Emotional Drive - Wearing your heart on your car

George Moore

Emotional Drive - Wearing your heart on your car

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

Abstract

It is postulated that in the near future cars could detect and publicly display their drivers’ emotions in real-time, by making use of an ‘Affect Engine’ along with colour changing paint. Moreover, using an implicit human-in-the-loop approach, and emerging communications standards, drivers perceptions and emotional responses could form an integral part of wider affect-based ad hoc vehicle-to-vehicle networks. Allowing participate in social emotional displays that interact with transport infrastructure to help to advantage, and so encourage, positive emotional states and interactions.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	British Computer Society
Number of pages	4
Publication status	Accepted/In press - 4 May 2017
Event	British HCI Conference 2017 - Sunderland, United Kingdom Duration: 4 May 2017 → …

Conference

Conference	British HCI Conference 2017
Period	4/05/17 → …

Bibliographical note

Reference text: Affectiva. (2017) 20 Awesome Emotion-Enabled Campaign Ideas. Affectiva, Boston, USA.

Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R. and Lopez, M.E. (2006) Real-time system for monitoring driver vigilance. IEEE Transactions on Intelligent Transportation Systems, 7, 1, pp.63-77.

Bleecker, J. (2009) Design fiction. A short essay on design, science, fact and fiction. Near Future Laboratory.

Dunne, A., and Raby, F. (2013) Speculative everything: design, fiction, and social dreaming. MIT Press. Cambridge, Massachusetts.

Gordon, M.S., Kozloski, J.R., Kundu, A., Malkin, P.K. and Pickover, C.A., International Business Machines Corporation. (2015) Controlling Driving Modes of Self-Driving Vehicles. U.S. Patent Application 14/820,620.

Honda. (2017) Honda Introduces “Cooperative Mobility Ecosystem” at CES 2017. http://world.honda.com/news/2017/c170106eng.html (retrieved 29/03/2017).

Hupka, R.B., Zaleski, Z., Otto, J., Reidl, L. and Tarabrina, N.V. (1997) The colors of anger, envy, fear, and jealousy: A cross-cultural study. Journal of cross-cultural psychology, 28, 2, pp.156-171.

Hyundai. (2017) House of Hyundai, The Sensory Journey, Driving Emotion Test. http://houseofhyundai.com/driver-emotion-test/ (retrieved 29/03/2017)

IEEE 1609.0.2013 (2013) IEEE Guide for Wireless Access in Vehicular Environments (WAVE) - Architecture. IEEE, USA.

Ji, Q., Zhu, Z. and Lan, P. (2004). Real-time nonintrusive monitoring and prediction of driver fatigue. IEEE transactions on vehicular technology, 53, 4, pp.1052-1068.

Lexus. (2015) The world's first car with a heartbeat. https://www.lexus.com.au/brand/heartbeat?category=ALL (retrieved 29/03/2017).

Llewellynn, T., and Sorci, M. (2011) Method and System for Assessing and Measuring Emotional Intensity to a Stimulus. U.S. Patent Application No. N13/082,758

McDuff, D., Mahmoud, A., Mavadati, M., Amr, M., Turcot, J., and El Kaliouby, R. (2016) AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit. CHI 2016, San Jose, USA, 7-12 May 2016, pp. 3723-3726. ACM, New Your, USA.

Microsoft. (2017) Microsoft Cognitive Services - Emotion API. Microsoft Cognitive Services. https://www.microsoft.com/cognitive-services/en-us/emotion-api (retrieved 29/03/201716, 2017).

Peugeot. (2012) Peugeot RCZ | Mood Paint Demonstration. https://www.youtube.com/watch?v=xP5_5RDKxOY&list=PLMVGjQva5U4XCqZxWGnXothtc2fKT6H2j&index=3 (retrieved 29/03/2017).

Picard, R. (1997) Affective Computing. MIT Press. Cambridge, Massachusetts.

Plutchik, R. (2001) The Nature of Emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American Scientist, 89, 4, pp. 344-350.

Price, E., Moore, G., Galway, L., and Linden, M. (2017) Validation of a smartphone based approach to in-situ cognitive fatigue assessment. JMIR mHealth and uHealth (forthcoming).

Terada, K., Yamauchi, A. and Ito, A. (2012) Artificial emotion expression for a robot by dynamic color change. 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. Paris, France, 9-12 September 2012, pp. 314-321, IEEE.

Keywords

Affective Computing
Human Computer Interaction (HCI)
Pervasive Computing
Future and Emerging Technology
Ethics
Society
Design Fiction
Speculative Design.

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@inproceedings{48cf85ffcefc443fa09b528a41e2d697,

title = "Emotional Drive - Wearing your heart on your car",

abstract = "It is postulated that in the near future cars could detect and publicly display their drivers{\textquoteright} emotions in real-time, by making use of an {\textquoteleft}Affect Engine{\textquoteright} along with colour changing paint. Moreover, using an implicit human-in-the-loop approach, and emerging communications standards, drivers perceptions and emotional responses could form an integral part of wider affect-based ad hoc vehicle-to-vehicle networks. Allowing participate in social emotional displays that interact with transport infrastructure to help to advantage, and so encourage, positive emotional states and interactions.",

keywords = "Affective Computing, Human Computer Interaction (HCI), Pervasive Computing, Future and Emerging Technology, Ethics, Society, Design Fiction, Speculative Design.",

author = "George Moore",

note = "Reference text: Affectiva. (2017) 20 Awesome Emotion-Enabled Campaign Ideas. Affectiva, Boston, USA. Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R. and Lopez, M.E. (2006) Real-time system for monitoring driver vigilance. IEEE Transactions on Intelligent Transportation Systems, 7, 1, pp.63-77. Bleecker, J. (2009) Design fiction. A short essay on design, science, fact and fiction. Near Future Laboratory. Dunne, A., and Raby, F. (2013) Speculative everything: design, fiction, and social dreaming. MIT Press. Cambridge, Massachusetts. Gordon, M.S., Kozloski, J.R., Kundu, A., Malkin, P.K. and Pickover, C.A., International Business Machines Corporation. (2015) Controlling Driving Modes of Self-Driving Vehicles. U.S. Patent Application 14/820,620. Honda. (2017) Honda Introduces “Cooperative Mobility Ecosystem” at CES 2017. http://world.honda.com/news/2017/c170106eng.html (retrieved 29/03/2017). Hupka, R.B., Zaleski, Z., Otto, J., Reidl, L. and Tarabrina, N.V. (1997) The colors of anger, envy, fear, and jealousy: A cross-cultural study. Journal of cross-cultural psychology, 28, 2, pp.156-171. Hyundai. (2017) House of Hyundai, The Sensory Journey, Driving Emotion Test. http://houseofhyundai.com/driver-emotion-test/ (retrieved 29/03/2017) IEEE 1609.0.2013 (2013) IEEE Guide for Wireless Access in Vehicular Environments (WAVE) - Architecture. IEEE, USA. Ji, Q., Zhu, Z. and Lan, P. (2004). Real-time nonintrusive monitoring and prediction of driver fatigue. IEEE transactions on vehicular technology, 53, 4, pp.1052-1068. Lexus. (2015) The world's first car with a heartbeat. https://www.lexus.com.au/brand/heartbeat?category=ALL (retrieved 29/03/2017). Llewellynn, T., and Sorci, M. (2011) Method and System for Assessing and Measuring Emotional Intensity to a Stimulus. U.S. Patent Application No. N13/082,758 McDuff, D., Mahmoud, A., Mavadati, M., Amr, M., Turcot, J., and El Kaliouby, R. (2016) AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit. CHI 2016, San Jose, USA, 7-12 May 2016, pp. 3723-3726. ACM, New Your, USA. Microsoft. (2017) Microsoft Cognitive Services - Emotion API. Microsoft Cognitive Services. https://www.microsoft.com/cognitive-services/en-us/emotion-api (retrieved 29/03/201716, 2017). Peugeot. (2012) Peugeot RCZ | Mood Paint Demonstration. https://www.youtube.com/watch?v=xP5_5RDKxOY&list=PLMVGjQva5U4XCqZxWGnXothtc2fKT6H2j&index=3 (retrieved 29/03/2017). Picard, R. (1997) Affective Computing. MIT Press. Cambridge, Massachusetts. Plutchik, R. (2001) The Nature of Emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American Scientist, 89, 4, pp. 344-350. Price, E., Moore, G., Galway, L., and Linden, M. (2017) Validation of a smartphone based approach to in-situ cognitive fatigue assessment. JMIR mHealth and uHealth (forthcoming). Terada, K., Yamauchi, A. and Ito, A. (2012) Artificial emotion expression for a robot by dynamic color change. 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. Paris, France, 9-12 September 2012, pp. 314-321, IEEE.; British HCI Conference 2017 ; Conference date: 04-05-2017",

year = "2017",

month = may,

day = "4",

language = "English",

booktitle = "Unknown Host Publication",

publisher = "British Computer Society",

address = "United Kingdom",

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TY - GEN

T1 - Emotional Drive - Wearing your heart on your car

AU - Moore, George

N1 - Reference text: Affectiva. (2017) 20 Awesome Emotion-Enabled Campaign Ideas. Affectiva, Boston, USA. Bergasa, L.M., Nuevo, J., Sotelo, M.A., Barea, R. and Lopez, M.E. (2006) Real-time system for monitoring driver vigilance. IEEE Transactions on Intelligent Transportation Systems, 7, 1, pp.63-77. Bleecker, J. (2009) Design fiction. A short essay on design, science, fact and fiction. Near Future Laboratory. Dunne, A., and Raby, F. (2013) Speculative everything: design, fiction, and social dreaming. MIT Press. Cambridge, Massachusetts. Gordon, M.S., Kozloski, J.R., Kundu, A., Malkin, P.K. and Pickover, C.A., International Business Machines Corporation. (2015) Controlling Driving Modes of Self-Driving Vehicles. U.S. Patent Application 14/820,620. Honda. (2017) Honda Introduces “Cooperative Mobility Ecosystem” at CES 2017. http://world.honda.com/news/2017/c170106eng.html (retrieved 29/03/2017). Hupka, R.B., Zaleski, Z., Otto, J., Reidl, L. and Tarabrina, N.V. (1997) The colors of anger, envy, fear, and jealousy: A cross-cultural study. Journal of cross-cultural psychology, 28, 2, pp.156-171. Hyundai. (2017) House of Hyundai, The Sensory Journey, Driving Emotion Test. http://houseofhyundai.com/driver-emotion-test/ (retrieved 29/03/2017) IEEE 1609.0.2013 (2013) IEEE Guide for Wireless Access in Vehicular Environments (WAVE) - Architecture. IEEE, USA. Ji, Q., Zhu, Z. and Lan, P. (2004). Real-time nonintrusive monitoring and prediction of driver fatigue. IEEE transactions on vehicular technology, 53, 4, pp.1052-1068. Lexus. (2015) The world's first car with a heartbeat. https://www.lexus.com.au/brand/heartbeat?category=ALL (retrieved 29/03/2017). Llewellynn, T., and Sorci, M. (2011) Method and System for Assessing and Measuring Emotional Intensity to a Stimulus. U.S. Patent Application No. N13/082,758 McDuff, D., Mahmoud, A., Mavadati, M., Amr, M., Turcot, J., and El Kaliouby, R. (2016) AFFDEX SDK: A Cross-Platform Real-Time Multi-Face Expression Recognition Toolkit. CHI 2016, San Jose, USA, 7-12 May 2016, pp. 3723-3726. ACM, New Your, USA. Microsoft. (2017) Microsoft Cognitive Services - Emotion API. Microsoft Cognitive Services. https://www.microsoft.com/cognitive-services/en-us/emotion-api (retrieved 29/03/201716, 2017). Peugeot. (2012) Peugeot RCZ | Mood Paint Demonstration. https://www.youtube.com/watch?v=xP5_5RDKxOY&list=PLMVGjQva5U4XCqZxWGnXothtc2fKT6H2j&index=3 (retrieved 29/03/2017). Picard, R. (1997) Affective Computing. MIT Press. Cambridge, Massachusetts. Plutchik, R. (2001) The Nature of Emotions: Human emotions have deep evolutionary roots, a fact that may explain their complexity and provide tools for clinical practice. American Scientist, 89, 4, pp. 344-350. Price, E., Moore, G., Galway, L., and Linden, M. (2017) Validation of a smartphone based approach to in-situ cognitive fatigue assessment. JMIR mHealth and uHealth (forthcoming). Terada, K., Yamauchi, A. and Ito, A. (2012) Artificial emotion expression for a robot by dynamic color change. 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication. Paris, France, 9-12 September 2012, pp. 314-321, IEEE.

PY - 2017/5/4

Y1 - 2017/5/4

N2 - It is postulated that in the near future cars could detect and publicly display their drivers’ emotions in real-time, by making use of an ‘Affect Engine’ along with colour changing paint. Moreover, using an implicit human-in-the-loop approach, and emerging communications standards, drivers perceptions and emotional responses could form an integral part of wider affect-based ad hoc vehicle-to-vehicle networks. Allowing participate in social emotional displays that interact with transport infrastructure to help to advantage, and so encourage, positive emotional states and interactions.

AB - It is postulated that in the near future cars could detect and publicly display their drivers’ emotions in real-time, by making use of an ‘Affect Engine’ along with colour changing paint. Moreover, using an implicit human-in-the-loop approach, and emerging communications standards, drivers perceptions and emotional responses could form an integral part of wider affect-based ad hoc vehicle-to-vehicle networks. Allowing participate in social emotional displays that interact with transport infrastructure to help to advantage, and so encourage, positive emotional states and interactions.

KW - Affective Computing

KW - Human Computer Interaction (HCI)

KW - Pervasive Computing

KW - Future and Emerging Technology

KW - Ethics

KW - Society

KW - Design Fiction

KW - Speculative Design.

M3 - Conference contribution

BT - Unknown Host Publication

PB - British Computer Society

T2 - British HCI Conference 2017

Y2 - 4 May 2017

ER -

Emotional Drive - Wearing your heart on your car

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this