FingerArc and FingerChord: Supporting Novice to Expert Transitions with Guided Finger-Aware Shortcuts

Hand Gesture RecognitionUniversal & Inclusive DesignPrototyping & User Testing

Keyboard shortcuts can be more efficient than graphical input, but they are underused by most users. To alleviate this, we present "Guided Finger-Aware Shortcuts" to reduce the gulf between graphical input and shortcut activation. The interaction technique works by recognising when a special hand posture is used to press a key, then allowing secondary finger movements to select among related shortcuts if desired. Novice users can learn the mappings through dynamic visual guidance revealed by holding a key down, but experts can trigger shortcuts directly without pausing. Two variations are described: FingerArc uses the angle of the thumb, and FingerChord uses a second key press. The techniques are motivated by an interview study identifying factors hindering the learning, use, and exploration of keyboard shortcuts. A controlled comparison with conventional keyboard shortcuts shows the techniques encourage overall shortcut usage, make interaction faster, less error-prone, and provide advantages over simply adding visual guidance to standard shortcuts.

Quick Actions

Share

Share this page

ios_share

https://hci.top/en/papers/uist/3101/2018

AdRecommended

Learn AI Coding at CodeNow

At a Glance

Paper Snapshot

fact_check
dataset
Source
UIST
calendar_month
Year
2018
emoji_events
Award
No award tagged
group
Authors
4 authors
sell
Subtopics
Hand Gesture Recognition, Universal & Inclusive Design, Prototyping & User Testing
work
Professions
article
Content Status
Abstract only
hub
Related Papers
1 related papers