Establishing causality in complex human interactions: Identifying breakdowns of intentionality

Peter Goodison, Peter Johnson, Joanne Thoms

Research output: Chapter or section in a book/report/conference proceedingBook chapter

Abstract

People in complex scenarios face the challenge of understanding the purpose and effect of other human and computational behaviour on their own goals through intent recognition. They are left asking what caused person or system 'x' to do that? The necessity to provide this support human-computer interaction has increased alongside the deployment of autonomous systems that are to some degree unsupervised. This paper aims to examine intent recognition as a form of decision making about causality in complex systems. By finding the needs and limitations of this decision mechanism it is hoped this can be applied to the design of systems to support the awareness of information cues and reduce the number of intent recognition breakdowns between people and autonomous systems. The paper outlines theoretical foundations for this approach using simulation theory and process models of intention. The notion of breakdowns is then applied to intent recognition breakdowns in a diary study to gain insight into the phenomena.
Original languageEnglish
Title of host publicationComplex Sciences - First International Conference, Complex 2009, Revised Papers
Place of PublicationHeidelberg
PublisherSpringer
Pages1631-1641
Number of pages11
VolumeLNICST, volume 5
ISBN (Electronic)978-3-642-02469-6
ISBN (Print)978-3-642-02468-9
DOIs
Publication statusPublished - 2009
Event1st International Conference on Complex Sciences: Theory and Applications, Complex 2009, February 23, 2009 - February 25, 2009 - Shanghai, China
Duration: 1 Jan 2009 → …

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
PublisherSpringer Verlag

Conference

Conference1st International Conference on Complex Sciences: Theory and Applications, Complex 2009, February 23, 2009 - February 25, 2009
Country/TerritoryChina
CityShanghai
Period1/01/09 → …

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