63 research outputs found
Defining the fetal origin of MLL-AF4 infant leukemia highlights specific fatty acid requirements
The Impact of Social Support Networks on Maternal Employment: A Comparison of West German, East German and Migrant Mothers of Pre-School Children
L’effet des intentions et des comportements concurrents sur les intentions de procréation à court terme et la procréation ultérieure
Evolution des intentions en matière de taille de famille en début d’âge adulte: une approche biographique
Attitudes, normes et contrôle perçu du comportement: Une explication des intentions de fécondité en Bulgarie
Perspectives on parents' contribution to their children's early literacy development in multicultural western societies
Direct haptic feedback benefits control performance during steering
Haptic feedback can be introduced in control devices to improve steering performance, such as in driving and flying scenarios. For example, direct haptic feedback (DHF) can be employed to guide the operator towards an optimal trajectory. It remains unclear how DHF magnitude could interact with user performance. A weak DHF might not be perceptible to the user, while a large DHF could result in overreliance. To assess the influence of DHF, five naive participants performed a compensatory tracking task across different DHF magnitudes. During the task, participants were seated in front of an artificial horizon display and were asked to compensate for externally induced disturbances in the roll dimension by manipulating a control joystick. Our results indicate that haptic feedback benefits steering performance across all tested DHF levels. This benefit increases linearly with increasing DHF magnitude. Interestingly, shared control performance was always inferior to the same DHF system without human input. This could be due to involuntary resistance that results from the arm-dynamics
The Role of Direct Haptic Feedback in a Compensatory Tracking Task
Haptic feedback systems can be designed to assist vehicular steering by sharing manual control with the human operator. For example, direct haptic feedback (DHF) forces, that are applied over the control device, can guide the operator towards an optimized trajectory, which he can either augment, comply with or resist according to his preferences. DHF has been shown to improve performance (Olivari et al. submitted) and increase safety (Tsoi et al. 2010). Nonetheless, the human operator may not always benefit from the haptic support system. Depending on the amount of the haptic feedback, the operator might demonstrate an over- reliance or an opposition to this haptic assistance (Forsyth and MacLean 2006). Thus, it is worthwhile to investigate how different levels of haptic assistance influence shared control performance. The current study investigates how different gain levels of DHF influence performance in a compensatory tracking task. For this purpose, 6 participants were evenly divided into two groups according to their previous tracking experience. During the task, they had to compensate for externally induced disturbances that were visualized as the difference between a moving line and a horizontal reference standard. Briefly, participants observed how an unstable aircraft symbol, located in the middle of the screen, deviated in the roll axis from a stable artificial horizon. In order to compensate for the roll angle, participants were instructed to use the control joystick. Meanwhile, different DHF forces were presented over the control joystick for gain levels of 0, 12.5, 25, 50 and 100 . The maximal DHF level was chosen according to the procedure described in (Olivari et al. 2014) and represents the best stable performance of skilled human operators. The participants’ performance was defined as the reciprocal of the median of the root mean square error (RMSE) in each condition. Figure 1a shows that performance improved with in- creasing DHF gain, regardless of experience levels. To evaluate the operator’s contribution, relative to the DHF contribution, we calculated the ratio of overall performance to estimated DHF performance without human input. Figure 1b shows that the subject’s contribution in both groups decreased with increasing DHF up to the 50 condition. The contribution of experienced subjects plateaued between the 50 and 100 DHF levels. Thus, the increase in performance for the 100 condition can mainly be attributed to the higher DHF forces alone. In contrast, the inexperienced subjects seemed to completely rely on the DHF during the 50 condition, since the operator’s contribution approximated 1. However, this changed for the 100 DHF level. Here, the participants started to actively contribute to the task (operator’s contribution [1). This change in behavior resulted in performance values similar to those of the experienced group Our findings suggest that the increase of haptic support with our DHF system does not necessarily result in over-reliance and can improve performance for both experienced and inexperienced subjects
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