Stakeholder Attitudes Toward and Values Embedded in a Sensor-Enhanced Personal Emergency Response System

This paper provides an empirical understanding of concerns that the application of a sensorenhanced medical alert system, or personal emergency response (PER) system, raises from the perspective of care receivers (users) and care providers. Data were gathered in the context of a field trial of a PER system supporting both user-initiated alerts and automatic fall detection alerts. The system was tested at two residential care facilities for 3 weeks. Drawing on data primarily from post-trial group and pair interviews, we describe and compare care receivers’ and providers’ views on the following emerging concerns: (i) form factor and ergonomics, (ii) system feedback and user control and (iii) sensor precision and trust. Based on feedback from stakeholder groups, we discuss potential value biases, or discriminating factors, embedded in the evaluated PER system. We also discuss the implications of our findings for a value-driven design agenda for future PER systems.

[1]  Leire Narvaiza,et al.  Innovations in health care services: The CAALYX system , 2013, Int. J. Medical Informatics.

[2]  Kristine Holbø,et al.  Safe walking technology for people with dementia: what do they want? , 2013, ASSETS.

[3]  Sever Pasca,et al.  Fall detection system for elderly with GSM communication and GPS localization , 2013, 2013 8TH INTERNATIONAL SYMPOSIUM ON ADVANCED TOPICS IN ELECTRICAL ENGINEERING (ATEE).

[4]  Senem Velipasalar,et al.  Automatic Fall Detection and Activity Classification by a Wearable Embedded Smart Camera , 2013, IEEE Journal on Emerging and Selected Topics in Circuits and Systems.

[5]  Joel J. P. C. Rodrigues,et al.  Towards an autonomous fall detection and alerting system on a mobile and pervasive environment , 2011, Telecommunication Systems.

[6]  Stefano Cagnoni,et al.  Multi-sensor system for detection and classification of human activities , 2011, Journal of Ambient Intelligence and Humanized Computing.

[7]  Victor M. Ruiz Penichet,et al.  Automatic Detection of Falls and Fainting , 2013, J. Univers. Comput. Sci..

[8]  Alan F. Smeaton,et al.  Combining wearable sensors for location-free monitoring of gait in older people , 2012, J. Ambient Intell. Smart Environ..

[9]  Kristine Holbø,et al.  Value biases of sensor-based assistive technology: case study of a GPS tracking system used in dementia care , 2012, DIS '12.

[10]  P. Olivier,et al.  Empathy, participatory design and people with dementia , 2012, CHI.

[11]  Alan Borning,et al.  Next steps for value sensitive design , 2012, CHI.

[12]  Athena McLean,et al.  Ethical frontiers of ICT and older users: cultural, pragmatic and ethical issues , 2011, Ethics and Information Technology.

[13]  Andreu Català,et al.  Fall algorithm development using kinematic parameters measured from simulated falls performed in a quasi-realistic environment using accelerometry , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  Alessandro Leone,et al.  Detecting falls with 3D range camera in ambient assisted living applications: a preliminary study. , 2011, Medical engineering & physics.

[15]  Fahri Yetim,et al.  Bringing Discourse Ethics to Value Sensitive Design: Pathways toward a Deliberative Future , 2011 .

[16]  Carol S. Jones Person-centered care. The heart of culture change. , 2011, Journal of gerontological nursing.

[17]  Jacob O. Wobbrock,et al.  In the shadow of misperception: assistive technology use and social interactions , 2011, CHI.

[18]  Noëmi Manders-Huits,et al.  What Values in Design? The Challenge of Incorporating Moral Values into Design , 2010, Sci. Eng. Ethics.

[19]  Gillian R. Hayes,et al.  Disability studies as a source of critical inquiry for the field of assistive technology , 2010, ASSETS '10.

[20]  Ashrafuddin Mohammed,et al.  Smart Carpet: Developing a sensor system to detect falls and summon assistance. , 2010, Journal of gerontological nursing.

[21]  Andreas Komninos,et al.  Designing with Care: The Future of Pervasive Healthcare , 2009, IEEE Pervasive Computing.

[22]  Susan Wyche,et al.  Values as lived experience: evolving value sensitive design in support of value discovery , 2009, CHI.

[23]  M. Flanagan,et al.  Embodying values in technology: Theory and practice , 2008 .

[24]  Marion Hersh,et al.  Disability and Assistive Technology Systems , 2008 .

[25]  Katie Brittain,et al.  Balancing rights and risks: Conflicting perspectives in the management of wandering in dementia , 2007 .

[26]  Bart Jansen,et al.  Context aware inactivity recognition for visual fall detection , 2006, 2006 Pervasive Health Conference and Workshops.

[27]  Arlene Astell,et al.  Technology and personhood in dementia care , 2006 .

[28]  Mark Blythe,et al.  Socially dependable design: The challenge of ageing populations for HCI , 2005, Interact. Comput..

[29]  Jacquie Ripat,et al.  Characteristics of assistive technology service delivery models: stakeholder perspectives and preferences , 2005, Disability and rehabilitation.

[30]  T. Epp Person-centred Dementia Care: A Vision to be Refined , 2003 .

[31]  P. H. Kahn,et al.  Human values, ethics, and design , 2002 .

[32]  Alan Borning,et al.  Value Sensitive Design: Theory and Methods , 2002 .

[33]  Klaus Kuhn,et al.  Problems and Benefits of Requirements Gathering With Focus Groups: A Case Study , 2000, Int. J. Hum. Comput. Interact..

[34]  L. Flicker Dementia Reconsidered: the Person Comes First , 1999, BMJ.

[35]  Richard Martin,et al.  Design for wearability , 1998, Digest of Papers. Second International Symposium on Wearable Computers (Cat. No.98EX215).

[36]  Jonathan Grudin,et al.  Trust and accountability: preserving human values in interactional experience , 1998, CHI Conference Summary.

[37]  Helen Nissenbaum,et al.  Bias in computer systems , 1996, TOIS.

[38]  N. Postman,et al.  Technopoly: The Surrender of Culture to Technology , 1993 .

[39]  J. Ellul The Technological Bluff , 1990 .

[40]  M. Lawton,et al.  Excess disabilities of mentally impaired aged: impact of individualized treatment. , 1971, The Gerontologist.