Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education

  • Jan Ženka Department of Social Geography and Regional Development, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
  • Jan Macháček Department of Social Geography and Regional Development, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
  • Luděk Krtička Department of Social Geography and Regional Development, Faculty of Science, University of Ostrava, Ostrava, Czech Republic
  • Pavel Michna AGEL a. s., Praha, Czech Republic
  • Pavel Kořízek AGEL Research and Training Institute, Prostějov, Czech Republic
Keywords: technology acceptance, hospital, gender, age, education, smartphone navigation


This paper analyses the acceptance of a smartphone navigation app in a hospital among its patients/visitors. We tested the effects of socio-demographic factors (gender, age, and education) on technology acceptance and on perceived difficulties with wayfinding in the hospital complex. The empirical research is based on a survey among 928 patients/visitors of the Vítkovice Hospital in Ostrava, Czechia. We found that the acceptance of smart navigation increases with the level of education and decreases with age. No significant gender differences were observed.


AGEL 2020. International sources of the Vitkovice Hospital.

Ajzen, I. 1991. The theory of planned behavior. Organizational Behavior and Human Decision Processes 50. (2): 179-211.

Anacta, V.J.A. and Schwering, A. 2010. Men to the east and women to the right: Wayfinding with verbal route instructions. In Spatial Cognition VII. Lecture Notes in Computer Science Vol. 6222. Eds.: Hölscher, C., Shipley, T.F., Olivetti Belardinelli, M., Bateman, J.A. and Newcombe, N.S., Berlin-Heidelberg, Springer Verlag, 70-84.

Anagnostopoulos, G.G., Deriaz, M., Gaspoz, J.M., Konstantas, D. and Guessous, I. 2017. Navigational needs and requirements of hospital staff: Geneva University hospitals case study. In Proceedings of International Conference on Indoor Positioning and Indoor Navigation, IPIN. 18-21 September 2017. Sapporo, Japan. 1-8.

Arning, K., Ziefle, M., Li, M. and Kobbelt, L. 2012. Insights into user experiences and acceptance of mobile indoor navigation devices. In Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia. New York, Association for Computing Machinery, 1-10.

Balata, J., Macik, M. and Mikovec, Z. 2013. Context sensitive navigation in hospitals. Paper for MobileMed 2013: Conference on Mobile and Information Technologies in Medicine. 20 November, 3013. Prague, Czech republic. Available at

Brown, M., Pinchin, J., Valand, R., Larkin, C., Pattinson, J., Benning, K., Housley, G., Hatton, J., Shaw, D., Syrysko, P., Sharples, S. and Blakey, J.D. 2016. NightShift simulation to train newly qualified doctors in non-technical skills: a feasibility study. Future Hospital Journal 3. (2): 94-98.

Calderoni, L., Ferrara, M., Franco, A. and Maio, D. 2015. Indoor localization in a hospital environment using Random Forest classifiers. Expert Systems with Applications 42. (1): 125-134.

Coluccia, E. and Louse, G. 2004. Gender differences in spatial orientation: a review. Journal of Environmental Psychology 24. 329-340.

Custodio, R., Gard, A.M., Graham, G., Satariano, W.A., Scharlach, A.E., Lindeman, D., Plude, D.J. and Hoyer, W.J. 1986. Age and the selectivity of visual information processing. Journal of Psychology and Aging 1. (1): 4-10.

Davies, C. and Pederson, E. 2001. Grid patterns and cultural expectations in urban wayfinding. In Spatial Information Theory: Foundations of Geographic Information Science. Proceedings. Ed.: Montello, D.R., Berlin-Heidelberg, Springer Verlag, 400-414.

Davis, F.D., Bagozzi, R.P. and Warshaw, P.R. 1989. User acceptance of computer technology: A comparison of two theoretical models. Management Science 35. (8): 982-1003.

De Beni, R., Pazzaglia, F. and Gardini, S. 2006. The role of mental rotation and age in spatial perspective- taking tasks: when age does not impair perspective- taking performance. Applied Cognitive Psychology 20. (6): 807-821.

Devlin, A.S. 2014. Wayfinding in healthcare facilities: Contributions from environmental psychology. Behavioral Sciences 4. (4): 423-436.

Elias, M.F., Elias, P. K., D'Agostino, R.B., Silbershatz, H. and Wolf, P.A. 1997. Role of age, education, and gender on cognitive performance in the framingham heart study: Community-based norms. Experimental Aging Research 23. (3): 201-235.

Galea, L.A.M. and Kimura, D. 1993. Sex differences in route-learning. Personality and Individual Differences 14. (1): 53-65.

Harris, M.A. and Wolberts, T. 2014. How age-related strategy switching deficits affect wayfinding in complex environments. Neurobiology of Aging 35. (5): 1095-1102.

Harwood, J. 2007. Understanding Communication and Aging: Developing Knowledge and Awareness. Newbury Park, CA, USA, SAGE Publications.

Hölscher, C., Meilinger, T., Vrachliotis, G., Brösamle, M. and Knauf, M. 2006. Up the down staircase: Wayfinding strategies in multi-level buildings. Journal of Environmental Psychology 26. (4): 284-299.

Hwang, K.H., Chan-Olmsted, S.M., Nam, S.H. and Chang, B.H. 2016. Factors affecting mobile application usage: Exploring the roles of gender, age, and application types from behaviour log data. International Journal of Mobile Communications 4. (3): 256-272.

Iaria, G., Palermo, L., Committeri, G. and Barton, J.J.S. 2009. Age differences in the formation and use of cognitive maps. Behavioural Brain Research 196. (2): 187-191.

Lapon, L., Ooms, K., De Wit, B., Vanhaeren, N. and De Maeyer, P. 2020. People's global-scale cognitive map versus their personal characteristics: a worldwide study. Cartography and Geographic Information Science 47. (6): 765-779.

Lawton, C.A. 1994. Gender differences in way-findig strategies: Relationship to spatial ability and spatial anxiety. Sex Roles 30. (11-12): 321-337.

Lawton, C.A. 2001. Gender and regional differences in spatial referents used in direction giving. Sex Roles 44. (5-6): 321-337.

Lawton, C.A., Charleston, S.I. and Zieles, A.S. 1996. Individual- and gender-related differences in indoor wayfinding. Environment and Behavior 2. (28): 204-219.

Le Carret, N., Lafont, S., Letenneur, L., Dartigues, J.F., Mayo, W. and Fabrigoule, C. 2003. The effect of education on cognitive performances and its implication for the constitution of the cognitive reserve. Developmental Neuropsychology 23. (3): 317-337.

Liao, H. and Dong, W. 2017. An exploratory study investigating gender effects on using 3D maps for spatial orientation in wayfinding. ISPRS International Journal of Geo Information 6. (3): 60.

Lynnot, P.P. and McCandless, J. 2000. The impact of age vs. life experience on the gender role attitudes of women in different cohorts. Journal of Women & Aging 12. (1): 5-21.

Mehra, A., Paul, J. and Kaurav, R.P.S. 2020. Determinants of mobile apps adoption among young adults: theoretical extension and analysis. Journal of Marketing Communications 2020. Online publication, 1-29.

Mendez-Lopez, M., Fidalgo, C., Osma, J. and Juan, M.C. 2020. Wayfinding strategy and gender - Testing the personality and emotions. Psychology Research and Behavior Management 13. 119-131.

Mollerup, P. 2009. Wayshowing in hospital. Australasian Medical Journal 2. (10): 112-114.

Morris, M.G., Venkatesh, V. and Ackerman, P.L. 2005. Gender and age differences in employee decisions about new technology: An extension to the theory of planned behavior. IEEE Transactions on Engineering Management 52. (1): 69-84.

Newman, M.C. and Kaszniak, A.W. 2000. Spatial memory and aging: Performance on a human analog of the Morris water maze. Aging, Neuropsychology and Cognition 7. (2): 86-93.;1-U;FT086

Olson, K.E., O'Brien, M.A., Rogers, W.A. and Charness, N. 2011. Diffusion of technology: Frequency of use for younger and older adults. Ageing International 36. (1): 123-145.

Posner, R.A. 1997. Aging and Old Age. Chicago, University of Chicago Press.

Proust-Lima, C., Amieva, H., Letenneur, L., Orgogozo, J.M., Jacqmin-Gadda, H. and Dartigues, J.F. 2008. Gender and education impact on brain aging: A general cognitive factor approach. Psychology and Aging 23. (3): 608-620.

Rao, S. and Troshani, I. 2007. A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretical and Applied Electronic Commerce Research 2. (2): 61-73.

Rice, R.E. and Katz, J.E. 2003. Comparing internet and mobile phone usage: Digital divides of usage, adoption, and dropouts. Telecommunications Policy 27. (8-9): 597-623.

Rodgers, M.K., Sindone, J.A. and Moffat, S.D. 2012. Effects of age on navigation strategy. Neurobiology of Aging 1. (33): 202.e15-202.e22.

Silber-Varod, V., Blau, I. and Lis-Hacohen, R. 2019. Gender in shared navigation: Men to Mars, women to Venus? Journal of Computer Information Systems 59. (2): 171-177.

Smirnov, M. 2007. Spatial Information Theory. Berlin-Heidelberg, Springer.

Souza, R.F. and Martins, L.B. 2019. Wayfinding of people with disability and reduced mobility in the urban space. In Studies in Systems, Decision and Control. Series ed.: Kacprzyk, J., Berlin, Springer International Publishing, 775-783.

Ulrich, S., Grill, E. and Flanagin, V.L. 2019. Who gets lost and why: A representative cross-sectional survey on sociodemographic and vestibular determinants of wayfinding strategies. PLoS ONE 14. (1): 1-16.

Venkatesh, V., Morris, M.G., Davis, G.B. and Davis, F.D. 2003. User acceptance of information technology: Toward a unified view. MIS Quarterly 27. (3): 425-458.

Venkatesh, V., Thong, J. and Xu, X. 2012. Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly 36. (1): 157-178.

Wichmann, J. and Leyer, M. 2021. Why do Visitors intend to use Indoor Navigation and Indoor Localization Systems in Hospitals? A Quantitative Survey from Germany. In Proceedings of the 54th Hawaii International Conference on System Sciences. Online publication, 3694-3703.

Wolstenholme, D., Cobb, M., Bowen, S., Wright, P.C. and Dearden, A. 2010. Design led service improvement for older people. Australasian Medical Journal AMJ 3. 465-470.

Ženka, J., Macháček, J., Michna, P. and Kořizek, P. 2021. Navigational needs and preferences of hospital patients and visitors: What prospects for smart technologies? International Journal of Environmental Research and Public Health 18. (3): 1-20.

How to Cite
ŽenkaJ., MacháčekJ., KrtičkaL., MichnaP., & KořízekP. (2021). Acceptance of a smartphone navigation application by hospital patients and visitors: the role of gender, age, and education. Hungarian Geographical Bulletin, 70(2), 149-161.
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