The demand for computer-based systems assisting different activities of people with disabilities is on the rise. The research project IAAA develops a tool which is capable of an automated analysis of interactions, gathering usage data which later helps to personalize an interaction setting.

Nowadays, personalization plays a major role in many computer-based systems. And still, it can be expected to become even more important due to the European and national programme Strategie 2020 considering demographic changes, potentially aging employees or the focus on intelligent production processes. Also, the percentage of people with disabilities in the work force, often assisted by special hard and software, should be increased. Because of that, the necessity to mold software systems to match the requirements of a preferably large user basis is essential. However, this is a very costly process and means a lot of effort if it is done without automatization.


This research endeavor deals with the development of s a tool which is capable of an automated analysis of interactions and gathering of usage data which later helps to personalize an interaction setting.


The results of these analyses are then stored into a user model, which is later used to recommend input devices and personalizing them, depending on the gathered usage data. Additionally, this information can be used to adapt the user interface (software) accordingly. Thanks to this automated process, a too high effort for the personalization can be circumvented.


People with disabilities have been chosen as an initial domain, because this target group seems to have the most versatile requirements to interactive systems. Moreover, considering inclusion aspects it is surely easier to extend the gained knowledge to non-impaired users than to make this transfer vice versa.


  • Computer-based are present in many areas of our daily lives.
  • Demographic change and inclusion lead to ever broader target groups of users of interactive systems.
  • Personalization of software is becoming more and more important to cope with this broad user bases.
  • Personalization leads to a decrease in input errors and an increase in the User Experience.
  • However, manual personalization poses a lot of effort and is costly.


  • Initial target group (with diverse requirements): people with disabilities.
  • Realistic assessment of specific users' interaction capabilities.
  • Automated adaptation of human-computer interaction.
  • Tool for the consultation of people with disabilities (e.g., recommendation of suitable input devices).

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