Effects of Aging and Domain Knowledge on Usability in Small Screen Devices for Diabetes Patients

Technology acceptance has become a key concept for the successful rollout of technical devices. Though the concept is intensively studied for nearly 20 years now, still, many open questions remain. This especially applies to technology acceptance of older users, which are known to be very sensitive to suboptimal interfaces and show considerable reservations towards the usage of new technology. Mobile small screen technology increasingly penetrates health care and medical applications. This study investigates impacts of aging, technology expertise and domain knowledge on user interaction using the example of diabetes. For this purpose user effectiveness and efficiency have been measured on a simulated small screen device and related to user characteristics, showing that age and technology expertise have a big impact on usability of the device. Furthermore, impacts of user characteristics and success during the trial on acceptance of the device were surveyed and analyzed.

[1]  Andreas Holzinger,et al.  HCI and Usability for Medicine and Health Care, Third Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2007, Graz, Austria, November, 22, 2007, Proceedings , 2007, USAB.

[2]  Roger A Dixon,et al.  Exploring effects of type 2 diabetes on cognitive functioning in older adults. , 2009, Neuropsychology.

[3]  F. Craik,et al.  The handbook of aging and cognition , 1992 .

[4]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[5]  Martina Ziefle,et al.  How to Overcome Disorientation in Mobile Phone Menus: A Comparison of Two Different Types of Navigation Aids , 2006, Hum. Comput. Interact..

[6]  Martina Ziefle,et al.  How younger and older adults master the usage of hyperlinks in small screen devices , 2007, CHI.

[7]  Andreas Holzinger,et al.  Usability engineering methods for software developers , 2005, CACM.

[8]  Daniel G. Morrow,et al.  Expertise and Aging in a Pilot Decision-Making Task , 2004 .

[9]  S. Czaja,et al.  Age differences in the performance of computer-based work. , 1993, Psychology and aging.

[10]  Martina Ziefle,et al.  Transgenerational Designs in Mobile Technology , 2008 .

[11]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[12]  Patricia A. Urban,et al.  Coping with Diversity , 2003 .

[13]  Steve J. Westerman,et al.  Individual Differences in the Use of Command Line and Menu Computer Interfaces , 1997, Int. J. Hum. Comput. Interact..

[14]  W. Johnson,et al.  Handbook of Aging and Cognition , 2008 .

[15]  Steffen Leonhardt,et al.  Personal Healthcare Devices , 2006 .

[16]  Martina Ziefle Spatial Cues in Small Screen Devices: Benefit Or Handicap? , 2009, INTERACT.

[17]  Paul E. O'Brien,et al.  Adjustable gastric banding and conventional therapy for type 2 diabetes: A randomized controlled trial , 2008 .

[18]  Horst Siebert Economic Policy for Aging Societies , 2002 .

[19]  Andreas Holzinger,et al.  Design and Development of a Mobile Medical Application for the Management of Chronic Diseases: Methods of Improved Data Input for Older People , 2007, USAB.

[20]  Martina Ziefle,et al.  Development and validation of a computer expertise questionnaire for older adults , 2008, Behav. Inf. Technol..

[21]  Martina Ziefle,et al.  Barriers of Information Access in Small Screen Device Applications: The Relevance of User Characteristics for a Transgenerational Design , 2006, Universal Access in Ambient Intelligence Environments.

[22]  Martina Ziefle,et al.  Understanding age differences in PDA acceptance and performance , 2007, Comput. Hum. Behav..

[23]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[24]  Andreas Holzinger,et al.  On Some Aspects of Improving Mobile Applications for the Elderly , 2007, HCI.

[25]  Steven W. Brown,et al.  The effects and interaction of spatial visualization and domain expertise on information seeking , 2004, Comput. Hum. Behav..

[26]  Jan Stage,et al.  Handbook of Research on User Interface Design and Evaluation for Mobile Technology , 2008 .

[27]  Ahmed Seffah,et al.  Investigating Usability Metrics for the Design and Development of Applications for the Elderly , 2008, ICCHP.

[28]  Ulrik Schroeder,et al.  Application of Qualitative Content Analysis in User-Program Interaction Research , 2005 .

[29]  C. Stephanidis,et al.  Universal Access in Ambient Intelligence Environments , 2008 .

[30]  Martina Ziefle,et al.  The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones , 2002, Behav. Inf. Technol..

[31]  Wolfgang L. Zagler,et al.  Computers Helping People with Special Needs, 12th International Conference, ICCHP 2010, Vienna, Austria, July 14-16, 2010, Proceedings, Part II , 2010, ICCHP.

[32]  Margaret Anderson,et al.  Adjustable gastric banding and conventional therapy for type 2 diabetes: a randomized controlled trial. , 2008, JAMA.

[33]  Andreas Holzinger,et al.  An Investigation on Acceptance of Ubiquitous Devices for the Elderly in a Geriatric Hospital Environment: Using the Example of Person Tracking , 2008, ICCHP.

[34]  Martina Ziefle,et al.  How older adults meet complexity: Aging effects on the usability of different mobile phones , 2005, Behav. Inf. Technol..

[35]  Dyi-Yih Michael Lin,et al.  Age Differences in the Performance of Hypertext Perusal , 2001 .

[36]  Martina Ziefle,et al.  Mental Models of a Cellular Phone Menu. Comparing Older and Younger Novice Users , 2004, Mobile HCI.

[37]  Avi Parush,et al.  Web navigation structures in cellular phones: the depth/breadth trade-off issue , 2004, Int. J. Hum. Comput. Stud..