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Characteristics of human perception and their relevance when studying information behaviour


Lueg, CP, Characteristics of human perception and their relevance when studying information behaviour, Journal of Documentation, 70, (4) pp. 562-574. ISSN 0022-0418 (2014) [Refereed Article]

Copyright Statement

Copyright 2014 Emerald Group Publishing Limited

DOI: doi:10.1108/JD-05-2012-0064


Research in allied disciplines suggests that failing to notice information that is actually present in the environment is not an exception but rather to be expected. The specific characteristics of human bodies along with the cognitive and perceptual systems that have co-evolved with these bodies are such that humans perceive only a fraction of the information that is potentially perceivable. There are many reasons for that including, but not limited to, the body's "being in the world" and the physical movements that are involved in any kind of information behavior and that both enable and constrain what one can perceive. The information that is perceived may or may not include information that is relevant to a task at hand. In this article, we summarize some of the relevant research conducted in allied disciplines and argue that information behaviour research needs to find ways to address the human characteristics that imply that a) subjects are likely to fail to recognize information that is present in an environment and potentially relevant to a task at hand and b) subjects would not be able to report on the fact that they failed to recognize the information. We also discuss as to how information behaviour research can address the aforementioned challenges resulting from human movement and perception.

Item Details

Item Type:Refereed Article
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information behaviour
Objective Division:Information and Communication Services
Objective Group:Information services
Objective Field:Information services not elsewhere classified
UTAS Author:Lueg, CP (Professor Christopher Lueg)
ID Code:85365
Year Published:2014
Web of Science® Times Cited:18
Deposited By:Information and Communication Technology
Deposited On:2013-07-02
Last Modified:2017-12-13
Downloads:4 View Download Statistics

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