On the nature of eye-hand coordination in natural steering behavior

Navarro, Jordan; Hernout, Emma; Reynaud, Emanuelle

doi:10.1371/journal.pone.0242818

Cited by 12 publications

(3 citation statements)

References 58 publications

(77 reference statements)

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“…To pursue this issue, drivers' eye movements have been used as an indicator of the cognitive processes engaged while driving (Lappi & Mole, 2018), including when driving with automation (Mars & Navarro, 2012;Navarro et al, 2021Navarro et al, , 2020Navarro et al, , 2019 or even during the transition of control from passive to active driving (see Deniel & Navarro, 2023 for a review). Although several neuroimaging studies have been carried out on real and simulated driving, under a variety of experimental conditions (see Ware et al, 2020 for a review), only sparse information about the brain activity engaged during passive driving compared to active driving is available (Sakihara et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving

Jordan,

Emanuelle

2023

Brain and Behavior

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BackgroundCar driving is more and more automated, to such an extent that driving without active steering control is becoming a reality. Although active driving requires the use of visual information to guide actions (i.e., steering the vehicle), passive driving only requires looking at the driving scene without any need to act (i.e., the human is passively driven).Materials & MethodsAfter a careful search of the scientific literature, 11 different studies, providing 17 contrasts, were used to run a comprehensive meta‐analysis contrasting active driving with passive driving.ResultsTwo brain regions were recruited more consistently for active driving compared to passive driving, the left precentral gyrus (BA3 and BA4) and the left postcentral gyrus (BA4 and BA3/40), whereas a set of brain regions was recruited more consistently in passive driving compared to active driving: the left middle frontal gyrus (BA6), the right anterior lobe and the left posterior lobe of the cerebellum, the right sub‐lobar thalamus, the right anterior prefrontal cortex (BA10), the right inferior occipital gyrus (BA17/18/19), the right inferior temporal gyrus (BA37), and the left cuneus (BA17).DiscussionFrom a theoretical perspective, these findings support the idea that the output requirement of the visual scanning process engaged for the same activity can trigger different cerebral pathways, associated with different cognitive processes. A dorsal stream dominance was found during active driving, whereas a ventral stream dominance was obtained during passive driving. From a practical perspective, and contrary to the dominant position in the Human Factors community, our findings support the idea that a transition from passive to active driving would remain challenging as passive and active driving engage distinct neural networks.

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Section: Introductionmentioning

confidence: 99%

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving

Jordan,

Emanuelle

2023

Brain and Behavior

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“…Both studies showed that nearly all the fixations were primarily allocated in a task-oriented manner. Further studies investigated eye movements under a plethora of natural conditions while walking (Matthis et al, 2018), driving (Mars and Navarro, 2012; Sullivan et al, 2012; Navarro et al, 2020), hand-washing (Pelz and Canosa, 2001), hitting a ball (Land and McLeod, 2000), and free exploration (Schumann et al, 2008). These experiments in naturalistic settings have revealed several distinct functions of eye movements during habitual everyday tasks.…”

Section: Introductionmentioning

confidence: 99%

Just-in-time: gaze guidance in natural behavior

Keshava

2021

Preprint

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Eye movements in the natural environment have primarily been studied for over-learned everyday activities such as tea-making, sandwich making, driving that have a fixed sequence of actions associated with them. These studies indicate a just-in-time strategy of fixations i.e. the fixation provides the information for a particular action immediately precedes that action. However, it is unclear if this strategy is also in play when the task is novel and a sequence of actions must be planned in the moment. To study attention mechanisms in a novel task in a natural environment, we recorded gaze and body movement data in a virtual environment while subjects performed a sorting task where they sorted objects based on object features on a life-size shelf. To study the action planning and execution related gaze guidance behavior we also controlled the complexity of the sorting task by introducing EASY and HARD tasks. We show that subjects are close to optimal while performing EASY trials and are more sub-optimal while performing HARD tasks. Based on the scan-paths as well as latency of first fixations on the task-related ROIs during action planning and execution we show that subjects use a just-in-time strategy of fixating on the task relevant objects. From our findings, we can conclude that subjects use the just-in-time strategy in a way that sacrifices optimality by offloading cognitive task demands on the environment. These findings also lend further support to the embodied cognitive framework of cognitive processing in natural environments.

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“…An important aspect is that visual attention can guide behaviors (Payne et al, 2017). Some studies have shown that saccade to a target occurs immediately before goal-directed movements occur (Johansson et al, 2001; Navarro et al, 2020). Welsh et al (1999) found that when a target and a distractor were presented in the same scene, manual movements were attracted to the distractor location.…”

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confidence: 99%

Wing-shaped walls: A directional effect of obstacles on manual avoidance

Harada,

Mitsudo

2024

i-Perception

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Visual information can be used to plan, start, and coordinate manual movements in obstacle avoidance. An intriguing example of visuomotor coordination is the effect of wing-shaped walls, in which walls are oriented away from or toward a moving agent. A historical story from medieval Japan recounts that wing-shaped walls disrupted the agent's movement more when oriented toward the agent than when oriented away from the agent. This study aimed at examining whether the disruptive effect of wing-shaped walls occurs in a schematic situation represented on a 2D plane. In this study, we conducted psychophysical experiments in which participants were asked to move a stylus from a start point to a goal while avoiding multiple line obstacles that were arranged alternately at a course. In the two experiments, we manipulated the orientation and the size of the visible parts of the obstacles systematically. We found that the obstacles oriented toward the agent produced frequent contacts with the agent and attracted manual movements to the endpoints of obstacles. We discussed possible interpretations of the results in the context of attentional guidance.

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On the nature of eye-hand coordination in natural steering behavior

Cited by 12 publications

References 58 publications

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving

Hands off, brain off? A meta‐analysis of neuroimaging data during active and passive driving

Just-in-time: gaze guidance in natural behavior

Wing-shaped walls: A directional effect of obstacles on manual avoidance

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