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research-article

Applying Self-Assessment Manikin (SAM) to Evaluate the Affective Arousal Effects of VR Games

Authors:

Zhigeng PanAuthors Info & Claims

ICIGP '20: Proceedings of the 2020 3rd International Conference on Image and Graphics Processing

Pages 134 - 138

https://doi.org/10.1145/3383812.3383844

Published: 25 March 2020 Publication History

Abstract

There are necessary procedures that apply self-assessment to evaluate subjects' emotions in the traditional affective stimulation systems. This paper describes a new attempt to use some of the VR games as emotional materials to arouse basic emotions and evaluate the affective arousal effects with Self-Assessment Manikin (SAM). This provides an objective and active way to stimulate emotions (e.g. happiness, sadness, fear, relaxation, disgust, and rage) when players are immersed in VR games. In our study, we standardized the VR games for affective materials according to the picture, video, and audio in the traditional affective stimulation systems as references, and employed SAM to verify the validity of the Mehrabian emotion model. This is the first time an active approach has been used to evoke emotions through VR games, which serves as an alternative between cognitive psychology and computer science.

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Cited By

Iriarte NEzcurdia IElizondo SIrisarri JHemmerling DOrtiz AMarzo A(2024)Contactless Electrostatic Piloerection for Haptic SensationsIEEE Transactions on Haptics10.1109/TOH.2023.326988517:2(140-151)Online publication date: Apr-2024
https://doi.org/10.1109/TOH.2023.3269885
Si XHuang HYu JMing D(2024)EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human EmotionsIEEE Transactions on Affective Computing10.1109/TAFFC.2024.339972915:4(2128-2138)Online publication date: Oct-2024
https://doi.org/10.1109/TAFFC.2024.3399729
Vatsal RMishra SThareja RChakrabarty MSharma OShukla J(2024)An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen GamingIEEE Transactions on Affective Computing10.1109/TAFFC.2024.336870315:3(1696-1710)Online publication date: Jul-2024
https://doi.org/10.1109/TAFFC.2024.3368703
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Index Terms

Applying Self-Assessment Manikin (SAM) to Evaluate the Affective Arousal Effects of VR Games
1. General and reference
  1. Cross-computing tools and techniques
    1. Evaluation

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cover image ACM Other conferences

ICIGP '20: Proceedings of the 2020 3rd International Conference on Image and Graphics Processing

February 2020

172 pages

ISBN:9781450377201

DOI:10.1145/3383812

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Nanyang Technological University
UNIBO: University of Bologna

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Association for Computing Machinery

New York, NY, United States

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Published: 25 March 2020

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ICIGP 2020

ICIGP 2020: 2020 3rd International Conference on Image and Graphics Processing

February 8 - 10, 2020

Singapore, Singapore

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Cited By

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https://doi.org/10.1109/TOH.2023.3269885
Si XHuang HYu JMing D(2024)EEG Microstates and fNIRS Metrics Reveal the Spatiotemporal Joint Neural Processing Features of Human EmotionsIEEE Transactions on Affective Computing10.1109/TAFFC.2024.339972915:4(2128-2138)Online publication date: Oct-2024
https://doi.org/10.1109/TAFFC.2024.3399729
Vatsal RMishra SThareja RChakrabarty MSharma OShukla J(2024)An Analysis of Physiological and Psychological Responses in Virtual Reality and Flat Screen GamingIEEE Transactions on Affective Computing10.1109/TAFFC.2024.336870315:3(1696-1710)Online publication date: Jul-2024
https://doi.org/10.1109/TAFFC.2024.3368703
Liao YGao YWang FXu ZWu YZhang L(2024)Exploring emotional experiences and dataset construction in the era of short videos based on physiological signalsBiomedical Signal Processing and Control10.1016/j.bspc.2024.10664896(106648)Online publication date: Oct-2024
https://doi.org/10.1016/j.bspc.2024.106648
Barcelo LBairan CSemillano RMedrano RSolomon AOlipas CCochanco RCochanco A(2023)CLAYmb: The Development and Assessment of an Interactive Learning Application for Pottery MakingEuropean Journal of Theoretical and Applied Sciences10.59324/ejtas.2023.1(4).011:4(3-14)Online publication date: 5-Jul-2023
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Si XHe HYu JMing D(2023)Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNetCyborg and Bionic Systems10.34133/cbsystems.00454Online publication date: Jan-2023
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Mengelkoch SMoriarity DNovak ASnyder MSlavich GLev-Ari S(2023)Using Ecological Momentary Assessments to Study How Daily Fluctuations in Psychological States Impact Stress, Well-Being, and HealthJournal of Clinical Medicine10.3390/jcm1301002413:1(24)Online publication date: 19-Dec-2023
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Baradaran FFarzan ADanishvar SSheykhivand S(2023)Automatic Emotion Recognition from EEG Signals Using a Combination of Type-2 Fuzzy and Deep Convolutional NetworksElectronics10.3390/electronics1210221612:10(2216)Online publication date: 12-May-2023
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Ortiz AElizondo S(2023)Design of an Immersive Virtual Reality Framework to Enhance the Sense of Agency Using Affective Computing TechnologiesApplied Sciences10.3390/app13241332213:24(13322)Online publication date: 17-Dec-2023
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Ortmann T(2023)Towards Facial Expression Recognition in Immersive Virtual Reality with EmojiRain2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)10.1109/ACIIW59127.2023.10388094(1-5)Online publication date: 10-Sep-2023
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