Adaptive Collaborative Intelligence: Key Strategies for Sensemaking in the Wild
Document Type
Conference Proceeding
Publication Date
1-1-2021
Abstract
In the real world, no one makes decision alone. Whether developing community responses during a pandemic, intelligence driven military operations, or business plans in turbulent economic times, effective collaboration and coordination between teams, across organizational levels, and organizations is often critical for success. For example, disaster response systems often require local personnel to estimate supply needs they have little or no experience with, resulting in wasted effort, wasted resources, or worse failure to deliver. To support adaptive systems for collaboration, one must first identify key dimensions of collaborative sensemaking that need to be adaptive. In this paper, I review several themes of collaboration from field studies we conducted against a literature review of ethnographic studies to highlight the role of adaptive collaborative intelligence in operational teams. Three collaborative themes are highlighted: coordinate through awareness of work progress, attention, while not disrupting, and supporting layers of context. They provide initial suggestions for where adaptive systems could support collaborative intelligence.
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISBN
9783030903275
Recommended Citation
Veinott, E.
(2021).
Adaptive Collaborative Intelligence: Key Strategies for Sensemaking in the Wild.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
13096 LNCS, 121-129.
http://doi.org/10.1007/978-3-030-90328-2_8
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/15627