Knowledge acquisition and conceptual models: A Cognitive analysis of the interface
| dc.contributor.author | Dillon, Andrew | |
| dc.contributor.editor | Diaper, Dan | en_US |
| dc.contributor.editor | Winder, Russell | en_US |
| dc.date.accessioned | 2006-08-04T00:00:01Z | |
| dc.date.available | 2010-06-18T23:48:00Z | |
| dc.date.issued | 1987 | en_US |
| dc.date.submitted | 2006-08-04 | en_US |
| dc.identifier.citation | Knowledge acquisition and conceptual models: A Cognitive analysis of the interface 1987, :371-379 People and computers VII | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/106468 | |
| dc.description.abstract | This item is not the definitive copy. Please use the following citation when referencing this material: Dillon, A. (1987) Knowledge acquisition and conceptual models: a cognitive analysis of the interface. In: D. Diaper and R.Winder (eds.) People and Computers III. Cambridge: Cambridge University Press, 371-379. Abstract: Understanding how users process the information available to them through the computer interface can greatly enhance our abilities to design usable systems. This paper details the results of a longitudinal psychological experiment investigating the effect of interface style on user performance, knowledge acquisition and conceptual model development. Through the use of standard performance measures, interactive error scoring and protocol analysis techniques it becomes possible to identify crucial psychological factors in successful human computer use. Results indicate that a distinction between "deep" and "shallow" knowledge of system functioning can be drawn where both types of user appear to interact identically with the machine although significant differences in their respective knowledge exists. The effect of these differences on user ability to perform under stress and transfer to similar systems is noted. Implications for the design of usable systems are discussed. | |
| dc.format.mimetype | application/pdf | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Cambridge: Cambridge University Press | en_US |
| dc.subject | Cognitive Science | en_US |
| dc.subject | Psychology | en_US |
| dc.subject | Human Computer Interaction | en_US |
| dc.subject | Hypertext and Hypermedia | en_US |
| dc.title | Knowledge acquisition and conceptual models: A Cognitive analysis of the interface | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.journal | People and computers VII | en_US |
| refterms.dateFOA | 2018-04-26T13:01:16Z | |
| html.description.abstract | This item is not the definitive copy. Please use the following citation when referencing this material: Dillon, A. (1987) Knowledge acquisition and conceptual models: a cognitive analysis of the interface. In: D. Diaper and R.Winder (eds.) People and Computers III. Cambridge: Cambridge University Press, 371-379. Abstract: Understanding how users process the information available to them through the computer interface can greatly enhance our abilities to design usable systems. This paper details the results of a longitudinal psychological experiment investigating the effect of interface style on user performance, knowledge acquisition and conceptual model development. Through the use of standard performance measures, interactive error scoring and protocol analysis techniques it becomes possible to identify crucial psychological factors in successful human computer use. Results indicate that a distinction between "deep" and "shallow" knowledge of system functioning can be drawn where both types of user appear to interact identically with the machine although significant differences in their respective knowledge exists. The effect of these differences on user ability to perform under stress and transfer to similar systems is noted. Implications for the design of usable systems are discussed. |
