Sharing Secrets with Agents:Improving Sensitive Disclosures Using Chatbots

Buckley, Oliver ORCID: https://orcid.org/0000-0003-1502-5721, Nurse, Jason R. C., Wyer, Natalie ORCID: https://orcid.org/0000-0002-8169-976X, Dawes, Helen, Hodges, Duncan, Earl, Sally ORCID: https://orcid.org/0000-0002-3283-0274 and Belen Saglam, Rahime (2021) Sharing Secrets with Agents:Improving Sensitive Disclosures Using Chatbots. In: HCI International 2021 - Posters - 23rd HCI International Conference, HCII 2021, Proceedings. Communications in Computer and Information Science . Springer, Virtual, Online, pp. 400-407. ISBN 9783030786410

Preview

PDF (Sharing_Secrets_with_Agents (3)) - Accepted Version Download (161kB) | Preview

Abstract

There is an increasing shift towards the use of conversational agents, or chatbots, thanks to their inclusion in consumer hardware (e.g. Alexa, Siri and Google Assistant) and the growing number of essential services moving online. A chatbot allows an organisation to deal with a large volume of user queries with minimal overheads, which in turn allows human operators to deal with more complex issues. In this paper we present our work on maximising responsible, sensitive disclosures to chatbots. The paper focuses on two key studies, the first of which surveyed participants to establish the relative sensitivity of a range of disclosures. From this, we found that participants were equally comfortable making financial disclosures to a chatbot as to a human. The second study looked to support the dynamic personalisation of the chatbot in order to improve the disclosures. This was achieved by exploiting behavioural biometrics (keystroke and mouse dynamics) to identify demographic information about anonymous users. The research highlighted that a fusion approach, combining both keyboard and mouse dynamics, was the most reliable predictor of these biographic characteristics.

Item Type:	Book Section
Uncontrolled Keywords:	biometrics,chatbot,conversational agent,disclosure,information inference,keystroke dynamics,mouse dynamics,computer science(all),mathematics(all) ,/dk/atira/pure/subjectarea/asjc/1700
Faculty \ School:	Faculty of Science > School of Computing Sciences Faculty of Social Sciences > School of Psychology
UEA Research Groups:	Faculty of Science > Research Groups > Cyber Security Privacy and Trust Laboratory
Related URLs:	http://www.scopus.com/inward/record.url?...
Depositing User:	LivePure Connector
Date Deposited:	01 Sep 2021 23:40
Last Modified:	18 Dec 2024 01:11
URI:	https://ueaeprints.uea.ac.uk/id/eprint/81264
DOI:	10.1007/978-3-030-78642-7_54

Downloads

Actions (login required)

View Item