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Capturing semi-automated decision making : the methodology of CASADEMA

Nilsson, Maria (författare)
Högskolan i Skövde,Örebro universitet,Akademin för naturvetenskap och teknik,Institutionen för kommunikation och information,Forskningscentrum för Informationsteknologi
Ziemke, Tom, Professor (preses)
University of Skövde
van Laere, Joeri, PhD (preses)
University of Skövde
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Susi, Tarja, PhD (preses)
University of Skövde
Loutfi, Amy, PhD (preses)
Örebro universitet,Akademin för naturvetenskap och teknik
Bisantz, Ann, Associate Professor, PhD (opponent)
Departement of Industrial and Systems Engineering. University at Buffalo, USA
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 (creator_code:org_t)
ISBN 9789176687741
Örebro : Örebro university, 2010
Engelska 199 s.
Serie: Örebro Studies in Technology, 1650-8580 ; 43
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)
Abstract Ämnesord
Stäng  
  • This thesis presents a new methodology named CASADEMA (CApturing Semi-Automated DEcision MAking) which captures the interaction between humans and the technology they use to support their decision-making within the domain of Information Fusion. We are particularly interested in characterising the interaction between human decision makers and artefacts in semi-automated fusion processes. In our investigation we found that the existing approaches are limited in their ability to capture such interactions in sufficient detail. The presented method is built upon a distributed-cognition perspective. The use of this particular theoretical framework from cognitive science enables the method to take into account not only the role of the data captured in the physical and digital artefacts of the fusion system (e.g., radar readings, information from a fax or database, a piece of paper, etc.), but also the cognitive support function of the artefacts themselves (e.g., as an external memory) as part of the fusion process. That is, the interdependencies between the fusion process and decision-making can be captured. This thesis thus contributes to two main fields. Firstly, it enables, through CASADEMA, a distributed-cognition perspective of fusion processes in the, otherwise, rather technology-oriented field of Information Fusion. This has important conceptual implications, since it views fusion processes as extending beyond the boundary of physical/computer systems, to include humans, technology, and tools, as well as the interactions between them. It is argued that a better understanding of these interactions can lead to a better design of fusion processes, making CASADEMA an important contribution to the information fusion field. Secondly, the thesis provides, again in the form of CASADEMA, a practical application of the distributed-cognition theoretical framework. Importantly, the notations and definitions introduced in CASADEMA structure the otherwise currently rather loosely defined concepts and approaches in distributed cognition research. Hence, the work presented here also contributes to the fields of cognitive science and human-computer interaction.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Systemvetenskap, informationssystem och informatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Information Systems (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences (hsv//eng)

Nyckelord

Decision making
distributed cognition
human-computer interaction
semi-automated processes
SOCIAL SCIENCES
SAMHÄLLSVETENSKAP
Information technology
Informationsteknologi
Datalogi
Computer and Systems Science
Teknik

Publikations- och innehållstyp

vet (ämneskategori)
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