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Quantifying the Impact of Making and Breaking Interface Habits

Diego Garaialde, Christopher P. Bowers, Charlie Pinder, Priyal Shah, Shashwat Parashar, Leigh Clark Orcid Logo, Benjamin R. Cowan

International Journal of Human-Computer Studies, Start page: 102461

Swansea University Author: Leigh Clark Orcid Logo

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Abstract

The frequency with which people interact with technology means that users may develop interface habits, i.e. fast, automatic responses to stable interface cues. Design guidelines often assume that interface habits are beneficial. However, we lack quantitative evidence of how the development of habit...

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Published in: International Journal of Human-Computer Studies
ISSN: 1071-5819
Published: Elsevier BV 2020
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URI: https://cronfa.swan.ac.uk/Record/cronfa54265
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first_indexed 2020-05-18T13:08:17Z
last_indexed 2020-11-28T04:09:58Z
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spelling 2020-11-27T11:56:28.0270881 v2 54265 2020-05-12 Quantifying the Impact of Making and Breaking Interface Habits 004ef41b90854a57a498549a462f13a0 0000-0002-9237-1057 Leigh Clark Leigh Clark true false 2020-05-12 SCS The frequency with which people interact with technology means that users may develop interface habits, i.e. fast, automatic responses to stable interface cues. Design guidelines often assume that interface habits are beneficial. However, we lack quantitative evidence of how the development of habits actually affect user performance and an understanding of how changes in the interface design may affect habit development. Our work quantifies the effect of habit formation and disruption on user performance in interaction. Through a forced choice lab study task (n=19) and in the wild deployment (n=18) of a notification dialog experiment on smartphones, we show that people become more accurate and faster at option selection as they develop an interface habit. Crucially this performance gain is entirely eliminated once the habit is disrupted. We discuss reasons for this performance shift and analyse some disadvantages of interface habits, outlining general design patterns on how to both support and disrupt them. Journal Article International Journal of Human-Computer Studies 102461 Elsevier BV 1071-5819 Interface habits, user behaviour, breaking habit, interaction science, quantitative research 12 5 2020 2020-05-12 10.1016/j.ijhcs.2020.102461 http://dx.doi.org/10.1016/j.ijhcs.2020.102461 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2020-11-27T11:56:28.0270881 2020-05-12T00:00:00.0000000 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Diego Garaialde 1 Christopher P. Bowers 2 Charlie Pinder 3 Priyal Shah 4 Shashwat Parashar 5 Leigh Clark 0000-0002-9237-1057 6 Benjamin R. Cowan 7 54265__17272__16f7a3ae3a694198aa53f0ec10bfa778.pdf 2005.06842.pdf 2020-05-18T11:16:24.1627598 Output 544858 application/pdf Accepted Manuscript true 2022-05-12T00:00:00.0000000 Accepted Manuscript can be viewed here - https://arxiv.org/abs/2005.06842 false
title Quantifying the Impact of Making and Breaking Interface Habits
spellingShingle Quantifying the Impact of Making and Breaking Interface Habits
Leigh Clark
title_short Quantifying the Impact of Making and Breaking Interface Habits
title_full Quantifying the Impact of Making and Breaking Interface Habits
title_fullStr Quantifying the Impact of Making and Breaking Interface Habits
title_full_unstemmed Quantifying the Impact of Making and Breaking Interface Habits
title_sort Quantifying the Impact of Making and Breaking Interface Habits
author_id_str_mv 004ef41b90854a57a498549a462f13a0
author_id_fullname_str_mv 004ef41b90854a57a498549a462f13a0_***_Leigh Clark
author Leigh Clark
author2 Diego Garaialde
Christopher P. Bowers
Charlie Pinder
Priyal Shah
Shashwat Parashar
Leigh Clark
Benjamin R. Cowan
format Journal article
container_title International Journal of Human-Computer Studies
container_start_page 102461
publishDate 2020
institution Swansea University
issn 1071-5819
doi_str_mv 10.1016/j.ijhcs.2020.102461
publisher Elsevier BV
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
url http://dx.doi.org/10.1016/j.ijhcs.2020.102461
document_store_str 1
active_str 0
description The frequency with which people interact with technology means that users may develop interface habits, i.e. fast, automatic responses to stable interface cues. Design guidelines often assume that interface habits are beneficial. However, we lack quantitative evidence of how the development of habits actually affect user performance and an understanding of how changes in the interface design may affect habit development. Our work quantifies the effect of habit formation and disruption on user performance in interaction. Through a forced choice lab study task (n=19) and in the wild deployment (n=18) of a notification dialog experiment on smartphones, we show that people become more accurate and faster at option selection as they develop an interface habit. Crucially this performance gain is entirely eliminated once the habit is disrupted. We discuss reasons for this performance shift and analyse some disadvantages of interface habits, outlining general design patterns on how to both support and disrupt them.
published_date 2020-05-12T04:07:41Z
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