- -

Virtual Reality as a new approach for risk taking assessment

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Compartir/Enviar a

Citas

Estadísticas

  • Estadisticas de Uso

Virtual Reality as a new approach for risk taking assessment

Mostrar el registro sencillo del ítem

Ficheros en el ítem

dc.contributor.author Juan-Ripoll, Carla De es_ES
dc.contributor.author Soler-Domínguez, J.L. es_ES
dc.contributor.author Guixeres Provinciale, J. es_ES
dc.contributor.author Contero, Manuel es_ES
dc.contributor.author Álvarez Gutiérrez, N. es_ES
dc.contributor.author Alcañiz Raya, Mariano Luis es_ES
dc.date.accessioned 2020-01-31T21:03:10Z
dc.date.available 2020-01-31T21:03:10Z
dc.date.issued 2018 es_ES
dc.identifier.uri http://hdl.handle.net/10251/136137
dc.description.abstract [EN] Understanding how people behave when facing hazardous situations, how intrinsic and extrinsic factors influence the risk taking (RT) decision making process and to what extent it is possible to modify their reactions externally, are questions that have long interested academics and society in general. In the spheres, among others, of Occupational Safety and Health (OSH), the military, finance and sociology, this topic has multidisciplinary implications because we all constantly face RT situations. Researchers have hitherto assessed RT profiles by conducting questionnaires prior to and after the presentation of stimuli; however, this can lead to the production of biased, non-realistic, RT profiles. This is due to the reflexive nature of choosing an answer in a questionnaire, which is remote from the reactive, emotional and impulsive decision making processes inherent to real, risky situations. One way to address this question is to exploit VR capabilities to generate immersive environments that recreate realistic seeming but simulated hazardous situations. We propose VR as the next-generation tool to study RT processes, taking advantage of the big four families of metrics which can provide objective assessment methods with high ecological validity: the real-world risks approach (high presence VR environments triggering real-world reactions), embodied interactions (more natural interactions eliciting more natural behaviors), stealth assessment (unnoticed real-time assessments offering efficient behavioral metrics) and physiological real-time measurement (physiological signals avoiding subjective bias). Additionally, VR can provide an invaluable tool, after the assessment phase, to train in skills related to RT due to its transferability to real-world situations. es_ES
dc.description.sponsorship This work was supported by the Spanish Ministry of Economy, Industry and Competitiveness funded projects "Advanced Therapeutic Tools for Mental Health" (DPI2016-77396-R), and "Assessment and Training on Decision Making in Risk Environments" (RTC-2017-6523-6) (MINECO/AEI/FEDER, UE). es_ES
dc.language Inglés es_ES
dc.publisher Frontiers Media SA es_ES
dc.relation.ispartof Frontiers in Psychology es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Virtual reality es_ES
dc.subject Risk taking es_ES
dc.subject Occupational risks es_ES
dc.subject Risk attitude es_ES
dc.subject Risk perception es_ES
dc.subject Stealth assessment es_ES
dc.subject Psychophysiological assessment es_ES
dc.subject Embodiment es_ES
dc.subject.classification EXPRESION GRAFICA EN LA INGENIERIA es_ES
dc.title Virtual Reality as a new approach for risk taking assessment es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3389/fpsyg.2018.02532 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//DPI2016-77396-R/ES/HERRAMIENTAS TERAPEUTICAS AVANZADAS PARA SALUD MENTAL/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//RTC-2017-6523-6/ES/ATEMIN - Evaluación y entrenamiento en toma de decisiones en entornos de riesgo./ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà es_ES
dc.description.bibliographicCitation Juan-Ripoll, CD.; Soler-Domínguez, J.; Guixeres Provinciale, J.; Contero, M.; Álvarez Gutiérrez, N.; Alcañiz Raya, ML. (2018). Virtual Reality as a new approach for risk taking assessment. Frontiers in Psychology. 9:1-8. https://doi.org/10.3389/fpsyg.2018.02532 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3389/fpsyg.2018.02532 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 8 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.identifier.eissn 1664-1078 es_ES
dc.relation.pasarela S\374117 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
dc.description.references Alcañiz, M., Rey, B., Tembl, J., & Parkhutik, V. (2009). A Neuroscience Approach to Virtual Reality Experience Using Transcranial Doppler Monitoring. Presence: Teleoperators and Virtual Environments, 18(2), 97-111. doi:10.1162/pres.18.2.97 es_ES
dc.description.references Baird, I. S., & Thomas, H. (1985). Toward a Contingency Model of Strategic Risk Taking. Academy of Management Review, 10(2), 230-243. doi:10.5465/amr.1985.4278108 es_ES
dc.description.references Barsade, S. G., Ramarajan, L., & Westen, D. (2009). Implicit affect in organizations☆. Research in Organizational Behavior, 29, 135-162. doi:10.1016/j.riob.2009.06.008 es_ES
dc.description.references Becker, W. J., Cropanzano, R., & Sanfey, A. G. (2011). Organizational Neuroscience: Taking Organizational Theory Inside the Neural Black Box. Journal of Management, 37(4), 933-961. doi:10.1177/0149206311398955 es_ES
dc.description.references Bohil, C. J., Alicea, B., & Biocca, F. A. (2011). Virtual reality in neuroscience research and therapy. Nature Reviews Neuroscience, 12(12), 752-762. doi:10.1038/nrn3122 es_ES
dc.description.references Bornovalova, M. A., Cashman-Rolls, A., O’Donnell, J. M., Ettinger, K., Richards, J. B., deWit, H., & Lejuez, C. W. (2009). Risk taking differences on a behavioral task as a function of potential reward/loss magnitude and individual differences in impulsivity and sensation seeking. Pharmacology Biochemistry and Behavior, 93(3), 258-262. doi:10.1016/j.pbb.2008.10.023 es_ES
dc.description.references Bottari, C., Dassa, C., Rainville, C., & Dutil, É. (2009). The factorial validity and internal consistency of the Instrumental Activities of Daily Living Profile in individuals with a traumatic brain injury. Neuropsychological Rehabilitation, 19(2), 177-207. doi:10.1080/09602010802188435 es_ES
dc.description.references BOYER, T. (2006). The development of risk-taking: A multi-perspective review. Developmental Review, 26(3), 291-345. doi:10.1016/j.dr.2006.05.002 es_ES
dc.description.references Byrnes, J. P., Miller, D. C., & Schafer, W. D. (1999). Gender differences in risk taking: A meta-analysis. Psychological Bulletin, 125(3), 367-383. doi:10.1037/0033-2909.125.3.367 es_ES
dc.description.references Cavalcanti, J., & Soares, M. (2012). Ergonomic analysis of safety signs: a focus of informational and cultural ergonomics. Work, 41, 3427-3432. doi:10.3233/wor-2012-0619-3427 es_ES
dc.description.references Colquitt, J. A., Scott, B. A., & LePine, J. A. (2007). Trust, trustworthiness, and trust propensity: A meta-analytic test of their unique relationships with risk taking and job performance. Journal of Applied Psychology, 92(4), 909-927. doi:10.1037/0021-9010.92.4.909 es_ES
dc.description.references Cooper, M. L., Agocha, V. B., & Sheldon, M. S. (2000). A Motivational Perspective on Risky Behaviors: The Role of Personality and Affect Regulatory Processes. Journal of Personality, 68(6), 1059-1088. doi:10.1111/1467-6494.00126 es_ES
dc.description.references Donohew, R. L., Hoyle, R. H., Clayton, R. R., Skinner, W. F., Colon, S. E., & Rice, R. E. (1999). Sensation seeking and drug use by adolescents and their friends: models for marijuana and alcohol. Journal of Studies on Alcohol, 60(5), 622-631. doi:10.15288/jsa.1999.60.622 es_ES
dc.description.references Durantin, G., Gagnon, J.-F., Tremblay, S., & Dehais, F. (2014). Using near infrared spectroscopy and heart rate variability to detect mental overload. Behavioural Brain Research, 259, 16-23. doi:10.1016/j.bbr.2013.10.042 es_ES
dc.description.references Ernst, L. H., Plichta, M. M., Lutz, E., Zesewitz, A. K., Tupak, S. V., Dresler, T., … Fallgatter, A. J. (2013). Prefrontal activation patterns of automatic and regulated approach–avoidance reactions – A functional near-infrared spectroscopy (fNIRS) study. Cortex, 49(1), 131-142. doi:10.1016/j.cortex.2011.09.013 es_ES
dc.description.references Ford, M. E., Wentzel, K. R., Wood, D., Stevens, E., & Siesfeld, G. A. (1989). Processes Associated with Integrative Social Competence. Journal of Adolescent Research, 4(4), 405-425. doi:10.1177/074355488944002 es_ES
dc.description.references Forgas, J. P. (1982). Reactions to life dilemmas: Risk taking, success and responsibility attribution. Australian Journal of Psychology, 34(1), 25-35. doi:10.1080/00049538208254714 es_ES
dc.description.references Forgas, J. P. (1995). Mood and judgment: The affect infusion model (AIM). Psychological Bulletin, 117(1), 39-66. doi:10.1037/0033-2909.117.1.39 es_ES
dc.description.references Gallagher, S. (2005). How the Body Shapes the Mind. doi:10.1093/0199271941.001.0001 es_ES
dc.description.references Gardner, M., & Steinberg, L. (2005). Peer Influence on Risk Taking, Risk Preference, and Risky Decision Making in Adolescence and Adulthood: An Experimental Study. Developmental Psychology, 41(4), 625-635. doi:10.1037/0012-1649.41.4.625 es_ES
dc.description.references George, J. M. (2009). The Illusion of Will in Organizational Behavior Research: Nonconscious Processes and Job Design. Journal of Management, 35(6), 1318-1339. doi:10.1177/0149206309346337 es_ES
dc.description.references Glöckner, A., & Herbold, A.-K. (2010). An eye-tracking study on information processing in risky decisions: Evidence for compensatory strategies based on automatic processes. Journal of Behavioral Decision Making, 24(1), 71-98. doi:10.1002/bdm.684 es_ES
dc.description.references Greene, J. D. (2009). Dual-process morality and the personal/impersonal distinction: A reply to McGuire, Langdon, Coltheart, and Mackenzie. Journal of Experimental Social Psychology, 45(3), 581-584. doi:10.1016/j.jesp.2009.01.003 es_ES
dc.description.references Greene, J. D., Morelli, S. A., Lowenberg, K., Nystrom, L. E., & Cohen, J. D. (2008). Cognitive load selectively interferes with utilitarian moral judgment. Cognition, 107(3), 1144-1154. doi:10.1016/j.cognition.2007.11.004 es_ES
dc.description.references Greene, J. D. (2001). An fMRI Investigation of Emotional Engagement in Moral Judgment. Science, 293(5537), 2105-2108. doi:10.1126/science.1062872 es_ES
dc.description.references Gullone, E., Moore, S., Moss, S., & Boyd, C. (2000). The Adolescent Risk-Taking Questionnaire. Journal of Adolescent Research, 15(2), 231-250. doi:10.1177/0743558400152003 es_ES
dc.description.references Hedberg, J., & Alexander, S. (1994). Virtual Reality in Education: Defining Researchable Issues. Educational Media International, 31(4), 214-220. doi:10.1080/0952398940310402 es_ES
dc.description.references Horvath, P., & Zuckerman, M. (1993). Sensation seeking, risk appraisal, and risky behavior. Personality and Individual Differences, 14(1), 41-52. doi:10.1016/0191-8869(93)90173-z es_ES
dc.description.references Jorgensen, P. F. (1996). Affect, persuasion, and communication processes. Handbook of Communication and Emotion, 403-422. doi:10.1016/b978-012057770-5/50017-5 es_ES
dc.description.references Kilteni, K., Groten, R., & Slater, M. (2012). The Sense of Embodiment in Virtual Reality. Presence: Teleoperators and Virtual Environments, 21(4), 373-387. doi:10.1162/pres_a_00124 es_ES
dc.description.references Kivikangas, J. M., Chanel, G., Cowley, B., Ekman, I., Salminen, M., Järvelä, S., & Ravaja, N. (2011). A review of the use of psychophysiological methods in game research. Journal of Gaming & Virtual Worlds, 3(3), 181-199. doi:10.1386/jgvw.3.3.181_1 es_ES
dc.description.references Thevenot, C., & Oakhill, J. (2008). A generalization of the representational change theory from insight to non-insight problems: The case of arithmetic word problems. Acta Psychologica, 129(3), 315-324. doi:10.1016/j.actpsy.2008.08.008 es_ES
dc.description.references Lejuez, C. W., Read, J. P., Kahler, C. W., Richards, J. B., Ramsey, S. E., Stuart, G. L., … Brown, R. A. (2002). Evaluation of a behavioral measure of risk taking: The Balloon Analogue Risk Task (BART). Journal of Experimental Psychology: Applied, 8(2), 75-84. doi:10.1037/1076-898x.8.2.75 es_ES
dc.description.references Lindgren, R., & Johnson-Glenberg, M. (2013). Emboldened by Embodiment. Educational Researcher, 42(8), 445-452. doi:10.3102/0013189x13511661 es_ES
dc.description.references MacCrimmon, K. R., & Wehrung, D. A. (1990). Characteristics of Risk Taking Executives. Management Science, 36(4), 422-435. doi:10.1287/mnsc.36.4.422 es_ES
dc.description.references Manchester, D., Priestley, N., & Jackson, H. (2004). The assessment of executive functions: coming out of the office. Brain Injury, 18(11), 1067-1081. doi:10.1080/02699050410001672387 es_ES
dc.description.references Marín-Morales, J., Higuera-Trujillo, J. L., Greco, A., Guixeres, J., Llinares, C., Scilingo, E. P., … Valenza, G. (2018). Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors. Scientific Reports, 8(1). doi:10.1038/s41598-018-32063-4 es_ES
dc.description.references Mohamed, S., Ali, T. H., & Tam, W. Y. V. (2009). National culture and safe work behaviour of construction workers in Pakistan. Safety Science, 47(1), 29-35. doi:10.1016/j.ssci.2008.01.003 es_ES
dc.description.references Motowildo, S. J., Borman, W. C., & Schmit, M. J. (1997). A Theory of Individual Differences in Task and Contextual Performance. Human Performance, 10(2), 71-83. doi:10.1207/s15327043hup1002_1 es_ES
dc.description.references Nicholson, N., Soane, E., Fenton‐O’Creevy, M., & Willman, P. (2005). Personality and domain‐specific risk taking. Journal of Risk Research, 8(2), 157-176. doi:10.1080/1366987032000123856 es_ES
dc.description.references Parker, S. K., Axtell, C. M., & Turner, N. (2001). Designing a safer workplace: Importance of job autonomy, communication quality, and supportive supervisors. Journal of Occupational Health Psychology, 6(3), 211-228. doi:10.1037/1076-8998.6.3.211 es_ES
dc.description.references Parsey, C. M., & Schmitter-Edgecombe, M. (2013). Applications of Technology in Neuropsychological Assessment. The Clinical Neuropsychologist, 27(8), 1328-1361. doi:10.1080/13854046.2013.834971 es_ES
dc.description.references Parsons, T. D. (2015). Virtual Reality for Enhanced Ecological Validity and Experimental Control in the Clinical, Affective and Social Neurosciences. Frontiers in Human Neuroscience, 9. doi:10.3389/fnhum.2015.00660 es_ES
dc.description.references Paulhus, D. L. (1991). Measurement and Control of Response Bias. Measures of Personality and Social Psychological Attitudes, 17-59. doi:10.1016/b978-0-12-590241-0.50006-x es_ES
dc.description.references Paulus, M. P., Rogalsky, C., Simmons, A., Feinstein, J. S., & Stein, M. B. (2003). Increased activation in the right insula during risk-taking decision making is related to harm avoidance and neuroticism. NeuroImage, 19(4), 1439-1448. doi:10.1016/s1053-8119(03)00251-9 es_ES
dc.description.references Piaget, J. (1952). The origins of intelligence in children. doi:10.1037/11494-000 es_ES
dc.description.references Robson, L. S., Stephenson, C. M., Schulte, P. A., Amick, B. C. I., Irvin, E. L., Eggerth, D. E., … Grubb, P. L. (2011). A systematic review of the effectiveness of occupational health and safety training. Scandinavian Journal of Work, Environment & Health, 38(3), 193-208. doi:10.5271/sjweh.3259 es_ES
dc.description.references Rundmo, T. (1996). Associations between risk perception and safety. Safety Science, 24(3), 197-209. doi:10.1016/s0925-7535(97)00038-6 es_ES
dc.description.references Schmitt, N. (1994). Method bias: The importance of theory and measurement. Journal of Organizational Behavior, 15(5), 393-398. doi:10.1002/job.4030150504 es_ES
dc.description.references Schoemaker, P. J. H. (1993). Determinants of risk-taking: Behavioral and economic views. Journal of Risk and Uncertainty, 6(1), 49-73. doi:10.1007/bf01065350 es_ES
dc.description.references Schroeter, R., Oxtoby, J., & Johnson, D. (2014). AR and Gamification Concepts to Reduce Driver Boredom and Risk Taking Behaviours. Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI ’14. doi:10.1145/2667317.2667415 es_ES
dc.description.references Seo, H.-C., Lee, Y.-S., Kim, J.-J., & Jee, N.-Y. (2015). Analyzing safety behaviors of temporary construction workers using structural equation modeling. Safety Science, 77, 160-168. doi:10.1016/j.ssci.2015.03.010 es_ES
dc.description.references Sequeira, H., Hot, P., Silvert, L., & Delplanque, S. (2009). Electrical autonomic correlates of emotion. International Journal of Psychophysiology, 71(1), 50-56. doi:10.1016/j.ijpsycho.2008.07.009 es_ES
dc.description.references SITKIN, S. B., & WEINGART, L. R. (1995). DETERMINANTS OF RISKY DECISION-MAKING BEHAVIOR: A TEST OF THE MEDIATING ROLE OF RISK PERCEPTIONS AND PROPENSITY. Academy of Management Journal, 38(6), 1573-1592. doi:10.2307/256844 es_ES
dc.description.references Skeel, R. L., Neudecker, J., Pilarski, C., & Pytlak, K. (2007). The utility of personality variables and behaviorally-based measures in the prediction of risk-taking behavior. Personality and Individual Differences, 43(1), 203-214. doi:10.1016/j.paid.2006.11.025 es_ES
dc.description.references Slater, M. (2009). Place illusion and plausibility can lead to realistic behaviour in immersive virtual environments. Philosophical Transactions of the Royal Society B: Biological Sciences, 364(1535), 3549-3557. doi:10.1098/rstb.2009.0138 es_ES
dc.description.references Sneddon, A., Mearns, K., & Flin, R. (2013). Stress, fatigue, situation awareness and safety in offshore drilling crews. Safety Science, 56, 80-88. doi:10.1016/j.ssci.2012.05.027 es_ES
dc.description.references Soler, J. L., Contero, M., & Alcañiz, M. (2017). VR Serious Game Design Based on Embodied Cognition Theory. Lecture Notes in Computer Science, 12-21. doi:10.1007/978-3-319-70111-0_2 es_ES
dc.description.references Stanford, M. S., Greve, K. W., Boudreaux, J. K., Mathias, C. W., & L. Brumbelow, J. (1996). Impulsiveness and risk-taking behavior: comparison of high-school and college students using the Barratt Impulsiveness Scale. Personality and Individual Differences, 21(6), 1073-1075. doi:10.1016/s0191-8869(96)00151-1 es_ES
dc.description.references STEINBERG, L. (2004). Risk Taking in Adolescence: What Changes, and Why? Annals of the New York Academy of Sciences, 1021(1), 51-58. doi:10.1196/annals.1308.005 es_ES
dc.description.references Tsujii, T., & Watanabe, S. (2010). Neural correlates of belief-bias reasoning under time pressure: A near-infrared spectroscopy study. NeuroImage, 50(3), 1320-1326. doi:10.1016/j.neuroimage.2010.01.026 es_ES
dc.description.references Wang, L., Shute, V., & Moore, G. R. (2015). Lessons Learned and Best Practices of Stealth Assessment. International Journal of Gaming and Computer-Mediated Simulations, 7(4), 66-87. doi:10.4018/ijgcms.2015100104 es_ES
dc.description.references White, T. L., Lejuez, C. W., & de Wit, H. (2008). Test-retest characteristics of the Balloon Analogue Risk Task (BART). Experimental and Clinical Psychopharmacology, 16(6), 565-570. doi:10.1037/a0014083 es_ES
dc.description.references Wills, T. A., Walker, C., Mendoza, D., & Ainette, M. G. (2006). Behavioral and emotional self-control: Relations to substance use in samples of middle and high school students. Psychology of Addictive Behaviors, 20(3), 265-278. doi:10.1037/0893-164x.20.3.265 es_ES
dc.description.references Wilson, M. (2002). Six views of embodied cognition. Psychonomic Bulletin & Review, 9(4), 625-636. doi:10.3758/bf03196322 es_ES
dc.description.references Yuen, K. S. ., & Lee, T. M. . (2003). Could mood state affect risk-taking decisions? Journal of Affective Disorders, 75(1), 11-18. doi:10.1016/s0165-0327(02)00022-8 es_ES


Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem