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INTRODUCTION Although certain costs of adding automation to a machine or process are easy enough to anticipate (e.g., additional operator training), other costs have turned out to be much more […], This paper describes a paradigm for human/automation control sharing in which the automation acts through a motor coupled to a machine's manual control interface. The manual interface becomes a haptic display, continually informing the human about automation actions. While monitoring by feel, users may choose either to conform to the automation or override it and express their own control intentions. This paper's objective is to demonstrate that adding automation through haptic display can be used not only to improve performance on a primary task but also to reduce perceptual demands or free attention for a secondary task. Results are presented from three experiments in which 11 participants completed a lane-following task using a motorized steering wheel on a fixed-base driving simulator. The automation behaved like a copilot, assisting with lane following by applying torques to the steering wheel. Results indicate that haptic assist improves lane following by least 30%, p < .0001, while reducing visual demand by 29%, p < .0001, or improving reaction time in a secondary tone localization task by 18 ms, p = .0009. Potential applications of this research include the design of automation interfaces based on haptics that support human/automation control sharing better than traditional push-button automation interfaces.

INTRODUCTION The Problem and the Approach Driver distraction as a research topic is currently popular, for good reason. Automobiles and trucks are undergoing large changes in terms of the new […], Distraction from cell phones, navigation systems, information/entertainment systems, and other driver-interactive devices now finding their way into the highway vehicles is a serious national safety concern. However, driver distraction is neither well defined nor well understood. In an effort to bring some better definition to the problem, a framework is proposed based on the ideas of control theory. Loci and causes of distraction are represented as disturbances to various functional elements of a control loop involving driver intending (goal setting), sensing, deciding on control response, dynamics of the vehicle, and human body activation and energetics. It is argued that activation should be classed separately from the other functions. Attention switching from environmental observation/control to internal device manipulation is modeled as sampled-data control. Also fit within the control framework are mental modeling and anticipation of events in the driver's preview. The control framework is shown to suggest some salient research questions and experiments. Actual or potential applications of this research include a refined understanding of driver distraction and better modeling and prediction of driving performance as a function of vehicle and highway design.

INTRODUCTION Many systems that involve human-machine interaction provide users with information through a single sensory modality. In everyday life, however, most objects and events are concurrently perceived through different modalities. […], This paper addresses the question of how large the temporal delay between a visual and a haptic stimulus may be such that the stimuli are still perceived as being synchronous. Participants had to judge whether the moment at which a graphical object collided with a virtual wall occurred simultaneously with the moment at which a force was felt through a force feedback joystick. Participants either moved the joystick to drive the object (active touch) or held the joystick in a steady position while the object moved by itself (passive touch). Participants were found to be very sensitive to visual-haptic time delays. Sensitivity was higher for passive touch than for active touch. The minimum delay at which participants judged the stimuli as asynchronous was on average 45 ms. The delay at which the proportion of synchronous judgments reached a maximum was on average close to zero. The results indicate that the temporal accuracy of visual-haptic interfaces has to meet stringent requirements in order to optimize the overall realism that users experience. Actual or potential applications of this research include teleoperation, medical training, computer-aided-design, and scientific visualization.

INTRODUCTION Motivation A common paradigm in human-automation interaction requires a human to make a judgment, in parallel with an automated system, and then to consider, accept, or reject the automated […], Methodologies for assessing human judgment in complex domains are important for the design of both displays that inform judgment and automated systems that suggest judgments. This paper uses the n-system lens model to evaluate the impact of displays on human judgment and to explicitly assess the similarity between human judgments and a set of potential judgment algorithms for use in automated systems. First, the need for and concepts underlying judgment analysis are outlined. Then the n-system lens model and its parameters are formally described. This model is then used to examine a previously conducted study of aircraft collision detection that had been analyzed using standard analysis of variance methods. Our analysis found the same main effects as did the earlier analysis. However, n-system lens model analysis was able to provide greater insight into the information relied upon for judgments and the impact of displays on judgment. Additionally, the analysis was able to identify attributes of human judgments that were--and were not--similar to judgments produced by automated systems. Potential applications of this research include automated and design and operator training.

INTRODUCTION The revolution ushered in by the digital computer in the latter half of this century has fundamentally changed many characteristics of work, leisure, travel, and other human activities. Even […], This paper addresses theoretical, empirical, and analytical studies pertaining to human use, misuse, disuse, and abuse of automation technology. Use refers to the voluntary activation or disengagement of automation by human operators. Trust, mental workload, and risk can influence automation use, but interactions between factors and large individual differences make prediction of automation use difficult. Misuse refers to overreliance on automation, which can result in failures of monitoring or decision biases. Factors affecting the monitoring of automation include workload, automation reliability and consistency, and the saliency of automation state indicators. Disuse, or the neglect or underutilization of automation, is commonly caused by alarms that activate falsely. This often occurs because the base rate of the condition to be detected is not considered in setting the trade-off between false alarms and omissions. Automation abuse, or the automation of functions by designers and implementation by managers without due regard for the consequences for human performance, tends to define the operator's roles as by-products of the automation. Automation abuse can also promote misuse and disuse of automation by human operators. Understanding the factors associated with each of these aspects of human use of automation can lead to improved system design, effective training methods, and judicious policies and procedures involving automation use.

Breakdowns in human-automation coordination in data-rich, event-driven domains such as aviation can be explained in part by a mismatch between the high degree of autonomy yet low observability of modern […]

One major problem with pilot-automation interaction on modem flight decks is a lack of mode awareness; that is, a lack of knowledge and understanding of the current and future status […]