Abstract
In the Arab world, mobile health (mHealth) applications are an effective way to provide health benefits to medically needy in the absence of health services. However, end users around the world use technology to perform tasks in a way that appears more natural, and closer to their cultural and personal preferences. Evidence from prior studies shows that culture is a vital factor in the success of a system or product. In view of this fact, this study investigated elderly Arab users’ acceptance of mHealth User Interface (UI) design-based culture. The TAM model was used to shape the theoretical foundation for this study with a questionnaire as data gathering tool from 81 participants. The findings showed that perceived ease of use and attitude towards use had a significant positive influence on users’ behavioral intention to use mHealth UI design-based culture. The impact of age on the relationship between ease of use, usefulness, and intention was significant. Overall, the findings showed that elderly Arab users found the UI design of mHealth acceptable due to its cultural significance. To enhance the design of mobile UI targeting elderly users, it is important to consider the cultural rules and their behavioral applications.
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References
Mamolo M, Scherbov S (2009) Population projections for forty-four European countries: the ongoing population ageing. Vienna Institute of Demography, Wien
Klimova B (2016) Elderly people and their use of smart technologies: benefits and limitations. In: Uskov V, Howlett R, Jain L (eds) Smart education and e-learning 2016. Smart Innovation, Systems and Technologies, vol 59. Springer, Cham
Połap D et al (2018) An intelligent system for monitoring skin diseases. Sensors 18(8):2552
Nessa A et al (2008) Applicability of telemedicine in Bangladesh: current status and future prospects. In: 2008 third international conference on convergence and hybrid information technology ICCIT’08, IEEE
Sharifi M et al (2013) E-health implementation challenges in Iranian medical centers: a qualitative study in Iran. Telemed e-Health 19(2):122–128
Hoque MR, Mazmum M, Bao Y (2014) E-health in Bangladesh: current status, challenges, and future direction. Int Technol Manag Rev 4(2):87–96
Free C et al (2013) The effectiveness of mobile-health technology-based health behaviour change or disease management interventions for health care consumers: a systematic review. PLoS Med 10(1):e1001362
Akter S, D’Ambra J, Ray P (2010) Service quality of mHealth platforms: development and validation of a hierarchical model using PLS. Electron Markets 20(3–4):209–227
Abdulrazak B et al (2013) PhonAge: adapted smartphone for aging population. In: International conference on smart homes and health telematics, Springer
Dewsbury G et al (2003) Designing acceptable’smart’home technology to support people in the home. Technol Disabil 15(3):191–199
Vastenburg MH et al (2008) Designing acceptable assisted living services for elderly users. In: European conference on ambient intelligence, Springer
Alsswey A, Umar I, Al-Samarraie H (2018) Towards mobile design guidelines-based cultural values for elderly arabic users. J Fundam Appl Sci 10(2S):964–977
Petrie H et al (2017) Issues of culture in designing for accessibility. In: IFIP conference on human–computer interaction, Springer
Mora A et al (2016) Gamification of cognitive training: a crowdsourcing-inspired approach for older adults. In: Proceedings of the XVII international conference on human computer interaction, ACM
Almakky H, Sahandi R, Taylor J (2015) The effect of culture on user interface design of social media—a case study on preferences of Saudi Arabians on the Arabic user interface of facebook. World Acad Sci Eng Technol Int J Soc Behav Educ Econ Bus Ind Eng 9(1):107–111
Goodall K, Ward P, Newman L (2010) Use of information and communication technology to provide health information: what do older migrants know, and what do they need to know? Qual Prim Care 18(1):27–32
Fisk D (2009) Designing for older adults: principles and creative human factors approaches. CRC Press, Boca Raton
Mehrotra S et al (2016) Embodied conversational interfaces for the elderly user. In: Proceedings of the 8th Indian conference on human computer interaction, ACM
Leburu K (2015) Older persons’ competence to use mobile phones: an exploratory study. North-West University, Potchefstroom Campus
Charness N, Holley P (2004) The new media and older adults: usable and useful? Am Behav Sci 48(4):416–433
Häikiö J et al (2007) Touch-based user interface for elderly users. In: Proceedings of the 9th international conference on Human computer interaction with mobile devices and services, ACM
Alpay L et al (2009) Current challenge in consumer health informatics: bridging the gap between access to information and information understanding. Biomed Inform Insights 2:BII-S2223
Cho H et al (2018) A mobile health intervention for HIV prevention among racially and ethnically diverse young men: usability evaluation. JMIR mHealth uHealth 6(9):e11450
Kuerbis A, Mulliken A, Muench F, Moore AA, Gardner D (2017) Older adults and mobile technology: factors that enhance and inhibit utilization in the context of behavioral health. Ment Health Addict Res. https://doi.org/10.15761/MHAR.1000136
Sibai AM et al (2017) Ageing and health in the Arab region: challenges, opportunities and the way forward. Popul Horiz 14(2):73–84
Aldhaban F, Daim TU, Harmon R (2015) Exploring the adoption and use of the smartphone technology in emerging regions: a literature review and hypotheses development. In: 2015 Portland international conference on management of engineering and technology (PICMET), IEEE
Ameen N, Willis R, Thomas B (2015) Mobile adoption in the Arab countries: a conceptual framework. In: UKAIS
Hill CE et al (1998) A qualitative assessment of Arab culture and information technology transfer. J Glob Inform Manag 6(3):29–38
Barton S (2010) Social and cultural factors that influence the uptake of E-learning: case studies in Malaysia, Indonesia, Turkey, Singapore and Australia, Doctor of Philosophy (PhD), Business Information Technology, RMIT University
Hofstede G (1980) Culture and organizations. Int Stud Manag Org 10(4):15–41
Hampden-Turner C, Trompenaars F (1997) Mastering the infinite game: how East Asian values are transforming business practices. Capstone, Oxford
Benaida M (2014) Developing arabic usability guidelines for e-learning websites in higher education. University of Salford, Salford
Luna D, Peracchio LA, de Juan MD (2002) Cross-cultural and cognitive aspects of web site navigation. J Acad Mark Sci 30(4):397–410
Tsikriktsis N (2002) Does culture influence web site quality expectations? An empirical study. J Serv Res 5(2):101–112
Pinto JK, Mantel SJ (1990) The causes of project failure. IEEE Trans Eng Manag 37(4):269–276
Venkatesh V et al (2004) Individual reactions to new technologies in the workplace: the role of gender as a psychological construct. J Appl Soc Psychol 34(3):445–467
Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quart 13(3):319–340
Venkatesh V et al (2003) User acceptance of information technology: toward a unified view. MIS Quart pp 425–478
Venkatesh V, Bala H (2008) Technology acceptance model 3 and a research agenda on interventions. Decis Sci 39(2):273–315
Al-Hujran O, Al-Dalahmeh M (2011) The role of national culture on citizen adoption of egovernment web sites. In: ECEG2011-proceedings of the 11th European conference on EGovernment: ECEG2011, Academic Conferences Limited
Al-Adwan A, Al-Adwan A, Smedley J (2013) Exploring students acceptance of e-learning using technology acceptance model in Jordanian universities. Int J Educ Develop Inform Commun Technol 9(2):4
Kwon O, Wen Y (2010) An empirical study of the factors affecting social network service use. Comput Human Behav 26(2):254–263
Zhu D-S, Lin TC-T, Hsu Y-C (2012) Using the technology acceptance model to evaluate user attitude and intention of use for online games. Total Qual Manag Bus Excell 23(7–8):965–980
Yeh RK-J, Teng JT (2012) Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance. Behav Inform Technol 31(5):525–540
Pikkarainen T et al (2004) Consumer acceptance of online banking: an extension of the technology acceptance model. Int Res 14(3):224–235
Kuo Y-F, Yen S-N (2009) Towards an understanding of the behavioral intention to use 3G mobile value-added services. Comput Human Behav 25(1):103–110
Chan S-C (2004) Understanding internet banking adoption and use behavior: a Hong Kong perspective. J Glob Inform Manag 12(3):21–43
Broekhuizen TL, Huizingh E (2006) Investigating the effect of consumer traits on the relative importance of TAM constructs in an e-commerce context. In: Proceedings from the ICEB eBRF conference
Lemire M et al (2008) Determinants of Internet use as a preferred source of information on personal health. Int J Med Inform 77(11):723–734
Wong CK et al (2014) Chinese older adults’ internet use for health information. J Appl Gerontol 33(3):316–335
Yun EK, Park HA (2010) Consumers’ disease information—seeking behaviour on the internet in Korea. J Clin Nurs 19(19–20):2860–2868
Muhammad MZ et al (2011) An exploration of social networking sites (SNS) adoption in Malaysia using tecnology acceptance model (TAM), theory of planned behavior (TPB) and intrinsic motivation. J Int Bank Commer 16(2):1–27
Wang W-H, Liu Y-J (2009) Attitude, behavioral intention and usage: an empirical study of Taiwan railway’s internet ticketing system. National Taiwan Ocean University, Taiwan, p 72
Chung JE et al (2010) Age differences in perceptions of online community participation among non-users: an extension of the technology acceptance model. Comput Human Behav 26(6):1674–1684
Porter CE, Donthu N (2006) Using the technology acceptance model to explain how attitudes determine internet usage: the role of perceived access barriers and demographics. J Bus Res 59(9):999–1007
Czaja SJ et al (2006) Factors predicting the use of technology: findings from the center for research and education on aging and technology enhancement (CREATE). Psychol Aging 21(2):333
Marcus A, Hamoodi S (2009) The impact of culture on the design of Arabic websites. In: International conference on internationalization, design and global development, Springer
Mushtaha A, De Troyer O (2012) A pyramid of cultural markers for guiding cultural-centered localized website design. In: Proceedings of the 8th international conference on cultural attitudes towards communication and technology: CATaC 2012
Azmi A, Alsaiari A (2010) Arabic typography: a survey. Int J Electr Comput Sci 9(10):1
Hall M (1976) The theory of groups, vol 288. American Mathematical Soc, Providence
Hofstede G (2001) Culture’s consequences: comparing values, behaviors, institutions and organizations across nations. Sage, Thousand Oaks
Abunadi I (2013) Influence of culture on e-government acceptance in Saudi Arabia. arXiv:1307.7141
Ntaliani M, Costopoulou C, Karetsos S (2008) Mobile government: a challenge for agriculture. Gov Inf Quart 25(4):699–716
Alharbi S, Drew S (2014) Using the technology acceptance model in understanding academics’ behavioural intention to use learning management systems. Int J Adv Comput Sci Appl 5(1):143–155
Drost EA (2011) Validity and reliability in social science research. Educ Res Perspect 38(1):105
van Griethuijsen RA et al (2015) Global patterns in students’ views of science and interest in science. Res Sci Educ 45(4):581–603
Ahlgren P, Jarneving B, Rousseau R (2003) Requirements for a cocitation similarity measure, with special reference to Pearson’s correlation coefficient. J Assoc Inf Sci Technol 54(6):550–560
Field A (2013) Discovering statistics using IBM SPSS statistics. Sage, Thousand Oaks
Kock N (2016) Non-normality propagation among latent variables and indicators in PLS-SEM simulations. J Mod Appl Stat Methods 15(1):16
Morris MG, Venkatesh V, Ackerman PL (2005) Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior. IEEE Trans Eng Manag 52(1):69–84
Wang YS, Wu MC, Wang HY (2009) Investigating the determinants and age and gender differences in the acceptance of mobile learning. Br J Educ Technol 40(1):92–118
Riskinanto A, Kelana B, Hilmawan DR (2017) The moderation effect of age on adopting e-payment technology. Procedia Comput Sci 124:536–543
Kim J, Park H-A (2012) Development of a health information technology acceptance model using consumers’ health behavior intention. J Med Int Res 14(5):e113
Mostafa MM, El-Masry AA (2013) Citizens as consumers: profiling e-government services’ users in Egypt via data mining techniques. Int J Inf Manag 33(4):627–641
Aggelidis VP, Chatzoglou PD (2009) Using a modified technology acceptance model in hospitals. Int J Med Inf 78(2):115–126
Cyr D (2013) Website design, trust and culture: an eight country investigation. Electron Commer Res Appl 12(6):373–385
Kersten GE, Kersten MA (2004) Software and culture: beyond the internationalization. Adv Top Glob Inf Manag 3:56
Hsieh J-Y, Liao P-W (2011) Antecedents and moderators of online shopping behavior in undergraduate students. Soc Behav Personal Int J 39(9):1271–1280
Hendrickson AR, Collins MR (1996) An assessment of structure and causation of IS usage. ACM SIGMIS Database DATABASE Adv Inf Syst 27(2):61–67
Raleting T, Nel J (2011) Determinants of low-income non-users attitude towards WIG mobile phone banking: evidence from South Africa. Afr J Bus Manag 5(1):212–223
Giovannini CJ et al (2015) The effects of trust transference, mobile attributes and enjoyment on mobile trust. BAR Braz Adm Rev 12(1):88–108
Lim S et al (2011) A study on Singaporean women’s acceptance of using mobile phones to seek health information. Int J Med Inf 80(12):e189–e202
Taha J, Sharit J, Czaja S (2009) Use of and satisfaction with sources of health information among older internet users and nonusers. Gerontologist 49(5):663–673
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Alsswey, A., Al-Samarraie, H. Elderly users’ acceptance of mHealth user interface (UI) design-based culture: the moderator role of age. J Multimodal User Interfaces 14, 49–59 (2020). https://doi.org/10.1007/s12193-019-00307-w
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DOI: https://doi.org/10.1007/s12193-019-00307-w