inFORM: dynamic physical affordances and constraints through shape and object actuation

By Sean Follmer, Daniel Leithinger, A. Olwal, Akimitsu Hogge, Hiroshi Ishii. ACM Symposium on User Interface Software and Technology, 2013

683 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/83b281ee37928539111a4e72478f25101446184f

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. Hrvoje Benko
2. Christian Holz
3. Andrew D. Wilson

In Human-Computer Interaction

1. Hrvoje Benko
2. Eyal Ofek
3. Christian Holz
4. Andrew D. Wilson

Citations in the corpus

• Opportunities and Challenges for Data Physicalization (2015, neutral): “The TUI community is only starting to consider data exploration scenarios [18], while the Visualization community only recently started to explore physical designs [75] and carry out studies on physicalizations [34, 66].”
• NormalTouch and TextureTouch: High-fidelity 3D Haptic Shape Rendering on Handheld Virtual Reality Controllers (2016, background): “inFORM [12] explored the affordances of shape and object actuation when using a larger tactile array display with 30x30 actuated “pixels” that cover the area of approximately 15 sq.”