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usiness Reporting Language), geography (E.g. Active Maps), Education (E.g. web based active textbook with animated interactive figures), medicine (E.g. Medical imaging), architecture (Floor plan, building plan) but the review of the literature suggests that the impact of DID has not been explored intensively in the IS field. 

This proposed study aims to provide empirical test of the theory of Cognitive Fit, in supporting that the impact of IT is limited which is contingent on whether a particular IT application, such as DID, is a good match with the requirement of processing high volume of data to complete a given task. 

The current study provides useful guidelines for design and use of dense, interactive visualizations towards effective business decision making. If Business want to want to improve decision making performance with high volume of data they can do it with DID. However, because there are so many visualization tools available for use that it is difficult to select the one that is useful for decision making under different time pressure. This proposed study will provide guideline for the usefulness of use DID for HTC and LTC task. These suggestions might help the decision makers and Visualization tool to enjoy the benefits of DID for the appropriate time-dependent task.

The proposed study in crucial to understand whether DID has positive effects on decision making and if yes then under what conditions. Interaction can becomes become a powerful tool where users need to filter and zoom on subset of data. There might be information overload and the users might feel lost in the data. There can be added cost in giving access to several levels of data. We also need to understand if providing interactive display is appropriate for tasks which need to be completed under high time pressure and requires processing of high volume of data. This proposed study attempts to imply that DID might not be usable for all decision making context and it is important to understand when it is the most appropriate and use it accordingly to support decision making.

References:

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2. Todd, P. and I. Benbasat, The impact of information technology on decision making: A cognitive perspective. Framing the domains of IT management—Projecting the future through the past, 2000.

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4. DeSanctis, G., COMPUTER GRAPHICS AS DECISION AIDS: DIRECTIONS FOR RESEARCH*. Decision Sciences, 1984. 15(4): p. 463-487.

5. Paivio, A., Dual coding theory: Retrospect and current status. Canadian Journal of Psychology, 1991. 45(3): p. 255-287.

6. Sadoski, M. and A. Paivio, Imagery and text: A dual coding theory of reading and writing. 2001: Lawrence Erlbaum Associates.

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9. Carpenter, P. and P. Shah, A model of the perceptual and conceptual processes in graph comprehension. JOURNAL OF EXPERIMENTAL PSYCHOLOGY APPLIED, 1998. 4: p. 75-100.

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