The potential of hybridising interactive eye tracking technology with decision support in medical image interpretation

Laura McLaughlin; RR Bond; Jonathan McConnell; Ciara Hughes; Sonyia McFadden

doi:10.14236/ewic/HCI2018.91

The potential of hybridising interactive eye tracking technology with decision support in medical image interpretation

Laura McLaughlin, RR Bond, Jonathan McConnell, Ciara Hughes, Sonyia McFadden

Research output: Contribution to conference › Paper › peer-review

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Abstract

This paper explores the use and future of interactive eye tracking technology within medical image interpretation. Eye tracking technology gives us an insight into the process and approaches taken by a reporting clinician during image interpretation. Application of this technology with verbalisation of thought processes and artificial intelligence could progress education and image interpretation further.

Original language	English
Pages	1-4
Number of pages	4
DOIs	https://doi.org/10.14236/ewic/HCI2018.91
Publication status	Published (in print/issue) - 10 May 2018
Event	British HCI Conference 2018 - Belfast, Belfast, Northern Ireland Duration: 2 Jul 2018 → 6 Jul 2018

Conference

Conference	British HCI Conference 2018
Abbreviated title	BHCI2018
Country/Territory	Northern Ireland
City	Belfast
Period	2/07/18 → 6/07/18

Keywords

eye tracking
AI
radiology
xrays

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.14236/ewic/HCI2018.91

BHCI-2018_paper_4Author Accepted Manuscript, 250 KB

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AU - Bond, RR

AU - McConnell, Jonathan

AU - Hughes, Ciara

AU - McFadden, Sonyia

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AB - This paper explores the use and future of interactive eye tracking technology within medical image interpretation. Eye tracking technology gives us an insight into the process and approaches taken by a reporting clinician during image interpretation. Application of this technology with verbalisation of thought processes and artificial intelligence could progress education and image interpretation further.

KW - eye tracking

KW - AI

KW - radiology

KW - xrays

UR - http://bit.ly/HCI2018-Proceedings

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DO - 10.14236/ewic/HCI2018.91

M3 - Paper

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The potential of hybridising interactive eye tracking technology with decision support in medical image interpretation

Abstract

Conference

Keywords

UN SDGs

Access to Document

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