short-paper

FACETEQ: A novel platform for measuring emotion in VR

Authors:

E. Balaguer-Ballester,

C. NdukaAuthors Info & Claims

VRIC '17: Proceedings of the Virtual Reality International Conference - Laval Virtual 2017

Article No.: 9, Pages 1 - 3

https://doi.org/10.1145/3110292.3110302

Published: 22 March 2017 Publication History

Abstract

Faceteq prototype v.05 is a wearable technology for measuring facial expressions and biometric responses for experimental studies in Virtual Reality. Developed by Emteq Ltd laboratory, Faceteq can enable new avenues for virtual reality research through combination of high performance patented dry sensor technologies, proprietary algorithms and real-time data acquisition and streaming. Faceteq project was founded with the aim to provide a human-centred additional tool for emotion expression, affective human-computer interaction and social virtual environments. The proposed poster will exhibit the hardware and its functionality.

References

[1]

Chanel, G., Rebetez, C., Bétrancourt, M., and Pun, 2008. Boredom, engagement and anxiety as indicators for adaptation to difficulty in games. In Proceedings of the 12th international conference on Entertainment and media in the ubiquitous era (MindTrek '08), Artur Lugmayr, Frans Mäyrä, Heljä Franssila, and Katri Lietsala (Eds.). ACM, New York, NY, USA, 13--17.

Digital Library

[2]

Chen, C.N.H.C.H. and Chung, H.Y., 2004. The review of applications and measurements in facial electromyography. Journal of Medical and Biological Engineering, 25(1). 15--20.

[3]

Cohn, J. and Schmidt, K., 2004. The Timing of Facial Motion in Posed and Spontaneous Smiles, International Journal of Wavelets, Multiresolution and Information Processing, 2(2). 121--132.

[4]

Darwin, C., 1965. The expression of the emotions in man and animals (Vol. 526). University of Chicago press.

[5]

Dimberg, U., Thunberg, M., and Grunedal, S. 2002. Facial reactions to emotional stimuli: Automatically controlled emotional responses. Cognition and Emotion, 16(4). 449--471.

[6]

Duchenne, G.B. and Cuthbertson, R.A., 1990. The mechanism of human facial expression. Cambridge university press.

[7]

Ekman, P., Friesen W. V. and Ellsworth P., Emotion in the Human Face. Guidelines for Research and an Integration of Findings. In Pergamon General Psychology Series, 11. Pergamon Press, New York, 1972.

[8]

Ekman, P. and Friesen, W., Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto, 1978.

[9]

Fridlund, A.J. and Cacioppo, J.T. 1986. Guidelines for Human Electromyographic Research. Psychophysiology, 23(5). 567--589.

[10]

Durso FT, Geldbach KM, Corballis P. 2012. Detecting confusion using facial electromyography. Hum Factors. Feb;54(1). 60--9

[11]

Hazlett, R. L. and Benedek, J. 2007. Measuring emotional valence to understand the user's experience of software. International Journal of Human-Computer Studies, 65(4). 306--314.

Digital Library

[12]

Hazlett, R. L. Using Biometric Measurement to Help Develop Emotionally Compelling Games. In Isbister, K. & Schaffer, N. ed. Game Usability: Advancing the Player Experience, Morgan. Kaufmann Publishers. Burlington, MA, 2008.

[13]

Kivikangas, J.M., Chanel, G., Cowley, B., Ekman, I., Salminen, M., Järvelä, S. and Ravaja, N., 2011. A review of the use of psychophysiological methods, In Game Research. Journal of Gaming & Virtual Worlds, 3(3), pp. 181--199.

[14]

Larsen, J.T., Norris, C.J., and Cacioppo, J.T. 2003. Effects of positive and negative affect on electromyographic activity over zygomaticus major and corrugator supercilii. Psychophysiology, 40(5). 776--785.

[15]

Mandryk, R. L. Physiological Measures for Game Evaluation. In Isbister, K. and Schaffer, N. ed, Game Usability: Advancing the Player Experience, Morgan Kaufmann Publishers, Burlington, MA, 2008.

[16]

Mandryk, R. L. and Atkins, M. S. 2007. A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies. International Journal of Human-Computer Studies. 65(4). 329--347.

Digital Library

[17]

Mirza-Babaei, P., 2011, July. Biometrics to improve methodologies on understanding player's gameplay experience. In Proceedings of the 25th BCS Conference on Human-Computer Interaction, British Computer Society 546--549.

Digital Library

[18]

Tassinary, L.G., & Cacioppo, J.T. 1992. Unobservable facial actions and emotion. Psychological Sciences, 2. 28--33

Cited By

Somarathna RBednarz TMohammadi G(2023)Virtual Reality for Emotion Elicitation – A ReviewIEEE Transactions on Affective Computing10.1109/TAFFC.2022.318105314:4(2626-2645)Online publication date: 1-Oct-2023
https://doi.org/10.1109/TAFFC.2022.3181053
Zhang NWu YLi JZhang K(2023)Analyzing the Design of Online VR Platforms for Accessing Cultural Heritage Resources and Services: Multiple Case Studies in European and American CountriesDistributed, Ambient and Pervasive Interactions10.1007/978-3-031-34609-5_21(287-299)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-34609-5_21
Gnacek MBroulidakis JMavridou IFatoorechi MSeiss EKostoulas TBalaguer-Ballester EKiprijanovska IRosten CNduka C(2022)emteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual RealityFrontiers in Virtual Reality10.3389/frvir.2022.7812183Online publication date: 11-Mar-2022
https://doi.org/10.3389/frvir.2022.781218
Show More Cited By

Index Terms

FACETEQ: A novel platform for measuring emotion in VR
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Virtual reality

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VRIC '17: Proceedings of the Virtual Reality International Conference - Laval Virtual 2017

March 2017

96 pages

ISBN:9781450348584

DOI:10.1145/3110292

Copyright © 2017 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 the author(s) 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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Laval Virtual: Laval Virtual

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 March 2017

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Short-paper
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VRIC '17

VRIC '17: Virtual Reality International Conference - Laval Virtual 2017

March 22 - 24, 2017

Laval, France

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Cited By

Somarathna RBednarz TMohammadi G(2023)Virtual Reality for Emotion Elicitation – A ReviewIEEE Transactions on Affective Computing10.1109/TAFFC.2022.318105314:4(2626-2645)Online publication date: 1-Oct-2023
https://doi.org/10.1109/TAFFC.2022.3181053
Zhang NWu YLi JZhang K(2023)Analyzing the Design of Online VR Platforms for Accessing Cultural Heritage Resources and Services: Multiple Case Studies in European and American CountriesDistributed, Ambient and Pervasive Interactions10.1007/978-3-031-34609-5_21(287-299)Online publication date: 9-Jul-2023
https://doi.org/10.1007/978-3-031-34609-5_21
Gnacek MBroulidakis JMavridou IFatoorechi MSeiss EKostoulas TBalaguer-Ballester EKiprijanovska IRosten CNduka C(2022)emteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual RealityFrontiers in Virtual Reality10.3389/frvir.2022.7812183Online publication date: 11-Mar-2022
https://doi.org/10.3389/frvir.2022.781218
Chen CSun KZhang X(2021)ExGSenseProceedings of the 20th International Conference on Information Processing in Sensor Networks (co-located with CPS-IoT Week 2021)10.1145/3412382.3458268(222-237)Online publication date: 18-May-2021
https://dl.acm.org/doi/10.1145/3412382.3458268
Mitchell KKoniaris BTamariz MKennedy JCheema NMekler Evan der Linden PHerrmann EHamalainen PMcGregor ISlusallek PMac Williams C(2021)Embodied online dance learning objectives of CAROUSEL+2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW52623.2021.00062(309-313)Online publication date: Mar-2021
https://doi.org/10.1109/VRW52623.2021.00062
Kallipolitis AGalliakis MMenychtas AMaglogiannis I(2020)Affective analysis of patients in homecare video-assisted telemedicine using computational intelligenceNeural Computing and Applications10.1007/s00521-020-05203-zOnline publication date: 22-Jul-2020
https://doi.org/10.1007/s00521-020-05203-z

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