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Assessing the applicability of the structured expert evaluation method (SEEM) for a wider age group
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Source Interactive Design And Children archive
Proceedings of the 2006 conference on Interaction design and children table of contents
Tampere, Finland
SESSION: Usability table of contents
Pages: 73 - 80  
Year of Publication: 2006
Authors
Ester Baauw  Eindhoven University of Technology, MB Eindhoven, The Netherlands
Mathilde M. Bekker  Eindhoven University of Technology, MB Eindhoven, The Netherlands
Panos Markopoulos  Eindhoven University of Technology, MB Eindhoven, The Netherlands
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 82,   Citation Count: 1
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ABSTRACT

This paper describes a study which examines whether a predictive evaluation method (SEEM) is suitable to assess products for an older age group than for which the evaluation method was originally developed. SEEM stands for Structured Expert Evaluation Method and is an analytical evaluation method especially developed for assessing the fun and usability of young children's educational computer games (children from 5 to 7 years old). In the present study SEEM was applied to assess educational computer games for children between 9 and 11 years old. Outcomes on scores for thoroughness (whether SEEM finds all problems), validity (whether SEEM makes predictions that are likely to be true) and appropriateness (whether SEEM is applied correctly) were compared. The results show that the trends for the thoroughness and the validity are the same for the two different age groups; however SEEM scores a bit better for the oldest age group. The appropriateness scores are about the same for the two age groups. The results indicate that SEEM can also be applied for assessing educational computer games for children between 9 and 11 years old.


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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Collaborative Colleagues:
Ester Baauw: colleagues
Mathilde M. Bekker: colleagues
Panos Markopoulos: colleagues