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Favoured attributes of in-air gestures in the home environment

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OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration

Pages 171 - 174

https://doi.org/10.1145/2541016.2541095

Published: 25 November 2013 Publication History

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Abstract

The home is an environment filled with an increasing number of fixtures and appliances, from doors and windows to kettles and chargers. Devices for in-air gestural recognition are also increasing in commercial availability. Appropriate attributes that make up natural in-air gestures have yet to be uniformly established, especially in relation to their use in the comfort of the home environment. Three studies were conducted, each informing the focus and construction of a gesture-recognition prototype for the following study. The preferred attributes of in-air gestures were examined; their use in conjunction with other modalities, the motion of in-air gestures, and feedback delay and transition time of an action as instigated by an in-air gesture. Our findings indicate natural actions that precede in-air gestures, topographical correlations between gesture and system response, and a desire for minimal effort. These results can be used as guidelines for the design of in-air gestures and systems for their recognition in environments within and beyond the home.

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Cited By

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Xu WLiang HZhao YYu DMonteiro DBrewster SFitzpatrick GCox AKostakos V(2019)DMoveProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300674(1-14)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300674
Groenewald CAnslow CIslam JRooney CPassmore PWong WFaily SJiang NDogan HJacqui T(2016)Understanding 3D mid-air hand gestures with interactive surfaces and displaysProceedings of the 30th International BCS Human Computer Interaction Conference: Fusion!10.14236/ewic/HCI2016.43(1-13)Online publication date: 11-Jul-2016
https://dl.acm.org/doi/10.14236/ewic/HCI2016.43
Erazo OPino JBrdiczka OChau PCarenini GPan SKristensson P(2015)Predicting Task Execution Time on Natural User Interfaces based on Touchless Hand GesturesProceedings of the 20th International Conference on Intelligent User Interfaces10.1145/2678025.2701394(97-109)Online publication date: 18-Mar-2015
https://dl.acm.org/doi/10.1145/2678025.2701394

Index Terms

Favoured attributes of in-air gestures in the home environment
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices
      1. Touch screens
    2. Interaction paradigms
  2. Interaction design
    1. Interaction design process and methods
      1. Interface design prototyping
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments

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Published In

OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration

November 2013

549 pages

ISBN:9781450325257

DOI:10.1145/2541016

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2013

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OzCHI '13

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Human Factors & Ergonomics Soc

OzCHI '13: Augmentation, Application, Innovation, Collaboration

November 25 - 29, 2013

Adelaide, Australia

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OzCHI '13 Paper Acceptance Rate 34 of 70 submissions, 49%;

Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

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Xu WLiang HZhao YYu DMonteiro DBrewster SFitzpatrick GCox AKostakos V(2019)DMoveProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300674(1-14)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290605.3300674
Groenewald CAnslow CIslam JRooney CPassmore PWong WFaily SJiang NDogan HJacqui T(2016)Understanding 3D mid-air hand gestures with interactive surfaces and displaysProceedings of the 30th International BCS Human Computer Interaction Conference: Fusion!10.14236/ewic/HCI2016.43(1-13)Online publication date: 11-Jul-2016
https://dl.acm.org/doi/10.14236/ewic/HCI2016.43
Erazo OPino JBrdiczka OChau PCarenini GPan SKristensson P(2015)Predicting Task Execution Time on Natural User Interfaces based on Touchless Hand GesturesProceedings of the 20th International Conference on Intelligent User Interfaces10.1145/2678025.2701394(97-109)Online publication date: 18-Mar-2015
https://dl.acm.org/doi/10.1145/2678025.2701394

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Recommendations

Recognizing Camera Wearer from Hand Gestures in Egocentric Videos: https://egocentricbiometric.github.io/

Evaluating the placement of arm-worn devices for recognizing variations of dynamic hand gestures

Comparing hand gestures and a gamepad interface for locomotion in virtual environments