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Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats

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  • Mokas, Ilias
  • Lizin, Sebastien
  • Brijs, Tom
  • Witters, Nele
  • Malina, Robert

Abstract

Stated preference methods such as discrete choice experiments (DCEs) are used to elicit respondents' preferences and willingness to pay (WTP) for environmental goods or services whose value cannot be observed in actual markets. However, DCEs may deliver biased estimates because of respondents' unfamiliarity with the hypothetical scenarios to be valued. There is evidence that visualization techniques can enhance respondents' cognitive ability and improve the evaluation and interpretation of complex information. We leverage recent technological advances to create an immersive virtual reality environment delivered to respondents via a head-mounted display in order to conduct a split split-sample experiment on the value of urban greenery (i.e., trees, bio-retention planters) using three different presentation formats (text only; video; virtual reality). We find that (i) respondent certainty can be increased by employing more immersive visualization techniques such as virtual reality, and that (ii) the presentation format has a significant impact on WTP estimates for different types of urban green and can change respondents’ rank order for the urban green options considered in the study.

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  • Mokas, Ilias & Lizin, Sebastien & Brijs, Tom & Witters, Nele & Malina, Robert, 2021. "Can immersive virtual reality increase respondents’ certainty in discrete choice experiments? A comparison with traditional presentation formats," Journal of Environmental Economics and Management, Elsevier, vol. 109(C).
  • Handle: RePEc:eee:jeeman:v:109:y:2021:i:c:s0095069621000784
    DOI: 10.1016/j.jeem.2021.102509
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    1. Matthews, Yvonne & Scarpa, Riccardo & Marsh, Dan, 2017. "Using virtual environments to improve the realism of choice experiments: A case study about coastal erosion management," Journal of Environmental Economics and Management, Elsevier, vol. 81(C), pages 193-208.
    2. Claudia Townsend & Barbara E. Kahn, 2014. "The "Visual Preference Heuristic": The Influence of Visual versus Verbal Depiction on Assortment Processing, Perceived Variety, and Choice Overload," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(5), pages 993-1015.
    3. John M. Rose & Michiel C.J. Bliemer, 2014. "Stated choice experimental design theory: the who, the what and the why," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 7, pages 152-177, Edward Elgar Publishing.
    4. Dekker, Thijs & Hess, Stephane & Brouwer, Roy & Hofkes, Marjan, 2016. "Decision uncertainty in multi-attribute stated preference studies," Resource and Energy Economics, Elsevier, vol. 43(C), pages 57-73.
    5. Rex Labao & Herminia Francisco & Dieldre Harder & Florence Santos, 2008. "Do Colored Photographs Affect Willingness to Pay Responses for Endangered Species Conservation?," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(2), pages 251-264, June.
    6. Hess, Stephane & Train, Kenneth, 2017. "Correlation and scale in mixed logit models," Journal of choice modelling, Elsevier, vol. 23(C), pages 1-8.
    7. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    8. Campbell, Danny & Mørkbak, Morten Raun & Olsen, Søren Bøye, 2018. "The link between response time and preference, variance and processing heterogeneity in stated choice experiments," Journal of Environmental Economics and Management, Elsevier, vol. 88(C), pages 18-34.
    9. Jacinto Braga & Chris Starmer, 2005. "Preference Anomalies, Preference Elicitation and the Discovered Preference Hypothesis," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(1), pages 55-89, September.
    10. Beck, Matthew J. & Rose, John M. & Hensher, David A., 2013. "Consistently inconsistent: The role of certainty, acceptability and scale in choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 56(C), pages 81-93.
    11. Swait, Joffre & Adamowicz, Wiktor, 2001. "Choice Environment, Market Complexity, and Consumer Behavior: A Theoretical and Empirical Approach for Incorporating Decision Complexity into Models of Consumer Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 86(2), pages 141-167, November.
    12. Mohammed H Alemu & Søren B Olsen, 2018. "Can a Repeated Opt-Out Reminder mitigate hypothetical bias in discrete choice experiments? An application to consumer valuation of novel food products," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 45(5), pages 749-782.
    13. Ready Richard C. & Whitehead John C. & Blomquist Glenn C., 1995. "Contingent Valuation When Respondents Are Ambivalent," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 181-196, September.
    14. Welsh, Michael P. & Poe, Gregory L., 1998. "Elicitation Effects in Contingent Valuation: Comparisons to a Multiple Bounded Discrete Choice Approach," Journal of Environmental Economics and Management, Elsevier, vol. 36(2), pages 170-185, September.
    15. Arentze, Theo & Borgers, Aloys & Timmermans, Harry & DelMistro, Romano, 2003. "Transport stated choice responses: effects of task complexity, presentation format and literacy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(3), pages 229-244, May.
    16. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387.
    17. Li Chuan-Zhong & Mattsson Leif, 1995. "Discrete Choice under Preference Uncertainty: An Improved Structural Model for Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 256-269, March.
    18. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    19. Bliemer, Michiel C.J. & Rose, John M., 2011. "Experimental design influences on stated choice outputs: An empirical study in air travel choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(1), pages 63-79, January.
    20. Robert G. Ethier & Gregory L. Poe & William D. Schulze & Jeremy Clark, 2000. "Comparison of Hypothetical Phone and Mail Contingent Valuation Responses for Green-Pricing Electricity Programs," Land Economics, University of Wisconsin Press, vol. 76(1), pages 54-67.
    21. Rid, Wolfgang & Haider, Wolfgang & Ryffel, Andrea & Beardmore, Ben, 2018. "Visualisations in Choice Experiments: Comparing 3D Film-sequences and Still-images to Analyse Housing Development Alternatives," Ecological Economics, Elsevier, vol. 146(C), pages 203-217.
    22. Jeanloz, Sarah & Lizin, Sebastien & Beenaerts, Natalie & Brouwer, Roy & Van Passel, Steven & Witters, Nele, 2016. "Towards a more structured selection process for attributes and levels in choice experiments: A study in a Belgian protected area," Ecosystem Services, Elsevier, vol. 18(C), pages 45-57.
    23. Scarpa, Riccardo & Ruto, Eric S. K. & Kristjanson, Patti & Radeny, Maren & Drucker, Adam G. & Rege, John E. O., 2003. "Valuing indigenous cattle breeds in Kenya: an empirical comparison of stated and revealed preference value estimates," Ecological Economics, Elsevier, vol. 45(3), pages 409-426, July.
    24. Shr, Yau-Huo (Jimmy) & Ready, Richard & Orland, Brian & Echols, Stuart, 2019. "How Do Visual Representations Influence Survey Responses? Evidence from a Choice Experiment on Landscape Attributes of Green Infrastructure," Ecological Economics, Elsevier, vol. 156(C), pages 375-386.
    25. Uggeldahl, Kennet & Jacobsen, Catrine & Lundhede, Thomas Hedemark & Olsen, Søren Bøye, 2016. "Choice certainty in Discrete Choice Experiments: Will eye tracking provide useful measures?," Journal of choice modelling, Elsevier, vol. 20(C), pages 35-48.
    26. Bateman, Ian J. & Day, Brett H. & Jones, Andrew P. & Jude, Simon, 2009. "Reducing gain-loss asymmetry: A virtual reality choice experiment valuing land use change," Journal of Environmental Economics and Management, Elsevier, vol. 58(1), pages 106-118, July.
    27. Marisa J. Mazzotta & James J. Opaluch, 1995. "Decision Making When Choices Are Complex: A Test of Heiner's Hypothesis," Land Economics, University of Wisconsin Press, vol. 71(4), pages 500-515.
    28. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    29. David Revelt & Kenneth Train, 1998. "Mixed Logit With Repeated Choices: Households' Choices Of Appliance Efficiency Level," The Review of Economics and Statistics, MIT Press, vol. 80(4), pages 647-657, November.
    30. Gregory Poe & Jeremy Clark & Daniel Rondeau & William Schulze, 2002. "Provision Point Mechanisms and Field Validity Tests of Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(1), pages 105-131, September.
    31. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    32. Champ, Patricia A. & Bishop, Richard C. & Brown, Thomas C. & McCollum, Daniel W., 1997. "Using Donation Mechanisms to Value Nonuse Benefits from Public Goods," Journal of Environmental Economics and Management, Elsevier, vol. 33(2), pages 151-162, June.
    33. David A. Hensher & John M. Rose, 2012. "The Influence of Alternative Acceptability, Attribute Thresholds and Choice Response Certainty on Automobile Purchase Preferences," Journal of Transport Economics and Policy, University of Bath, vol. 46(3), pages 451-468, September.
    34. Fifer, Simon & Rose, John M., 2016. "Can you ever be certain? Reducing hypothetical bias in stated choice experiments via respondent reported choice certaintyAuthor-Name: Beck, Matthew J," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 149-167.
    35. Hess, Stephane & Palma, David, 2019. "Apollo: A flexible, powerful and customisable freeware package for choice model estimation and application," Journal of choice modelling, Elsevier, vol. 32(C), pages 1-1.
    36. Mara Thiene & Riccardo Scarpa & Jordan Louviere, 2015. "Addressing Preference Heterogeneity, Multiple Scales and Attribute Attendance with a Correlated Finite Mixing Model of Tap Water Choice," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 62(3), pages 637-656, November.
    37. Ian J. Bateman & Richard T. Carson & Brett Day & Michael Hanemann & Nick Hanley & Tannis Hett & Michael Jones-Lee & Graham Loomes, 2002. "Economic Valuation with Stated Preference Techniques," Books, Edward Elgar Publishing, number 2639.
    38. Søren Olsen & Thomas Lundhede & Jette Jacobsen & Bo Thorsen, 2011. "Tough and Easy Choices: Testing the Influence of Utility Difference on Stated Certainty-in-Choice in Choice Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(4), pages 491-510, August.
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