For conversational agents to provide benefit to intelligence analysis they need to be able to recognise and respond to the analysts intentions. Furthermore, they must provide transparency to their algorithms and be able to adapt to new situations and lines of inquiry. We present a preliminary analysis as a first step towards developing conversational agents for intelligence analysis: that of understanding and modeling analyst intentions so they can be recognised by conversational agents. We describe in-depth interviews conducted with experienced intelligence analysts and implications for designing conversational agent intentions.
HepenstalSamKodagodaNeeshaZhangLeishiPaudyalPragyaWongB. L. William. “Algorithmic Transparency of Conversational Agents.” In Joint Proceedings of the ACM IUI 2019 Workshops, Los Angeles, USA, March20, 2019.
3.
KinsellaBret. “Amazon Echo Device Sales Break New Records, Alexa Tops Free App Downloads for iOS and Android, and Alexa Down in Europe on Christmas Morning.” 26Dec2018.
4.
---. “NPR Study Says 118 Million Smart Speakers Owned by U.S. Adults.” 7Jan2019.
5.
KleinG. A.CalderwoodR.MacGregorD. “Critical Decision Method for Eliciting Knowledge.” IEEE Transactions on Systems, Man, and Cybernetics19.3 (1989): 462-72.
6.
KleinG.MoonB.HoffmanR. R. “Making Sense of Sensemaking 2: A Macrocognitive Model.” IEEE Intelligent Systems21.5 (2006): 88-92.
7.
KleinG. “A Recognition Primed Decision (RPD) Model of Rapid Decision Making.” (1993).
LeeBongshin, et al. Task Taxonomy for Graph Visualization. ACM, 2006.
10.
MctearMichael. “Spoken Dialogue Technology: Enabling the Conversational User Interface.” ACM Computing Surveys (CSUR)34.1 (2002): 90-169.
11.
PenningtonNancyHastieReid, and Abraham (editor) Tesser. “Explaining the Evidence: Tests of the Story Model for Juror Decision Making.” Journal of personality and social psychology62.2 (1992): 189-206.
12.
RadziwillNicole M.BentonMorgan C. “Evaluating Quality of Chatbots and Intelligent Conversational Agents.” arXiv preprint arXiv:1704.04579 (2017).
13.
ToulminStephen E.The Uses of Argument. Cambridge University Press, 1958.
14.
WongB. L. W.Critical Decision Method Data Analysis. Lawrence Erlbaum Associates, 2003.
15.
WongB. L. W.BlandfordAnn. Field Research in HCI: A Case Study. New Zealand Chapter of ACM SIGCH, 2003.
16.
WongB. L. W.KodagodaNeesha. How Analysts Think: Anchoring, Laddering and Associations. 60 Vol. Los Angeles, CA: SAGE Publications, 2016.
