Analysis of Human Remnant in Pursuit and Preview Tracking Tasks. Issue 19 (2019)
- Record Type:
- Journal Article
- Title:
- Analysis of Human Remnant in Pursuit and Preview Tracking Tasks. Issue 19 (2019)
- Main Title:
- Analysis of Human Remnant in Pursuit and Preview Tracking Tasks
- Authors:
- van der El, K.
Pool, D.M.
Mulder, Max - Abstract:
- Abstract: In manual pursuit and preview tracking tasks, humans apply feedforward control to exploit available information of the target trajectory to follow. While the human's linear, time-invariant dynamics in such tasks are well-understood and have been modeled in the quasi-linear framework, the remaining nonlinear and time-invariant control behavior, the human remnant, is typically ignored. This paper extends the current state-of-the-art theories of human remnant, which are applicable to compensatory tracking tasks only, to the more common and relevant pursuit and preview tracking tasks. Data are presented from three human-in-the-loop tracking experiments. The ratio of the remnant relative to the linear control output is quantified in the frequency domain, and remnant spectra are computed and modeled. The results show that the injected remnant is identical in compensatory, pursuit, and preview tasks, regardless of the task's controlled element dynamics, preview time, and target trajectory bandwidth. The presented remnant data and models can be used together with already available linear, time-invariant models, to better predict characteristics of human control behavior in pursuit and preview tracking tasks, enabling the design of human assistance systems.
- Is Part Of:
- IFAC-PapersOnLine. Volume 52:Issue 19(2019)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 52:Issue 19(2019)
- Issue Display:
- Volume 52, Issue 19 (2019)
- Year:
- 2019
- Volume:
- 52
- Issue:
- 19
- Issue Sort Value:
- 2019-0052-0019-0000
- Page Start:
- 145
- Page End:
- 150
- Publication Date:
- 2019
- Subjects:
- Human remnant -- manual control -- pursuit -- preview -- quasi-linear modeling
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2019.12.165 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17056.xml