This HTML5 document contains 34 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n11doi:10.1007/
dctermshttp://purl.org/dc/terms/
n2https://kar.kent.ac.uk/id/eprint/
wdrshttp://www.w3.org/2007/05/powder-s#
n20http://purl.org/ontology/bibo/status/
dchttp://purl.org/dc/elements/1.1/
n16https://kar.kent.ac.uk/id/subject/
rdfshttp://www.w3.org/2000/01/rdf-schema#
n21https://demo.openlinksw.com/about/id/entity/https/raw.githubusercontent.com/annajordanous/CO644Files/main/
n12https://kar.kent.ac.uk/id/eprint/87341#
n3http://eprints.org/ontology/
n18https://kar.kent.ac.uk/id/event/
bibohttp://purl.org/ontology/bibo/
n19https://kar.kent.ac.uk/id/org/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
owlhttp://www.w3.org/2002/07/owl#
n15https://kar.kent.ac.uk/87341/
n4https://kar.kent.ac.uk/id/document/
n13https://kar.kent.ac.uk/id/
xsdhhttp://www.w3.org/2001/XMLSchema#
n9https://demo.openlinksw.com/about/id/entity/https/www.cs.kent.ac.uk/people/staff/akj22/materials/CO644/
n7https://kar.kent.ac.uk/id/person/

Statements

Subject Item
n2:87341
rdf:type
bibo:AcademicArticle bibo:Article n3:EPrint n3:ConferenceItemEPrint
rdfs:seeAlso
n15:
owl:sameAs
n11:978-3-030-78642-7_54
n3:hasAccepted
n4:3235314
n3:hasDocument
n4:3235334 n4:3235335 n4:3235336 n4:3235337 n4:3235314 n4:3235321
dc:hasVersion
n4:3235314
dcterms:title
Sharing Secrets with Agents: Improving Sensitive Disclosures using Chatbots
wdrs:describedby
n9:export_kar_RDFN3.n3 n21:export_kar_RDFN3.n3
dcterms:date
2021-03-01
dcterms:creator
n7:ext-r.belen-saglam-724@kent.ac.uk n7:ext-j.r.c.nurse@kent.ac.uk n7:ext-2db2864acac1ce0c6bd4236922e58544 n7:ext-23eb293a7f8137d47fa59a4c88d1f507 n7:ext-02247db8ce335ac04a2df6315f134f74 n7:ext-7658f2c9c333baeee19dbc11f4d27d9b n7:ext-a72b2d934e020e23741f588fad0a40a0
bibo:status
n20:peerReviewed n20:published
dcterms:publisher
n19:ext-1c5ddec173ca8cdfba8b274309638579
bibo: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.
dcterms:isPartOf
n13:repository
dcterms:subject
n16:T n16:H
bibo:authorList
n12:authors
bibo:presentedAt
n18:ext-0b78f852da5b01d1ff45dcbc31d55a80