Chapter 8 – Accessing Mainstream Information and Communication Technologies: The Technology and the Web

[1]  I. Pisotta,et al.  Psychosocial and Ethical Aspects in Non-Invasive EEG-Based BCI Research—A Survey Among BCI Users and BCI Professionals , 2014 .

[2]  Janice Light,et al.  The iPad and Mobile Technology Revolution: Benefits and Challenges for Individuals who require Augmentative and Alternative Communication , 2013, Augmentative and alternative communication.

[3]  A. Kübler,et al.  Face stimuli effectively prevent brain–computer interface inefficiency in patients with neurodegenerative disease , 2013, Clinical Neurophysiology.

[4]  A. K. Platonov,et al.  Principles of neurorehabilitation based on the brain-computer interface and biologically adequate control of the exoskeleton , 2013, Human Physiology.

[5]  D. Wood,et al.  Why aren't you on Facebook?: Patterns and experiences of using the Internet among young people with physical disabilities , 2012 .

[6]  F. Routhier,et al.  Designs in AT research: Usefulness for therapists in clinical practice , 2012 .

[7]  Ane Murua,et al.  Cloud-based assistive technology services , 2011, 2011 Federated Conference on Computer Science and Information Systems (FedCSIS).

[8]  Borja Gamecho,et al.  Automatically generating tailored accessible user interfaces for ubiquitous services , 2011, ASSETS '11.

[9]  Clayton Lewis,et al.  Opportunities in Cloud Computing for People with Cognitive Disabilities: Designer and User Perspective , 2011, HCI.

[10]  Dave Hershberger,et al.  Mobile Technology and AAC Apps From an AAC Developer's Perspective , 2011 .

[11]  Christophe Strobbe,et al.  The role of technical standards for AT and DfA equipment and services , 2011 .

[12]  Jan Miller Polgar,et al.  The Myth of Neutral Technology , 2011 .

[13]  Gregg C. Vanderheiden,et al.  Technology and inclusion - Past, present and foreseeable future , 2011 .

[14]  Dan Comden,et al.  Computer and cell phone access for individuals with mobility impairments: an overview and case studies. , 2011, NeuroRehabilitation.

[15]  Peter Graf,et al.  Multi-Layered Interfaces to Improve Older Adults’ Initial Learnability of Mobile Applications , 2010, TACC.

[16]  Heidi Horstmann Koester,et al.  Research in computer access assessment and intervention. , 2010, Physical medicine and rehabilitation clinics of North America.

[17]  María Rosalía Vicente,et al.  A Multidimensional Analysis of the Disability Digital Divide: Some Evidence for Internet Use , 2010, Inf. Soc..

[18]  Robert Pedlow,et al.  Barriers to the adoption of cell phones for older people with impairments in the USA: Results from an expert review and field study , 2010 .

[19]  Neal Leavitt,et al.  Anonymization Technology Takes a High Profile , 2009, Computer.

[20]  Richard E. Ladner,et al.  Freedom to roam: a study of mobile device adoption and accessibility for people with visual and motor disabilities , 2009, Assets '09.

[21]  Chris D. Nugent,et al.  Mapping User Needs to Smartphone Services for Persons with Chronic Disease , 2009, ICOST.

[22]  Neal Leavitt,et al.  Is Cloud Computing Really Ready for Prime Time? , 2009, Computer.

[23]  Noëlle Carbonell.  Ambient Multimodality: an Asset for Developing Universal Access to the Information Society , 2007, ArXiv.

[24]  Rita Hellman,et al.  Universal Design and Mobile Devices , 2007, HCI.

[25]  Rob Garrett,et al.  Research into Telecommunications Options for People with Physical Disabilities , 2007, Assistive technology : the official journal of RESNA.

[26]  B. Koes,et al.  Repetitive strain injury , 1987, The Lancet.

[27]  Tonya L. Smith-Jackson,et al.  Design Considerations for Accessible Mobile Phones , 2006 .

[28]  K. Schaefer.  Market-Based Solutions for Improving Telecommunications Access and Choice For Consumers With Disabilities , 2006 .

[29]  B. S. Hoppestad,et al.  Essential elements for assessment of persons with severe neurological impairments for computer access utilizing assistive technology devices: A Delphi study , 2006, Disability and rehabilitation. Assistive technology.

[30]  P. Emiliani.  Assistive Technology (AT) versus Mainstream Technology (MST): The research perspective , 2006 .

[31]  Bethlyn Houlihan,et al.  Patterns of Internet use by persons with spinal cord injuries and relationship to health-related quality of life. , 2004, Archives of physical medicine and rehabilitation.

[32]  G. Pfurtscheller,et al.  Conversion of EEG activity into cursor movement by a brain-computer interface (BCI) , 2004, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[33]  Diane Nelson Bryen,et al.  Augmentative and Alternative Communication and Cell Phone Use: One Off-the-Shelf Solution and Some Policy Considerations , 2004, Assistive technology : the official journal of RESNA.

[34]  Gerwin Schalk,et al.  A brain–computer interface using electrocorticographic signals in humans , 2004, Journal of neural engineering.

[35]  N. Birbaumer,et al.  BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.

[36]  Natilene Bowker,et al.  Dicing with Deception: People with Disabilities' Strategies for Managing Safety and Identity Online , 2006, J. Comput. Mediat. Commun..

[37]  J. Fruchterman,et al.  In the Palm of Your Hand: A Vision of the Future of Technology for People with Visual Impairments , 2003 .

[38]  G.E. Birch,et al.  A general framework for brain-computer interface design , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[39]  Tonya Smith-Jackson,et al.  Accessible cell phone design: development and application of a needs analysis framework , 2003, Disability and rehabilitation.

[40]  B. Weiner,et al.  The shaping of individual meanings assigned to assistive technology: a review of personal factors , 2002, Disability and rehabilitation.

[41]  Claude Vincent,et al.  Development of a standardized instrument to assess computer task performance. , 2002, The American journal of occupational therapy : official publication of the American Occupational Therapy Association.

[42]  J. Makhoul,et al.  The voice of the computer is heard in the land (and it listens too!) [speech recognition] , 1997 .

[43]  D Kambeyanda,et al.  Potential problems associated with use of speech recognition products. , 1997, Assistive technology : the official journal of RESNA.