User, Context and Device Modeling for Adaptive User Interface Systems

Personalization and self-customizable environments tend to increase user satisfaction. There are many approaches to face the problem of designing adaptive user interface systems. However, most of the reviewed solutions are very domain dependent. We identify users, context and devices as the most significant entities in adaptive user interface domains. This paper digs into several drawback related to these environments, remarking the incongruity and aggregation of context, and the entities interaction within adaptive user interfaces domains.

[1]  Jadwiga Indulska,et al.  Modeling Context Information in Pervasive Computing Systems , 2002, Pervasive.

[2]  Uwe Hansmann,et al.  Pervasive Computing , 2003 .

[3]  Dietmar Dengler,et al.  The User Model and Context Ontology GUMO Revisited for Future Web 2.0 Extensions , 2007, C&O:RR.

[4]  W. Babisch The Noise/Stress Concept, Risk Assessment and Research Needs. , 2002, Noise & health.

[5]  Albrecht Schmidt,et al.  There is more to context than location , 1999, Comput. Graph..

[6]  Kurt Geihs,et al.  Achieving User Participation for Adaptive Applications , 2012, UCAmI.

[7]  Alfred Kobsa User Modeling and User-Adapted Interaction , 2005, User Modeling and User-Adapted Interaction.

[8]  FischerGerhard User Modeling in HumanComputer Interaction , 2001 .

[9]  Gerhard Fischer,et al.  User Modeling in Human–Computer Interaction , 2001, User Modeling and User-Adapted Interaction.

[10]  Jean Vanderdonckt,et al.  Plasticity of User Interfaces: A Revised Reference Framework , 2002, TAMODIA.

[11]  Vic Grout,et al.  User Modelling in Ambient Intelligence for Elderly and Disabled People , 2008, ICCHP.

[12]  M. Spreng,et al.  Ear damage caused by leisure noise. , 2001, Noise & health.

[13]  Anthony Jameson,et al.  Systems That Adapt to Their Users , 2012 .

[14]  Krzysztof Z. Gajos,et al.  Systems That Adapt to Their Users , 2012 .

[15]  DIMITRIOS PIERRAKOS,et al.  User Modeling and User-Adapted Interaction , 1994, User Modeling and User-Adapted Interaction.

[16]  Peter Gregor,et al.  Designing for dynamic diversity: interfaces for older people , 2002, Assets '02.

[17]  Anind K. Dey,et al.  Understanding and Using Context , 2001, Personal and Ubiquitous Computing.

[18]  Alfred Kobsa,et al.  A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web , 2000, User Modeling and User-Adapted Interaction.

[19]  Anthony Jameson,et al.  Modelling both the Context and the User , 2001, Personal and Ubiquitous Computing.

[20]  Svein O. Hallsteinsen,et al.  Model-based user interface adaptation , 2006, Comput. Graph..

[21]  Euiho Suh,et al.  Context-aware systems: A literature review and classification , 2009, Expert Syst. Appl..

[22]  Aitor Almeida,et al.  Assessing Ambiguity of Context Data in Intelligent Environments: Towards a More Reliable Context Managing System , 2012, Sensors.

[23]  Alfred Kobsa,et al.  Generic User Modeling Systems , 2001, User modeling and user-adapted interaction.

[24]  Aitor Almeida,et al.  An Approach to Dynamic Knowledge Extension and Semantic Reasoning in Highly-Mutable Environments , 2009 .

[25]  Patrick Langdon,et al.  Characterising user capabilities to support inclusive design evaluation , 2007, Universal Access in the Information Society.

[26]  Guanling Chen,et al.  A Survey of Context-Aware Mobile Computing Research , 2000 .

[27]  Claudia Linnhoff-Popien,et al.  A Context Modeling Survey , 2004 .