The experience of living with stroke and using technology: opportunities to engage and co-design with end users

Abstract Purpose: We drew on an interdisciplinary research design to examine stroke survivors’ experiences of living with stroke and with technology in order to provide technology developers with insight into values, thoughts and feelings of the potential users of a to-be-designed robotic technology for home-based rehabilitation of the hand and wrist. Method: Ten stroke survivors and their family carers were purposefully selected. On the first home visit, they were introduced to cultural probe. On the second visit, the content of the probe packs were used as prompt to conduct one-to-one interviews with them. The data generated was analysed using thematic analysis. A third home visit was conducted to evaluate the early prototype. Results: User requirements were categorised into their network of relationships, their attitude towards technology, their skills, their goals and motivations. The user requirements were used to envision the requirements of the system including providing feedback on performance, motivational aspects and usability of the system. Participants’ views on the system requirements were obtained during a participatory evaluation. Conclusion: This study showed that prior to the development of technology, it is important to engage with potential users to identify user requirements and subsequently envision system requirements based on users’ views. Implications for Rehabilitation An understanding of how stroke survivors make sense of their experiences of living with stroke is needed to design home-based rehabilitation technologies. Linking stroke survivors’ goals, motivations, behaviour, feelings and attitude to user requirements prior to technology development has a significant impact on improving the design.

[1]  Catherine E. Lang,et al.  Translating Animal Doses of Task-Specific Training to People With Chronic Stroke in 1-Hour Therapy Sessions: A Proof-of-Concept Study , 2010, Neurorehabilitation and neural repair.

[2]  G. Lewis,et al.  Virtual reality games for rehabilitation of people with stroke: perspectives from the users , 2011, Disability and rehabilitation. Assistive technology.

[3]  Jane Burridge,et al.  A pilot study to investigate the association between muscle activation patterns, wrist tracking performance and upper limb function in post-stroke hemiplegia , 2009 .

[4]  Carolee J. Winstein,et al.  Textbook of Neural Repair and Rehabilitation: Conditions of task practice for individuals with neurologic impairments , 2006 .

[5]  John W Krakauer,et al.  Arm function after stroke: from physiology to recovery. , 2005, Seminars in neurology.

[6]  P. Atkinson,et al.  Making Sense of Qualitative Data: Complementary Research Strategies , 1996 .

[7]  H. Krebs,et al.  Effects of Robot-Assisted Therapy on Upper Limb Recovery After Stroke: A Systematic Review , 2008, Neurorehabilitation and neural repair.

[8]  Brendan Walker,et al.  Cultural probes and the value of uncertainty , 2004, INTR.

[9]  Peter C. Wright,et al.  User-centered design for supporting the self-management of chronic illnesses: an interdisciplinary approach , 2009, PETRA '09.

[10]  Tom H. F. Broens,et al.  Determinants of successful telemedicine implementations: a literature study , 2007, Journal of telemedicine and telecare.

[11]  J. Schaechter Motor rehabilitation and brain plasticity after hemiparetic stroke , 2004, Progress in Neurobiology.

[12]  Peter C. Wright,et al.  Experience-Centered Design: Designers, Users, and Communities in Dialogue , 2010, Experience-Centered Design.

[13]  Huiru Zheng,et al.  Developing a personalised self-management system for post stroke rehabilitation; utilising a user-centred design methodology , 2014, Disability and rehabilitation. Assistive technology.

[14]  Michael Quinn Patton,et al.  Developmental Evaluation: Applying Complexity Concepts to Enhance Innovation and Use , 2010 .

[15]  Maarten J. IJzerman,et al.  Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. , 2006, Journal of rehabilitation research and development.

[16]  M. Patton,et al.  Qualitative evaluation and research methods , 1992 .

[17]  Charles H. Shea,et al.  Spacing practice sessions across days benefits the learning of motor skills , 2000 .

[18]  William W. Gaver,et al.  Design: Cultural probes , 1999, INTR.

[19]  P. Atkinson,et al.  Making sense of qualitative data , 1996 .

[20]  Marc Berg,et al.  Patient care information systems and health care work: a sociotechnical approach , 1999, Int. J. Medical Informatics.

[21]  Alan Cooper,et al.  About Face 3: the essentials of interaction design , 1995 .