The effect of trial-by-trial adaptation on conflicts in haptic shared control for free-air teleoperation tasks

A.W. De Jonge, J.G.W. Wildenbeest, H. Boessenkool, D.A. Abbink

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)
4 Downloads (Pure)

Abstract

Haptic shared control can improve execution of teleoperation and driving tasks. However, shared control designs may suffer from conflicts between individual human operators and constant haptic assistance when their desired trajectories differ, leading to momentarily increased forces, discomfort, or even deteriorated performance. This study investigates ways to reduce conflicts between individual human operators and a haptic shared controller by modifying supported trajectories. Subjects (n=12) performed a repetitive movement task in an abstract environment with varying spatio-temporal constraints, both during manual control and while supported by haptic shared control. Four types of haptic shared control were compared, combining two design properties: the initial supported trajectory (either the centerline of the environment or an individualized trajectory based on manual control trials), and trial-by-trial adaptation of guidance towards previously performed trajectories (either present or absent). Trial-by-trial adaptation of guidance reduced conflicts compared to non-adaptive guidance, whether the initial trajectory was individualized or not. Without trial-by-trial adaptation, individualized trajectories also reduced conflicts, but not completely: when guided, operators adapt their preferred trajectories. In conclusion, trial-by-trial adaptation is the most promising approach to mitigate conflicts during repetitive motion tasks.

Original languageEnglish
Article number7247745
Pages (from-to)111-120
Number of pages10
JournalIEEE Transactions on Haptics
Volume9
Issue number1
DOIs
Publication statusPublished - 1 Jan 2016
Externally publishedYes

Keywords

  • Adaptation
  • Control Effort
  • Haptic Shared Control
  • Learning
  • Task Performance
  • Virtual Fixtures

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