OctoPocus: a dynamic guide for learning gesture-based command sets

By Olivier Bau, Wendy E. Mackay. ACM Symposium on User Interface Software and Technology, 2008

333 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/d7088b8102edc27106a0ad8cee9bc6c4845edfe9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Kris Luyten
2. Karin Coninx
3. Jo Vermeulen
4. Elise van den Hoven
5. Mohan Kankanhalli
6. Brian Y. Lim
7. Tovi Grossman

In Human-Computer Interaction

1. Ashraf Abdul
2. Danding Wang
3. Kris Luyten
4. Karin Coninx
5. Jo Vermeulen
6. Elise van den Hoven
7. Mohan Kankanhalli
8. Brian Y. Lim

Citations in the corpus

• YouMove: enhancing movement training with an augmented reality mirror (2013, background): “Octopocus provides a dynamic, real-time guide for learning 2D stroke gestures [3].”
• Crossing the bridge over Norman's Gulf of Execution: revealing feedforward's true identity (2013, methodology): “Examples of sequential feedforward are the OctoPocus [1] and ShadowGuides [8] dynamic guides, the TVE and SpeakCup [30].”
• Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda (2018, background): “Other works explored how to de-sign for implicit interaction with sensing-based systems [14, 75, 86, 175], and help people predict what will happen through feedforward [12, 176].”