Pan: conversational agent for criminal investigations

Hepenstal, Sam, Zhang, Leishi ORCID: https://orcid.org/0000-0002-3158-2328, Kodagoda, Neesha and Wong, B. L. William ORCID: https://orcid.org/0000-0002-3363-0741 (2020) Pan: conversational agent for criminal investigations. IUI '20: Proceedings of the 25th International Conference on Intelligent User Interfaces Companion. In: IUI '20: 25th International Conference on Intelligent User Interfaces, 17-20 Mar 2020, Cagliari, Italy. ISBN 9781450375139. [Conference or Workshop Item] (doi:10.1145/3379336.3381463)

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Abstract

We present an early prototype conversational agent (CA), called Pan, for retrieving information to support criminal investigations. Our approach tackles the issue of algorithmic transparency, which is critical in unpredictable, high risk, and high consequence domains. We present a novel method to flexibly model CA intentions and provide transparency of attributes that is underpinned with human recognition. We propose that Pan can be used for experimentation to probe analyst requirements and to evaluate the effectiveness of our explanation structure.

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