affective Computing in the Car
title_sort emotion on the road necessity acceptance and feasibility of affective computing in the car
url http://dx.doi.org/10.1155/2010/263593
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