Team Sensemaking Assessment Method (TSAM): an inspection method for evaluating collaborative analysis technologies

Hutton, R. J. B., Attfield, Simon ORCID:, Wiggins, S., McGuinness, B. and Wong, B. L. William ORCID: (2012) Team Sensemaking Assessment Method (TSAM): an inspection method for evaluating collaborative analysis technologies. In: Contemporary Ergonomics and Human Factors 2012 Proceedings of the international conference on Ergonomics & Human Factors 2012, Blackpool, UK, 16-19 April 2012. Anderson, Martin, ed. Contemporary Ergonomics . CRC Press, pp. 419-420. ISBN 9780415621526. [Book Section] (doi:10.1201/b11933-94)


Given their size and complexity, analysis tasks (such as security or business intelligence analysis) often call for collaboration which crosses teams, agency, and even national boundaries. Successful collaboration, however, presents some significant challenges. Critical pieces of information can be scattered across a distributed analysis ‘system’ resulting in a failure to integrate and correctly interpret these in an effective and timely manner.
Information technologies of various descriptions provide essential opportunities for intelligence analysis teams for activities such as data gathering and recording; performing, representing, and reflecting on analyses; and making analyses available for consumption by others. In a collaborative setting these activities are frequently distributed, shared and must be negotiated, and this places additional demands on the technologies that are required. Whilst collaborative analysis environments will inevitably evolve to meet this challenge, there is currently no clear picture of what an effective collaborative analysis team looks like, how it operates, and what tools should be deployed to support such a team.
The Team Sensemaking Assessment Method (TSAM) begins to address this gap by providing a principled inspection method specifically for human factors specialists to evaluate technologies which have been proposed to support collaborative intelligence analysis and sensemaking teams.

Item Type: Book Section
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 8641
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Depositing User: Devika Mohan
Date Deposited: 14 Mar 2012 06:27
Last Modified: 13 Oct 2016 14:24

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