Prospective memory in complex sociotechnical systems

Grundgeiger, Tobias, Sanderson, Penelope M. and Key Dismukes, R. (2014) Prospective memory in complex sociotechnical systems. Zeitschrift fur Psychologie / Journal of Psychology, 222 2: 100-109. doi:10.1027/2151-2604/a000171

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Author Grundgeiger, Tobias
Sanderson, Penelope M.
Key Dismukes, R.
Title Prospective memory in complex sociotechnical systems
Journal name Zeitschrift fur Psychologie / Journal of Psychology   Check publisher's open access policy
ISSN 2151-2604
2190-8370
Publication date 2014-01-01
Sub-type Article (original research)
DOI 10.1027/2151-2604/a000171
Volume 222
Issue 2
Start page 100
End page 109
Total pages 10
Place of publication Goettingen, Germany
Publisher Hogrefe Verlag
Language eng
Abstract An important cognitive function is the ability to remember to execute future tasks, a capability known as prospective memory (PM). Workers in complex sociotechnical systems such as healthcare and aviation face many PM challenges and forgetting tasks can have severe consequences. Although researchers have made progress in understanding how individuals remember future tasks, system-level support for PM has seldom been addressed. In the present paper, we briefly review PM research in healthcare and aviation, focusing on naturalistic studies using expert workers, and we present the concept of distributed prospective memory, which incorporates the interaction between the environment and the individual when future tasks must be remembered. PM in sociotechnical settings is a complex process involving human and nonhuman agents. Therefore, a systems approach is needed to fully understand PM processes, thus supporting workers and eventually minimizing errors and increasing safety.
Keyword Distributed cognition
Distributed prospective memory
Human factors
Prospective memory
Sociotechnical systems
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2015 Collection
School of Information Technology and Electrical Engineering Publications
 
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Citation counts: TR Web of Science Citation Count  Cited 6 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 10 times in Scopus Article | Citations
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