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EVAL - an evaluation component for mobile interfaces
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Source ACM International Conference Proceeding Series archive
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services table of contents
Amsterdam, The Netherlands
POSTER SESSION: Posters table of contents
Pages 483-484  
Year of Publication: 2008
ISBN:978-1-59593-952-4
Authors
Karin Leichtenstern  Institute for Computer Science, Augsburg, Germany
Dennis Erdmann  Institute for Computer Science, Augsburg, Germany
Elisabeth André  Institute for Computer Science, Augsburg, Germany
Sponsors
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Eval Tool is a usability evaluation environment which can be used to evaluate users an their behaviour while they interact with their pervasive computing environment via a mobile phone interface. The tool supports audio-visual recordings of several users and automatically annotates and synchronizes them with context data emerging from the pervasive environment. The annotation of video material with contextual information is important for the analysis of user studies and the detection of usability issues. The EVAL Tool consists of a recorder and a analyzer component. Using the recorder component the capturing of the videos and the logging of the context can be controlled whereas the analyzer components helps to interpret the user study.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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M. Kipp. Anvil - a generic annotation tool for multimodal dialogue. In Proceedings of the 7th European Conference on Speech Communication and Technology (Eurospeech), pages 1367--1370, Aalborg, September 2001.
 
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M. Macleod and R. Rengger. The development of drum: A software tool for video-assisted usability evaluation. In HCI'93: Proceedings of the HCI conference, pages 293--309, 1993.
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Collaborative Colleagues:
Karin Leichtenstern: colleagues
Dennis Erdmann: colleagues
Elisabeth André: colleagues