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Designing, Engineering, and Evaluating Gesture User Interfaces

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Vanderdonckt, Jean [UCL] Vatavu, Radu-Daniel [University Stefan cel Mare of Suceava]

This course will introduce participants to the three main stages of the development life cycle of gesture-based interactions: (i) how to design a gesture user interface (UI) by carefully considering key aspects, such as gesture recognition techniques, variability in gesture articulation, properties of invariance (sampling, direction, position, scale, rotation), and good practices for gesture set design, (ii) how to implement a gesture UI with existing recognizers, software architecture, and libraries, and (iii) how to evaluate a gesture user interface with the help of various metrics of user performance. The course will also cover a discussion about the wide range of gestures, such as touch, finger, wrist, hand, arm, and whole-body gestures. Participants will be engaged to try out various tools on their own laptops and will leave the course with a set of useful resources for prototyping and evaluating gesture-based interactions in their own projects.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Access type Accès libre
Publication date 2018
Language Anglais
Conference "2018 ACM Conference on Human Factors in Computing Systems - CHI '18", Montreal QC, Canada (du 21/4/2018 au 26/4/2018)
Peer reviewed yes
Host document "Extended Abstracts of the 2018 ACM Conference on Human Factors in Computing Systems - CHI '18"- p. C22 (ISBN : 978-1-4503-5621-3)
Publisher ACM Press (New York)
Publication status Publié
Affiliations UCL - SSH/LouRIM - Louvain Research Institute in Management and Organizations
UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
Keywords Gesture user interfaces ; gesture recognition ; engineering interactive systems ; user interface design ; gesture analysis ; gesture production ; methodology
Links
  1. Wobbrock Jacob O., Morris Meredith Ringel, Wilson Andrew D., User-defined gestures for surface computing, 10.1145/1518701.1518866
  2. Wobbrock Jacob O., Wilson Andrew D., Li Yang, Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes, 10.1145/1294211.1294238
  3. Vatavu Radu-Daniel, Visual Impairments and Mobile Touchscreen Interaction: State-of-the-Art, Causes of Visual Impairment, and Design Guidelines, 10.1080/10447318.2017.1279827
  4. Vatavu Radu-Daniel, Improving Gesture Recognition Accuracy on Touch Screens for Users with Low Vision, 10.1145/3025453.3025941
  5. Vatavu Radu-Daniel, Vogel Daniel, Casiez Géry, Grisoni Laurent, Estimating the Perceived Difficulty of Pen Gestures, Human-Computer Interaction – INTERACT 2011 (2011) ISBN:9783642237706 p.89-106, 10.1007/978-3-642-23771-3_9
  6. Vatavu Radu-Daniel, Anthony Lisa, Wobbrock Jacob O., Gestures as point clouds : a $P recognizer for user interface prototypes, 10.1145/2388676.2388732
  7. Vatavu Radu-Daniel, Anthony Lisa, Wobbrock Jacob O., Relative accuracy measures for stroke gestures, 10.1145/2522848.2522875
  8. Vatavu Radu-Daniel, Wobbrock Jacob O., Between-Subjects Elicitation Studies : Formalization and Tool Support, 10.1145/2858036.2858228
  9. Vatavu Radu-Daniel, Wobbrock Jacob O., Formalizing Agreement Analysis for Elicitation Studies : New Measures, Significance Test, and Toolkit, 10.1145/2702123.2702223
  10. Rekik Yosra, Vatavu Radu-Daniel, Grisoni Laurent, Understanding Users' Perceived Difficulty of Multi-Touch Gesture Articulation, 10.1145/2663204.2663273
  11. Nielsen Michael, Störring Moritz, Moeslund Thomas B., Granum Erik, A Procedure for Developing Intuitive and Ergonomic Gesture Interfaces for HCI, Gesture-Based Communication in Human-Computer Interaction (2004) ISBN:9783540210726 p.409-420, 10.1007/978-3-540-24598-8_38
  12. Nacenta Miguel A., Kamber Yemliha, Qiang Yizhou, Kristensson Per Ola, Memorability of pre-designed and user-defined gesture sets, 10.1145/2470654.2466142
  13. Leiva Luis A., Martín-Albo Daniel, Vatavu Radu-Daniel, Synthesizing Stroke Gestures Across User Populations : A Case for Users with Visual Impairments, 10.1145/3025453.3025906
  14. Kieffer Suzanne, Coyette Adrien, Vanderdonckt Jean, User interface design by sketching : a complexity analysis of widget representations, 10.1145/1822018.1822029
  15. Coyette Adrien, Schimke Sascha, Vanderdonckt Jean, Vielhauer Claus, Trainable Sketch Recognizer for Graphical User Interface Design, Lecture Notes in Computer Science (2007) ISBN:9783540747949 p.124-135, 10.1007/978-3-540-74796-3_14
  16. Coyette Adrien, Kieffer Suzanne, Vanderdonckt Jean, Multi-fidelity Prototyping of User Interfaces, Lecture Notes in Computer Science (2007) ISBN:9783540747949 p.150-164, 10.1007/978-3-540-74796-3_16
  17. Cao Xiang, Zhai Shumin, Modeling human performance of pen stroke gestures, 10.1145/1240624.1240850
  18. Beuvens Francois, Vanderdonckt Jean, UsiGesture: An environment for integrating pen-based interaction in user interface development, 10.1109/rcis.2012.6240449
  19. Beuvens François, Vanderdonckt Jean, Designing graphical user interfaces integrating gestures, 10.1145/2379057.2379116
  20. François Beuvens and Jean Vanderdonckt. 2014. UsiGesture: Test and Evaluation of an Environment for Integrating Gestures in User Interfaces, Romanian Journal of Human-Computer Interaction 7, 2, 139--160.
  21. Appert Caroline, Zhai Shumin, Using strokes as command shortcuts : cognitive benefits and toolkit support, 10.1145/1518701.1519052
  22. Lisa Anthony and Jacob O. Wobbrock. 2010. A lightweight multistroke recognizer for user interface prototypes. In Proc. of GI '10, 245--252.
  23. Lisa Anthony, Radu-Daniel Vatavu, and Jacob O. Wobbrock. 2013. Understanding the consistency of users' pen and finger stroke gesture articulation. In Proc. of GI '13, 87--94.
Bibliographic reference Vanderdonckt, Jean ; Vatavu, Radu-Daniel. Designing, Engineering, and Evaluating Gesture User Interfaces.2018 ACM Conference on Human Factors in Computing Systems - CHI '18 (Montreal QC, Canada, du 21/4/2018 au 26/4/2018). In: Extended Abstracts of the 2018 ACM Conference on Human Factors in Computing Systems - CHI '18, ACM Press : New York2018, p. C22
Permanent URL http://hdl.handle.net/2078.1/197082