Exploring the Roles of Information in the Manual Control of Vehicular Locomotion: From Kinematics and Dynamics to Cybernetics

Mulder, Max; Boer, Erwin R.

doi:10.1162/1054746042545256

Cited by 23 publications

(16 citation statements)

References 9 publications

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“…There are a number different approaches to simulating self-motion in VR, including motion platforms, free walking using head-mounted displays (HMDs), locomotion interfaces such as treadmills, or simply just presenting visual information about the self-motion. Each of these approaches has distinct disadvantages: The drawback of using motion platforms is that they require a considerable technical and financial effort, and even then performance in VR is not necessarily comparable to corresponding real-world tasks, which can be rather problematic for driving or flight simulations [Boer et al 2000;Burki-Cohen et al 2003;Mulder et al 2004]. An often-used alternative is to allow users to freely walk around while wearing a position-tracked head-mounted display.…”

Section: The Problem Of Self-motion Simulation In Vrmentioning

confidence: 99%

Moving sounds enhance the visually-induced self-motion illusion (circular vection) in virtual reality

Riecke

Väljamäe

Schulte-Pelkum

2009

ACM Trans. Appl. Percept.

105

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While rotating visual and auditory stimuli have long been known to elicit self-motion illusions ("circular vection"), audiovisual interactions have hardly been investigated. Here, two experiments investigated whether visually induced circular vection can be enhanced by concurrently rotating auditory cues that match visual landmarks (e.g., a fountain sound). Participants sat behind a curved projection screen displaying rotating panoramic renderings of a market place. Apart from a no-sound condition, headphone-based auditory stimuli consisted of mono sound, ambient sound, or low-/high-spatial resolution auralizations using generic head-related transfer functions (HRTFs). While merely adding nonrotating (mono or ambient) sound showed no effects, moving sound stimuli facilitated both vection and presence in the virtual environment. This spatialization benefit was maximal for a medium (20 • × 15 • ) FOV, reduced for a larger (54 • × 45 • ) FOV and unexpectedly absent for the smallest (10 • × 7.5 • ) FOV. Increasing auralization spatial fidelity (from low, comparable to five-channel home theatre systems, to high, 5 • resolution) provided no further benefit, suggesting a ceiling effect. In conclusion, both self-motion perception and presence can benefit from adding moving auditory stimuli. This has important implications both for multimodal cue integration theories and the applied challenge of building affordable yet effective motion simulators.

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Section: The Problem Of Self-motion Simulation In Vrmentioning

confidence: 99%

Moving sounds enhance the visually-induced self-motion illusion (circular vection) in virtual reality

Riecke

Väljamäe

Schulte-Pelkum

2009

ACM Trans. Appl. Percept.

105

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“…C YBERNETICS is a system-theoretical, model-based approach to understand and mathematically model how humans control vehicles and devices [1]- [6]. Most of current cybernetics theory has been developed in the 1960s -for 1960s technology -and has been applied in aerospace [7]- [29], automotive [30]- [46], other vehicles [47]- [52], robotics [53]- [57] and medical applications [58]- [61].…”

Section: Introductionmentioning

confidence: 99%

“…Modern interface technologies, such as three-dimensional visual displays [6], [62], [63] and haptic (shared) control manipulators [43]- [46], [55], [64] are rapidly expanding the way humans can interact with dynamic systems. They also dramatically expand the factors that drive human control adaptation.…”

Section: Introductionmentioning

confidence: 99%

Manual Control Cybernetics: State-of-the-Art and Current Trends

Mulder

Pool

Abbink

et al. 2018

IEEE Trans. Human-Mach. Syst.

Self Cite

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Abstract-Manual control cybernetics aims to understand and describe how humans control vehicles and devices using mathematical models of human control dynamics. This 'cybernetic approach' enables objective and quantitative comparisons of human behavior, and allows a systematic optimization of human control interfaces and training associated with manual control. Current cybernetics theory is primarily based on technology and analysis methods formalized in the 1960s and has shown to be limited in its capability to capture the full breadth of human cognition and control. This paper reviews the current state-of-the-art in our knowledge of human manual control, points out the main fundamental limitations in cybernetics, and proposes a possible roadmap to advance the theory and its applications. Central in this roadmap will be a shift from the current linear time-invariant modeling approach that is only truly valid for human behavior under tightly controlled and stationary conditions, to methods that facilitate the analysis of adaptive, and possibly time-varying, human behavior in realistic control tasks. Examples of key current developments in the field of cybernetics -human use of preview, predictable discrete maneuvering, skill acquisition and training, time-varying human modeling, and neuromuscular system modeling -that contribute to this shift are presented in this paper. The new foundations for cybernetics that will emerge from these efforts will impact all domains that involve humans in manual and semi-automatic control.

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“…Due to the fact that the vehicle motions are available to pilots/drivers in aircraft/car, intuitively motion cueing is necessary to be available in simulators to have a training effect similar to real world training. It is proved by many authors that motion cuing is absolutely necessary to achieve acceptable training transfer of aircraft control in simulators (Mulder et al, 2004). …”

Section: Simulator Motion Cuing Fidelitymentioning

confidence: 99%

Understanding Cue Utility in Controlled Evasive Driving Manoeuvres: Optimizing Vestibular Cues for Simulator & Human Abilities

Sadraei

Romano

Advani³

et al. 2016

IFAC-PapersOnLine

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Most daily driving tasks are of low bandwidth and therefore the relatively slow visual system receives enough cue information to perform the task in a manner that is statistically indistinguishable from reality. On the other hand, evasive maneuvers are of such a high bandwidth that waiting for the visual cues to change is too slow and skilled drivers use steering torques and vestibular motion cues to know how the car is responding in order to make rapid corrective actions. In this study we show for evasive maneuvers on snow and ice, for which we have real world data from skilled test drivers, that the choice of motion cuing algorithm (MCA) settings has a tremendous impact on the saliency of motion cues and their similarity with reality. We demonstrate this by introducing a novel optimization scheme to optimize the classic MCA in the context of an MCA-Simulator-Driver triplet of constraints. We incorporate the following four elements to tune the MCA for a particular maneuver: 1) acceleration profiles of the maneuver observed in reality, 2) vestibular motion perception model, 3) motion envelope constraints of the simulator, and 4) a set of heuristics extracted from the literature about human motion perception (i.e. coherence zones). Including these elements in the tuning process, notwithstanding the easiness of the tuning process, respects motion platform constraints and considers human perception. Moreover the inevitable phase and gain errors arising as a major consequence of MCA are always kept within the human coherence zones, and subsequently are not perceptible as false cues. It is expected that this approach to MCA tuning will increase the transfer of training from simulator to reality for evasive driving maneuvers where students need training most and are most dangerous to perform in reality.

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Exploring the Roles of Information in the Manual Control of Vehicular Locomotion: From Kinematics and Dynamics to Cybernetics

Cited by 23 publications

References 9 publications

Moving sounds enhance the visually-induced self-motion illusion (circular vection) in virtual reality

Moving sounds enhance the visually-induced self-motion illusion (circular vection) in virtual reality

Manual Control Cybernetics: State-of-the-Art and Current Trends

Understanding Cue Utility in Controlled Evasive Driving Manoeuvres: Optimizing Vestibular Cues for Simulator & Human Abilities

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