Emotion Induction in Virtual Environments: A Novel Paradigm Using Immersive Scenarios in Driving Simulators

Seunghyun Woo, Dongjin Hyun, Dong Seon Chang, Christian Wallraven, Daeyun An, Manfred Dangelmaier

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Emotions are central to all human experiences. Inducing and measuring emotions, however, has been one of the most difficult tasks, since the nature of emotions includes rapid changes and heterogeneity across different individuals. Until very recently, traditional methods for inducing emotional states mostly relied on the presentation of predefined visual or auditory stimuli including images, text or sound. However, with the rise of new emerging media and technologies such as movies, games and virtual/augmented reality, these classical emotion induction methods have been often criticized to be outdated and not being effective enough. In the present research, we propose a new emotion induction method based on immersive scenarios presented in virtual environments embedded in a driving simulator. The immersive scenarios presented realistic

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2017 Posters, SA 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450354059
DOIs
Publication statusPublished - 2017 Nov 27
EventSIGGRAPH Asia 2017 Posters, SA 2017 - Bangkok, Thailand
Duration: 2017 Nov 272017 Nov 30

Other

OtherSIGGRAPH Asia 2017 Posters, SA 2017
CountryThailand
CityBangkok
Period17/11/2717/11/30

Keywords

  • Driving Simulator
  • Emotion
  • HCI
  • Immersive Scenarios
  • Virtual Environment

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

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    Woo, S., Hyun, D., Chang, D. S., Wallraven, C., An, D., & Dangelmaier, M. (2017). Emotion Induction in Virtual Environments: A Novel Paradigm Using Immersive Scenarios in Driving Simulators. In SIGGRAPH Asia 2017 Posters, SA 2017 [49] Association for Computing Machinery, Inc. https://doi.org/10.1145/3145690.3145693