title: Visual and haptic feedback contribute to tuning and online control during object manipulation.
abstract: The authors employed a virtual environment to investigate how humans use haptic and visual feedback in a simple, rhythmic object-manipulation task. The authors hypothesized that feedback would help participants identify the appropriate resonant frequency and perform online control adjustments. The 1st test was whether sensory feedback is needed at all; the 2nd was whether the motor system combines visual and haptic feedback to improve performance. Task performance was quantified in terms of work performed on the virtual inertia, ability to identify the correct rhythm, and variability of movement. Strict feedforward control was found to be ineffective for this task, even when participants had previous knowledge of the rhythm. Participants (N = 11) performed far better when feedback was available (11 times more work, 2.2 times more precise frequency, 30% less variability; p < .05 for all 3 performance measures). Using sensory feedback, participants were able to rapidly identify 4 different spring-inertia systems without foreknowledge of the corresponding resonant frequencies. They performed over 20% more work with 24% less variability when provided with both visual and haptic feedback than they did with either feedback channel alone (p < .05), providing evidence that they integrated online sensory channels. Whereas feedforward control alone led to poor performance, feedback control led to fast tuning or calibration of control according to the resonant frequency of the object, and to better control of the rhythmic movement itself.
authors.affiliation: Department of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109, USA.
authors.forename: Felix C
authors.initials: FC
authors.lastname: Huang
authors.forename: R Brent
authors.initials: RB
authors.lastname: Gillespie
authors.forename: Arthur D
authors.initials: AD
authors.lastname: Kuo
mesh_terms: D000223:Adaptation, Psychological; D000328:Adult; D000465:Algorithms; D000704:Analysis of Variance; D030141:Feedback, Psychological / Q000502:physiology*; D005260:Female; D006225:Hand / Q000294:innervation / Q000502:physiology; D018737:Hand Strength; D006801:Humans; D007699:Kinesthesis / Q000502:physiology*; D008297:Male; D008960:Models, Psychological; D046709:Pattern Recognition, Physiological / Q000502:physiology; D011597:Psychomotor Performance / Q000502:physiology*; D013647:Task Performance and Analysis; D014110:Touch / Q000502:physiology*; D014796:Visual Perception / Q000502:physiology*