Team Sensemaking Assessment Method (TSAM): an inspection method for evaluating collaborative analysis technologies
Hutton, R. J. B. and Attfield, Simon and Wiggins, S. and McGuinness, B. and Wong, B. L. William (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
Full text is not in this repository.
Official URL: http://dx.doi.org/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|
|Deposited On:||14 Mar 2012 06:27|
|Last Modified:||27 Mar 2015 11:51|
Repository staff only: item control page
Full text downloads (NB count will be zero if no full text documents are attached to the record)
Downloads per month over the past year