Abstract
The present aim was to investigate the functionality of a new wireless
prototype called Face Interface. The prototype combines the use of
voluntary gaze direction and facial muscle activations, for pointing and
selecting objects on a computer screen, respectively. The subjective
and objective functionality of the prototype was evaluated with a series
of pointing tasks using either frowning (i.e., frowning technique) or
raising the eyebrows (i.e., raising technique) as the selection
technique. Pointing task times and accuracies were measured using three
target diameters (i.e., 25, 30, 40 mm), seven pointing distances (i.e.,
60, 120, 180, 240, 260, 450, and 520 mm), and eight pointing angles (0°,
45°, 90°, 135°, 180°, 225°, 270°, and 315°). The results showed that
the raising technique was faster selection technique than the frowning
technique for the objects that were presented in the pointing distances
from 60 mm to 260 mm. For those pointing distances the overall pointing
task times were 2.4 s for the frowning technique, and 1.6 s for the
raising technique. Fitts’ law computations showed that the correlations
for the Fitts’ law model were r = 0.77 for the frowning technique and r
= 0.51 for the raising technique. Further, the index of performance
(IP) value was 1.9 bits/s for the frowning technique and 5.4 bits/s for
raising the eyebrows technique. Based on the results, the prototype
functioned well and was adjustable so that two different facial
activations can be used in combination with gaze direction for pointing
and selecting objects on a computer screen.
Original language | English |
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Pages (from-to) | 1-9 |
Journal | Interacting with Computers |
Volume | 24 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2012 |
MoE publication type | A1 Journal article-refereed |
Keywords
- Eye Tracking
- Facial Muscle Activations
- Human-Computer Interaction
- Fitts law