“…Different groups of patients have different navigational needs [4]. Spatial cognition and wayfinding are affected by many factors, including the age [7], gender [8], education, health disabilities [9], and culture [10]. Wayfinding in large complex buildings is also highly contextual, depending on the particularities of urban design, architectural settings, and historical development of the place.…”
In this paper, we map navigational needs and preferences of patients and visitors to evaluate the appropriateness of a smartphone navigation application in the hospital in contrast to other, more traditional navigational cues. We test the effects of sociodemographic variables (age, gender, education) on wayfinding strategies and preferences of respondents (using chi2 tests). Empirical research is based on the survey among 928 patients/visitors of the Vítkovice Hospital in Ostrava, Czechia. We found a relatively weak association between gender and wayfinding—no major differences between men and women in navigational preferences were found. Age was the most important predictor of wayfinding. Respondents in the over-60-year age group were characteristic of a lower interest in changes of the navigational system and low willingness to use mobile applications for navigation—people between 41 years and 60 years were the biggest supporters of changes. Correspondingly, demand for improvement of navigation (including a mobile application) was positively correlated with educational level.
“…Different groups of patients have different navigational needs [4]. Spatial cognition and wayfinding are affected by many factors, including the age [7], gender [8], education, health disabilities [9], and culture [10]. Wayfinding in large complex buildings is also highly contextual, depending on the particularities of urban design, architectural settings, and historical development of the place.…”
In this paper, we map navigational needs and preferences of patients and visitors to evaluate the appropriateness of a smartphone navigation application in the hospital in contrast to other, more traditional navigational cues. We test the effects of sociodemographic variables (age, gender, education) on wayfinding strategies and preferences of respondents (using chi2 tests). Empirical research is based on the survey among 928 patients/visitors of the Vítkovice Hospital in Ostrava, Czechia. We found a relatively weak association between gender and wayfinding—no major differences between men and women in navigational preferences were found. Age was the most important predictor of wayfinding. Respondents in the over-60-year age group were characteristic of a lower interest in changes of the navigational system and low willingness to use mobile applications for navigation—people between 41 years and 60 years were the biggest supporters of changes. Correspondingly, demand for improvement of navigation (including a mobile application) was positively correlated with educational level.
“…2001), age (Harris, M.A. and Wolberts, T. 2014), education (Ženka, J. et al 2021), culture (Davies, C. and Pederson, E. 2001), and, most importantly, mental and health (dis) abilities (Souza, R.F. and Martins, L.B.…”
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.
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