Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems 2017
DOI: 10.1145/3025453.3025463
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Cited by 18 publications
(5 citation statements)
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“…Our objective is to investigate how magnet-related input gestures can be mapped to ingame actions and how this mapping afects performance and user experience when compared to those using conventional sensors, namely, touch and tilt. We hypothesize that the tangibility and afordance of the external circular magnet would improve both, as reported by existing research in controller mapping [6,20,29], and tangible interactions [2].…”
Section: Introductionmentioning
confidence: 74%
See 3 more Smart Citations
“…Our objective is to investigate how magnet-related input gestures can be mapped to ingame actions and how this mapping afects performance and user experience when compared to those using conventional sensors, namely, touch and tilt. We hypothesize that the tangibility and afordance of the external circular magnet would improve both, as reported by existing research in controller mapping [6,20,29], and tangible interactions [2].…”
Section: Introductionmentioning
confidence: 74%
“…McEwan et al [20] compared three controllers of various mapping naturalness (directional, incomplete tangible, realistic tangible) and discovered that a more naturally mapped device could lead to a higher degree of control, and provide greater potential for intuitive use. Shorey and Girouard [29] created a controller with a bendable midsection and mapped its deformations as gestures for in-game actions and navigation. The authors reported that simple actions that were naturally mapped to gestures tend to be preferred amongst participants, and were performed signifcantly better than more complex and abstract actions.…”
Section: Naturalness In Control and Gameplay Experiencementioning
confidence: 99%
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“…Since then, while most research focuses on mapping bending gestures to GUI controls (e.g. navigation [14], gaming control [16,20] or video exploration [22]), only a few focus on mapping bending to viewpoint deformation. For example, inspired by the cross-cut principle of PaperLens [22], FlexPad [23] implements curved cross-cuts on volumetric data.…”
Section: Introductionmentioning
confidence: 99%