The impact of system transparency on analytical reasoning
Hepenstal, S., Zhang, L. and Wong, B. 2023. The impact of system transparency on analytical reasoning. in: CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg Germany, April 23 - 28, 2023 New York ACM.
|Authors||Hepenstal, S., Zhang, L. and Wong, B.|
In this paper, we present the hypothesis that system transparency is critical for tasks that involve expert sensemaking. Artificial Intelligence (AI) systems can aid criminal intelligence analysts, however, they are typically opaque, obscuring the underlying processes that inform outputs, and this has implications for sensemaking. We report on an initial study with 10 intelligence analysts who performed a realistic investigation exercise using the Pan natural language system [10, 11], in which only half were provided with system transparency. Differences between conditions are analysed and the results demonstrate that transparency improved the ability of analysts to reason about the data and form hypotheses.
|Keywords||System transparency; AI; Artificial intelligence; Pan natural language system|
|Book title||CHI '23: CHI Conference on Human Factors in Computing Systems, Hamburg Germany, April 23 - 28, 2023|
|Place of publication||New York|
|Online||19 Apr 2023|
|19 Apr 2023|
|Publication process dates|
|Deposited||10 May 2023|
|Digital Object Identifier (DOI)||https://doi.org/10.1145/3544549.3585786|
|Journal||Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems|
|Journal citation||(274), pp. 1-6|
3views this month
0downloads this month