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Automatic Usability Engineering Methods
Optimized usability engineering of interactive services by usability prediction
Motivation & Project Description
- State-of-the-art usability measurement methods still involve subjective tests with human participants, which come late in the service development cycle and at a high expense.
- The aim of this project is to provide usability estimations for multimodal interactive services on the basis of algorithmic models, including
- Models of human behavior during the interaction
- Models for predicting usability problems (e.g. ISO 9241)
- Models for predicting user judgments and hedonistic quality aspects
- This way services can be developed much quicker and cheaper.
Outcome:
- Patent for SpeechEval system (user simulation and judgment prediction)
- Project funding from DFG (revised re-submission): Modellierung von Benutzerverhalten auf techniksoziologischer Basis - Eine neuartige Methodik der Usability-Evaluierung” (with Prof. Rammert)
- Application for 2nd funding phase of the aforementioned UserModel project started
- Project application DFG: COGNITIVE (prediction of user affect for sytem adaptivity and evaluation) submitted
- Project application DFG: Multimodal SpeechEval
- EU-project proposal: Extra-Ling: Development and testing of adaptive systems
- New input modalities (3D Gesture recognition and iPhone GUI) for the INSPIRE Smart-Home System
- DA Florian Greb, Februar 2009
- DA Tilo Westermann, Januar 2010
- DA Florian Greb, Februar 2009
- Models for describing user behavior in response to the service
- Parameters for quantifying user/system behavior in multimodal interaction (input parameters to models)
- Models of user interaction behavior for GUIs and VUIs
- Identification of relevant quality aspects and their interrelationship
- Models for predicting usability aspects and user judgments on the basis of interaction parameters
Time Frame: | 01/2009 - 12/2010 |
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T-labs Team Members: | K.-P. Engelbrecht, C. Kühnel, S. Möller, B. Weiss |
Students: | M. Siebke, R. Tönges |
Partners: | |
Funding by: | Deutsche Telekom Laboratories |
Publications: | see project publications |