Cognitive mapping techniques for user-database interaction
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 96-108 |
Journal / Publication | IEEE Transactions on Professional Communication |
Volume | 49 |
Issue number | 2 |
Publication status | Published - Jun 2006 |
Externally published | Yes |
Link(s)
Abstract
In this paper, we first develop a framework of user-database interaction. Based on this framework, we then provide a discussion on how notable human factors influence various dimensions of user-database interaction. Following that, we propose using cognitive mapping techniques to overcome some cognitive and behavioral biases during user-database interaction. Three popular cognitive mapping techniques-causal mapping, semantic mapping, and concept mapping-are introduced as techniques to elicit an individual's belief systems regarding a problem domain. Through an example database application, we demonstrate how to use these cognitive mapping techniques to improve user-database interaction. Finally, we discuss the implications of this research for technical communicators during user-database interaction analysis and design. © 2006 IEEE.
Research Area(s)
- Cognitive mapping, Technical communication, User-database interaction
Bibliographic Note
Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].
Citation Format(s)
Cognitive mapping techniques for user-database interaction. / Siau, Keng; Tan, Xin.
In: IEEE Transactions on Professional Communication, Vol. 49, No. 2, 06.2006, p. 96-108.
In: IEEE Transactions on Professional Communication, Vol. 49, No. 2, 06.2006, p. 96-108.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review