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Undo and erase events as indicators of usability problems
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Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Metrics table of contents
Pages 659-668  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
David Akers  Stanford University, Stanford, CA, USA
Matthew Simpson  Google, Inc., Mountain View, CA, USA
Robin Jeffries  Google, Inc., Mountain View, CA, USA
Terry Winograd  Stanford University, Stanford, CA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

One approach to reducing the costs of usability testing is to facilitate the automatic detection of critical incidents: serious breakdowns in interaction that stand out during software use. This research evaluates the use of undo and erase events as indicators of critical incidents in Google SketchUp (a 3D-modeling application), measuring an indicator's usefulness by the numbers and types of usability problems discovered. We compared problems identified using undo and erase events to problems identified using the user-reported critical incident technique [Hartson and Castillo 1998]. In a within-subjects experiment with 35 participants, undo and erase episodes together revealed over 90% of the problems rated as severe, several of which would not have been discovered by self-report alone. Moreover, problems found by all three methods were rated as significantly more severe than those identified by only a subset of methods. These results suggest that undo and erase events will serve as useful complements to user-reported critical incidents for low cost usability evaluation of creation-oriented applications like SketchUp.


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:
David Akers: colleagues
Matthew Simpson: colleagues
Robin Jeffries: colleagues
Terry Winograd: colleagues