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manually controlled usage. This shift towards the direct
manual guidance of the robot was also measurable in two
dimensions of UX: Usability and Performance Expectancy.
The first was investigated using the System Usability Scale
(SUS). The second describes one’s belief that using the
system will help him or her to attain gains in job performance,
and was measured using two items which were derived from
[4]. Table II shows the increase in the dimensions Usability,
Learnability and Performance Expectancy.
Fig. 7 - Robot B - Tool
During expansion stage 1 experiments (with robot A) the
user had to use the Touch Panel 95.4% of the time while
manual guidance mode was used only 4.6% of the time. This
was due to cumbersome navigation in menus and submenus
on the robot teach pendant during the parameterization
process. As a consequence a more linear programming
approach is proposed for expansion stage 2 which led to the
integration of the XROB programming system. Fig. 8 - programming activities
Fig. 9 - programming time with / without additional programming effort for
parameterization of machine vision algorithms
Fig. 9 shows the programming time for robot A (T1) and robot
B (T2). Total programming time including machine vision
increased while training effect and additional input modalities
(FT-sensor powered hand guidance,…) yield a net decrease
of programming time.
Fig. 10 shows that the small acceptance of the manual guidance
input modality in robot A can be increased dramatically if the
implementation addresses user requirements and wishes.
Fig. 10 - preferred input modalities for robot A and B
During the video analysis of robot B the expressed
emotions and thoughts of the participants were clustered into
several main categories. Qualitative feedback mainly focused
on ergonomic details, such as the shape of the handholds on
the robot, the positions and drag of the buttons/switches, and
the fluency of the manual robot guidance. All of the
volunteers pointed out that the robot should actively support
them during the teaching process. Main feedback clusters
TABLE I
AVERAGE DURATIONS OF THE TEACHING PROCESS IN STUDY I
AND II INCLUDING THE PERCENTAGE OF BOTH CONTROL MODES
Duration (m:s) Robot A Robot B
Average Total [SD] 6:25 [2:27] 3:36 [1:03]
Remote Control [%] 6:25 [100.00] 1:01 [28.43]
Physical [%] 0:00 [0.00] 2:35 [71.57]
TABLE III
USER EXPERIENCE IN STUDY I AND II INCLUDING
PERFORMANCE EXPECTANCY (PE), SYSTEM USABILITY SCALE (SUS),
AND ITS SUBSCALES USABILITY (SUS-U) AND LEARNABILITY (SUS-L)
Duration (m:s) Robot A Robot B Diff. [%]
PE [0-5] 2.40 [1.08] 3.40 [0.89] 1.0 [20.0]
SUS-U [0-4] 2.00 [0.73] 2.53 [0.27] 0.5 [12.5]
SUS-L [0-4] 1.70 [0.76] 2.60 [0.65] 0.9 [22.5]
SUS [0-100] 48.50 [13.99] 63.50 [3.79] 15.0 [15.0]
48
Proceedings of the OAGM&ARW Joint Workshop
Vision, Automation and Robotics
- Titel
- Proceedings of the OAGM&ARW Joint Workshop
- Untertitel
- Vision, Automation and Robotics
- Autoren
- Peter M. Roth
- Markus Vincze
- Wilfried Kubinger
- Andreas Müller
- Bernhard Blaschitz
- Svorad Stolc
- Verlag
- Verlag der Technischen Universität Graz
- Ort
- Wien
- Datum
- 2017
- Sprache
- englisch
- Lizenz
- CC BY 4.0
- ISBN
- 978-3-85125-524-9
- Abmessungen
- 21.0 x 29.7 cm
- Seiten
- 188
- Schlagwörter
- Tagungsband
- Kategorien
- International
- Tagungsbände