Strategies for accelerating on-line learning of hotkeys

Strategies for accelerating on-line learning of hotkeys
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加速热键在线学习的策略

DOI:
10.1145/1240624.1240865
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发表时间:
2007
期刊:
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Ravin Balakrishnan
Ravin Balakrishnan
中科院分区:
--
文献类型:
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作者:
Tovi Grossman;Pierre Dragicevic;Ravin Balakrishnan

文献摘要

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热键对于利用专家性能非常有用,但学习它们是一个缓慢的过程。本文研究了可以激发并帮助用户记住菜单命令和热键之间关联的替代菜单设计。基于之前关于配对关联学习的工作,我们建议可以通过操纵与菜单选择相关的反馈和成本来加速向专家使用的过渡。我们在试点研究中评估了五种设计,然后在正式实验中评估了两种最有前途的设计,结果表明,只需对标准菜单/热键范例进行少量修改,热键学习的速度确实可以显着提高。
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.