BikeGesture

Tan, Yanke; Yoon, Sang Ho; Ramani, Karthik

doi:10.1145/3027063.3053075

Cited by 22 publications

(3 citation statements)

References 21 publications

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“…Indeed, Soliman et al proposed a design space for thumb-and-finger microgestures from which they instanciated a set of 50+ microgestures [44]. The microgesture-based modality is gaining much attention from its ability to be used eyes-free while performing a primary task [54], such as driving [12,19] or biking [46], and more generally while grasping an object [43]. Wambecke et al proposed M[eye]cro, a 2D selection technique to interact in a cockpit which combines eye-gaze and microgestures.…”

Section: Designing a Distinct Disambiguation Phasementioning

confidence: 99%

3D Selection in Mixed Reality: Designing a Two-Phase Technique To Reduce Fatigue

Chaffangeon Caillet,

Goguey,

Nigay

2023

2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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Mid-air pointing is widely used for 3D selection in Mixed Reality but leads to arm fatigue. In a first exploratory experiment we study a two-phase design and compare modalities for each phase: mid-air gestures, eye-gaze and microgestures. Results suggest that eye-gaze and microgestures are good candidates to reduce fatigue and improve interaction speed. We therefore propose two 3D selection techniques: Look&MidAir and Look&Micro. Both techniques include a first phase during which users control a cone directed along their eye-gaze. Using the flexion of their non-dominant hand index finger, users pre-select the objects intersecting this cone. If several objects are pre-selected, a disambiguation phase is performed using direct mid-air touch for Look&MidAir or thumb to finger microgestures for Look&Micro. In a second study, we compare both techniques to the standard raycasting technique. Results show that Look&MidAir and Look&Micro perform similarly. However they are 55% faster, perceived easier to use and are less tiring than the baseline. We discuss how the two techniques could be combined for greater flexibility and for object manipulation after selection.

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Section: Designing a Distinct Disambiguation Phasementioning

confidence: 99%

3D Selection in Mixed Reality: Designing a Two-Phase Technique To Reduce Fatigue

Chaffangeon Caillet,

Goguey,

Nigay

2023

2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)

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“…al [7] investigated properties of single-hand microgestures, including actions and fingers used, but in an empty-hands setting without objects. Several studies have investigated gestures on self-sustained objects, such as steering wheels and bike handles [2,11,44]. Our work is different in that users had to continuously hold the handheld objects.…”

Section: Elicitation Studies Of Gestural Interactionmentioning

confidence: 99%

Grasping Microgestures

Sharma

Roo

Steimle

2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

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“…Behavioral observation: The effectiveness of the final gesture set can also be evaluated through observing behavioral performance during gesture interaction tasks, Vogiatzidakis et al [15] measured task completion time, errors (false positives and false negatives), and task success. Tan et al [64] measured reaction time to examine the performance of individual microgestures.…”

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confidence: 99%

Exploring Methods to Optimize Gesture Elicitation Studies: A Systematic Literature Review

Cheng,

Wu,

Xiao

2024

IEEE Access

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Gesture elicitation is a fundamental method for constructing gesture-based interactive systems. Existing research has shown that this method allows users' knowledge to serve as a design basis, minimizing biases that may occur from relying excessively on an expert's preference. However, how to conduct effective gesture elicitation studies remains an uncertain and open-ended issue. Through a thorough literature review, this study aims to identify important aspects that have significant impacts on the implementation of the elicitation study. The main findings of this paper are as follows: (1) Factors such as the choice of participants, referents, elicitation techniques, elicitation environments, and tasks can have a significant impact on the results of gesture elicitation; (2) Researchers have proposed various metrics for selecting gesture sets and evaluating their effects, but there is still debate over the sufficiency of these metrics; (3) Various methods have been proposed to improve gesture elicitation research, but there is still a lack of broad consensus on the best practices for gesture elicitation research, how to evaluate and report results, and how to compare results across studies. These findings indicate that gesture elicitation has become a valuable research and practical tool, but further study is needed to utilize it better.

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BikeGesture

Cited by 22 publications

References 21 publications

3D Selection in Mixed Reality: Designing a Two-Phase Technique To Reduce Fatigue

3D Selection in Mixed Reality: Designing a Two-Phase Technique To Reduce Fatigue

Grasping Microgestures

Exploring Methods to Optimize Gesture Elicitation Studies: A Systematic Literature Review

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