Adaptively distributing cognition: A decision-making perspective on human - computer interaction
Stephen Payne,
Andrew Howes and
William Reader
Behaviour and Information Technology, 2001, vol. 20, issue 5, 339-346
Abstract:
Two important phenomena in human - computer interaction (HCI) are considered: the reliance on external information rather than memory, and the interleaving of planning and action. These phenomena are important, it is argued, because they challenge some particular cognitive models. However, we reject those views, influential in the HCI literature, that phenomena like these require radically new conceptions of cognition or behaviour. It is shown that the phenomena are not universal laws of behaviour, but that instead people decide how much to remember and how much to plan according to a consideration of the costs and benefits of different strategies. Thus the classical cognitive conception of humans as adaptive decision makers is vital for a deep understanding of HCI.
Date: 2001
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1080/01449290110078680 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:20:y:2001:i:5:p:339-346
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/01449290110078680
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().