Journal of Medical Systems

, 39:1 | Cite as

Empirical Studies on Usability of mHealth Apps: A Systematic Literature Review

  • Belén Cruz Zapata
  • José Luis Fernández-Alemán
  • Ali Idri
  • Ambrosio Toval
Mobile Systems
Part of the following topical collections:
  1. Mobile Systems

Abstract

The release of smartphones and tablets, which offer more advanced communication and computing capabilities, has led to the strong emergence of mHealth on the market. mHealth systems are being used to improve patients’ lives and their health, in addition to facilitating communication between doctors and patients. Researchers are now proposing mHealth applications for many health conditions such as dementia, autism, dysarthria, Parkinson’s disease, and so on. Usability becomes a key factor in the adoption of these applications, which are often used by people who have problems when using mobile devices and who have a limited experience of technology. The aim of this paper is to investigate the empirical usability evaluation processes described in a total of 22 selected studies related to mHealth applications by means of a Systematic Literature Review. Our results show that the empirical evaluation methods employed as regards usability could be improved by the adoption of automated mechanisms. The evaluation processes should also be revised to combine more than one method. This paper will help researchers and developers to create more usable applications. Our study demonstrates the importance of adapting health applications to users’ need.

Keywords

Usability Empirical Mobile Applications mHealth Systematic literature review 

References

  1. 1.
    Hernandez Munoz, L. U., Woolley, S. I., A user-centered mobile health device to manage life-threatening anaphylactic allergies and provide support in allergic reactions. 9th Int. Conf. Inf. Technol. Appl. Biomed. ITAB 2009. pp 1–4, 2009.Google Scholar
  2. 2.
    Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2012–2017. http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862.html. Accessed 17 Oct 2013.
  3. 3.
    Smith, A., Smartphone Ownership – 2013 Update. http://boletines.prisadigital.com/PIP_Smartphone_adoption_2013.pdf. Accessed 10 May 2014, 2013.
  4. 4.
    Lee, H., Ahn, H., Choi, S., and Choi, W., The SAMS: Smartphone Addiction Management System and Verification. J. Med. Syst. 38:1–10, 2014.CrossRefGoogle Scholar
  5. 5.
    Nielsen, Mobile Majority: U.S. Smartphone ownership tops 60%. http://www.nielsen.com/us/en/newswire/2013/mobile-majority--u-s--smartphone-ownership-tops-60-.html. Accessed 10 May 2014, 2013.
  6. 6.
    One In Every 5 People In The World Own A Smartphone, One In Every 17 Own A Tablet [CHART]. In: Bus. Insid. http://www.businessinsider.com/smartphone-and-tablet-penetration-2013-10. Accessed 25 Jun 2014.
  7. 7.
    Lobo, D., Kaskaloglu, K., Kim, C. Y., and Herbert, S., Web usability guidelines for smartphones : a synergic approach. Int. J. Inf. Electron. Eng. 1:33–37, 2011.Google Scholar
  8. 8.
    Gartner Says Annual Smartphone Sales Surpassed Sales of Feature Phones for the First Time in 2013. http://www.gartner.com/newsroom/id/2665715. Accessed 13 Mar 2014.
  9. 9.
    Zickuhr, K., Tablet Ownership – 2013. In: PewResearchCenter. http://www.pewinternet.org/files/old-media/Files/Reports/2013/PIP_Tablet%20ownership%202013.pdf. Accessed 5 Oct 2014, 2013.
  10. 10.
    Liu, B., Lin, J., Sadeh, N., Reconciling mobile app privacy and usability on smartphones: could user privacy profiles help? Proc. 23rd Int. Conf. World Wide Web. International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, pp 201–212, 2014.Google Scholar
  11. 11.
    Aungst, T., Apple app store still leads Android in total number of medical apps. In: iMedicalApps. http://www.imedicalapps.com/2013/07/apple-android-medical-app/. Accessed 30 Jun 2014, 2013.
  12. 12.
    Jahns, R.-G., Houck, P., Mobile Health Market Report 2013–2017. http://www.research2guidance.com/shop/index.php/mobile-health-trends-and-figures 2013–2017. Accessed 23 Nov 2013, 2013.
  13. 13.
    Barendse, R. J., van Dam, T. B., Nelwan, S. P., Portable platform independent patient monitoring. Comput. Cardiol. Conf. CinC. pp 983–986, 2013.Google Scholar
  14. 14.
    Martinez-Perez, B., de la Torre-Diez, I., and Lopez-Coronado, M., Mobile Health Applications for the Most Prevalent Conditions by the World Health Organization: Review and Analysis. J. Med. Internet. Res. 15:e120, 2013.CrossRefGoogle Scholar
  15. 15.
    Onashoga, S. A., Sodiya, A. S., Omilani, T. O., Ajisegiri, H. O., A mobile phone-based antenatal care support system. Proc. 2011 21st Int. Conf. Syst. Eng. IEEE Computer Society, Washington, DC, USA, pp 410–415, 2011.Google Scholar
  16. 16.
    De Barros, A. C., Cevada, J., Bayés, À., et al., User-centred design of a mobile self-management solution for Parkinson’s disease. Proc. 12th Int. Conf. Mob. Ubiquitous Multimed. ACM, New York, NY, USA, pp 23:1–23:10, 2013.Google Scholar
  17. 17.
    World Health Organization, mHealth: New horizons for health through mobile technologies, 2011.Google Scholar
  18. 18.
    Coursaris, C. K., and Kim, D. J., A meta-analytical review of empirical mobile usability studies. J. Usability Stud. 6:11:117–11:171, 2011.Google Scholar
  19. 19.
    Baharuddin, R., Singh, D., and Razali, R., Usability dimensions for mobile applications—A review. Res. J. Appl. Sci. Eng. Technol. 5:2225–2231, 2013.Google Scholar
  20. 20.
    International Organisation for Standardisation ISO 9241–11:1998 Guidance on usability.Google Scholar
  21. 21.
    International Organisation for Standardisation ISO/IEC 9126–1 Quality model.Google Scholar
  22. 22.
    ISO/IEC 25010:2011 System and software quality models.Google Scholar
  23. 23.
    Abran, A., Khelifi, A., Suryn, W., Seffah, A., Consolidating the ISO usability models. Submitt. 11th Int. Softw. Qual. Manag. Conf. 8th Annu. INSPIRE Conf., 2003.Google Scholar
  24. 24.
    Dix, A., Finlay, J. E., Abowd, G. D., and Beale, R., Human-Computer Interaction, 3rd edition. Prentice-Hall, Inc., Upper Saddle River, 2003.Google Scholar
  25. 25.
    Nielsen, J., Usability engineering. Morgan Kaufmann Publishers Inc., San Francisco, 1993.MATHGoogle Scholar
  26. 26.
    Insfran, E., and Fernandez, A., A Systematic Review of Usability Evaluation in Web Development. In: Hartmann, S., Zhou, X., and Kirchberg, M. (Eds.), Web Information System Engineering – WISE 2008 Workshop. Springer, Berlin, pp. 81–91, 2008.CrossRefGoogle Scholar
  27. 27.
    Kitchenham, B., Procedures for performing systematic reviews. Departament of Computer Science, Keele University, 2004.Google Scholar
  28. 28.
    Fernández-Alemán, J. L., Señor, I. C., Lozoya, P. Á. O., and Toval, A., Security and privacy in electronic health records: a systematic literature review. J. Biomed. Inform. 46:541–562, 2013.CrossRefGoogle Scholar
  29. 29.
    Brereton, P., Kitchenham, B. A., Budgen, D., et al., Lessons from Applying the Systematic Literature Review Process Within the Software Engineering Domain. J. Syst. Softw. 80:571–583, 2007.CrossRefGoogle Scholar
  30. 30.
    Stone, P. W., Popping the (PICO) question in research and evidence-based practice. Appl. Nurs. Res. 15:197–198, 2002.CrossRefGoogle Scholar
  31. 31.
    Ouhbi, S., Idri, A., Fernández-Alemán, J. L., Toval, A., Requirements engineering education: a systematic mapping study. Requir. Eng. 1–20, 2013.Google Scholar
  32. 32.
    The CORE Conference Ranking Exercise - CORE Portal. http://core.edu.au/index.php/categories/conference%20rankings.
  33. 33.
  34. 34.
    Bowyer, K. W., Mentoring advice on “Conferences Versus Journals” for CSE Faculty, 2012.Google Scholar
  35. 35.
    Reynoldson, C., Stones, C., Allsop, M., et al., Assessing the Quality and Usability of Smartphone Apps for Pain Self-Management. Pain Med. 15:898–909, 2014.CrossRefGoogle Scholar
  36. 36.
    Fritz, F., Balhorn, S., Riek, M., et al., Qualitative and quantitative evaluation of EHR-integrated mobile patient questionnaires regarding usability and cost-efficiency. Int. J. Med. Inf. 81:303–313, 2012.CrossRefGoogle Scholar
  37. 37.
    Lawson, S., Jamison-Powell, S., Garbett, A., et al., Validating a mobile phone application for the everyday, unobtrusive, objective measurement of sleep. Proc. SIGCHI Conf. Hum. Factors Comput. Syst. ACM, New York, NY, USA, pp 2497–2506, 2013.Google Scholar
  38. 38.
    Holzinger, A., Kosec, P., Schwantzer, G., et al., Design and development of a mobile computer application to reengineer workflows in the hospital and the methodology to evaluate its effectiveness. J. Biomed. Inform. 44:968–977, 2011.CrossRefGoogle Scholar
  39. 39.
    Zargaran, E., Schuurman, N., Nicol, A. J., et al., The Electronic Trauma Health Record: Design and Usability of a Novel Tablet-Based Tool for Trauma Care and Injury Surveillance in Low Resource Settings. J. Am. Coll. Surg. 218:41–50, 2014.CrossRefGoogle Scholar
  40. 40.
    Hwang, Y., Shin, D., Yang, C.-Y., et al., Developing a voice user interface with improved usability for people with dysarthria. Proc. 13th Int. Conf. Comput. Help. People Spec. Needs - Vol. Part II. Springer-Verlag, Berlin, Heidelberg, pp 117–124, 2012.Google Scholar
  41. 41.
    de Barros, A. C., Leitão, R., and Ribeiro, J., Design and Evaluation of a Mobile User Interface for Older Adults: Navigation, Interaction and Visual Design Recommendations. Procedia Comput. Sci. 27:369–378, 2014.CrossRefGoogle Scholar
  42. 42.
    Kascak, L., Rébola, C. B., Braunstein, R., Sanford, J., Mobile application concept development for remote patient monitoring. Proc. 2013 I.E. Int. Conf. Healthc. Inform. IEEE Computer Society, Washington, DC, USA, pp 545–550, 2013.Google Scholar
  43. 43.
    Costa, R., Marcelino, L., Silva, C., Profile-based system for nutritional information management. 2013 I.E. 15th Int. Conf. E-Health Netw. Appl. Serv. Heal. pp 638–642, 2013.Google Scholar
  44. 44.
    Hosono, N., Miyajima, F., Inaba, T., et al., The urgent communication system for deaf and language dysfunction people. Proc. 15th Int. Conf. Hum. Interface Manag. Inf. Inf. Interact. Health Saf. Mobil. Complex Environ. - Vol. Part II. Springer-Verlag, Berlin, Heidelberg, pp 269–274, 2013.Google Scholar
  45. 45.
    Khan, S., Tahir, M. N., Raza, A., Usability issues for smartphone users with special needs - Autism. 2013 Int. Conf. Open Source Syst. Technol. ICOSST. pp 107–113, 2013.Google Scholar
  46. 46.
    Navarro, R. F., Favela, J., Usability assessment of a pervasive system to assist caregivers in dealing with repetitive behaviors of patients with dementia. Proc. 4th Int. Conf. PErvasive Technol. Relat. Assist. Environ. ACM, New York, NY, USA, pp 28:1–28:8, 2011.Google Scholar
  47. 47.
    Khan, D. U., Ananthanarayan, S., Le, A. T., et al., Designing mobile snack application for low socioeconomic status families. 2012 6th Int. Conf. Pervasive Comput. Technol. Healthc. PervasiveHealth. pp 57–64, 2012.Google Scholar
  48. 48.
    Tang. H.-H., Jheng, C.-M., Chien, M.-E., et al., iCAN: A tablet-based pedagogical system for improving the user experience of children with autism in the learning process. 2013 Int. Conf. Orange Technol. ICOT. pp 177–180, 2013.Google Scholar
  49. 49.
    Ferati, M., Mannheimer, S., Bolchini, D., Usability evaluation of acoustic interfaces for the blind. Proc. 29th ACM Int. Conf. Des. Commun. ACM, New York, NY, USA, pp 9–16, 2011.Google Scholar
  50. 50.
    Strisland, F., Svagard, I., Seeberg, T. M., et al., ESUMS: A mobile system for continuous home monitoring of rehabilitation patients. 2013 35th Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. EMBC. pp 4670–4673, 2013.Google Scholar
  51. 51.
    Yamagata, C., Kowtko, M., Coppola, J. F., Joyce, S., Mobile app development and usability research to help dementia and Alzheimer patients. Syst. Appl. Technol. Conf. LISAT 2013 I.E. Long Isl. pp 1–6. 2013.Google Scholar
  52. 52.
    Kukec, M., Ljubic, S., Glavinic, V. Need for usability and wish for mobility: case study of client end applications for primary healthcare providers in Croatia. Proc. 7th Conf. Workgr. Hum.-Comput. Interact. Usability Eng. Austrian Comput. Soc. Inf. Qual. E-Health. Springer-Verlag, Berlin, Heidelberg, pp 171–190, 2011.Google Scholar
  53. 53.
    Xiao, B., Asghar, M. Z., Jamsa, T, Pulii, P., “Canderoid”: A mobile system to remotely monitor travelling status of the elderly with dementia. 2013 Int. Jt. Conf. Aware. Sci. Technol. Ubi-Media Comput. ICAST-UMEDIA. pp 648–654, 2013.Google Scholar
  54. 54.
    Gay, V., Leijdekkers, P., Barin, E. Feasibility trial of a novel mobile cardiac rehabilitation application. 2010 12th IEEE Int. Conf. E-Health Netw. Appl. Serv. Heal. pp 86–92, 2010.Google Scholar
  55. 55.
    Brooke, J., SUS: A quick and dirty usability scale. Usability Eval. Ind., 1996.Google Scholar
  56. 56.
    Rai, A., Chen, L., Pye, J., and Baird, A., Understanding Determinants of Consumer Mobile Health Usage Intentions, Assimilation, and Channel Preferences. J. Med. Internet. Res. 15:e149, 2013.CrossRefGoogle Scholar
  57. 57.
    Kumar, S., Nilsen, W., Pavel, M., and Srivastava, M., Mobile Health: Revolutionizing Healthcare Through Transdisciplinary Research. Computer 46:28–35, 2013.CrossRefGoogle Scholar
  58. 58.
    Fiordelli, M., Diviani, N., and Schulz, P. J., Mapping mHealth Research: A Decade of Evolution. J. Med. Internet. Res. 15:e95, 2013.CrossRefGoogle Scholar
  59. 59.
    Riley, W. T., Rivera, D. E., Atienza, A. A., et al., Health behavior models in the age of mobile interventions: are our theories up to the task? Transl. Behav. Med. 1:53–71, 2011.CrossRefGoogle Scholar
  60. 60.
    Razvan Andonie, I. D., How to write a good paper in Computer Science and how will it be Measured by ISI Web of Knowledge. Int. J. Comput. V.:432–446, 2010.Google Scholar
  61. 61.
    Are conference papers the new academic journal articles? | Business Events Sydney Blog. http://blog.businesseventssydney.com.au/industry-insiders/are-conference-papers-the-new-academic-journal-articles/. Accessed 24 Jun 2014.
  62. 62.
    Nolan, G., Cinar, O., and Truxall, D., Android best practices, 1st edition. Apress, Berkely, 2013.Google Scholar
  63. 63.
    Dong, P., Loh, M., and Mondry, A., Publication lag in biomedical journals varies due to the periodical’s publishing model. Scientometrics 69:271–286, 2006.CrossRefGoogle Scholar
  64. 64.
    Björk, B.-C., and Solomon, D., The publishing delay in scholarly peer-reviewed journals. J. Inf. 7:914–923, 2013.CrossRefGoogle Scholar
  65. 65.
    Mhealth app developer economics 2014. In: mhealtheconomics.com. http://mhealtheconomics.com/mhealth-developer-economics-report/. Accessed 13 Jun 2014.
  66. 66.
    Chawda, B., Craft, B., Cairns, P., et al., Do “attractive things work better”? An exploration of search tool visualisations. Proc. 19th BCS Conf. Hum. Comput. Interact. pp 46–51, 2005.Google Scholar
  67. 67.
    Lindgaard, G., Fernandes, G., Dudek, C., and Brown, J., Attention web designers: You have 50 milliseconds to make a good first impression! Behav. Inf. Technol. 25:115–126, 2006.CrossRefGoogle Scholar
  68. 68.
    Chang, T.-R., Kaasinen, E., Kaipainen, K., What influences users’ decisions to take apps into use?: A framework for evaluating persuasive and engaging design in mobile apps for well-being. Proc. 11th Int. Conf. Mob. Ubiquitous Multimed. ACM, New York, NY, USA, pp 2:1–2:10. 2012.Google Scholar
  69. 69.
    Sutcliffe, A., Assessing the reliability of heuristic evaluation for website attractiveness and usability. Proc. 35th Annu. Hawaii Int. Conf. Syst. Sci. HICSS02-Vol. 5 - Vol. 5. IEEE Computer Society, Washington, DC, USA, p 137, 2002.Google Scholar
  70. 70.
    Capretz, L. F., Ali, A., and Ouda, A., A Conceptual Framework for Measuring the Quality Aspect of Mobile Learning. Bull. IEEE Tech. Comm. Learn Technol. 14:31–34, 2012.Google Scholar
  71. 71.
    Rauch, M., Mobile documentation: Usability guidelines, and considerations for providing documentation on Kindle, tablets, and smartphones. Prof. Commun. Conf. IPCC 2011 I.E. Int. pp 1–13, 2011.Google Scholar
  72. 72.
    Arnhold, M., Quade, M., and Kirch, W., Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older. J. Med. Internet. Res. 16:e104, 2014.CrossRefGoogle Scholar
  73. 73.
    Huygens, M., Vermeulen, J., de Witte, L., Expectations of middle-aged and elderly persons towards using telecare technologies and eHealth applications in primary care. pp 241–246, 2014.Google Scholar
  74. 74.
    Leung, R., Improving the learnability of mobile device applications for older adults. CHI 09 Ext. Abstr. Hum. Factors Comput. Syst. ACM, New York, NY, USA, pp 3125–3128, 2009.Google Scholar
  75. 75.
    Fernandez, A., Insfran, E., and Abrahão, S., Usability evaluation methods for the web: A systematic mapping study. Inf. Softw. Technol. 53:789–817, 2011.CrossRefGoogle Scholar
  76. 76.
    Riihiaho, S., Experiences with usability evaluation methods. Helsinki University of Technology, 2000.Google Scholar
  77. 77.
    Matera, M., Rizzo, F., and Carughi, G. T., Web Usability: Principles and Evaluation Methods. In: Mosley, N., and Mendes, E. (Eds.), Web Engeneering. Springer, Berlin, pp. 143–180, 2006.CrossRefGoogle Scholar
  78. 78.
    Rana, A., and Mridu, M., Analytical Comparison of usability Measurement Methods. Int. J. Comput. Appl. 39:11–18, 2012.Google Scholar
  79. 79.
    Heo, J., Ham, D.-H., Park, S., et al., A Framework for Evaluating the Usability of Mobile Phones Based on Multi-level, Hierarchical Model of Usability Factors. Interact. Comput. 21:263–275, 2009.CrossRefGoogle Scholar
  80. 80.
    Jaspers, M. W. M., A comparison of usability methods for testing interactive health technologies: Methodological aspects and empirical evidence. Int. J. Med. Inf. 78:340–353, 2009.CrossRefGoogle Scholar
  81. 81.
    Boren, T., and Ramey, J., Thinking aloud: reconciling theory and practice. IEEE Trans. Prof. Commun. 43:261–278, 2000.CrossRefGoogle Scholar
  82. 82.
    Adams, A., and Cox, A. L., Questionnaires, in-depth interviews and focus groups. In: Cox, A. L., and Cairns, P. (Eds.), Research Methods Human-Computer Interaction. Cambridge University Press, Cambridge, pp. 17–34, 2008.Google Scholar
  83. 83.
    Bangor, A., Kortum, P., and Miller, J., Determining what individual SUS scores mean: Adding an adjective rating scale. J. Usability Stud. 4:114–123, 2009.Google Scholar
  84. 84.
    Ryu, Y. S., and Smith-Jackson, T. L., Reliability and Validity of the Mobile Phone Usability Questionnaire (MPUQ). J. Usability Stud. 2:39–53, 2006.Google Scholar
  85. 85.
    Cronbach, L. J., Coefficient alpha and the internal structure of tests. Psychometrika 16:297–334, 1951.CrossRefGoogle Scholar
  86. 86.
    Dell, N., Vaidyanathan, V., Medhi, I., et al., “Yours is Better!”: Participant response bias in HCI. Proc. SIGCHI Conf. Hum. Factors Comput. Syst. ACM, New York, NY, USA, pp 1321–1330, 2012.Google Scholar
  87. 87.
    Ivory, M. Y., and Hearst, M. A., The State of the Art in Automating Usability Evaluation of User Interfaces. ACM Comput. Surv. 33:470–516, 2001.CrossRefGoogle Scholar
  88. 88.
    Fabo, P., Durikovic, R., Automated usability measurement of arbitrary desktop application with eyetracking. Proc. 2012 16th Int. Conf. Inf. Vis. IEEE Computer Society, Washington, DC, USA, pp 625–629, 2012.Google Scholar
  89. 89.
    Bastien, J. M. C., Usability testing: a review of some methodological and technical aspects of the method. Int. J. Med. Inf. 79:e18–e23, 2010.CrossRefGoogle Scholar
  90. 90.
    Waterson, S., Landay, J. A., Matthews, T., In the lab and out in the wild: remote web usability testing for mobile devices. CHI 02 Ext. Abstr. Hum. Factors Comput. Syst. ACM, New York, NY, USA, pp 796–797, 2002.Google Scholar
  91. 91.
    Burzacca, P., Paternò, F., Remote usability evaluation of mobile web applications. Proc. 15th Int. Conf. Hum.-Comput. Interact. Hum.-Centred Des. Approaches Methods Tools Environ. - Vol. Part I. Springer-Verlag, Berlin, Heidelberg, pp 241–248, 2013.Google Scholar
  92. 92.
    Thompson, K. E., Rozanski, E. P., Haake, A. R., Here, there, anywhere: remote usability testing that works. Proc. 5th Conf. Inf. Technol. Educ. ACM, New York, NY, USA, pp 132–137, 2004.Google Scholar
  93. 93.
    Bruin, J. A. de, Malan, K. M., Eloff, J. H. P., Saccade deviation indicators for automated eye tracking analysis. Proc. 2013 Conf. Eye Track. South Afr. ACM, New York, NY, USA, pp 47–54. 2013.Google Scholar
  94. 94.
    Chynal, P., Szymański, J. M., Sobecki, J., Using eyetracking in a mobile applications usability testing. Proc. 4th Asian Conf. Intell. Inf. Database Syst. - Vol. Part III. Springer-Verlag, Berlin, Heidelberg, pp 178–186, 2012.Google Scholar
  95. 95.
    Hornbæk, K., Current practice in measuring usability: Challenges to usability studies and research. Int. J. Hum.-Comput. Stud. 64:79–102, 2006.CrossRefGoogle Scholar
  96. 96.
    World Health Organization, Dementia: a public health priority. http://www.who.int/mental_health/publications/dementia_report_2012/en/, 2012.
  97. 97.
    Mc Carthy, S., Sayers, H., McKevitt, P., Investigating the usability of PDAs with ageing users. Proc. 21st Br. HCI Group Annu. Conf. People Comput. HCIBut We Know It - Vol. 2. British Computer Society, Swinton, UK, UK, pp 67–70, 2007.Google Scholar
  98. 98.
    Tseng, K. C., Hsu, C.-L., and Chuang, Y.-H., Designing an Intelligent Health Monitoring System and Exploring User Acceptance for the Elderly. J. Med. Syst. 37:1–18, 2013.CrossRefGoogle Scholar
  99. 99.
    Pak, R., McLaughlin, A., Designing displays for older adults. CRC Press, 2010.Google Scholar
  100. 100.
    Fisk, A. D., Rogers, W. A., Charness, N., et al., Designing for Older Adults: Principles and Creative Human Factors Approaches, 2nd edition. CRC Press, Boca Raton, 2009.CrossRefGoogle Scholar
  101. 101.
    Chisnell, D. E., Redish, J. C., and Lee, A., New Heuristics for Understanding Older Adults as Web Users. Tech. Commun. 53:39–59, 2006.Google Scholar
  102. 102.
    Nielsen, J., Senior citizens (Ages 65 and older) on the web. In: Nielsen Norman Group. http://www.nngroup.com/reports/senior-citizens-on-the-web/. Accessed 23 Jun 2014, 2013.
  103. 103.
    Joe, J., and Demiris, G., Older adults and mobile phones for health: A review. J. Biomed. Inform. 46:947–954, 2013.CrossRefGoogle Scholar
  104. 104.
    Leo, G. D., Gonzales, C. H., Battagiri, P., and Leroy, G., A Smart-Phone Application and a Companion Website for the Improvement of the Communication Skills of Children with Autism: Clinical Rationale, Technical Development and Preliminary Results. J. Med. Syst. 35:703–711, 2011.CrossRefGoogle Scholar
  105. 105.
    Hanna, L., Risden, K., and Alexander, K., Guidelines for Usability Testing with Children. Interactions 4:9–14, 1997.CrossRefGoogle Scholar
  106. 106.
    Markopoulos, P., and Bekker, M., On the assessment of usability testing methods for children. Interact. Comput. 15:227–243, 2003.CrossRefGoogle Scholar
  107. 107.
    Edwards, H., Benedyk, R., A comparison of usability evaluation methods for child participants in a school setting. Proc. 6th Int. Conf. Interact. Des. Child. ACM, New York, NY, USA, pp 9–16, 2007.Google Scholar
  108. 108.
    Nielsen, J., Landauer, T. K., A mathematical model of the finding of usability problems. Proc. INTERACT 93 CHI 93 Conf. Hum. Factors Comput. Syst. ACM, New York, NY, USA, pp 206–213, 1993.Google Scholar
  109. 109.
    Nielsen, J., Why you only need to test with 5 users. http://www.nngroup.com/articles/why-you-only-need-to-test-with-5-users/. Accessed 22 Jun 2014, 2000.
  110. 110.
    Gulliksen, J., Göransson, B., Boivie, I., et al., Key principles for user-centred systems design. In: Seffah, A., Gulliksen, J., and Desmarais, M. C. (Eds.), Human-Centered Softwafe Engineering — Integrating Usability Software Devevelopment Lifecycle. Springer, Netherlands, pp. 17–36, 2005.CrossRefGoogle Scholar
  111. 111.
    Leonardi, C., Albertini, A., Pianesi, F., Zancanaro, M., An exploratory study of a touch-based gestural interface for elderly. Proc. 6th Nord. Conf. Hum.-Comput. Interact. Extending Boundaries. ACM, New York, NY, USA, pp 845–850, 2010.Google Scholar
  112. 112.
    Leitao, R., Silva, P. A., A study of novice older adults and gestural interaction on smartphones. 3rd Workshop Mob. Access. HCI13, 2013.Google Scholar
  113. 113.
    Nudelman, G., Android design patterns: interaction design solutions for developers. John Wiley & Sons, 2013.Google Scholar
  114. 114.
    Android Developers Reference Android Design Guidelines. http://developer.android.com/design/index.html. Accessed 30 Jun 2014.
  115. 115.
    iOS Developer Library iOS Human Interface Guidelines. https://developer.apple.com/library/ios/documentation/userexperience/conceptual/mobilehig/. Accessed 30 Jun 2014.
  116. 116.
    Mendoza, A., Mobile user experience: patterns to make sense of it all. Morgan Kaufmann, 2013.Google Scholar
  117. 117.
    Zapata, B. C., Niñirola, A. H., Idri, A., et al., Mobile PHRs Compliance with Android and iOS Usability Guidelines. J. Med. Syst. 38:1–16, 2014.CrossRefGoogle Scholar
  118. 118.
    Plaza, I., MartíN, L., Martin, S., and Medrano, C., Mobile Applications in an Aging Society: Status and Trends. J. Syst. Softw. 84:1977–1988, 2011.CrossRefGoogle Scholar
  119. 119.
    Kurniawan, S., Mobile Phone Design for Older Persons. Interactions 14:24–25, 2007.CrossRefGoogle Scholar
  120. 120.
    Kalkov, I., Franke, D., Schommer, J. F., Kowalewski, S., A real-time extension to the android platform. Proc. 10th Int. Workshop Java Technol. Real-Time Embed. Syst. ACM, New York, NY, USA, pp 105–114, 2012.Google Scholar
  121. 121.
    BIG Launcher BIG Launcher. In: Google Play. https://play.google.com/store/apps/details?id=name.kunes.android.launcher.activity. Accessed 24 Jun 2014.
  122. 122.
    UIU LTD, Wiser - Simple Launcher. In: Google Play. https://play.google.com/store/apps/details?id=com.wiser.home. Accessed 24 Jun 2014.
  123. 123.
    Necta Necta Launcher. In: Google Play. https://play.google.com/store/apps/details?id=com.necta.launcher. Accessed 24 Jun 2014.
  124. 124.
    Chicago Logic Inc, Big Buttons Keyboard Standard. In: Google Play. https://play.google.com/store/apps/details?id=com.bigbuttons. Accessed 24 Jun 2014.
  125. 125.
    Gartner Says Worldwide Tablet Sales Grew 68 Percent in 2013, With Android Capturing 62 Percent of the Market. http://www.gartner.com/newsroom/id/2674215. Accessed 25 Jun 2014.
  126. 126.
    Sclafani, J., Tirrell, T. F., and Franko, O. I., Mobile Tablet Use among Academic Physicians and Trainees. J. Med. Syst. 37:1–6, 2013.CrossRefGoogle Scholar
  127. 127.
    Robinson, R. L., and Burk, M. S., Tablet Computer Use by Medical Students in the United States. J. Med. Syst. 37:1–4, 2013.Google Scholar
  128. 128.
    Cheung, A., Janssen, A., Amft, O., et al., Usability of digital media in patients with COPD: a pilot study. Int. J. Technol. Assess. Health Care 29:162–165, 2013.CrossRefGoogle Scholar
  129. 129.
    Toval, A., Carrillo-de-Gea, J. M., Fernandez-Aleman, J. L., Toval, R., Learning systems development using reusable standard-based requirements catalogs. 2011 I.E. Glob. Eng. Educ. Conf. EDUCON. pp 907–912, 2011.Google Scholar
  130. 130.
    Sánchez-Henarejos, A., Fernández-Alemán, J. L., Toval, A., et al., Guía de buenas prácticas de seguridad informática en el tratamiento de datos de salud para el personal sanitario en atención primaria. Aten. Primaria 46:214–222, 2014.CrossRefGoogle Scholar
  131. 131.
    Cos, J. A., Toval, A., Fernández-Alemán, J. L., et al., Internationalization requirements for e-learning audit purposes. 2012 I.E. Glob. Eng. Educ. Conf. EDUCON. pp 1–6, 2012.Google Scholar

Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Belén Cruz Zapata
    • 1
  • José Luis Fernández-Alemán
    • 1
  • Ali Idri
    • 2
  • Ambrosio Toval
    • 1
  1. 1.Department of Informatics and Systems, Faculty of Computer ScienceUniversity of MurciaMurciaSpain
  2. 2.Software Project Management Research Team, ENSIASMohammed V Souissi UniversityRabatMorocco

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