GestureCards

Author:

Hesenius Marc1,Gruhn Volker1

Affiliation:

1. University of Duisburg-Essen, Essen, Germany

Abstract

Describing gestures in detail has various advantages for project teams: communication is simplified, interaction concepts are documented, and technical decisions are supported. Common gesture notations focus on textual or graphical elements only, but we argue that hybrid approaches have various advantages, especially because some gesture traits are easier to describe with text and others with arrows or icons. We present GestureCards, a hybrid gesture notation mixing graphical and textual elements we developed to describe multi-touch gestures. To evaluate our approach, we compared how users perceive and are affected by different notations. First, we compared GestureCards with a textual notation and observed advantages in terms of speed, correctness, and confidence. Second, we asked participants to compare GestureCards, a textual, and a graphical notation and rate them. The results indicate that the participants' perception depends on the gesture, but GestureCards received consistently good ratings. Third, we monitored several participants working with GestureCards solving practical development tasks for gesture-based applications and they felt well supported by GestureCards.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Age-Based Differences in Drone Control Gestures: An Exploratory Study;Proceedings of the 35th Australian Computer-Human Interaction Conference;2023-12-02

2. µGlyph: a Microgesture Notation;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

3. Gesture Hub Design: A Remote User Study Method for Evaluating the Quality of Experience in Mobile Phone-Based Gesture Interaction;HCI International 2023 – Late Breaking Papers;2023

4. Avoid diluting democracy by algorithms;Nature Machine Intelligence;2022-09-29

5. A Novel 3D Editor for Gesture Design Based on Labanotation;Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021);2021-06-13

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