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

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Virtual Reality and Augmented Reality (EuroVR 2019)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11883))

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Abstract

Immersive 360° VR systems are increasingly used in entertainment, marketing and design and development processes. Many of these applications involve emotional experiences. Since momentary emotions significantly determine a user’s response and decisions, it is essential to understand the influence of media content and technological factors on the user’s emotional response. To measure the emotional responses to immersive VR experiences, efficient and validated instruments are required. Most tools currently used to measure the emotional response of users compromise the immersive experience since they are cognitively demanding, time consuming, and their application requires the user to leave the VR. We investigated the validity of an immersive, efficient and intuitive EmojiGrid graphical self-report tool for the assessment of emotions evoked by 360º VR videos. Using the EmojiGrid, 40 participants rated 62 360º VR videos from a validated public database. The resulting mean valence and arousal values agree with the corresponding values provided with the database (obtained with an alternative validated rating tool). We conclude that the EmojiGrid is a valid self-report tool for the assessment of VR-evoked emotions.

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Authors and Affiliations

  1. TNO Human Factors, Soesterberg, The Netherlands

    Alexander Toet, Fabienne Heijn, Anne-Marie Brouwer, Tina Mioch & Jan B. F. van Erp

  2. University of Utrecht, Utrecht, The Netherlands

    Fabienne Heijn

  3. University of Twente, Enschede, The Netherlands

    Jan B. F. van Erp

Authors
  1. Alexander Toet
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  2. Fabienne Heijn
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  3. Anne-Marie Brouwer
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  4. Tina Mioch
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  5. Jan B. F. van Erp
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Corresponding author

Correspondence to Alexander Toet .

Editor information

Editors and Affiliations

  1. LIMSI-CNRS, University of Paris-Sud, Orsay, France

    Patrick Bourdot

  2. University of Minnesota, Minneapolis, MN, USA

    Victoria Interrante

  3. Federal University of Rio Grande do Sul, Porto Alegre, Brazil

    Luciana Nedel

  4. University of Geneva, Geneva, Switzerland

    Nadia Magnenat-Thalmann

  5. University of Bremen, Bremen, Germany

    Gabriel Zachmann

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Toet, A., Heijn, F., Brouwer, AM., Mioch, T., van Erp, J.B.F. (2019). The EmojiGrid as an Immersive Self-report Tool for the Affective Assessment of 360 VR Videos. In: Bourdot, P., Interrante, V., Nedel, L., Magnenat-Thalmann, N., Zachmann, G. (eds) Virtual Reality and Augmented Reality. EuroVR 2019. Lecture Notes in Computer Science(), vol 11883. Springer, Cham. https://doi.org/10.1007/978-3-030-31908-3_24

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  • DOI: https://doi.org/10.1007/978-3-030-31908-3_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-31907-6

  • Online ISBN: 978-3-030-31908-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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