Cited by 14Virtual Reality Applications and ImpactsEmotion and Mood RecognitionInnovative Human-Technology Interaction

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The EmojiGrid as an Immersive Self-report Tool for the Affective Assessment of 360 VR Videos

Toet, Alexander, Heijn, Fabienne, Brouwer, Anne-Marie, Mioch, Tina, van Erp, Jan B. F.·2019·Lecture Notes in Computer Science

Overview

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Crossref · 10.1007/978-3-030-31908-3_24

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  • The integrated phobia psychometric questionnaires provide an objective progress overview via the Visual Height Intolerance questionnaire and allow reporting emotional impact via EmojiGrid.

    “This novel approach empowers users during their gamified therapeutic journey by providing an objective progress overview based on scoring using an auto-administered Visual Height Intolerance psychometric [101] questionnaire while also offering the possibility to report the emotional impact of exposure using the EmojiGrid embedding [102].”

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References 15 · Cited by 14

Research works printed but not linked: 1

  1. Lang, P.J.: Behavioral treatment and bio-behavioral assessment: computer applications. In: Sidowski, J.B., Johnson, J.H., Williams, T.A. (eds.) Technology in Mental Health Care Delivery Systems, pp. 119–137. Ablex Publishing Corporation, Norwood, USA (1980)

Metadata

Authors
Toet, A., Heijn, F., Brouwer, A.-M., Mioch, T., & van Erp, J. B. F.
Affiliations
Netherlands Organisation for Applied Scientific Research (NL)
Corresponding author
Toet, Alexander
Venue
Lecture Notes in Computer Science
Published
2019
Pages
330-335
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2977930554
Cited by
14
References
15
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 2 · 2020: 5
FWCI
1.62
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • University of Twente Research Information (publishedVersion)
  • TNO Repository (submittedVersion)
  • Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • University of Twente Research Information (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Virtual Reality Applications and Impacts
  • Physical Sciences › Computer Science › Artificial Intelligence › Emotion and Mood Recognition
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
emotion measurement, valence and arousal, affective computing, assessment validity

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