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Grasping Microgestures: Eliciting Single-hand Microgestures for Handheld Objects

Published: 02 May 2019 Publication History

Abstract

Single-hand microgestures have been recognized for their potential to support direct and subtle interactions. While pioneering work has investigated sensing techniques and presented first sets of intuitive gestures, we still lack a systematic understanding of the complex relationship between microgestures and various types of grasps. This paper presents results from a user elicitation study of microgestures that are performed while the user is holding an object. We present an analysis of over 2,400 microgestures performed by 20 participants, using six different types of grasp and a total of 12 representative handheld objects of varied geometries and size. We expand the existing elicitation method by proposing statistical clustering on the elicited gestures. We contribute detailed results on how grasps and object geometries affect single-hand microgestures, preferred locations, and fingers used. We also present consolidated gesture sets for different grasps and object size. From our findings, we derive recommendations for the design of microgestures compatible with a large variety of handheld objects.

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References

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      cover image ACM Conferences
      CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
      May 2019
      9077 pages
      ISBN:9781450359702
      DOI:10.1145/3290605
      This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives International 4.0 License.

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      Published: 02 May 2019

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      Author Tags

      1. elicitation study
      2. gesture recognition
      3. gestures
      4. grasp
      5. microgestures
      6. object
      7. touch

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      • (2024)Designing More Private and Socially Acceptable Hand-to-Face Gestures for Heads-Up ComputingCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678994(637-639)Online publication date: 5-Oct-2024
      • (2024)HCMG: Human-Capacitance based Micro Gesture for VR/ARCompanion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/3675094.3678386(766-770)Online publication date: 5-Oct-2024
      • (2024)Understanding Gesture and Microgesture Inputs for Augmented Reality MapsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661630(409-423)Online publication date: 1-Jul-2024
      • (2024)GraV: Grasp Volume Data for the Design of One-Handed XR InterfacesProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661567(151-167)Online publication date: 1-Jul-2024
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      • (2024)ViObjectProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36435478:1(1-26)Online publication date: 6-Mar-2024
      • (2024)Emotion Embodied: Unveiling the Expressive Potential of Single-Hand GesturesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642255(1-17)Online publication date: 11-May-2024
      • (2024)Grip-Reach-Touch-Repeat: A Refined Model of Grasp to Encompass One-Handed Interaction with Arbitrary Form Factor DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642022(1-17)Online publication date: 11-May-2024
      • (2024)MarkAR: Exploring the Benefits of Combining Microgestures and Mid-Air Marks to Trigger Commands in Augmented RealityVirtual Reality and Mixed Reality10.1007/978-3-031-78593-1_11(163-181)Online publication date: 27-Nov-2024
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