Abstract
Collaborative environments today are very successful when used in multiplayer games and for meetings organizing, which gives an idea to explore its potentials in remotely controlled decentralized manufacturing. This survey is based on the experiment that involved 34 small collaborative groups including 68 students in Serbia, that have used the interface for remote collaborative control of manufacturing systems to control of CNC machine located in Portugal. Our previous surveys have shown that group work consumes less time than individual work in most working options. This paper examines influence of homogeneity of the groups. Results of statistical examination show that percentages of errors are significantly or highly significantly higher in homogeneous compared to a non-homogeneous groups. Therefore, it could be recommended to form heterogeneous groups when remotely controlling decentralized manufacturing processes.
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Acknowledgements
This work is supported by grants for bilateral cooperation project “Design and Evaluation of User Interfaces for Remote Collaborative Control of Manufacturing Systems” between Serbia and Portugal, financed by Serbian Ministry of Education, Science and Technological Development (MESTD) and Portuguese Foundation for Science and Technology - Fundação para a Ciência e a Tecnologia (FCT), respectively and grant SPRINCE - SAF€RA by MESTD.
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Appendix: Nomenclature
Appendix: Nomenclature
Nomenclature | |
|---|---|
AGE | Average age per group |
GPA | Grade point average per group with scale 6 to 10 |
CLT | Average computer literacy per group |
CKT | Average capability of knowledge transfer per group |
LNS | Average desirability for learning new software per group |
CKT | Average capability for knowledge transfer per group |
LST | Learning style - individual or in group |
GEN | Gender - male of female |
NOE | Number or percentage of errors in task execution |
NOC | Number or percentage of correct task executions |
HO | Homogenous group |
HO1 | Homogenous group for individual learning style |
HE | Heterogeneous group |
HE1 | Heterogeneous group for individual learning style |
WA | “Wall” interface |
WI | “Window” interface |
D | Desktop screen |
V | Video beam presentation |
N | Number of participants in the group |
Av | Mean value of the variable in the group |
Me | Median value of the variable in the group |
Sd | Standard deviation of the variable in the group |
cv (%) | Coefficient of variation for the group |
Kol | Kolmogorov normality test |
p | p value(level) of the test |
n.s. | Statistically non-significant result |
r 2 (%) | Coefficient of determination |
Sp. corr. | Spearman correlation |
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Brkic, V.S., Putnik, G., Veljkovic, Z.A., Shah, V., Essdai, A. (2018). Group Characteristics and Task Accuracy in Distributed Remote User Controlled Manufacturing as Collaborative Environment. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_4
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