It is important to develop tools that support sense-making by providing representations that help to capture the externalisation of the thinking process. The paper proposes SMART, a new method for identifying the sense-making processes of experts by combing probes with cognitive task analysis methods. The Data-Frame sense-making model is used as a theoretical frame, and the probes have been developed around the model to elicit experts’ sense-making strategies. However, we found that the SMART probes presently lacked the resolution to capture the experts sense-making and a stronger emphasis of cognitive task analysis methods and observations were required to interpret the findings.
CookeN. J. (1994). Varieties of knowledge elicitation techniques. International Journal of Human-Computer Studies, 41(6).
2.
KleinG. A.CalderwoodR.MacGregorD. (1989). Critical Decision Method for Eliciting Knowledge. Systems, Man and Cybernetics, IEEE Transactions on, 19(3), 462–472.
3.
KleinG.PhillipsJ. K.RallE. L.PelusoD. A. (2007). A Data-Frame Theory of Sensemaking. In HoffmanR. R. (Ed.), Expertise out of context Proceedings of the Sixth International Conference on Naturalistic Decision Making (pp. 113–155).
4.
LonerganB. (1957). Insight: A Study of Human Understanding (p. 810). University of Toronto Press, Scholarly Publishing Division.
5.
NielsenJ. (2007). Ten Usability Heuristics Mean for MIMAS Websites and Web based Interfaces. Design, (August2006), 2007–2007.
6.
NormanD. (1988). The Design Of Everyday Things. Doubleday Business.
7.
PirolliP.CardS.AltoP.SchemasE. (2005). The Sensemaking Process and Leverage Points for Analyst Technology as Identified Through Cognitive Task Analysis. Proceedings of the 2005 International Conference on Intelligence Analysis.
8.
WeickK. E. (1995). Sensemaking in Organizations. Thousand Oaks, CA: SAGE Publications.
9.
WongW.ChenR.KodagodaN.RooneyC.XuK. (2011). INVISQUE: intuitive information exploration through interactive visualization. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems -CHI EA ’11 (pp. 311–314). New York, New York, USA: ACM Press.
