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Research Brief| Volume 52, ISSUE 11, P1058-1065, November 2020

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Usability Study of a Novel Tool: The Virtual Cafeteria in Nutrition Education

      Abstract

      Objective

      This study aimed to evaluate the usability of the virtual cafeteria (VC) and determine its suitability for further studies in portion size education and rehabilitation of nutrition.

      Methods

      The study was conducted with 73 participants (aged 18–40 years). The VC, where the participants performed the task of assembling a meal, was created as a virtual reality simulation of a buffet-style cafeteria (94 food and 10 beverage items). The participants were asked to complete the System Usability Scale, which regards ≥70 points as acceptable, and to give comments about the VC.

      Results

      The mean System Usability Scale score was 79.4 ± 12.71 (range, 22.2–97.2). Approximately 68% of the participants described positive qualities for the VC. The participants with technical background reported the VC as more usable (96%) than the others (74%) (χ2 = 5,378; df = 1, P = 0.025).

      Conclusions and Implications

      Offered as a novel tool for education and rehabilitation of nutrition, the VC was confirmed to feature good usability.

      Key Words

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      REFERENCES

        • Kuriyan R
        • Griffiths JK
        • Finkelstein JL
        • et al.
        Innovations in nutrition education and global health: the Bangalore Boston nutrition collaborative.
        BMC Med Educ. 2014; 14: 5
        • Ray S
        • Ball L
        • Laur C
        Nutrition education for public health.
        Public Health. 2016; 140: 3-6
      1. Joint WHO/FAO Expert Consultation on Diet, Nutrition and the Prevention of Chronic Diseases. Diet, nutrition and the prevention of chronic diseases. Geneva, Switzerland: World Health Organization; 2003.http://health.euroafrica.org/books/dietnutritionwho.pdf. Accessed October 14, 2019.

        • Freeland-Graves JH
        • Nitzke S
        • Academy of Nutrition and Dietetics
        Position of the Academy of Nutrition and Dietetics: total diet approach to healthy eating.
        J Acad Nutr Diet. 2013; 113: 307-317
        • Amoutzopoulos B
        • Page P
        • Roberts C
        • et al.
        Portion size estimation in dietary assessment: a systematic review of existing tools, their strengths and limitations.
        Nutr Rev. 2020; 78: 885-900
        • Almiron-Roig E
        • Aitken A
        • Galloway C
        • Ellahi B
        Dietary assessment in minority ethnic groups: a systematic review of instruments for portion-size estimation in the United Kingdom.
        Nutr Rev. 2017; 75: 188-213
      2. Food and Agriculture Organization of the United Nations. Dietary assessment: a resource guide to method selection and application in low resource settings. Rome, Italy: Food and Agriculture Organization of the United Nations; 2018.http://www.fao.org/3/i9940en/I9940EN.pdf. Accessed October 18, 2019.

        • Amougou N
        • Cohen E
        • Mbala ML
        • et al.
        Development and validation of two food portion photograph books to assess dietary intake among adults and children in Central Africa.
        Br J Nutr. 2016; 115: 895-902
      3. Chaudhry BM, Schaefbauer C, Jelen B, Siek KA, Connelly K. Evaluation of a food portion size estimation interface for a varying literacy population Paper presented at: 2016 CHI Conference on Human Factors in Computing Systems; May 7-12, 2016; San Jose, CA.https://dl.acm.org/doi/abs/10.1145/2858036.2858554. Accessed October 14, 2019.

        • Laneroll P
        • Thoradeniya T
        • de Silva A
        Food models for portion size estimation of Asian foods.
        J Hum Nutr Diet. 2013; 26: 380-386
        • Abdullah RN
        • Abdul Muait J
        • Ganefri G
        Students’ perception towards modern technology as teaching Aids.
        AJATeL. 2019; 9: 37-42
        • Chamberland K
        • Sanchez M
        • Panahi S
        • Provencher V
        • Gagnon J
        • Drapeau V
        The impact of an innovative web-based school nutrition intervention to increase fruits and vegetables and milk and alternatives in adolescents: a clustered randomized trial.
        Int J Behav Nutr Phys Act. 2017; 14: 140
      4. Parker A, Kantroo V, Lee HR, Osornio M, Sharma M, Grinter R. Health promotion as activism: building community capacity to effect social change Paper presented at: 2012 SIGCHI Conference on Human Factors in Computing Systems; May 5-10; Austin, TX.https://dl.acm.org/doi/abs/10.1145/2207676.2207692. Accessed October 15, 2019.

      5. Brown S, Nunez D, Blake E. Using virtual reality to provide nutritional support to HIV+ women Paper presented at: 8th International Workshop on Presence; September 21-23, 2005; London, United Kingdom. http://pubs.cs.uct.ac.za/id/eprint/409/. Accessed October 20, 2019.

        • Ferrer-Garcia M
        • Gutierrez-Maldonado J
        • Riva G
        Virtual reality based treatments in eating disorders and obesity: a review.
        J Contemp Psychother. 2013; 43: 207-221
        • Ershow AE
        • Peterson CM
        • Riley WT
        • Rizzo A
        • Wansink B
        Virtual reality technologies for research and education in obesity and diabetes: research needs and opportunities.
        J Diabetes Sci Technol. 2011; 5: 212-224
        • Yang Y
        • Jia W
        • Bucher T
        • Zhang H
        • Sun M
        Image-based food portion size estimation using a smartphone without a fiducial marker.
        Public Health Nutr. 2019; 22: 1180-1192
        • Rollo ME
        • Aguiar EJ
        • Williams RL
        • et al.
        eHealth technologies to supportnutrition and physical activity behaviors in diabetes self-management.
        Diabetes Metab Syndr Obes. 2016; 9: 381-390
        • Persky S
        • Goldring MR
        • Turner SA
        • Cohen RW
        • Kistler WD
        Validity of assessing child feeding with virtual reality.
        Appetite. 2018; 123: 201-207
      6. Celikcan U, AŞ Bülbül, Aslan C, et al. The virtual cafeteria: an immersive environment for interactive food portion- size education. Paper presented at: 3rd International Workshop on Multisensory Approaches to Human-Food Interaction; October 16, 2018; Boulder, CO.https://dl.acm.org/doi/abs/10.1145/3279954.3279960. Accessed October 14, 2019.

        • McBride CM
        • Persky S
        • Wagner LK
        • Faith MS
        • Ward DS
        Effects of providing personalized feedback of child's obesity risk on mothers’ food choices using a virtual reality buffet.
        Int J Obes (Lond). 2013; 37: 1322-1327
        • Ung CY
        • Menozzi M
        • Hartmann C
        • Siegrist M
        Innovations in consumer research: the virtual food buffet.
        Food Qual Prefer. 2018; 63: 12-17
        • Rollo ME
        • Bucher T
        • Smith PS
        • Collins CE
        ServAR: an augmented reality tool to guide the serving of food.
        Int J Behav Nutr Phys Act. 2017; 14: 65
      7. General Directorate of Health Research, Ministry of Health. Nutritional Properties and Habits. Ankara, Turkey: Republic of Turkey Ministry of Health; 2014.https://hsgm.saglik.gov.tr/depo/birimler/saglikli-beslenme-hareketli-hayat-db/Yayinlar/kitaplar/diger-kitaplar/TBSA-Beslenme-Yayini.pdf. Accessed February 2, 2020.

        • Besler HT
        • Rakicioglu N
        • Ayaz A
        • et al.
        Turkey Specific Food and Nutrition Guide.
        Merdiven Reklam Tanitim, Ankara, Turkey2015
        • Rakıcıoğlu N
        • Tek AN
        • Ayaz A
        • Pekcan G
        Photograph Catalog of Food and Dishes: Portion Sizes and Amounts.
        2nd ed. Ata Ofset Pub, Ankara, Turkey2009
        • Nelson M
        • Atkinson M
        • Meyer J
        Food Portion Sizes: A Photographic Atlas.
        MAFF publications, London, United Kingdom1997
        • Kiyokawa K
        • Takemura H
        A Tunnel Window and Its Variations: Seamless Teleportation Techniques in a Virtual Environment.
        HCI International, Copenhagen, Denmark2005 (Accessed October 19, 2019)
      8. Christou CG, Aristidou P. Steering versus teleport locomotion for head mounted displays. Paper presented at: 2017 International Conference on Augmented Reality, Virtual Reality and Computer Graphics; June 12-15, 2017; Ugento, Italy. https://link.springer.com/chapter/10.1007/978-3-319-60928-7_37. Accessed October 19, 2019.

        • Marcum CS
        • Goldring MR
        • McBride CM
        • Persky S
        Modeling dynamic food choice processes to understand dietary intervention effects.
        Ann Behav Med. 2018; 52: 252-261
      9. Republic of Turkey Ministry of Health. Turkey Dietary Guidelines. Publication No. 1046. Ankara, Turkey: Republic of Turkey Ministry of Health; 2016.https://dosyasb.saglik.gov.tr/Eklenti/10915,tuber-turkiye-beslenme-rehberipdf.pdf. Accessed October 21, 2019.

        • Brooke J.
        SUS: a ‘quick and dirty’ usability scale.
        in: Jordan PW Thomas B McClelland IL Weerdmeester B Usability Evaluation in Industry. 1st ed. Taylor & Francis, London, United Kingdom1996: 189-194
        • Bangor A
        • Kortum PT
        • Miller JT
        An empirical evaluation of the system usability scale.
        Int J Hum Comput Int. 2008; 24: 574-594
        • Cagiltay K
        Human-Computer Interaction and Usability Engineering: From Theory to Practice.
        2nd ed. Ankara, Turkey: METU Press, 2011
        • Kadirhan Z
        • Gul A
        • Battal A
        System usability scale: validity and reliability study.
        J Educ Sci Pract. 2015; 14 ([in Turkish].): 149-167
        • Lewis JR
        • Sauro J
        Can I leave this one out? The effect of dropping an item from the SUS.
        J Usability Stud. 2017; 13: 38-46
        • Murimi MW
        • Kanyi M
        • Mupfudze T
        • Amin MR
        • Mbogori T
        • Aldubayan K
        Factors influencing efficacy of nutrition education interventions: a systematic review.
        J Nutr Educ Behav. 2017; 49: 142‐165.e1
        • Pase C
        • Mathias AD
        • Garcia CD
        • Garcia RC
        Using social media for the promotion of education and consultation in adolescents who have undergone kidney transplant: protocol for a randomized control trial.
        JMIR Res Protoc. 2018; 7: e3
        • Radovic A
        • McCarty CA
        • Katzman K
        • Richardson LP
        Adolescents’ perspectives on using technology for health: qualitative study.
        JMIR Pediatr Parent. 2018; 1: e2
        • Almiron-Roig E
        • Navas-Carretero S
        • Emery P
        • Martínez JA
        Research into food portion size: methodological aspects and applications.
        Food Funct. 2018; 9: 715-739
        • Collins K
        • Watson JF
        • Collins CE
        Food and beverage portion sizes in Australian children: a secondary analysis of 1995 and 2007 national data.
        BMC Public Health. 2014; 14: 517
        • Allman-Farinelli M
        • Ijaz K
        • Tran H
        • et al.
        A virtual reality food court to study meal choices in youth: design and assessment of usability.
        JMIR Form Res. 2019; 3: e12456