More Web Proxy on the site http://driver.im/

research-article

Gaze - grabber distance in expert and novice forest machine operators: the effects of automatic boom control

Authors:

Roman BednarikAuthors Info & Claims

ETRA '20 Adjunct: ACM Symposium on Eye Tracking Research and Applications

Article No.: 26, Pages 1 - 7

https://doi.org/10.1145/3379157.3391414

Published: 02 June 2020 Publication History

Abstract

Eye-hand coordination is a central skill in both everyday and expert visuo-motor tasks. In forest machine cockpits during harvest, the operators need to perform the eye-hand coordination and spatial navigation effectively to control the boom of the forwarder smoothly and quickly to achieve high performance. Because it is largely unknown how this skill is acquired, we conducted a first eye-tracking study of its kind to uncover the strategies expert and novice operators use. In an authentic training situation, both groups used an industry standard machine with- and without intelligent boom control support, and we measured their gaze and boom control strategies.

References

[1]

Douglas Bates, Martin Mächler, Ben Bolker, and Steve Walker. 2014. Fitting linear mixed-effects models using lme4. arXiv preprint arXiv:1406.5823(2014).

[2]

Roman Bednarik, Jani Koskinen, Hana Vrzakova, Piotr Bartczak, and Antti-Pekka Elomaa. 2018. Blink-based estimation of suturing task workload and expertise in microsurgery. In Proceedings: 31st IEEE International Symposium on Computer-Based Medical Systems-CBMS 2018.

[3]

J Douglas Crawford, W Pieter Medendorp, and Jonathan J Marotta. 2004. Spatial transformations for eye–hand coordination. Journal of neurophysiology 92, 1 (2004), 10–19.

[4]

Olivier Friard and Marco Gamba. 2016. BORIS: A free, versatile open-source event-logging software for video/audio coding and live observations. Methods in Ecology and Evolution 7 (05 2016). https://doi.org/10.1111/2041-210X.12584

[5]

Andreas Gegenfurtner, Erno Lehtinen, and Roger Säljö. 2011. Expertise Differences in the Comprehension of Visualizations : a Meta-Analysis of Eye-Tracking Research in Professional Domains. (2011), 523–552. https://doi.org/10.1007/s10648-011-9174-7

[6]

Van Gog, Copyright Elsevier, Halszka Jarodzka, Katharina Scheiter, Peter Gerjets, Tamara Van Gog, and Knowledge Media. 2010. In the eyes of the beholder : How experts and novices interpret dynamic stimuli. (2010), 1–33.

[7]

Carola Häggström, Martin Englund, and Ola Lindroos. 2015. Examining the gaze behaviors of harvester operators: an eye-tracking study. International journal of forest engineering 26, 2 (2015), 96–113.

[8]

Mary Hayhoe and Dana Ballard. 2005. Eye movements in natural behavior. Trends in cognitive sciences 9, 4 (2005), 188–194.

[9]

Kalle Kärhä, Esa Rönkkö, and Seppo-Ilmari Gumse. 2004. Productivity and cutting costs of thinning harvesters. International Journal of Forest Engineering 15, 2 (2004), 43–56.

[10]

Peter Kasarskis, Jennifer Stehwien, Joey Hickox, Anthony Aretz, and Chris Wickens. 2001. Comparison of expert and novice scan behaviors during VFR flight. In Proceedings of the 11th international symposium on aviation psychology, Vol. 6. Citeseer, 325–335.

[11]

Alexandra Kuznetsova, Per Bruun Brockhoff, Rune Haubo Bojesen Christensen, 2015. Package ‘lmertest’. R package version 2, 0 (2015).

[12]

Michael F Land. 2009. Vision, eye movements, and natural behavior. Visual neuroscience 26, 1 (2009), 51–62.

[13]

Michael F Land and Mary Hayhoe. 2001. In what ways do eye movements contribute to everyday activities?Vision research 41, 25-26 (2001), 3559–3565.

[14]

Jussi Manner, Olle Gelin, Anders Mörk, and Martin Englund. 2017. Forwarder crane’s boom tip control system and beginner-level operators. 51, 2 (2017), 1–10.

[15]

Jussi Manner, Anders Mörk, and Martin Englund. 2019. Comparing forwarder boom-control systems based on an automatically recorded follow-up dataset. 53, 2 (2019), 1–15.

[16]

Wes McKinney. 2010. Data Structures for Statistical Computing in Python. In Proceedings of the 9th Python in Science Conference, Stéfan van der Walt and Jarrod Millman (Eds.). 51 – 56.

[17]

Emmeline Nugent, Cormac Joyce, Gustavo Perez-Abadia, Johannes Frank, Michael Sauerbier, Paul Neary, Anthony G Gallagher, Oscar Traynor, and Sean Carroll. 2012. Factors influencing microsurgical skill acquisition during a dedicated training course. Microsurgery 32, 8 (2012), 649–656.

[18]

Luc Proteau and Heather Carnahan. 2001. What causes specificity of practice in a manual aiming movement: Vision dominance or transformation errors?Journal of Motor Behavior 33, 3 (2001), 226–234.

[19]

F Thomas Purfürst and Jörn Erler. 2011. The human influence on productivity in harvester operations. International Journal of Forest Engineering 22, 2 (2011), 15–22.

[20]

R Core Team. 2017. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/

[21]

Joseph Redmon and Ali Farhadi. 2018. Yolov3: An incremental improvement. arXiv preprint arXiv:1804.02767(2018).

[22]

Jonathan L Rosch and Jennifer J Vogel-Walcutt. 2013. A review of eye-tracking applications as tools for training. Cognition, technology & work 15, 3 (2013), 313–327.

[23]

Uta Sailer, J Randall Flanagan, and Roland S Johansson. 2005. Eye–hand coordination during learning of a novel visuomotor task. Journal of Neuroscience 25, 39 (2005), 8833–8842.

[24]

Nadine B Sarter, Randall J Mumaw, and Christopher D Wickens. 2007. Pilots’ monitoring strategies and performance on automated flight decks: An empirical study combining behavioral and eye-tracking data. Human factors 49, 3 (2007), 347–357.

[25]

Daniel M Wolpert, Jörn Diedrichsen, and J Randall Flanagan. 2011. Principles of sensorimotor learning. Nature Reviews Neuroscience 12, 12 (2011), 739–751.

Cited By

Grootjen JWeingärtner HMayer S(2024)Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive SystemsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642086(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642086
Shahbaz Badr AHsiao DRundel Sde Amicis R(2024)Leveraging data-driven and procedural methods for generating high-fidelity visualizations of real forestsEnvironmental Modelling & Software10.1016/j.envsoft.2023.105899172:COnline publication date: 17-Apr-2024
https://dl.acm.org/doi/10.1016/j.envsoft.2023.105899
Grootjen JWeingärtner HMayer S(2023)Highlighting the Challenges of Blinks in Eye Tracking for Interactive SystemsProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3589202(1-7)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3589202
Show More Cited By

Recommendations

Transect-Plot Inventory, a Method for Arid and Semi Arid Forest: Case Study Rahim Abad Pistachio Forest
IACSIT-SC '09: Proceedings of the 2009 International Association of Computer Science and Information Technology - Spring Conference

Determining the proper inventory method in arid and semi arid region is of great importance, hence transect-plot inventory method was proposed. Rahim Abad Pistachio forest with an area about 1882 ha located in 75 km of north of Mashhad city. These ...
Expert system for identification of economically important insect pests in commercial teak plantations

Smartphones are appropriate for the use of system for forestry pests identification.ENTOTECA system can ensure the reduction of crop production loss due to insect damage.The system proposed is aligned with forest certifications and environmental ...
Improving the accuracy of gaze input for interaction
ETRA '08: Proceedings of the 2008 symposium on Eye tracking research & applications

Using gaze information as a form of input poses challenges based on the nature of eye movements and how we humans use our eyes in conjunction with other motor actions. In this paper, we present three techniques for improving the use of gaze as a form of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

ETRA '20 Adjunct: ACM Symposium on Eye Tracking Research and Applications

June 2020

200 pages

ISBN:9781450371353

DOI:10.1145/3379157

Editors:
Andreas Bulling
University of Stuttgart, Germany
,
Anke Huckauf
Ulm University, Germany
,
Eakta Jain
University of Florida, USA
,
Ralph Radach
University of Wuppertal, Germany
,
Daniel Weiskopf
University of Stuttgart, Germany

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 June 2020

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ETRA '20

Sponsor:

ETRA '20: 2020 Symposium on Eye Tracking Research and Applications

June 2 - 5, 2020

Stuttgart, Germany

Acceptance Rates

Overall Acceptance Rate 69 of 137 submissions, 50%

Upcoming Conference

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
96
Total Downloads

Downloads (Last 12 months)1
Downloads (Last 6 weeks)1

Reflects downloads up to 12 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Grootjen JWeingärtner HMayer S(2024)Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive SystemsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642086(1-23)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642086
Shahbaz Badr AHsiao DRundel Sde Amicis R(2024)Leveraging data-driven and procedural methods for generating high-fidelity visualizations of real forestsEnvironmental Modelling & Software10.1016/j.envsoft.2023.105899172:COnline publication date: 17-Apr-2024
https://dl.acm.org/doi/10.1016/j.envsoft.2023.105899
Grootjen JWeingärtner HMayer S(2023)Highlighting the Challenges of Blinks in Eye Tracking for Interactive SystemsProceedings of the 2023 Symposium on Eye Tracking Research and Applications10.1145/3588015.3589202(1-7)Online publication date: 30-May-2023
https://dl.acm.org/doi/10.1145/3588015.3589202
Koskinen JTorkamani-Azar MHussein AHuotarinen ABednarik R(2022)Automated tool detection with deep learning for monitoring kinematics and eye-hand coordination in microsurgeryComputers in Biology and Medicine10.1016/j.compbiomed.2021.105121141:COnline publication date: 1-Feb-2022
https://dl.acm.org/doi/10.1016/j.compbiomed.2021.105121

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents