Developing Assistive Interventions: Promises and Challenges

Digital interventions have received a great deal of attention from researchers and scholars. Development, implementation, and evaluation of behavior change, and assistive technologies for improved living are being increasingly studied. Assistive technologies in particular have opened up venues for technological advancements for supported living for people with mental and physical disabilities. This chapter is conceptual in nature and discusses the emergence of digital interventions for improved living. Further advancement of a relatively new research field of Persuasive Technology is discussed that is largely related to supporting healthy living. The aim of the chapter is to review early digital interventions and emergence of behavior change and assistive technologies. It highlights potential benefits that could be realized through the use of carefully designed behavior change and assistive technologies. In addition, several key challenges, promises, and pitfalls are briefly outlined. Presented knowledge would help researchers and practitioners in abstracting, designing, and evaluating assistive technologies.

[1]  W. Velicer,et al.  The Transtheoretical Model of Health Behavior Change , 1997, American journal of health promotion : AJHP.

[2]  Sunny Consolvo,et al.  Using the Experience Sampling Method to Evaluate Ubicomp Applications , 2003, IEEE Pervasive Comput..

[3]  E. A. Locke,et al.  Building a practically useful theory of goal setting and task motivation. A 35-year odyssey. , 2002, The American psychologist.

[4]  P. Kraft,et al.  Happy ending: a randomized controlled trial of a digital multi-media smoking cessation intervention. , 2008, Addiction.

[5]  Vittoria Bruni,et al.  Methods and Perspectives in Face Tracking Based on Human Perception , 2014 .

[6]  Nancy Grant Harrington,et al.  The Role of Message Tailoring in the Development of Persuasive Health Communication Messages , 2009 .

[7]  S. Tejaswi Peesapati,et al.  Icon Metaphors for Global Cultures , 2014 .

[8]  BJ Fogg,et al.  Creating persuasive technologies: an eight-step design process , 2009, Persuasive '09.

[9]  Samir Chatterjee,et al.  Viewpoint Paper: Healthy Living with Persuasive Technologies: Framework, Issues, and Challenges , 2009, J. Am. Medical Informatics Assoc..

[10]  Harri Oinas-Kukkonen,et al.  Persuasive Systems Design: Key Issues, Process Model, and System Features , 2009, Commun. Assoc. Inf. Syst..

[11]  Tammy Toscos,et al.  Chick clique: persuasive technology to motivate teenage girls to exercise , 2006, CHI Extended Abstracts.

[12]  Wanda Pratt,et al.  How to evaluate technologies for health behavior change in HCI research , 2011, CHI.

[13]  A. Mihailidis,et al.  Assistive technology for cognitive rehabilitation: State of the art , 2004 .

[14]  MellatiMorteza,et al.  The Impacts of Distance Interactivity on Learners' Achievements in Online Mobile Language Learning , 2015 .

[15]  Lee Humphreys,et al.  It's Time to Eat! Using Mobile Games to Promote Healthy Eating , 2010, IEEE Pervasive Computing.

[16]  P. Olivier,et al.  Keeping In Touch Everyday (KITE) project: developing assistive technologies with people with dementia and their carers to promote independence , 2009, International Psychogeriatrics.

[17]  P. Tyrer,et al.  User involvement in the planning and delivery of mental health services: a cross‐sectional survey of service users and providers , 2003, Acta psychiatrica Scandinavica.

[18]  Julie Maitland,et al.  Technological approaches to promoting physical activity , 2009, OZCHI.

[19]  B. Weiner,et al.  Theories and principles of motivation. , 1996 .

[20]  Peter A. Todd,et al.  Consumer Reactions to Electronic Shopping on the World Wide Web , 1996, Int. J. Electron. Commer..

[21]  Hsiu-Feng Wang,et al.  The Impact of Visual Complexity on Children's Learning Websites in Relation to Aesthetic Preference and Learning Motivation , 2014 .

[22]  Elizabeth Murray,et al.  Web-Based Interventions for Behavior Change and Self-Management: Potential, Pitfalls, and Progress , 2012, Medicine 2.0.

[23]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[24]  A. Bandura.  Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[25]  Yinni Guo.  The Axiomatic Usability Evaluation Method , 2014 .

[26]  Mabel del V. Sosa.  Revision of the Groupware Users Interface Development Methods , 2014 .

[27]  Morteza Mellati,et al.  The Impacts of Distance Interactivity on Learners' Achievements in Online Mobile Language Learning: Social Software and Participatory Learning , 2015, Int. J. Web Based Learn. Teach. Technol..

[28]  Harri Oinas-Kukkonen,et al.  Design of a Web-Based Information System for Sleep Deprivation – A Trial Study , 2012 .

[29]  Michelle G. Craske,et al.  Computer Therapy for the Anxiety and Depressive Disorders Is Effective, Acceptable and Practical Health Care: A Meta-Analysis , 2010, PloS one.

[30]  Luigi Barazzetti,et al.  Multi-Photo Fusion through Projective Geometry , 2014 .

[31]  G Demiris,et al.  Smart Homes and Ambient Assisted Living in an Aging Society , 2008, Methods of Information in Medicine.

[32]  J. Forlizzi,et al.  Intelligent assistive technology applications to dementia care: current capabilities, limitations, and future challenges. , 2009, The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry.

[33]  Michael S. Moore,et al.  A Tale of Two Theories , 2009 .

[34]  M. Hogg,et al.  A tale of two theories: A critical comparison of identity theory with social identity theory , 1995 .

[35]  Fernando Rosell-Aguilar,et al.  Podcasting as a Mobile Learning Technology: A Study of iTunes U Learners , 2015, Int. J. Mob. Blended Learn..

[36]  Harri Oinas-Kukkonen,et al.  Towards Deeper Understanding of Persuasion in Software and Information Systems , 2008, First International Conference on Advances in Computer-Human Interaction.

[37]  Harri Oinas-Kukkonen,et al.  A foundation for the study of behavior change support systems , 2012, Personal and Ubiquitous Computing.

[38]  Valeria Carofiglio,et al.  Portia: A User-Adapted Persuasion System in the Healthy-Eating Domain , 2007, IEEE Intelligent Systems.

[39]  Yosry Morsi,et al.  Optimizing Assistive Technologies for Aging Populations , 2015 .

[40]  Sari Kujala,et al.  User involvement: A review of the benefits and challenges , 2003, Behav. Inf. Technol..

[41]  Stephen S. Intille,et al.  A new research challenge: persuasive technology to motivate healthy aging , 2004, IEEE Transactions on Information Technology in Biomedicine.

[42]  Ehud Reiter,et al.  Lessons from a failure: Generating tailored smoking cessation letters , 2003, Artif. Intell..

[43]  Brian Magerko,et al.  Designing for Persuasion: Toward Ambient Eco-Visualization for Awareness , 2010, PERSUASIVE.

[44]  Mitsuo Kawato,et al.  Brain-Machine Interface Using Brain Surface Electrodes: Real-Time Robotic Control and a Fully Implantable Wireless System , 2013 .

[45]  P. Dario,et al.  Supporting active and healthy aging with advanced robotics integrated in smart environment , 2016 .

[46]  Dance and Movement as Therapy for Children with Autism Spectrum Disorders (ASD): A Case for Kuching, Sarawak , 2015 .

[47]  Pedro Isaias,et al.  Human-Computer Interfaces and Interactivity: Emergent Research and Applications , 2014 .

[48]  Samir Chatterjee,et al.  A Design Science Research Methodology for Information Systems Research , 2008 .

[49]  Victoria Interrante,et al.  User Studies: Why, How, and When? , 2003, IEEE Computer Graphics and Applications.

[50]  Francisco Vicente Cipolla-Ficarra.  Advanced Research and Trends in New Technologies, Software, Human-Computer Interaction, and Communicability , 2013 .

[51]  D. Revere,et al.  Review of Computer-generated Outpatient Health Behavior Interventions: , 2001 .

[52]  Lau Bee Theng.  Assistive Technologies for Physical and Cognitive Disabilities , 2014 .

[53]  Henry C. Alphin.  Accessibility Implementation for Disabled Students in PMBOLD Environments , 2013 .

[54]  David W. McDonald,et al.  Theory-driven design strategies for technologies that support behavior change in everyday life , 2009, CHI.

[55]  Izak Benbasat,et al.  HCI Research: Future Challenges and Directions , 2010 .

[56]  Alan VanBiervliet,et al.  Internet delivered behavioral obesity treatment. , 2010, Preventive medicine.

[57]  A. Barak,et al.  Defining Internet-Supported Therapeutic Interventions , 2009, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[58]  Patricia Flatley Brennan,et al.  Factors affecting home care patients' acceptance of a web-based interactive self-management technology , 2011, J. Am. Medical Informatics Assoc..

[59]  Kieran Delaney,et al.  Micro and nano technology enabling ambient intelligence for P-Health. , 2005, Studies in health technology and informatics.

[60]  Pim Cuijpers,et al.  Effectiveness of a Web-Based Self-Help Intervention for Symptoms of Depression, Anxiety, and Stress: Randomized Controlled Trial , 2008, Journal of medical Internet research.

[61]  Weimo Zhu,et al.  Promoting Physical Activity Through Internet: A Persuasive Technology View , 2007, PERSUASIVE.

[62]  Michael Rigby,et al.  Applying emergent ubiquitous technologies in health: The need to respond to new challenges of opportunity, expectation, and responsibility , 2007, Int. J. Medical Informatics.

[63]  S. Koch,et al.  On Health-enabling and Ambient-assistive Technologies , 2009, Methods of Information in Medicine.

[64]  Jean Scholtz,et al.  Toward a Framework for Evaluating Ubiquitous Computing Applications , 2004, IEEE Pervasive Comput..

[65]  Harri Oinas-Kukkonen,et al.  Managing Depression through a Behavior Change Support System without Face-to-Face Therapy , 2014, PERSUASIVE.

[66]  P. Verbeek,et al.  Ambient Intelligence and Persuasive Technology: The Blurring Boundaries Between Human and Technology , 2009, Nanoethics.

[67]  Patricio A. Vela,et al.  Communication Technologies for Older Adults in Retirement Communities , 2014 .

[68]  G. Eysenbach.  What is e-health? , 2001, Journal of Medical Internet Research.

[69]  David W. McDonald,et al.  Activity sensing in the wild: a field trial of ubifit garden , 2008, CHI.

[70]  Pedro Isaias,et al.  Emerging Research and Trends in Interactivity and the Human-Computer Interface , 2013 .