Interactive Mediation Techniques for Error-Aware Gesture Input Systems

Rawan Alghofaili, Naveen Sendhilnathan, Ting Zhang, Tovi Grossman, Michael Glueck, Tanya R. Jonker, Ben Lafreniere

Letter Of Changes:

- Made edits to several figure and table captions to clarify terminology.
- Added a sentence to clarify why the recovery times for the automatic techniques is not zero in Section 5.1.2
- Added summary statistics for the baseline condition in Section 5.1.3.
- Added F-test statistics for the ANOVAs reported in Sec 5.1.2 and 5.1.3
- Added a note to the Future Work and Limitations section acknowledging that the unequal sample sizes between the mediation and baseline conditions may have affected the statistical validity of the error recovery time analysis
- Added a justification to the desirability of error recovery in the Future Work and Limitations section

Keywords: recognizer error, gaze behavior, eye tracking, adaptive user interfaces

Abstract: Input false-positive errors, where a system recognizes an input action that the user did not perform, have been shown to be particularly costly for user experience. Recent work has suggested that eye-gaze behavior immediately following an input event can be used to detect whether the input was intended by a user or was the result of a false-positive error. The ability to detect these errors could enable systems that assist the user with error recovery, but little is currently known about how such $\text{\emph{error mediation techniques}}$ might be designed, or the benefits they could provide. This paper presents an initial investigation of the design of error mediation techniques, and an evaluation of their potential benefits. A controlled study demonstrated that error mediation techniques can save time when recovering from errors by helping users to notice and resolve these errors quickly when they occur.

Submission Number: 32