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Adaptivity: System-Initiated Individualization
Published in Reinhard Oppermann, Adaptive User Support, 2017
Mette Krogsæter, Christoph G. Thomas
An adaptive system must be able to match particular system responses with knowledge the system possesses about users and their tasks. The type of system response or adaptation can be used as one criterion for classifying adaptive systems: Adaptive help systems:These are systems that adapt the help facilities to either the task context or to specific user preferences.Adaptive user interfaces:These are systems that adapt the interaction style to the user’s needs and preferences.Adaptive applications:These are systems that adapt functionality or the working of internal system modules, depending on the current state space or the user’s actions.
A Case Study in Unified User Interface Development
Published in Constantine Stephanidis, User Interfaces for All, 2000
Constantine Stephanidis, Alexandros Paramythis, Michael Sfyrakis, Anthony Savidis
The evaluation of unified user interfaces is perhaps the most challenging of the development activities discussed so far. As already indicated in the section Evaluating the Unified User Interface (see also chap. 17, this volume), there do not exist today evaluation methods and techniques that adequately address the assessment of adaptive user interfaces. Because adaptation constitutes a major factor in achieving unification in the user interface, it is apparent that the evaluation of unified user interfaces must, therefore, be carefully planned and conducted on a case-by-case basis.
AutismGuide: a usability guidelines to design software solutions for users with autism spectrum disorder
Published in Behaviour & Information Technology, 2022
Yuska Paola Costa Aguiar, Edith Galy, Anaïs Godde, Maëla Trémaud, Carole Tardif
The category of Adaptability of AutismGuide contains the largest number of recommendations (18, corresponding to 26%). It is consistent with the reality regarding the diversity in Autism Spectrum Disorder and the variety of characteristics, symptoms, individual evolution, needs, etc. To provide adaptability to software solutions for users with autism Artificial Intelligence (AI) is the most probable and promissory technology to the development process. Machine-learning can allow creating auto-adaptive user interfaces according to the evolution and behaviour of each individual and their particularities. However, the current version of AutismGuide has a goal to indicate which recommendations are important concerning software development for people with autism. Without, necessarily, indicate how or from which technologies these recommendations should be implemented.