research-article

Investigating the Post-Training Persistence of Expert Interaction Techniques

Authors:

Benjamin Lafreniere,

Andy CockburnAuthors Info & Claims

ACM Transactions on Computer-Human Interaction (TOCHI), Volume 24, Issue 4

Article No.: 29, Pages 1 - 46

https://doi.org/10.1145/3119928

Published: 23 August 2017 Publication History

Abstract

Expert interaction techniques enable users to greatly improve their performance; however, to realize these advantages, the user must first acquire the skill necessary to use a technique, then choose to use it over competing novice techniques. This article investigates several factors that may influence whether use of an expert technique persists when the context of use changes. Two studies examine the effect of changing performance requirements, and find that a high performance requirement imposed in a training context can effectively push users to adopt an expert technique, and that use of the technique is maintained when the requirement is subsequently reduced or removed. In a final study, performance requirement, high-level task, and environment of use are changed—participants played a training game to learn the menu for a drawing application, which they then used to complete a series of drawings over the following week. Participants exhibited a somewhat surprising “all-or-nothing” effect, using the expert technique nearly exclusively or not at all, and maintaining this behavior over a range of qualitatively different tasks. This suggests that switching to an expert technique involves a global change by the user, rather than an incremental change as suggested by previous work.

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Cited By

Beattie E(2023)Maximizing Learner Engagement and Minimizing Transactional Distance With Positive Psychology InterventionsBecoming and Supporting Online Adjunct Faculty in a Gig Economy10.4018/978-1-6684-7776-2.ch007(120-145)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-7776-2.ch007
Giannisakis EDimara EGoujon ABailly GBottoni PPanizzi E(2022)Revisiting Menu Design Through the Lens of Implicit Statistical LearningProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531113(1-9)Online publication date: 6-Jun-2022
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Fennedy KSrivastava AMalacria SPerrault S(2022)Towards a Unified and Efficient Command Selection Mechanism for Touch-Based Devices Using Soft Keyboard HotkeysACM Transactions on Computer-Human Interaction10.1145/347651029:1(1-39)Online publication date: 7-Jan-2022
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Index Terms

Investigating the Post-Training Persistence of Expert Interaction Techniques
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Transactions on Computer-Human Interaction

ACM Transactions on Computer-Human Interaction Volume 24, Issue 4

August 2017

182 pages

ISSN:1073-0516

EISSN:1557-7325

DOI:10.1145/3132166

Editor:
Ken Hinckley
Microsoft Research

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Copyright © 2017 ACM.

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Publication History

Published: 23 August 2017

Accepted: 01 June 2017

Revised: 01 June 2017

Received: 01 December 2016

Published in TOCHI Volume 24, Issue 4

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Beattie E(2023)Maximizing Learner Engagement and Minimizing Transactional Distance With Positive Psychology InterventionsBecoming and Supporting Online Adjunct Faculty in a Gig Economy10.4018/978-1-6684-7776-2.ch007(120-145)Online publication date: 30-Jun-2023
https://doi.org/10.4018/978-1-6684-7776-2.ch007
Giannisakis EDimara EGoujon ABailly GBottoni PPanizzi E(2022)Revisiting Menu Design Through the Lens of Implicit Statistical LearningProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531113(1-9)Online publication date: 6-Jun-2022
https://dl.acm.org/doi/10.1145/3531073.3531113
Fennedy KSrivastava AMalacria SPerrault S(2022)Towards a Unified and Efficient Command Selection Mechanism for Touch-Based Devices Using Soft Keyboard HotkeysACM Transactions on Computer-Human Interaction10.1145/347651029:1(1-39)Online publication date: 7-Jan-2022
https://dl.acm.org/doi/10.1145/3476510
Bailly GMalacria S(2022)Command SelectionHandbook of Human Computer Interaction10.1007/978-3-319-27648-9_19-1(1-35)Online publication date: 12-Mar-2022
https://doi.org/10.1007/978-3-319-27648-9_19-1
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Fennedy KMalacria SLee HPerrault S(2020)Investigating Performance and Usage of Input Methods for Soft Keyboard Hotkeys22nd International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3379503.3403552(1-12)Online publication date: 5-Oct-2020
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Cui WZheng JLewis BVogel DBi XBrewster SFitzpatrick GCox AKostakos V(2019)HotStrokesProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300395(1-13)Online publication date: 2-May-2019
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