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Personalised Focus-Metaphor Interfaces: An Eye Tracking Study on User Confusion

Laqua, S; Pate, G; Sasse, MA; (2006) Personalised Focus-Metaphor Interfaces: An Eye Tracking Study on User Confusion. In: Heinecke, AM and Paul, H, (eds.) Proceedings of Mensch und Computer 2006: Mensch und Computer im Strukturwandel. (pp. pp. 175-184). Oldenbourg Verlag: Munich, Germany. Green open access

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Abstract

Personalised web interfaces are expected to improve user interaction with web content. But since the delivery of personalised web content is currently not reliable, a key question is how much users may be confused and slowed down when personalised delivery goes wrong. The aim of the study reported in this paper was to investigate a worst-case scenario of failed personalised content presentation – a dynamic presentation of content where content was dynamically presented, but content units were selected at random. We employed eye-tracking to monitor the differences in users’ attention and navigation when interacting with this “dysfunctional” dynamic interface, and a static version. We found that subjects who interacted with the dysfunctional version took 10% longer to read their material than those with static content, and displayed a different strategy in scanning the interface. The relatively small difference in navigation time in first-time viewers of dynamically presented content, and of the results from the eye-tracking patterns, suggests that users are not significantly confused and slowed down by dynamic presentation of content when using a Focus-Metaphor interface

Type: Proceedings paper
Title: Personalised Focus-Metaphor Interfaces: An Eye Tracking Study on User Confusion
Event: Mensch und Computer 2006: Mensch und Computer im Strukturwandel
ISBN-13: 978-3-486-58129-4
Open access status: An open access version is available from UCL Discovery
Publisher version: https://dl.gi.de/handle/20.500.12116/6871
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/20338
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