4,811 research outputs found

    Attention Allocation Aid for Visual Search

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    This paper outlines the development and testing of a novel, feedback-enabled attention allocation aid (AAAD), which uses real-time physiological data to improve human performance in a realistic sequential visual search task. Indeed, by optimizing over search duration, the aid improves efficiency, while preserving decision accuracy, as the operator identifies and classifies targets within simulated aerial imagery. Specifically, using experimental eye-tracking data and measurements about target detectability across the human visual field, we develop functional models of detection accuracy as a function of search time, number of eye movements, scan path, and image clutter. These models are then used by the AAAD in conjunction with real time eye position data to make probabilistic estimations of attained search accuracy and to recommend that the observer either move on to the next image or continue exploring the present image. An experimental evaluation in a scenario motivated from human supervisory control in surveillance missions confirms the benefits of the AAAD.Comment: To be presented at the ACM CHI conference in Denver, Colorado in May 201

    Efficiency improvement by navigated safety inspection involving visual clutter based on the random search model.

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    Navigated inspection seeks to improve hazard identification (HI) accuracy. With tight inspection schedule, HI also requires efficiency. However, lacking quantification of HI efficiency, navigated inspection strategies cannot be comprehensively assessed. This work aims to determine inspection efficiency in navigated safety inspection, controlling for the HI accuracy. Based on a cognitive method of the random search model (RSM), an experiment was conducted to observe the HI efficiency in navigation, for a variety of visual clutter (VC) scenarios, while using eye-tracking devices to record the search process and analyze the search performance. The results show that the RSM is an appropriate instrument, and VC serves as a hazard classifier for navigation inspection in improving inspection efficiency. This suggests a new and effective solution for addressing the low accuracy and efficiency of manual inspection through navigated inspection involving VC and the RSM. It also provides insights into the inspectors' safety inspection ability

    Augmented Reality HUDs: Warning Signs and Drivers’ Situation Awareness

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    Drivers must search dynamic and complex visual environments to perceive relevant environmental elements such as warning signs, pedestrians and other vehicles to select the appropriate driving maneuver. The objective of this research was to examine how an Augmented Reality Head Up Display (AR HUD) for warning signs affects driver Situation Awareness (SA) and attention. Participants viewed videos of real driving scenes with an AR HUDs or no display and were asked to report what elements in the driving scene attracted their attention. At the completion of the first driving video participants were given a warning sign recognition test. Participants then watched a second video and the Situation Awareness Global Assessment Technique (SAGAT), a measure of global SA was administered. Participants eye movements were recorded when watching the videos to investigate how drivers interacting with an AR HUD attend to the environment compared to drivers with no AR HUD. AR HUDs for warning signs are effective in making warning signs more attentionally conspicuous to drivers in both low and high clutter driving environments. The HUD did not lead to increased fixation duration or frequency to warning signs in many situations. However when two driving items were in sight (sign and car) and participants needed to decide where to attend, they experienced attentional tunneling. In complex driving situations participants spent a significantly longer proportion of time looking at warning signs in the HUD. In simple driving situations, AR HUDs appear to make warning signs more salient and conspicuous. However, in complex situations in high clutter driving environments AR HUDs may lead to attentional tunneling

    Directing Attention in an Augmented Reality Environment: An Attentional Tunneling Evaluation

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    Augmented Reality applications use explicit cuing to support visual search. Explicit cues can help improve visual search performance but they can also cause perceptual issues such as attentional tunneling. An experiment was conducted to evaluate the relationship between directing attention and attentional tunneling, in a dual task structure. One task was tracking a target in motion and the other was detection of non-target elements. Three conditions were tested: baseline without cuing the target, cuing the target with the average scene color, and using a red cue. A different color for the cue was used to vary the attentional tunneling level. The results show that directing attention induced attentional tunneling only the in red condition and that effect is attributable to the color used for the cue

    Awareness and Detection of Traffic and Obstacles Using Synthetic and Enhanced Vision Systems

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    Research literature are reviewed and summarized to evaluate the awareness and detection of traffic and obstacles when using Synthetic Vision Systems (SVS) and Enhanced Vision Systems (EVS). The study identifies the critical issues influencing the time required, accuracy, and pilot workload associated with recognizing and reacting to potential collisions or conflicts with other aircraft, vehicles and obstructions during approach, landing, and surface operations. This work considers the effect of head-down display and head-up display implementations of SVS and EVS as well as the influence of single and dual pilot operations. The influences and strategies of adding traffic information and cockpit alerting with SVS and EVS were also included. Based on this review, a knowledge gap assessment was made with recommendations for ground and flight testing to fill these gaps and hence, promote the safe and effective implementation of SVS/EVS technologies for the Next Generation Air Transportation Syste

    Consumer Perception of Online Advertising - The Effects of Animation, Ad Characteristics, Repetition and Task Relevancy on Attention and Memory

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    Prior advertising research on advertising perception models has mainly focused on effects that occur after consumers have been exposed to advertising stimuli. Little research has examined how consumers are exposed to advertising and the quality of visual attention during advertising exposure. This doctoral dissertation examines how consumers allocate their visual attention to online ads and how consumers memorize ads in different viewing conditions. More precisely, the dissertation focuses on how ad format and location, animation, repetition, abrupt onsets, and task relevancy affect attention to ads and memory performance. The thesis employs theories of cognitive psychology, visual marketing and consumer behavior, advertising persuasion models and computer science and applies experimental methodologies such as eye tracking besides consumers' self-reported measures. The thesis consists of four essays. Essay 1 introduces a review of relevant theory and eye tracking methodology for online advertising research. The next three essays present experimental studies. Essay 2 investigates the effects of ad format and animation on attention and memory. Essay 3 examines the effects of repetition of ads on memory. Essay 4 investigates how animation, ad format and abrupt onsets of ads affect reading performance, and how online ads are perceived during free browsing compared to an instructed reading task. Our findings indicate that attention and memory for ads were significantly affected by consumers' intentions, ad characteristics and web page contents. Consumers are more likely to be attracted by ads when browsing web sites freely without a special task. Ad characteristics, such as animation and ad format interact and influence differently on attention and memory performance for ads depending on the ad's location on a page and the surrounding page content. The thesis also tested the effects of repetition of ads as a potential strategy to improve memory for ads. A significant positive effect was found already at rather low levels of repetition. Moreover, we also tested consumers' attention to abrupt onsets of ads. We registered a significant increase of attention to abrupt onsets of ads as compared with permanent ads especially during free browsing of web pages. This thesis increases our knowledge of the role and type of ad exposure on consumers' attention by evaluating the effectiveness of advertising exposure in dynamic online environment. This research is also the first attempt to evaluate the applicability of the primary eye tracking measures for online advertising. For advertisers, media traders and graphic designers this research proposes new strategies about how to adjust ad format and placement, animation and repetition to break through advertising clutter and reduce consumers' ad avoidance to develop stronger brand awareness and preferences
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