Haptic feedback is known to improve teleoperation task performance for a number of tasks, and one important question is which haptic cues are the most important for each specific task. This research quantifies human performance in an assembly task for two types of haptic cues: low-frequency (LF) force feedback and high-frequency (HF) force feedback. A human subjects study was performed with those two main factors: LF force feedback on/off and HF force (acceleration) feedback on/off. All experiments were performed using a three degree-of-freedom teleoperator where the slave device has a low intrinsic stiffness, while the master device on the other hand is stiff. The results show that the LF haptic feedback reduces impact forces, but does not influence low-frequency contact forces or task completion time. The HF information did not improve task performance, but did reduce the mental load of the teleoperator, but only in combination with the LF feedback.

1.
Christiansson
,
G. A. V.
,
van der Linde
,
R. Q.
, and
Tang
,
Y.
, 2006, “
Size Discrimination in Haptic Teleoperation: Influence of Teleoperator Stiffness
,”
Proceedings of the IEEE International Conference on Robotics and Automation
,
Lake Buena Vista, FL
, May, pp.
3263
3267
.
2.
Christiansson
,
G. A. V.
,
Mulder
M.
, and
van der Helm
,
F. C. T.
, 2006, “
Slave Device Stiffness and Teleoperator Stability
,”
EuroHaptics Conference
, Paris, France.
3.
O’Malley
,
M. K.
, and
Goldfarb
,
M.
, 2004, “
The Effect of Virtual Surface Stiffness on the Haptic Perception of Detail
,”
IEEE/ASME Trans. Mechatron.
1083-4435,
9
(
2
), pp.
448
454
.
4.
LaMotte
,
R. H.
, 2000, “
Tactual Discrimination of Softness
,”
J. Neurophysiol.
,
83
(
1
), pp.
1777
1786
. 0022-3077
5.
Kuchenbecker
,
K. J.
,
Fiene
,
J.
, and
Niemeyer
,
G.
, 2006, “
Improving Contact Realism Through Event-Based Haptic Feedback
,”
IEEE Trans. Vis. Comput. Graph.
1077-2626,
12
(
2
), pp.
219
230
.
6.
Konstantinis
,
D.
, and
Howe
,
R.
, 1995, “
Tactile Display of Vibratory Information in Teleoperation and Virtual Environments
,”
Presence
,
4
(
4
), pp.
387
402
.
7.
Johansson
,
R. S.
, 1996, “
Sensory and Memory Information in the Control of Dextrous Manipulation
,”
Neural Bases of Motor Behaviour
(
NATO Advanced Studies Institute Series
),
F.
Lacquaniti
and
P.
Viviani
, eds.,
Kluwer
,
Dordrecht
.
8.
Yokokohji
,
Y.
,
Iida
,
Y.
, and
Yoshikawa
,
T.
, 2003, “
‘Toy Problem” as the Benchmark Test for Teleoperation Systems
,”
Adv. Rob.
,
17
(
3
), pp.
253
273
. 0169-1864
9.
Christiansson
,
G. A. V.
, and
v. d. Helm
,
F. C. T.
, 2007, “
The Low-Stiffness Teleoperator Slave: A Trade-Off Between Performance and Stability
,”
Int. J. Robot. Res.
,
26
(
3
), pp.
287
301
. 0278-3649
10.
Salcudean
,
S. E.
, and
Stocco
,
L.
, 2000, “
Isotropy and Actuator Optimization in Haptic Interface Design
,”
IEEE International Conference on Robotics and Automation
,
IEEE
,
New York
.
11.
Pratt
,
J.
,
Krupp
,
B.
, and
Morse
,
C.
, 2002, “
Series Elastic Actuators for High Fidelity Force Control
,”
Ind. Robot
,
29
(
3
), pp.
234
241
. 0143-991X
12.
Lawrence
,
D. A.
, 1993, “
Stability and Transparency in Bilateral Teleoperation
,”
IEEE Trans. Rob. Autom.
1042-296X,
9
(
5
), pp.
624
637
.
13.
Stevens
,
J.
, 1992, “
Repeated Measures Analysis
,”
Applied Multivariate Statistics for the Social Sciences
,
2nd ed.
,
Lawrence Erlbaum Associates
,
Mahwah, NJ
, pp.
438
488
.
14.
Hart
,
S. G.
, and
Staveland
,
L. E.
, 1988, “
Development of NASA-TLX (Task Load Index)
,”
Human Mental Workload
,
P. A.
Hankock
and
N.
Meshkati
, eds.,
North-Holland
,
Amsterdam
, pp.
239
250
.
15.
Hannaford
,
B.
,
Wood
,
L.
,
McAffee
,
D. A.
, and
Zak
,
H.
, 1991, “
Performance Evaluation of a Six-Axis Generalized Force-Reflecting Teleoperator
,”
IEEE Trans. Syst. Man Cybern.
0018-9472,
21
(
3
), pp.
620
633
.
16.
Hogan
,
N.
, 1985, “
Impedance Control: An Approach to Manipulation
,”
ASME J. Dyn. Syst., Meas., Control
,
107
(
11
), pp.
1
24
. 0022-0434
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