On the Effect of Previous Technological Experience on the Usability of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders

We present and discuss our findings on the identified causes for the differences of the results of two usability studies on the borrowed use of Gesture Therapy, a virtual rehabilitation tool for the cognitive stimulation and physical activation of elders. The studies focused on usability aspects including perceived usefulness, ease of use, intention of use and user experience. In the first study, we used self-report techniques to gather data, and found that previous technological experience had a significant effect on the perceived anxiety of elders; while on the second study, we used indirect observation techniques to gather data, and found that previous technological experience had a significant effect on the perceived enjoyment of elders. After a further analysis of the video recordings of the playing sessions, we identified that elders developed two different approaches to their using the application (explore-and-learn and score-and-compete), which could be related to their previous technological experience, and explain the identified differences. We observed that in the presence of problems, the response of participants was different depending on the adopted behavior. Based on this evidence, we distilled a set of preliminary guidelines to foster or inhibit certain behaviors and outcomes related to the effect of previous experience that were observed during our evaluation studies of virtual tools for the cognitive stimulation and physical activation of the elderly.

[1]  Lixiang Li,et al.  An Enhanced Biometric-Based Authentication Scheme for Telecare Medicine Information Systems Using Elliptic Curve Cryptosystem , 2015, Journal of Medical Systems.

[2]  Michael R. Roman,et al.  Preface: Biogeochemistry–ecosystem interaction on changing continental margins in the Anthropocene , 2015 .

[3]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[4]  Felipe Orihuela-Espina,et al.  Patient Tailored Virtual Rehabilitation , 2013 .

[5]  Felipe Orihuela-Espina,et al.  Neural Reorganization Accompanying Upper Limb Motor Rehabilitation from Stroke with Virtual Reality-Based Gesture Therapy , 2013, Topics in stroke rehabilitation.

[6]  FisherCarolanne,et al.  Exploratory sequential data analysis , 1993 .

[7]  A. Raz,et al.  Training the brain: Fact and fad in cognitive and behavioral remediation , 2012, Brain and Cognition.

[8]  Alberto L. Morán,et al.  Revisiting the User Experience of a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders , 2014, IWAAL.

[9]  Hao Wang,et al.  An Adaptive Hidden Markov Model for Activity Recognition Based on a Wearable Multi-Sensor Device , 2015, Journal of Medical Systems.

[10]  Alberto L. Morán,et al.  UCSA: a design framework for usable cognitive systems for the worried-well , 2012, Personal and Ubiquitous Computing.

[11]  Gary Humphreys,et al.  The health-care challenges posed by population ageing. , 2012, Bulletin of the World Health Organization.

[12]  Jesús Fontecha,et al.  A Mobile and Ubiquitous Approach for Supporting Frailty Assessment in Elderly People , 2013, Journal of medical Internet research.

[13]  Mariano Alcañiz Raya,et al.  Cognition, technology and games for the elderly: An introduction to ELDERGAMES Project , 2006, PsychNology J..

[14]  J. Becker,et al.  stimulation in Alzheimer's disease an interactive, multimedia tool of cognitive A randomised pilot study to assess the efficacy of , 2009 .

[15]  L. Cohen,et al.  Effectiveness of Virtual Reality Exercises in STroke Rehabilitation (EVREST): Rationale, Design, and Protocol of a Pilot Randomized Clinical Trial Assessing the Wii Gaming System , 2010, International journal of stroke : official journal of the International Stroke Society.

[16]  Gustavo Saposnik,et al.  iPad Technology for Home Rehabilitation after Stroke (iHOME): A Proof-of-Concept Randomized Trial , 2014, International journal of stroke : official journal of the International Stroke Society.

[17]  Felipe Orihuela-Espina,et al.  A design framework for arcade-type games for the upper-limb rehabilitation , 2015, 2015 International Conference on Virtual Rehabilitation (ICVR).

[18]  Alberto L. Morán,et al.  New Developments in the Gesture Therapy Platform - Past, Present and Future of our Research , 2013, NEUROTECHNIX.

[19]  L. Enrique Sucar,et al.  Gesture therapy: A vision-based system for upper extremity stroke rehabilitation , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.

[20]  Alberto L. Morán,et al.  Borrowing a Virtual Rehabilitation Tool for the Physical Activation and Cognitive Stimulation of Elders , 2013, CLIHC.

[21]  L. Vygotsky Interaction between learning and development , 1978 .

[22]  S. Gauthier,et al.  Training-related brain plasticity in subjects at risk of developing Alzheimer's disease. , 2011, Brain : a journal of neurology.

[23]  D. Kwon,et al.  The effects of cognitive training on community-dwelling elderly Koreans. , 2009, Journal of psychiatric and mental health nursing.

[24]  Penelope M. Sanderson,et al.  Exploratory Sequential Data Analysis: Foundations , 1994, Hum. Comput. Interact..

[25]  Leena Arhippainen,et al.  Empirical Evaluation of User Experience in two Adaptive Mobile Application Prototypes , 2003 .

[26]  M. Levin Can virtual reality offer enriched environments for rehabilitation? , 2011, Expert review of neurotherapeutics.

[27]  Antonio F. Gómez-Skarmeta,et al.  An internet of things–based personal device for diabetes therapy management in ambient assisted living (AAL) , 2011, Personal and Ubiquitous Computing.

[28]        Global prevalence of dementia: a Delphi consensus study , 2006 .

[29]  Cristina Buiza,et al.  Efficacy of Cognitive Training Experiences in the Elderly: Can Technology Help? , 2009, HCI.

[30]  L. Enrique Sucar,et al.  Clinical evaluation of a low-cost alternative for stroke rehabilitation , 2009, 2009 IEEE International Conference on Rehabilitation Robotics.

[31]  Jean-Christophe Lapayre,et al.  A Tool for Telediagnosis of Cardiovascular Diseases in a Collaborative and Adaptive Approach , 2013, J. Univers. Comput. Sci..

[32]  Arthur D. Fisk,et al.  Understanding age and technology experience differences in use of prior knowledge for everyday technology interactions , 2012, TACC.

[33]  David J. Reinkensmeyer,et al.  Gesture Therapy: An Upper Limb Virtual Reality-Based Motor Rehabilitation Platform , 2014, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[34]  M. Levin,et al.  Virtual Reality in Stroke Rehabilitation: A Meta-Analysis and Implications for Clinicians , 2011, Stroke.