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Strategies for accelerating on-line learning of hotkeys

Published: 29 April 2007 Publication History

Abstract

Hotkeys are extremely useful in leveraging expert performance, but learning them is a slow process. This paper investigates alternative menu designs that can motivate and help users remember associations between menu commands and hotkeys. Building upon previous work on paired-associate learning, we suggest that the transition to expert use can be accelerated by manipulating feedback and cost associated with menu selection. We evaluate five designs in a pilot study and then two of the most promising ones in a formal experiment, showing that the speed of hotkey learning can indeed be significantly increased with little modifications to the standard menu/hotkey paradigm.

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    cover image ACM Conferences
    CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
    April 2007
    1654 pages
    ISBN:9781595935939
    DOI:10.1145/1240624
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 29 April 2007

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    Author Tags

    1. hotkeys
    2. learning

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    CHI07: CHI Conference on Human Factors in Computing Systems
    April 28 - May 3, 2007
    California, San Jose, USA

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    CHI '07 Paper Acceptance Rate 182 of 840 submissions, 22%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    Cited By

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    • (2024)Palmrest+: Expanding Laptop Input Space with Shear Force on Palm-Resting AreaProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676371(1-14)Online publication date: 13-Oct-2024
    • (2024)Understanding and generating realistic command distributionsProceedings of the 35th Conference on l'Interaction Humain-Machine10.1145/3649792.3649799(1-11)Online publication date: 25-Mar-2024
    • (2024)Constrained Highlighting in a Document Reader can Improve Reading ComprehensionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642314(1-10)Online publication date: 11-May-2024
    • (2023)Computational Model of the Transition from Novice to Expert Interaction TechniquesACM Transactions on Computer-Human Interaction10.1145/350555730:5(1-33)Online publication date: 23-Sep-2023
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    • (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
    • (2022)Evaluating Singing for Computer Input Using Pitch, Interval, and MelodyProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517691(1-15)Online publication date: 29-Apr-2022
    • (2022)Select or Suggest? Reinforcement Learning-based Method for High-Accuracy Target Selection on TouchscreensProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517472(1-15)Online publication date: 29-Apr-2022
    • (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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