Figure 4: Task completion time under various conditions.
(mean 38.31 sec , std 7.94) with C1 also gives signif-
icant ANOVA. This indicates that only ”shadow” as
compare to ”No aid” also increases user performance.
Now we compare the mean 22.39 sec (std 3.10) of
C2 with that of C3 (24.48 sec std 3.93), the ANOVA
result is not significative. It shows that users had al-
most the same level of performance under C2 and C3.
On the other hand the comparison of C2, C3 with C4
(mean 38.31 sec , std 7.94) both have statistically sig-
nificant results (see figure 4).
5 CONCLUSIONS
In this paper we simulate the use of two string based
parallel robots in cooperative teleoperation task, two
users setting on two separate machines connected
through local network operated each robot. In addi-
tion the article proposed the use of sensory feedback
(i.e shadow, arrows and oral communication) and in-
vestigated their effects on cooperation, co-presence
and users performance. We observed that visual cues
(arrows and shadow) and oral communication greatly
helped users to cooperatively manipulate objects in
the VE. These aids,specially arrows and oral commu-
nication also enabled the users to perceive each others
actions. Our investigations will help in the develop-
ment of teleoperation systems for cooperative assem-
bly, surgical training and rehabilitation systems. Fu-
ture work may be carried out to integrate the modality
of force feedback.
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Communication
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