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

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

doi:10.1007/978-3-030-31908-3_24

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

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

^*Corresponding author for this work

Human Media Interaction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

12 Citations (Scopus)

17 Downloads (Pure)

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.

Original language	English
Title of host publication	Virtual Reality and Augmented Reality
Subtitle of host publication	16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings
Editors	Patrick Bourdot, Victoria Interrante, Luciana Nedel, Nadia Magnenat-Thalmann, Gabriel Zachmann
Place of Publication	Cham
Publisher	Springer
Pages	330-335
Number of pages	6
ISBN (Electronic)	978-3-030-31908-3
ISBN (Print)	978-3-030-31907-6
DOIs	https://doi.org/10.1007/978-3-030-31908-3_24
Publication status	Published - 1 Jan 2019
Event	16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019 - Tallinn, Estonia Duration: 23 Oct 2019 → 25 Oct 2019 Conference number: 16 https://eurovr2019.eu/

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer
Volume	11883
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019
Abbreviated title	EuroVR 2019
Country/Territory	Estonia
City	Tallinn
Period	23/10/19 → 25/10/19
Internet address	https://eurovr2019.eu/

Keywords

360º VR
Arousal
EmojiGrid
Emotions
Valence

Access to Document

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

Cite this

Toet, A., Heijn, F., Brouwer, A.-M., 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 P. Bourdot, V. Interrante, L. Nedel, N. Magnenat-Thalmann, & G. Zachmann (Eds.), Virtual Reality and Augmented Reality: 16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings (pp. 330-335). (Lecture Notes in Computer Science; Vol. 11883). Springer. https://doi.org/10.1007/978-3-030-31908-3_24

Toet, Alexander ; Heijn, Fabienne ; Brouwer, Anne-Marie et al. / The EmojiGrid as an Immersive Self-report Tool for the Affective Assessment of 360 VR Videos. Virtual Reality and Augmented Reality: 16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings. editor / Patrick Bourdot ; Victoria Interrante ; Luciana Nedel ; Nadia Magnenat-Thalmann ; Gabriel Zachmann. Cham : Springer, 2019. pp. 330-335 (Lecture Notes in Computer Science).

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

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{\textquoteright}s response and decisions, it is essential to understand the influence of media content and technological factors on the user{\textquoteright}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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author = "Alexander Toet and Fabienne Heijn and Anne-Marie Brouwer and Tina Mioch and {van Erp}, {Jan B.F.}",

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doi = "10.1007/978-3-030-31908-3_24",

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Toet, A, Heijn, F, Brouwer, A-M, Mioch, T & van Erp, JBF 2019, The EmojiGrid as an Immersive Self-report Tool for the Affective Assessment of 360 VR Videos. in P Bourdot, V Interrante, L Nedel, N Magnenat-Thalmann & G Zachmann (eds), Virtual Reality and Augmented Reality: 16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings. Lecture Notes in Computer Science, vol. 11883, Springer, Cham, pp. 330-335, 16th International Conference on Virtual Reality and Augmented Reality, EuroVR 2019, Tallinn, Estonia, 23/10/19. https://doi.org/10.1007/978-3-030-31908-3_24

The EmojiGrid as an Immersive Self-report Tool for the Affective Assessment of 360 VR Videos. / Toet, Alexander; Heijn, Fabienne; Brouwer, Anne-Marie et al.
Virtual Reality and Augmented Reality: 16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings. ed. / Patrick Bourdot; Victoria Interrante; Luciana Nedel; Nadia Magnenat-Thalmann; Gabriel Zachmann. Cham: Springer, 2019. p. 330-335 (Lecture Notes in Computer Science; Vol. 11883).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Toet, Alexander

AU - Heijn, Fabienne

AU - Brouwer, Anne-Marie

AU - Mioch, Tina

AU - van Erp, Jan B.F.

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AB - 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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Toet A, Heijn F, Brouwer AM, Mioch T, van Erp JBF. 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, editors, Virtual Reality and Augmented Reality: 16th EuroVR International Conference, EuroVR 2019, Tallinn, Estonia, October 23–25, 2019, Proceedings. Cham: Springer. 2019. p. 330-335. (Lecture Notes in Computer Science). doi: 10.1007/978-3-030-31908-3_24

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

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