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AVATAR: Advancing Virtual Aptitude through TActo-cognitive Response systems (AVATAR)
Project
Project code: 2219NR022
Contract period: 01.03.2019
- 28.02.2022
Budget: 149,034 Euro
Purpose of research: Applied research
Keywords: digitalization, bioeconomie, renewable ressources
More than 400 million m3 of timber are cut in Europe each year. Modern cut-to-length (CTL) machines (harvester and forwarder) collect detailed information on each tree, potentially providing a comprehensive data foundation for the management of European forests. Further, these mechanized harvesting systems provide an improved work environment and lower impact on the forest. However, operating this sophisticated machinery efficiently within a range of forest conditions requires high skill levels fostered by continuous training and learning. Still, graduates of current training programs and even experienced operators show productivity differences of 40%. In order to overcome the high entry barrier, and further enhance safe and efficient machine operations, the project develops new cognitive mentoring and assistance applications for new and experienced operators of timber harvesting and extraction machinery. Methods of cognitive science will be applied in providing directed feedback in formats and at identified periods which promote cognition of the operator to guide him towards more balanced working methods and techniques. Through this the project contributes to efficiency improvements, improved timber resource utilization, and a better and safer workplace with lower environmental impact, all while improving the knowledge base for a sustainable and competitive bio-economy in Europe.
Section overview
Subjects
- Forestry
- Renewable Resources
- Computer science
Framework programme
Funding programme
Excutive institution
Leibniz Research Centre for Working Environment and Human Factors (IfADo)
