ABSTRACT
In the food industry, what makes the difference between a company and its competitors is the quality of its food product, and one of the components that makes quality is the flavor of a product. As trends shift to meet consumer's health and wellness desires formulas are changed with companies trying to retain the same flavoring. This shifting has led to the increased demand of sensory analysis tests. Some of the limitations for sensory analysis is the required space to have the individual booths, time consuming preparation, and material costs. But even with the previous limitations, one of the most important is the training of new users and calibration of existing users. With the development of virtual reality this problem can be more easily rectified by creating a virtual scenario that utilizes all senses and reduces cost of training. The main objective of this research is the development of a virtual scenario for sensory training. This is achieved by recreating a traditional testing environment and training program to analyze scents provided by a scent generator prototype. The methodology will include the design of the training, recreating the environment, programming the interaction with the user and finally the development of a scent generator to release scents.
- Stone, H, & Sidel, J. (1993) Sensory Evaluation Practices, 2nd ed. Academic Press Inc., San Diego, CA.Google Scholar
- IFT (Institute of Food Technologists) (2007) Sensory Evaluation Methods. The Society for the Food Technologists, Chicago, IL.Google Scholar
- Meilgaard, M., Vance, G., & Thomas, B. (1999). Sensory Attributes and the Way We Perceive Them. In: Sensory Evaluation Techniques, 3rd Edition. CRC Press (Eds) Chapter 2.Google ScholarCross Ref
- Alaoui-Ismaili, O., Vernet-Maury, E., Dittmar, A., Delhomme, G., & Chanel, J. (1997). Odor hedonics: Connection with emotional response estimated by automatic parameters, Chemical Senses, 223, pp. 237--248.Google ScholarCross Ref
- Narumi, T., Nishizaka, S., Kajinami, T., Tanikawa, T. & Hirose, M. (2011). Meta Cookie +: An Illusion-Based Gustatory Display, Virtual and Mixed Reality, pp. 260--269.Google Scholar
- Alaraj, A., Lemole, M.G., Finkle, J.H., Yudkowsky, R., Wallace, A., Luciano, C., Banerjee, P., Rizzi, S., & Charbel, F. (2011). Virtual reality training in neurosurgery: Review of current status and future applications. Surg Neurol Int. pp. 2--52.Google Scholar
- Zaho, Z.X. (2002). Virtual reality technology: an overview. J. Southeast Univ. 32 (2), pp. 1--10Google Scholar
- Sherman, W.R., & Craig, A.B. (2003). Understanding Virtual Reality: Interface, Application, and Design, First ed. Morgan Kaufmann Publishers.Google Scholar
- de Wijk, Kooijman, V., Verhoeven, R.H.G., Holthuysen, N.T.E. & de Graaf, C. (2012) Autonomic nervous system responses on and facial expressions to the sight, smell, and taste of liked and disliked foods. Food Quality and Preference, 26, pp. 196--203.Google ScholarCross Ref
- Crofton, E.C., Botinestean, C., Fenelon, M., & Gallagher, E. (2019) Potential applications for virtual and augmented reality technologies in sensory science. Innovate Food Science and Emerging Technologies, 56, pp. 1--9.Google Scholar
- Xu, Y., Hamid, N., Shepherd, D., Kantono, K., & Spence, C. (2019) Changes in flavor, emotion, and electrophysiological measurements when consuming chocolate ice cream in different eating environments. Food Quality and Preference. 77, pp: 191--205.Google Scholar
- Meiselman, H.L., Johnson, J.L., Reeve, W., & Crouch, J.E. (2000) Demonstrations on the influence of the eating environment in food acceptance. Appetite, 35 (3), pp. 231--237.Google ScholarCross Ref
- Garcia-Segovia, P., Harrington, R.J., & Seo, H.S. (2015) Influences of table setting and eating location on food acceptance and intake. Food Quality and Preference, 39, 1--7.Google ScholarCross Ref
- Krishna, A. An integrative review of sensory marketing: Engaging the sense to affect perception, judgment and behavior. Journal of Consumer Psychology, 22, 2012, 332--351.Google Scholar
- Dalton, P., Doolittle, M., & Breslin, PA. (2002) Gender-specific induction of enhanced sensitivity to odors. Nat. Neurosci. 5: 3, pp. 199--200.Google ScholarCross Ref
- [16] Kenedy, O., Stewart-Knox, B., Mitchell, P., & Thutnham, D. (2004) The influence of context upon consumer sensory evaluation of chicken-meat quality. British Food Journal, 106 (3), pp. 158--165.Google ScholarCross Ref
- Carulli, M., Bordegoni, M., Cugini, U. (2016) Integrating Scents Simulation in Virtual Reality Multisensory Environment fro Industrial Products Evaluation, Computer-aided design & applications, 13 (3) pp. 320--328.Google Scholar
- Amores, J., and Maes, P. (2017) Essence: Olfactory Interfaces for Unconscious Influence of Mood and Cognitive Performance, in Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, New York, NY. Pp: 28--34.Google ScholarDigital Library
- Yamada, T., Yokoyama, S., Tanikawa, T., Koichi, H., & Hirose, M. (2006) Wearable Olfactory Display: Using Odor in Outdoor Environment in Proceedings of the IEEE Virtual Reality Conference (VR'06). March 25-29 (Alexandria, VA).Google Scholar
- Nakamoto, T. (2013). Human Olfactory Displays and Interfaces: Odor Sensing and Presentation, Information Science referenceGoogle ScholarCross Ref
- Risso, P., Covarrubias, M., Bordegoni, M., Gallace, A. (2018) Development and Testing of a Small-Size Olfactometer for the Perception of Food and Beverages in Humans. Front. Digit. Humanit. 5:7, pp. 1--13.Google Scholar
Index Terms
- Design of A Virtual Reality Scenario and Scent Generator for Sensory Training
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