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Human-computer interaction: from classifying users to classifying users' misunderstandings

Booth, Paul Andrew (1989) Human-computer interaction: from classifying users to classifying users' misunderstandings. Doctoral thesis, University of Huddersfield.

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Abstract

The overall objective of the research has been to address the question of how best to
understand user behaviour at the interface. The use of cognitive grammars to analyse
tasks and predict behaviour was rejected for seven theoretical and practical reasons.
Following this, cognitive style measures were rejected as a result the first study, where
the visualizer-verbalizer and conceptual tempoc ognitive style measures were not found
to be accurate predictors of behaviour at a task. The results of this experiment indicated
that interaction between a system and its user has certain dynamic qualities that make
prediction of a fixed set of activities in a set order difficult. Furthermore, it seemed
likely that behaviour is determined by a potentially complex interaction of variables
rather than any single over-riding factor, such as a user's cognitive style.
Consequently, attention was-focused upon the errors that occur during humancomputerinteraction.
An approach where errors are classified was -adopted, and a classification scheme was developed (ECM: an Evaluative Classification of Mismatch)as a vehicle for further research.
An initial pilot study showed that user-system errors could be classified using the
scheme. This suggested that the concepts it employed did have some validity in'both
cognitive and computing domains. The second study of ECM involved a design team at
Hewlett Packard's Office Products division in Wokingham. This study demonstrated
that the classification scheme was - usable by a design and development team that
consisted of software engineers, human factors engineers, and technical authors. The
third and final study of ECM demonstrated that it could be, used to improve a design. A
system, that had been changed using ECM, was shown to be significantly better, in
terms of time, errors and user attitude ratings, than either its original or an iteration
where ECM had not been employed.
This research has provided strong indications that evaluative classifications can be
of use within the design and development process. Furthermore, this work emphasizes
the importance of providing structures for thinking about the user's problems that are
divorced from the structure and terminology of design.

Item Type: Thesis (Doctoral)
Additional Information: EThOS Persistent ID uk.bl.ethos.236846
Uncontrolled Keywords: Ergonomics Human engineering Computer software
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Schools: School of Computing and Engineering
Depositing User: Sharon Beastall
Date Deposited: 22 Apr 2010 11:36
Last Modified: 28 Jul 2010 18:55
URI: http://eprints.hud.ac.uk/id/eprint/7478

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