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Quantifying the Impact of Making and Breaking Interface Habits
International Journal of Human-Computer Studies, Start page: 102461
Swansea University Author: Leigh Clark
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PDF | Accepted Manuscript
Accepted Manuscript can be viewed here - https://arxiv.org/abs/2005.06842
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DOI (Published version): 10.1016/j.ijhcs.2020.102461
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...
Published in: | International Journal of Human-Computer Studies |
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ISSN: | 1071-5819 |
Published: |
Elsevier BV
2020
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URI: | https://cronfa.swan.ac.uk/Record/cronfa54265 |
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2020-11-28T04:09:58Z |
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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 MACS 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 Mathematics and Computer Science School COLLEGE CODE MACS 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 |
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Journal article |
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International Journal of Human-Computer Studies |
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102461 |
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2020 |
institution |
Swansea University |
issn |
1071-5819 |
doi_str_mv |
10.1016/j.ijhcs.2020.102461 |
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Elsevier BV |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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Faculty of Science and Engineering |
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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 |
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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 |
2020-05-12T13:57:36Z |
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11.047631 |