Smell-e Technology: Validating immersive multisensory VR food environments to study food choice

DOI

The key objective of the research was to empirically examine the validity of immersive multisensory VR (food) environments for modeling real-world food cue responses [FCR]. We conducted a lab-based "proof-of-principle" study to systematically compare individuals’ FCRs (i.e., self-reported craving and salivation levels) between a unisensory (vision only) VR environment, multisensory (vision + olfaction) VR environment, and a comparable real-life setting. Furthermore, we investigated possible mechanisms (i.e., presence) underlying FCR-enhancing effects of a multisensory VR environment.

Research Questions:

To what extent do individuals’ psychological (i.e., subjective craving) and physiological (i.e., salivary volume) responses to food cues (versus non-food cues) differ between a unisensory (vision only) VR environment versus a multisensory (vision + olfaction) VR environment versus a comparable real-life setting? What mechanisms underlie (indirect) FCR-enhancing effects of the multisensory VR environment?

This lab-based study had a within-subjects cue exposure paradigm with a 2 (Stimuli Type: Non-food vs Food) by 3 (Exposure Mode: Unisensory VR vs Multisensory VR vs Real-life) factorial design. In total, there were 6 experimental conditions. Participants attended one screening session (~10 minutes) and one lab-based test session (~45 minutes) at the university, consisting of the six experimental conditions in a (pseudo)randomized order. During the test session, participants performed a cue exposure task in both virtual and real-life conditions, and answered a series of questionnaires.

Data files:

SMELLETECHNOLOGY_Dataset_FINAL– cleaned dataset for all participants in all experimental conditions CodingScheme_AdditionalExplanation_Dataset – additional explanation for some variable labels and values in the final dataset The following are raw data files (Excel/csv) from the Qualtrics questionnaires during lab test sessions, grouped per randomization order: RAOrder_1_QualtricsSurvey RAOrder_2_QualtricsSurvey RAOrder_3_QualtricsSurvey RAOrder_4_QualtricsSurvey RAOrder_5_QualtricsSurvey RAOrder_6_QualtricsSurvey The following are raw data files (Excel/csv) from the screening session Screening_QualtricsFile SniffinSticks_AnswerExcelSheet

Supplemental material

InformedConsent: Informed consent form (in English) TestSession_Questionnaires: All study questionnaires used (during the lab test session)

Structure data package Data files

Data files folder > Cleaned datasets > SMELLETECHNOLOGY_Dataset_FINAL CodingScheme_AdditionalExplanation_Dataset Data files folder > Raw Qualtrics data files > Lab test session > RAOrder_1_QualtricsSurvey RAOrder_2_QualtricsSurvey RAOrder_3_QualtricsSurvey RAOrder_4_QualtricsSurvey RAOrder_5_QualtricsSurvey RAOrder_6_QualtricsSurvey Data files folder > Raw Qualtrics data files > Screening session > Screening_QualtricsFile SniffinSticks_AnswerExcelSheet

Supplementary Materials

Supplemental Materials folder > InformedConsent TestSession_Questionnaires

Ethical clearance: This study was approved by the Ethical Review Board of the Tilburg School of Humanities and Digital Sciences (Tilburg University; file number: REDC 2023.62). Preregistration: The hypotheses, study design, and analysis plan were preregistered (https://osf.io/6hjax) Production date: Begin date: 15-01-2024 to End date: 31-03-2024 Method: Lab-based experiment, consisting of a cue exposure task and series of questionnaires (Qualtrics) Universe 70 healthy university students (59% female; MAge = 20.71 years) from diverse educational tracks took part in the research. All participants were fluent English speakers and screened on certain eligibility criteria. See pre-registration for specific inclusion and exclusion criteria. Country / Nation: The Netherlands.

The spreadsheet files (one-sheet xlsx files) are also present in their preferred file format csv. Preferred formats are file formats of which DANS – based on international agreements – is confident that they will offer the best long-term guarantees in terms of usability, accessibility and sustainability. For more information on preferred file formats, see https://dans.knaw.nl/en/file-formats/.

Data cannot be used for commercial purposes (see license).

Identifier
DOI https://doi.org/10.34894/1BBVZL
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/1BBVZL
Provenance
Creator de Vries, Rachelle; Vuorre, Matti (ORCID: 0000-0001-5052-066X); van der Laan, Nynke ORCID logo; van Leeuwen, Tessa ORCID logo
Publisher DataverseNL
Contributor de Vries, Rachelle; Nynke van der Laan; Tilburg University; DataverseNL
Publication Year 2024
Rights CC-BY-NC-4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess true
Contact de Vries, Rachelle (Tilburg University, Tilburg School of Humanities and Digital Sciences, Department of Communication and Cognition); Nynke van der Laan (Tilburg University, Tilburg School of Humanities and Digital Sciences, Department of Communication and Cognition)
Representation
Resource Type Experimental data; Dataset
Format text/csv; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/pdf; text/comma-separated-values
Size 1548; 12727; 75854; 11618; 17595; 11864; 16648; 11955; 16894; 11384; 15924; 11371; 11319; 16037; 11240; 17059; 97892; 99391; 124968; 187928; 144570
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Humanities; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences