Papers 5 - HCI of learning novel gestures

The Design and Evaluation of Multitouch Marking Menus: Lepinski1,Grossman2,Fitzmaurice, chi 2010
–there are 31 possible combinations of putting fingers on a surface and they are called chords. this paper investigates performing all 31 comments in eight possible directions (N, NW, W, and so on).
-'Angular accuracy was very good, with an average angular error of only 5.6 degrees (Figure 7). In total, 98.2% of the gestures were completed with an angular accuracy of less than the 22.5 degrees which would be needed to select between eight radial items'
-' Chords with “gaps”, that is, requiring non-consecutive fingers to be depressed, tended to produce higher articulation times.'

GestureBar: Improving the Approachability of Gesture-based Interfaces Andrew Bragdon, Robert Zeleznik, Brian Williamson†, Timothy Miller, Joseph J. LaViola Jr., CHI 2009
- an attempt on creating a gesture learning environment for a diagram tool similar to the ribbon in the word 2007.
- extensive literature review on learning and presenting gestures. A combination of icons, animations, and descriptions were found to be best for teaching novices.

Experimental Analysis of Touch-Screen Gesture Designs in
Mobile Environments: Andrew Bragdon1, Eugene Nelson1, Yang Li2 and Ken Hinckley3, CHI 2011
-investigates the impact of distraction (walking, observing an object, performing mouse movement) on different types of mobile phone interaction (free shape gestures, bezel gestures, on-screen buttons)
-' We find that in the presence of environmental distractions, ges- tures can offer significant performance gains and reduced attentional load, while performing as well as soft buttons when the user‟s attention is focused on the phone'
- situation awareness task was to hold space button when a circle is displayed on a screen. Attention saturation task was to follow a dot with a computer mouse
–to simulate expert users every time an icon representing the gesture was displayed
–Participants were motivated to perform to their quickly and accurately with money incentives. reward was increased for a low average time, and decreased for a high error rate.
- The bezel gestures were found to be consistently faster and more accurate
- This result is excellent, showing that gestures can reduce user‟s attentional load over soft buttons, even though gestures involve reproducing geometry with some degree of accuracy and soft buttons can be performed in ~1.2 s

Gestural and Audio Metaphors as a Means of Control for Mobile Devices: Antti Pirhonen, Stephen Brewster and Christopher Holguin, chi 2002
- users were interacting with the touchscreen music player while walking. The advice was mounted on their hip. NASA TLX (with added annoyance measure) was used to record a workload, and the deviation from preferred walking speed was used as a measure of effort.
- The learning curve diagram was used to analyse the results: Y axis is a success rate of the last five trials. It looks really informative!

Squeeze Me, Hold Me, Tilt Me! An Exploration of Manipulative User Interfaces, Beverly ‘8;.Harrison, ‘Kenneth P. Fishkin, Anuj Gujar, Carlos Mochon*, Roy Want: chi 1998
- an attempt to add to a mobile digital text reader natural interactions known from reading a book. Series of tilt and pressure sensors were used to imitate turning pages and opening a book in a certain spot in the middle.