TU Berlin

Quality and Usability Lab2017_09_21_Aria

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Implementierung und Evaluierung eines multimodalen Informationssystems

LOCATION:  TEL, Room Auditorium 3 (20th floor), Ernst-Reuter-Platz 7, 10587 Berlin

Date/Time: 21.09.2017, 11:00-11:30

SPEAKER: Armin Aria (TU Berlin)


Increasing digitalization is more and more frequently found in everyday functions. In this respect it is commonly assumed that a broader selection will automatically lead to a higher level of user satisfaction

However, mobile devices offer only a limited amount of screen space for what reason a broader selection is inevitably combined with more user interaction. This can lead a cancellation of the selection process and therefore to a negative user experience. This issue can be countered by recommender systems. Those provide a pre-selection based on collected data and can therefore offer specific, target-oriented suggestions.

This thesis will show that it is possible to improve the usability of mobile applicationsby the use of a recommendation list. The usability has been examined in regards to thethree criteria of ISO-9244-11. In a study with 30 participants two different methods havebeen investigated. The first method offers a list which is sorted by recommendations. The second methodprovides a randomly sorted list.

This thesis will show that by using a recommendation list it is possible to increase theusability in every aspect of the ISO-9244-11: effectiveness, effciency and user friendliness.This leads to the conclusion that a broader selection does not automatically lead to a higher usability.



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