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Adaptation Technologies to Support Daily Living for All

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User Modeling and Adaptation for Daily Routines

Abstract

The goal of this chapter is to bring light about how adaptation technologies can ease daily living for people with special needs. Assistive technologies, adaptive systems and context-aware applications are three well-established research areas whose findings can be interestingly merged. In particular, adaptation methods and techniques support the adaptation of existing software to better suit each user’s need. In the last years, the need of building applications that allow the inclusion of people with special needs in different fields has been emphasized. Along this chapter, we present different research works that contribute to the integration of this collective, by providing means to support either their personal development or the accomplishment of their daily tasks. The technological solutions chosen for this chapter are mainly related to three areas of application: activities of daily living, health and education. This chapter also summarizes the most widely used adaptation features and processes in this context.

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References

  1. Aarts E, de Ruyter B (2009) New research perspectives on Ambient Intelligence. J Ambient Intell Smart Environ 1(1):5–14

    Google Scholar 

  2. Ahmed S, Sharmin M, Ahamed SI (2008) Ubi-App a ubiquitous application for universal access from handheld devices. Univers Access Info Soc 7(4):273–283

    Article  Google Scholar 

  3. Anglés-Alcazar L, Haya PA, Carro R (2010) WAI-ROUTES: a route-estimator system for aiming public transportation users with cognitive impairments. In: Proceedings of the sixth IASTED international conference advances in computer science and engineering (ACSE 2010), Sharm El-Sheikh, 15–17 March, pp 167–174

    Google Scholar 

  4. Aubrey C, Dahl S (2008) A review of the evidence on the use of ICT in the early years foundation stage. Early Childhood Research Unit, Institute of Education, University of Warwick

    Google Scholar 

  5. Augusto JC (2012) Smart homes as a vehicle for AAL. In: Augusto JC, Huch M, Kameas A, Maitland J, McCullagh P, Roberts J, Sixsmith A, Wichert R (eds) Handbook of ambient assisted living – technology for healthcare, rehabilitation and well-being. IOS Press BV, Amsterdam, Netherlands, pp 387–388

    Google Scholar 

  6. Binsted K, Cawsey A, Jones RB (1995) Generating personalised information using the medical record. In: Wyatt JC, Stefanelli M, Barahona P (eds) Lecture notes in computer science, vol 934. Springer, Heidelberg, pp 29–41

    Google Scholar 

  7. Biswas P, Robinson P (2008) Modelling user interfaces for special needs. Accessible Design in the Digital World (ADDW) 2008, York

    Google Scholar 

  8. Blanck HM, Gillespie C, Kimmons JE, Seymour JD, Serdula MK (2008) Trends in fruit and vegetable consumption among U.S. men and women, 1994–2005. Prev Chronic Dis 5(2):A35

    Google Scholar 

  9. Boisvert A, Paquette L, Pigot H, Giroux S (2009) Design challenges for mobile assistive technologies applied to people with cognitive impairments. In: Mokhtari M, Khalil I, Bauchet J, Zhang D, Nugent C (eds) Proceedings of the 7th international conference on smart homes and health telematics: ambient assistive health and wellness management in the heart of the City (ICOST ’09). Springer, Berlin/Heidelberg, pp 17–24

    Chapter  Google Scholar 

  10. Brajnik G (2006) Web accessibility testing: when the method is the culprit. In: Miesenberger K, Klaus J, Zagler W, Karshmer A (eds) Computers helping people with special needs. Lecture notes in computer science, vol 4061. Springer, Berlin/Heidelberg, pp 156–163

    Chapter  Google Scholar 

  11. Brusilovsky P (2001) Adaptive hypermedia. In: Kobsa A (ed) User modeling and user adapted interaction. Ten Year Anniversary Issue 11 (1/2):87–110

    Google Scholar 

  12. Brusilovsky P, Millán E (2007) User models for adaptive hypermedia and adaptive educational systems. In: The adaptive web: methods and strategies of personalization. Lecture notes in computer science, vol 4321. Springer, Berlin/Heidelberg, pp 3–53

    Google Scholar 

  13. Brusilovsky P, Schwarz EW, Weber G (1996) ELM-ART: an intelligent tutoring system on world wide web. In: Intelligent tutoring systems. Lecture notes in computer science, vol 1086. Springer, Berlin, pp 261–269

    Chapter  Google Scholar 

  14. Burke R (2002) Hybrid recommender systems: survey and experiments. User Model User Adapt Interact 12(4):331–370, Kluwer Academic Publisher

    Article  MATH  Google Scholar 

  15. Cabas Vidani A, Chittaro L (2009) Using a task modeling formalism in the design of serious games for emergency medical procedures. In: Proceedings of VS-GAMES’09: IEEE first international conference on games and virtual Worlds for Serious Applications. IEEE Computer Society Press, Los Alamitos, pp 95–102

    Google Scholar 

  16. Carbonell N (2006) Ambient multimodality: towards advancing computer accessibility and assisted living. Univers Access Info Soc 5(1):96–104

    Article  MathSciNet  Google Scholar 

  17. Carmien S (2005) End user programming and context responsiveness in handheld prompting systems for persons with cognitive disabilities and caregivers. In: Proceedings of ACM conference on computer-human interaction. Portland, pp 1252–1255

    Google Scholar 

  18. Carmien S, Dawe M, Fischer G, Gorman A, Kintsch A, Sullivan JF (2005) Socio-technical environments supporting people with cognitive disabilities using public transportation. ACM Trans Comput Hum Interact 12(2):233–262

    Article  Google Scholar 

  19. Carro RM, Ortigosa A, Martín E, Schlichter J (2003) Dynamic generation of adaptive web-based collaborative courses. In: Decouchant D, Favela J (eds) Groupware: design, implementation and use. Lecture notes in computer science, vol 2806. Springer, Berlin/Heidelberg, pp 191–198

    Chapter  Google Scholar 

  20. Carro RM, Pulido E, Rodríguez P (1999) Dynamic generation of adaptive internet-based courses. J Netw Comput Appl 22:249–257, Academic Press

    Article  Google Scholar 

  21. Casas R, Blasco R, Robinet A, Roy A, Yarza A, Mcginn J, Picking R, Grout V (2008) User modelling in ambient intelligence for elderly and disabled people. In: Miesenberger K, Klaus J, Zagler W, Karshmer A (eds) Proceedings of the 11th international conference on Computers Helping People with Special Needs (ICCHP ’08). Springer, Berlin/Heidelberg, pp 114–122

    Google Scholar 

  22. Cawsey A, Jones RB, Pearson J (2001) The evaluation of a personalized health information system for patients with cancer. User Model User Adapt Interact 10(1):47–72

    Article  Google Scholar 

  23. Chang YJ, Wang TY (2010) Comparing picture and video prompting in autonomous indoor wayfinding for individuals with cognitive impairments. Pers Ubiquitous Comput 14(8):737–747

    Article  Google Scholar 

  24. Chittaro L, Carchietti E, De Marco L, Zampa A (2011) Personalized emergency medical assistance for disabled people. User Model User Adapt Interact 21(4):407–440

    Article  Google Scholar 

  25. Consolvo S, Roessler P, Shelton B, Lamarca A, Schilit B, Bly S (2004) Technology for care networks of elders. IEEE Pervasive Comput 3(2):22–29

    Article  Google Scholar 

  26. Cook DJ, Das SK (2005) Smart environments: technologies, protocols, and applications. Wiley, New Jersey

    Google Scholar 

  27. Corlett D, Sharples M, Bull S, Chan T (2005) Evaluation of a mobile learning organiser for university students. J Comput Assist Learn 21(3):162–170

    Article  Google Scholar 

  28. Cozzolongo G, De Carolis B, Pizzutilo S (2007) Social robots as mediators between users and smart environments. In: Proceedings of the 12th international conference on intelligent user interfaces (IUI ’07). ACM, New York, pp 353–356

    Google Scholar 

  29. Cremers A, Neerincx M (2004) Personalisation meets accessibility: towards the design of individual user interfaces for all. In: Stary C, Stephanidis C (eds) User-centered interaction paradigms for universal access in the information society. Lecture notes in computer science, vol 3196. Springer, Berlin/Heidelberg, pp 119–124

    Chapter  Google Scholar 

  30. Davies D, Stock S, Wehmeyer M (2002) Enhancing independent task performance for individuals with mental retardation through use of a handheld self-directed visual and audio prompting system. Educ Train Ment Retard Dev Disabil 37(2):209–218

    Google Scholar 

  31. Davis S, Abidi SSR (2006) Adaptive patient education framework featuring personalized cardiovascular risk management interventions. In: Wade VP, Ashman H, Smyth B (eds) Proceedings of adaptive hypermedia 2006. Lecture notes in computer science, vol 4018. Springer, Heidelberg, pp 264–268

    Google Scholar 

  32. De Bra P, Aerts A, Berden B, De Lange B, Rousseau B, Santic T, Smits D, Stash N (2003) AHA! The adaptive hypermedia architecture. In: Proceedings of the 14th ACM conference on hypertext and hypermedia. ACM Press, New York, pp 81–84

    Google Scholar 

  33. De Carolis B (2005) Adapting home behavior to its inhabitants. In: Ardissono L, Brna P, Mitrovic A (eds) Proceedings of the 10th international conference on User Modeling (UM’05), Springer, Berlin/Heidelberg, pp 282–286

    Google Scholar 

  34. De Joode E, van Heugten C, Verhey F, van Boxtel M (2010) Efficacy and usability of assistive technology for patients with cognitive deficits: a systematic review. Clin Rehabil 24:701–714

    Article  Google Scholar 

  35. De Rosis F, Novielli N, Carofiglio V, Cavalluzzi A, De Carolis B (2006) User modeling and adaptation in health promotion dialogs with an animated character. J Biomed Inform 39:514–531

    Article  Google Scholar 

  36. Del Blanco A, Torrente J, Moreno-Ger P, Fernández-Manjón B (2011) Enhancing adaptive learning and assessment in virtual learning environments with educational games. In: Jin Q (ed) IJDET – intelligent learning systems and advancements in computer-aided instruction: emerging studies. IGI Global, Hershey, Pennsylvania, USA, pp 144–163

    Google Scholar 

  37. Felder RM (1996) Matters of style. ASEE Prism 6(4):18–23

    Google Scholar 

  38. Fickas S, Sohlberg M, Hung P (2008) Route-following assistance for travelers with cognitive impairments: a comparison of four prompt modes. Int J Hum Comput Stud 66(12):876–888

    Article  Google Scholar 

  39. Fink J, Kobsa A, Nill A (1998) Adaptable and adaptive information provision for all users, including disabled and elderly people. New Rev Hypermedia Multimed 4(1):163–188

    Article  Google Scholar 

  40. Fischer G (2001) User modeling in human-computer interaction. User Model User Adapt Interact 11(1–2):65–86

    Article  MATH  Google Scholar 

  41. Fong T, Nourbakhsh I, Dautenhahn K (2003) A survey of socially interactive robots. Robot Autonom Syst 42(3–4):143–166

    Article  MATH  Google Scholar 

  42. Freyne J, Berkovsky S (2010) Recommending food: reasoning on recipes and ingredients. In: De Bra P, Kobsa A,Chin D (eds) Proceedings of the 18th international conference on user modeling, adaptation, and personalization. Lecture notes in computer science, vol 6075. Springer, Berlin/Heidelberg, pp 381–386

    Google Scholar 

  43. Friedman MG, Nelson BD (2007) Web accessibility design recommendations for people with cognitive disabilities. Technol Disabil 19(4):205–212, IOS Press

    Google Scholar 

  44. García-Herranz M, Olivera F, Haya PA, Alamán X (2012) Harnessing the interaction continuum for subtle assisted living. Sensors 12(7):9829–9846

    Article  Google Scholar 

  45. Gaudioso E, Boticario JG (2002) Supporting personalization in virtual communities in distance education. Ser Innov Intell 1:327–362, World Scientific

    Google Scholar 

  46. Gea-Megías M, Medina-Medina N, Rodríguez-Almendros ML, Rodríguez-Fórtiz MJ (2004) Sc@ut: platform for communication in ubiquitous and adaptive environments applied for children with Autism, User-centered interaction paradigms for universal access in the information society. Springer, Berlin/Heidelberg, pp 50–67

    Google Scholar 

  47. Gillespie A, Best C, O’Neill B (2012) Cognitive function and assistive technology for cognition: a systematic review. J Int Neuropsychol Soc 18:1–19

    Article  Google Scholar 

  48. Golbeck J, Robles C, Turner K (2011) Predicting personality with social media. In: Proceedings of the conference on human factors in computing systems (CHI). Vancouver, 7–12 May 2011, pp 253–262

    Google Scholar 

  49. Gómez J, Montoro G, Haya PA, Alamán X, Alves S, Martínez M (2012) Adaptive manuals as assistive technology to support and train people with acquired brain injury in their daily life activities. Personal and ubiquitous computing. Springer, London

    Google Scholar 

  50. González A, Carro RM, Haya PA (2012) Where should I go? Guiding users with cognitive limitations through mobile devices outdoors. In: Proceedings of the international conference Interaccion 2012. Elche

    Google Scholar 

  51. Gregor P, Newell AF, Zajicek M (2002) Designing for dynamic diversity: interfaces for older people. In: Proceedings of the fifth international ACM conference on assistive technologies (Assets ’02). ACM, New York, pp 151–156

    Google Scholar 

  52. Helal A, Mokhtari M, Abdulrazak B (2008) The engineering handbook of smart technology for aging, disability and independence. John Wiley & Sons Inc., Hoboken, New Jersey, USA

    Book  Google Scholar 

  53. Kaufman AS, Lichtenberger E (2006) Assessing adolescent and adult intelligence, 3rd edn. Wiley, Hoboken

    Google Scholar 

  54. Kay J (2008) Lifelong learner modeling for lifelong personalized pervasive learning. IEEE Trans Learn Technol 1(4):215–228, IEEE Computer Society Press Los Alamitos, CA, USA

    Article  MathSciNet  Google Scholar 

  55. Keates S (2009) Inclusive design for ordinary users in extraordinary circumstances. In: Proceedings of 5th international conference on universal access in HCI. San Diego, pp 525–534

    Google Scholar 

  56. Keates S, Adams R, Bodine C, Czaja S, Gordon W, Gregor P, Hacker E, Hanson V, Kemp J, Laff M, Lewis C, Pieper M, Richards J, Rose D, Savidis A, Schultz G, Snayd P, Trewin S, Varker P (2007) Cognitive and learning difficulties and how they affect access to IT systems. Univers Access Inf Soc 5(4):329–339

    Article  Google Scholar 

  57. Keates S, Langdon P, Clarkson PJ, Robinson P (2002) User models and user physical capability. User Model User Adapt Interact 12(2–3):139–169

    Article  MATH  Google Scholar 

  58. Kheir R, Way T (2007) Inclusion of deaf students in computer science classes using real-time speech transcription. In: Proceedings of the 12th annual SIGCSE conference on innovation and technology in computer science education. ACM, New York, pp 261–265

    Google Scholar 

  59. Kleinberger T, Becker M, Ras E, Holzinger A, Müller P (2007) Ambient intelligence in assisted living: enable elderly people to handle future interfaces. In: Stephanidis C (ed) Proceedings of the 4th international conference on universal access in human-computer interaction: ambient interaction. Springer, Berlin/Heidelberg, pp 103–112

    Chapter  Google Scholar 

  60. Konecki M, Lovrencic A, Kudelic R (2011) Making programming accessible to the blinds. In: Proceedings of the 34th international convention. Croatian society for information and communication technology, electronics and microelectronics – MIPRO, Croatia, pp 820–824

    Google Scholar 

  61. Kurhila J, Varjola H (2002) Using adaptive hypermedia to evaluate basic arithmetic skills in special education. In: Proceedings of the 8th international conference on computers helping people with special needs table of contents. Lecture notes in computer science, vol 2398. Springer, London, pp 98–106

    Google Scholar 

  62. Lancioni GE, O’Reilly MF (2002) Teaching food preparation skills to people with intellectual disabilities: a literature overview. J Appl Res Intellect Disabil 15(3):236–253

    Article  Google Scholar 

  63. Lindgren H (2007) Decision support in dementia care: developing systems for interactive reasoning. Thesis, computer science, Umeå University, UMINF, 07.02 (2007). http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-1138. Last access Aug 2012

  64. Lindgren H (2011) Towards personalized decision support in the dementia domain based on clinical practice guidelines. User Model User Adapt Interact 21(4–5):377–406

    Article  Google Scholar 

  65. Liu AL, Hile H, Borriello G, Brown PA, Harniss M, Kautz H, Johnson K (2009) Customizing directions in an automated wayfinding system for individuals with cognitive impairment. In: Proceedings of the 11th international ACM SIGACCESS conference on computers and accessibility. ACM, New York, pp 27–34

    Google Scholar 

  66. López Nores M, Blanco-Fernández Y, Pazos Arias JJ, García Duque J (2012) The iCabiNET system: harnessing electronic health record standards from domestic and mobile devices to support better medication adherence. Comput Stand Interfaces 34(1):109–116

    Article  Google Scholar 

  67. López Nores M, Blanco-Fernández Y, Pazos Arias JJ, Gil-Solla A (2012) Property-based collaborative filtering for health-aware recommender systems. Expert Syst Appl 39(8):7451–7457

    Article  Google Scholar 

  68. LoPresti EF, Mihailidis A, Kirsch N (2004) Assistive technology for cognitive rehabilitation: state of the art. Neuropsychol Rehabil 14:5–39

    Article  Google Scholar 

  69. Martín E, Calvo S, Carro RM (2010) An adaptive game to train users with special needs to make decisions: using public transportation. In: Adjunct proceedings of the 18th international conference on user modeling, adaptation, and personalization. Big Island of Hawaii, 20–24 June 2010, pp 25–27

    Google Scholar 

  70. Martín E, Carro RM (2009) Supporting the development of mobile adaptive learning environments: a case study. IEEE Trans Learn Technol 2(1):23–36

    Article  Google Scholar 

  71. Martín JM, Ortigosa A, Carro RM (2012) SentBuk: sentiment analysis for e-learning environments. In: Proceedings of the XIV international symposium on computers in education. Andorra, Oct 2012, pp 277–282

    Google Scholar 

  72. Mechling LC (2007) Assistive technology as a self-management tool for prompting students with intellectual disabilities to initiate and complete daily tasks: a literature review. Educ Train Dev Disabil 42(3):252–269

    Google Scholar 

  73. Mohan R, Smith JR, Li C (1999) Adapting multimedia internet content for universal access. IEEE Transact Multimed 1:104–114

    Article  Google Scholar 

  74. Moreno-Ger P, Sancho P, Martínez-Ortiz I, Sierra JL, Fernández-Manjón B (2007) Adaptive units of learning and educational videogames. J Interact Media Educ. North America. Available at: http://www-jime.open.ac.uk/jime/article/view/2007-5. Date accessed: 12 Dec. 2012

    Google Scholar 

  75. Nakashima H, Aghajan H, Augusto JC (2010) Handbook of ambient intelligence and smart environments. Springer Science + Business Media, LLC., New York, USA

    Book  Google Scholar 

  76. Nicolle C, Abascal J (2001) Inclusive design guidelines for HCI. Taylor & Francis, London

    Google Scholar 

  77. O’Neill B, Gillespie A (2008) Simulating naturalistic instruction: the case for a voice mediated interface for assistive technology for cognition. J Assist Technol 2:22–31

    Article  Google Scholar 

  78. Ortigosa A, Paredes P, Rodríguez P (2010) AH-questionnaire: an adaptive hierarchical questionnaire for learning styles. Comput Educ 54(4):999–1005

    Article  Google Scholar 

  79. Ortigosa A, Quiroga JI, Carro RM (2011) Inferring user personality in social networks: a case study in facebook. In: Proceedings of the 11th international conference on intelligent systems design and applications. Córdoba, Nov 2011, pp 563–568

    Google Scholar 

  80. Pang B, Lee L (2008) Opinion mining and sentiment analysis. Found Trends Info Retr 2(1–2):1–135

    Article  Google Scholar 

  81. Patterson DJ, Liao L, Gajos K, Collier M, Livic N, Olson K, Wang S, Fox D, Kautz H (2004) Opportunity knocks: a system to provide cognitive assistance with transportation services. UbiComp 2004: Ubiquitous Computing, pp 433–450

    Google Scholar 

  82. Pereira BO, Expedito C, Firmino De Faria F, Vivacqua AS (2011) Designing a game controller for motor impaired players. In: Proceedings of the 10th Brazilian symposium on human factors in computing systems and the 5th Latin American conference on human-computer interaction. Brazilian Computer Society, Porto Alegre, pp 267–271

    Google Scholar 

  83. Quade M, Lehmann G, Blumendorf M, Roscher D, Albayrak S (2011) Evaluating user interface adaptations at runtime by simulating user interaction. BCS HCI 2011:497–502

    Google Scholar 

  84. Reena Sharma F, Geetanjali Wasson S (2012) Speech recognition and synthesis tool: assistive technology for physically disabled persons. Int J Comput Sci Telecommun 3(4):86–91

    Google Scholar 

  85. Repenning A, Ioannidou A (2006) Mobility agents: guiding and tracking public transportation users. In: AVI ’06: proceedings of the working conference on advanced visual interfaces. ACM, New York, NY, USA, pp 127–134

    Google Scholar 

  86. Roldán D, Martín E, Haya PA, García-Herranz M (2011) Adaptive activities for inclusive learning using multitouch tabletops: an approach. In: Perez-Marin D, Kravcik M, Santos OC (eds) Proceedings of the international workshop on personalization approaches in learning environments. CEUR workshop proceedings, vol 732. Girona, 15 July 2011, pp 42–47

    Google Scholar 

  87. Seegers M (2001) Special technological possibilities for students with special needs. Learn Lead Technol 29(3):32–39

    Google Scholar 

  88. Serna S, Pigot H, Rialle V (2007) Modeling the progression of Alzheimer’s disease for cognitive assistance in smart homes. User Model User Adapt Interact 17(4):415–438

    Article  Google Scholar 

  89. Shneiderman B (2000) Universal usability. Commun ACM 43(5):84–91

    Article  Google Scholar 

  90. Solheim I (2007) Personalisation of user interface for the cognitively disabled: how to test cognitive functions and ICT skills. In: First T4P conference technology for participation and accessible eGoverment services, pp 98–101

    Google Scholar 

  91. Spada D, Sánchez-Montañés M, Paredes P, Carro RM (2008) Towards inferring sequential-global dimension of learning styles from mouse movement patterns. In: Nejdl W, Kay J, Pu P, Herder E (eds) Adaptive hypermedia and adaptive web-based systems. Lecture notes in computer science, vol 5149. Springer, Berlin/Heidelberg, pp 337–340

    Chapter  Google Scholar 

  92. Stephanidis C (2009) The universal access handbook (human factors and Ergonomics). CRC Press. Taylor & Francis Group, Boca Raton

    Book  Google Scholar 

  93. Stephanidis C (2011) Adaptive techniques for universal access. User Model User Adapt Interact 11:159–179, Kluwer Academic Publishers

    Article  Google Scholar 

  94. Stephanidis C, Savidis A (2001) Universal access in the information society: methods, tools, and interaction technologies. Universal Access Info Soc 1(1):40–55, Springer Berlin, Heidelberg

    Google Scholar 

  95. Toennies JL, Burgner J, Withrow TJ, Webster RJ (2011) Toward haptic/aural touchscreen display of graphical mathematics for the education of blind students. World Haptics 2011:373–378

    Google Scholar 

  96. Torrente J, Vallejo-Pinto JA, Moreno-Ger P, Fernández-Manjon B (2011) Introducing accessibility features in an educational game authoring tool: The <e-Adventure> experience. In: Proceedings of the 2011 IEEE 11th international conference on advanced learning technologies. IEEE Computer Society, Washington, DC, pp 341–343

    Google Scholar 

  97. Tsai S (2007) WADER: a novel wayfinding system with deviation recovery for individuals with cognitive impairments. In: Proceedings of the 9th international ACM SIGACCESS conference on computers and accessibility (Assets ’07). ACM, New York, pp 267–268

    Google Scholar 

  98. Tsui KM, Yanco HA (2010) Prompting devices : a survey of memory aids for task sequencing. In: Proceedings of the 2nd international symposium on quality of life technology: intelligent systems for better living, held in conjunction with RESNA 2010, Las Vegas, 28–29 June

    Google Scholar 

  99. Vassileva J (2008) Toward social learning environments. IEEE Transact Learn Technol 1(4):199–214, IEEE Computer Society Press Los Alamitos, CA, USA

    Article  Google Scholar 

  100. Verdejo MF, Celorrio C, Lorenzo E, Sastre-Toral T (2006) An educational networking infrastructure supporting ubiquitous learning for school students. In: Proceedings of the 6th IEEE international conference on advanced learning technologies, IEEE Computer Society, Kerkrade, The Netherlands, pp 174–178. Wechsler D (1997) The Wechsler adult intelligence scale. Psychological Corporation, San Antonio

    Google Scholar 

  101. Villaverde J, Godoy D, Amandi A (2006) Learning styles’ recognition in e-learning environments with feed-forward neural networks. J Comput Assist Learn 22:197–206

    Article  Google Scholar 

  102. Wechsler D (1997) The Wechsler adult intelligence scale. Psychological Corporation, San Antonio

    Google Scholar 

  103. World Health Organization (2012) Chronic disease information sheet. http://www.who.int/mediacentre/factsheets/fs311/en/index.html. Last access Aug 2012

  104. World Health Organization (2012) International classification of functioning, disability and health (ICF). http://www.who.int/classifications/icf/en/. Last access Aug 2012

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Acknowledgments

This work has been funded by the Spanish Government (ASIES project – Ministerio de Ciencia e Innovación, TIN2010-17344) and by Comunidad Autónoma de Madrid, project E-Madrid (S2009/TIC-1650).

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Martín, E., Haya, P.A., Carro, R.M. (2013). Adaptation Technologies to Support Daily Living for All. In: Martín, E., Haya, P., Carro, R. (eds) User Modeling and Adaptation for Daily Routines. Human–Computer Interaction Series. Springer, London. https://doi.org/10.1007/978-1-4471-4778-7_1

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