Augmented reality (AR) navigation aids have become widely used in pedestrian navigation, yet few studies verified their usability from the perspective of human spatial cognition, such as visual attention, cognitive processing, and memory. We conducted an empirical study which smartphone-based AR were compared with a common two-dimensional (2D) electronic map. eye-tracking wayfinding experiments, 73 participants either 2D map or aids. statistically participants' performance, route memory...

Finding one's way is a fundamental daily activity and has been widely studied in the field of geospatial cognition. Immersive virtual reality (iVR) techniques provide new approaches for investigating wayfinding behavior spatial knowledge acquisition. It currently unclear, however, how acquisition iVR differ from those real-world environments (REs). We conducted an RE experiment with twenty-five participants who performed series tasks. then using same experimental design forty completed...

Landmark visual salience (characterized by features that contrast with their surroundings and peculiarities) semantic unusual or important meaning content in the environment) are two factors affect an individual's attention during wayfinding. However, empirical evidence regarding which factor dominates guidance indoor wayfinding is rare, especially real-world environments. In this study, we assumed of attention, means will correlate participants' fixations more significantly than salience....

In large-scale laying hen farming, timely detection of dead chickens helps prevent cross-infection, disease transmission, and economic loss. Dead chicken is still performed manually one the major labor costs on commercial farms. This study proposed a new method for using multi-source images deep learning evaluated performance with different source images. We first introduced pixel-level image registration that used depth information to project near-infrared (NIR) into coordinate thermal...

Recognizing the activities being performed on a map is crucial for adaptive design based user context. Despite eye tracking (ET) demonstrating potential in recognizing and electroencephalography (EEG) measuring users' cognitive load, no studies have yet combined ET EEG recognition of user's activity maps. Our study collected participants' data during four types activities. After feature extraction selection, we trained LightGBM (light Gradient-Boosting Machine) to classify these activities,...

Indoor wayfinding is an important and complex daily activity. In this study, we aimed to explore the indoor performance of pedestrians different genders under time pressure. We conducted a experiment in real-world subway station Beijing using eye-tracking verbal protocol methods analyzed efficiency, strategies eye movement data from 38 participants. The results indicated that both male female participants experienced more difficulty reading maps also found males consistently had higher...

Voice-assisted digital maps have become mainstream navigation aids for pedestrian navigation. Although these are widely studied and applied, it is still unclear how they affect human behavior spatial knowledge acquisition. In this study, we recruited thirty-three college students to carry out an outdoor wayfinding experiment. We compared the effects of voice-assisted with those without voice instructions paper by using eye tracking, sketch maps, questionnaires interviews. The results show...

Cartographic maps are ubiquitous in spatial activities such as localization, navigation, and travel exploration. Understanding how the map users interact with remains a challenge, however. Research to date has focused on overt aspects of users' cognitive processes, using conventional empirical methods eye tracking, but covert (e.g., brain activity) have been largely neglected. In this study, participants used Google Maps for four everyday tasks: global search, distance comparison, route...

A novel ladder-type donor pyran-bridged indacenodithiophene (IDTP) is developed by introducing two oxygen atoms into unit. IDTP possesses a twisted backbone and leads to facially asymmetric arrangement of side chains, resulting in enhanced local π-π stacking according polymer poly[(5,5,11,11-tetrakis(4-octylphenyl)-5,11-dihydrothieno[2',3':5,6]pyrano[3,4-g]thieno[3,2-c]isochromene)-alt-4,7-(5-fluoro-2,1,3-benzothiadiazole)] (PIDTP)-FBT, which shows extended absorption range. Moreover, render...

Demand to depth estimation from a single image is emerging in more and multimedia applications, such as human-computer interaction, 3D video generation representation. In this paper, we manage solve challenging problem by using the defocused cues contained image. Our algorithm based on local consistency assumption that scene input can be modeled multiple planar surfaces, each over-segmented patch corresponds small p lanar surface scene. As result, graph-based firstly applied obtain an...

Given the absence of a theoretical formula to analyze influence parameters on contact stress cylindrical gear with arc tooth, an explicit mathematical model tooth between design and is established based Kriging surrogate model. The variation function are optimized by using whale optimization algorithm (WOA), accuracy in turn improved analyzed proposed was realized via programming platform MATLAB; simulation results indicate that precision evaluation indexes (the correlation coefficient (R2),...

Human visual attention is the basis of target recognition, change detection and classification in remote sensing images. However, human images during remains uninvestigated. In this study, we simultaneously collected eye tracking electroencephalography (EEG) data 40 experts 1000 We quantified their different stages (i.e., search, selection, identification) from movements brain activities. The eye-tracking results indicated that hue brightness were crucial features guided search for size also...

Internet-based virtual computing environments (iVCE) are open, anonymous and dynamic in nature. Such characteristics bring about threats vulnerabilities providing trusted services improving resource utilization. Therefore, a trust model for distinguishing service recommendation is proposed. In this paper, we analyze multidimensional decision factors related to the evaluation of autonomous node, such as user satisfaction, reward function, punishment function time decay function. According...

Pre-stack hydrocarbon detection technology has been difficult to apply in Bohai Oilfield, mainly due nonamplitude-preserved caused by absorption and attenuation. We have found that low-frequency component of gather still retains correct AVO trend its relatively weaker attenuation, but limited resolution. To ensure trend, also improve the resolution detection, we proposed a pre-stack method based on frequency decomposition spectral this paper. Low-frequency was obtained used constrain reduce...