scholarly journals Information Theoretic Model to Simulate Agent-Signage Interaction for Wayfinding

2019 ◽  
Author(s):  
Rohit K. Dubey ◽  
Tyler Thrash ◽  
Mubbasir Kapadia ◽  
Christoph Hoelscher ◽  
Victor R. Schinazi
Keyword(s):  
Decision Making ◽  
Spatial Information ◽  
Interaction Model ◽  
Training Dataset ◽  
Observation Angle ◽  
Theoretic Model ◽  
Viewing Distance ◽  
Crowd Sourcing ◽  
Signage System ◽  
Perceived Complexity

AbstractSignage systems are critical for communicating spatial information during wayfinding among a plethora of noise in the environment. A proper signage system can improve wayfinding performance and user experience by reducing the perceived complexity of the environment. However, previous models of sign-based wayfinding do not incorporate realistic noise or quantify the reduction in perceived complexity from the use of signage. Drawing upon concepts from information theory, we propose and validate a new agent-signage interaction model that quantifies available wayfinding information from signs for wayfinding. We conducted two online crowd-sourcing experiments to compute the distribution of a sign’s visibility and an agent’s decision-making confidence as a function of observation angle and viewing distance. We then validated this model using a virtual reality (VR) experiment with trajectories from human participants. The crowd-sourcing experiments provided a distribution of decision-making entropy (conditioned on visibility) that can be applied to any sign/environment. From the VR experiment, a training dataset of 30 trajectories was used to refine our model, and the remaining test dataset of 10 trajectories was compared with agent behavior using dynamic time warping (DTW) distance. The results revealed a reduction of 38.76% in DTW distance between the average trajectories before and after refinement. Our refined agent-signage interaction model provides realistic predictions of human wayfinding behavior using signs. These findings represent a first step towards modeling human wayfinding behavior in complex real environments in a manner that can incorporate several additional random variables (e.g., environment layout).

scholarly journals PREFACE – ISPRS Geospatial Week 2019

2019 ◽  
Vol IV-2/W5 ◽  
pp. 1-1
Author(s):  
G. Vosselman ◽  
S. J. Oude Elberink ◽  
M. Y. Yang
Keyword(s):  
Remote Sensing ◽  
Data Quality ◽  
Spatial Data ◽  
Laser Scanning ◽  
Spatial Information ◽  
Smart Cities ◽  
International Workshop ◽  
Crowd Sourcing ◽  
Spatial Data Quality ◽  
Information Sciences

<p><strong>Abstract.</strong> The ISPRS Geospatial Week 2019 is a combination of 13 workshops organised by 30 ISPRS Working Groups active in areas of interest of ISPRS. The Geospatial Week 2019 is held from 10–14 June 2019, and is convened by the University of Twente acting as local organiser. The Geospatial Week 2019 is the fourth edition, after Antalya Turkey in 2013, La Grande Motte France in 2015 and Wuhan China in 2017.</p><p>The following 13 workshops provide excellent opportunities to discuss the latest developments in the fields of sensors, photogrammetry, remote sensing, and spatial information sciences:</p> <ul> <li>C3M&amp;amp;GBD – Collaborative Crowdsourced Cloud Mapping and Geospatial Big Data</li> <li>CHGCS – Cryosphere and Hydrosphere for Global Change Studies</li> <li>EuroCow-M3DMaN – Joint European Calibration and Orientation Workshop and Workshop onMulti-sensor systems for 3D Mapping and Navigation</li> <li>HyperMLPA – Hyperspectral Sensing meets Machine Learning and Pattern Analysis</li> <li>Indoor3D</li> <li>ISSDQ – International Symposium on Spatial Data Quality</li> <li>IWIDF – International Workshop on Image and Data Fusion</li> <li>Laser Scanning</li> <li>PRSM – Planetary Remote Sensing and Mapping</li> <li>SarCon – Advances in SAR: Constellations, Signal processing, and Applications</li> <li>Semantics3D – Semantic Scene Analysis and 3D Reconstruction from Images and ImageSequences</li> <li>SmartGeoApps – Advanced Geospatial Applications for Smart Cities and Regions</li> <li>UAV-g – Unmanned Aerial Vehicles in Geomatics</li> </ul> <p>Many of the workshops are part of well-established series of workshops convened in the past. They cover topics like UAV photogrammetry, laser scanning, spatial data quality, scene understanding, hyperspectral imaging, and crowd sourcing and collaborative mapping with applications ranging from indoor mapping and smart cities to global cryosphere and hydrosphere studies and planetary mapping.</p><p>In total 143 full papers and 357 extended abstracts were submitted by authors from 63 countries. 1250 reviews have been delivered by 295 reviewers. A total of 81 full papers have been accepted for the volume IV-2/W5 of the International Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. Another 289 papers are published in volume XLII-2/W13 of the International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences.</p><p>The editors would like to thank all contributing authors, reviewers and all workshop organizers for their role in preparing and organizing the Geospatial Week 2019. Thanks to their contributions, we can offer an excessive and varying collection in the Annals and the Archives.</p><p>We hope you enjoy reading the proceedings.</p><p>George Vosselman, Geospatial Week Director 2019, General Chair<br /> Sander Oude Elberink, Programme Chair<br /> Michael Ying Yang, Programme Chair</p>

scholarly journals Salience by Competitive and Recurrent Interactions: Bridging Neural Spiking and Computation

2021 ◽  
Author(s):  
Gregory Edward Cox ◽  
Thomas Palmeri ◽  
Gordon D. Logan ◽  
Philip L. Smith ◽  
Jeffrey Schall
Keyword(s):  
Decision Making ◽  
Response Times ◽  
Target Selection ◽  
Interaction Model ◽  
Saccade Target ◽  
Frontal Eye Field ◽  
Visual Neurons ◽  
Discharge Rates ◽  
Neural Spiking ◽  
Eye Field

Decisions about where to move the eyes depend on neurons in Frontal Eye Field (FEF). Movement neurons in FEF accumulate salience evidence derived from FEF visual neurons to select the location of a saccade target among distractors. How visual neurons achieve this salience representation is unknown. We present a neuro-computational model of target selection called Salience by Competitive and Recurrent Interactions (SCRI), based on the Competitive Interaction model of attentional selection and decision making (Smith &amp; Sewell, 2013). SCRI selects targets by synthesizing localization and identification information to yield a dynamically evolving representation of salience across the visual field. SCRI accounts for neural spiking of individual FEF visual neurons, explaining idiosyncratic differences in neural dynamics with specific parameters. Many visual neurons resolve the competition between search items through feedforward inhibition between signals representing different search items, some also require lateral inhibition, and many act as recurrent gates to modulate the incoming flow of information about stimulus identity. SCRI was tested further by using simulated spiking representations of visual salience as input to the Gated Accumulator Model of FEF movement neurons (Purcell et al., 2010; Purcell, Schall, Logan, &amp; Palmeri, 2012). Predicted saccade response times fit those observed for search arrays of different set size and different target-distractor similarity, and accumulator trajectories replicated movement neuron discharge rates. These findings offer new insights into visual decision making through converging neuro-computational constraints and provide a novel computational account of the diversity of FEF visual neurons.

scholarly journals DEVELOPING A 3-D GIS MODEL FOR URBAN PLANNING. CASE STUDY: AMPANG JAYA, MALAYSIA

2018 ◽  
Vol 16 (7) ◽  
Author(s):  
Mimi Zaleha Abdul Ghani ◽  
Yazid Sarkom ◽  
Zalina Samadi
Keyword(s):  
Decision Making ◽  
Urban Planning ◽  
Spatial Information ◽  
Gis Model ◽  
Written Information ◽  
Urban Planning And Design ◽  
Spatio Temporal ◽  
The Rich ◽  
Interactive Visualisation

This paper aims to explore the rich potential of interactive visualisation environment integrating GIS for modelling urban growth and spatio-temporal transformation of Malaysian cities. As a case study example, authors consider a 3-D GIS model of Ampang Jaya, Selangor to investigate the techniques of data acquisition, data reconstruction from physical to digital, urban analysis and visualisation in constructing a digital model ranging from low to high geometric content including 2-D digital maps, digital orthographic and full volumetricparametric modelling. The key aspect of this virtual model is how it would assist in understanding the urban planning and design of Ampang Jaya by translating complex spatial information that are currently used by the authorities for planning activities such as maps, plans and written information into responsive, easily understandable spatial information. It could serve as a new platform to disseminate information about Ampang Jaya, bridge gaps among professionals involved in planning processes, improve communications among decision makers, stakeholders and the public as well as support decision making about thespatial growth of Ampang Jaya. Demonstrations of Ampang Jaya will also provide a clearer picture of the importance of ownership and control of 3-D models by local councils in empowering them in decision making, for example, in improving transparency, and avoiding misuse by project developers (Shiffer 1993; Sunesson et al., 2008). Such environment will improve the subsequent digital models and research in the area of urban design and planning in Malaysia where visual communication is pivotal.

Strategic Interaction and the Statistical Analysis of International Conflict

1999 ◽  
Vol 93 (2) ◽  
pp. 279-297 ◽  
Author(s):  
Curtis S. Signorino
Keyword(s):  
International Conflict ◽  
Empirical Support ◽  
Interaction Model ◽  
Strategic Interaction ◽  
Monte Carlo Analysis ◽  
Discrete Choice Models ◽  
Theoretic Model ◽  
Game Theoretic ◽  
International Interaction ◽  
True Values

Although strategic interaction is at the heart of most international relations theory, it has largely been missing from much empirical analysis in the field. Typical applications of logit and probit to theories of international conflict generally do not capture the structure of the strategic interdependence implied by those theories. I demonstrate how to derive statistical discrete choice models of international conflict that directly incorporate the theorized strategic interaction. I show this for a simple crisis interaction model and then use Monte Carlo analysis to show that logit provides estimates with incorrect substantive interpretations as well as fitted values that can be far from the true values. Finally, I reanalyze a well-known game-theoretic model of war, Bueno de Mesquita and Lalman's (1992) international interaction game. My results indicate that there is at best modest empirical support for their model.

scholarly journals Learning Optimal and Fair Decision Trees for Non-Discriminative Decision-Making

2019 ◽  
Vol 33 ◽  
pp. 1418-1426 ◽  
Author(s):  
Sina Aghaei ◽  
Mohammad Javad Azizi ◽  
Phebe Vayanos
Keyword(s):  
Decision Making ◽  
Decision Trees ◽  
Mixed Integer ◽  
Training Dataset ◽  
Integer Optimization ◽  
Disparate Impact ◽  
Optimization Framework ◽  
Disparate Treatment ◽  
Misclassification Rates ◽  
Automated Tools

In recent years, automated data-driven decision-making systems have enjoyed a tremendous success in a variety of fields (e.g., to make product recommendations, or to guide the production of entertainment). More recently, these algorithms are increasingly being used to assist socially sensitive decisionmaking (e.g., to decide who to admit into a degree program or to prioritize individuals for public housing). Yet, these automated tools may result in discriminative decision-making in the sense that they may treat individuals unfairly or unequally based on membership to a category or a minority, resulting in disparate treatment or disparate impact and violating both moral and ethical standards. This may happen when the training dataset is itself biased (e.g., if individuals belonging to a particular group have historically been discriminated upon). However, it may also happen when the training dataset is unbiased, if the errors made by the system affect individuals belonging to a category or minority differently (e.g., if misclassification rates for Blacks are higher than for Whites). In this paper, we unify the definitions of unfairness across classification and regression. We propose a versatile mixed-integer optimization framework for learning optimal and fair decision trees and variants thereof to prevent disparate treatment and/or disparate impact as appropriate. This translates to a flexible schema for designing fair and interpretable policies suitable for socially sensitive decision-making. We conduct extensive computational studies that show that our framework improves the state-of-the-art in the field (which typically relies on heuristics) to yield non-discriminative decisions at lower cost to overall accuracy.

From CAD to GIS to the Geoweb: A Natural Evolution

2010 ◽  
Author(s):  
Steve Adam
Keyword(s):  
Decision Making ◽  
Spatial Data ◽  
Oil And Gas ◽  
Spatial Information ◽  
Digital Data ◽  
Computer Hardware ◽  
Disruptive Technology ◽  
Data Sets ◽  
Spatial Data Sets ◽  
Pipeline Design

Computer hardware and software have played a significant role in supporting the design and maintenance of pipeline systems. CAD systems allowed designers and drafters to compile drawings and make edits at a pace unmatched by manual pen drawings. Although CAD continues to provide the environment for a lot of pipeline design, Geographic Information Systems (GIS) are also innovating pipeline design through routines such as automated alignment sheet generation. What we have seen over the past two or three decades is an evolution in how we manage the data and information required for decision making in pipeline design and system operation. CAD provided designers and engineers a rapid electronic method for capturing information in a drawing, editing it, and sharing it. As the amount of digital data available to users grows rapidly, CAD has been unable to adequately exploit data’s abundance and managing change in a CAD environment is cumbersome. GIS and spatial data management have proven to be the next evolution in situations where engineering, integrity, environmental, and other spatial data sets dominate the information required for design and operational decision making. It is conceivable that GIS too will crumble under the weight of its own data usage as centralized databases become larger and larger. The Geoweb is likely to emerge as the geospatial world’s evolution. The Geoweb implies the merging of spatial information with the abstract information that currently dominates the Internet. This paper and presentation will discuss this fascinating innovation, it’s force as a disruptive technology, and oil and gas applications.

Innovation in Surgery: Qualitative Analysis of the Decision-Making Process and Ethical Concerns

2018 ◽  
Vol 25 (6) ◽  
pp. 586-593 ◽  
Author(s):  
Alban Zarzavadjian Le Bian ◽  
David Fuks ◽  
Renato Costi ◽  
Manuela Cesaretti ◽  
Audrey Bruderer ◽  
...  
Keyword(s):  
Decision Making ◽  
Qualitative Analysis ◽  
Ethical Dilemmas ◽  
Organ Transplant ◽  
Interaction Model ◽  
Decision Making Process ◽  
Surgical Innovation ◽  
Ethical Conflicts ◽  
Long Term Follow Up ◽  
The Ideal

Background. Surgical innovation from surgeon’s standpoint has never been scrutinized as it may lead to understand and improve surgical innovation, potentially to refine the IDEAL (Idea, Development, Exploration, Assessment, Long-term Follow-up) recommendations. Methods. A qualitative analysis was designed. A purposive expert sampling was then performed in organ transplant as it was chosen as the ideal model of surgical innovation. Interviews were designed, and main themes included the following: definition of surgical innovation, the decision-making process of surgical innovation, and ethical dilemmas. A semistructured design was designed to analyze the decision-making process, using the Forces Interaction Model. An in-depth design with open-ended questions was chosen to define surgical innovation and ethical dilemmas. Results. Interviews were performed in 2014. Participants were 7 professors of surgery: 3 in liver transplant, 2 in heart transplant, and 2 in face transplant. Saturation was reached. They demonstrated an intuitive understanding of surgical innovation. Using the Forces Interaction Model, decision leading to contemporary innovation results mainly from collegiality, when the surgeon was previously the main factor. The patient is seemingly lesser in the decision. A perfect innovative surgeon was described (with resiliency, legitimacy, and no technical restriction). Ethical conflicts were related to risk assessment and doubts regarding methodology when most participants (4/7) described ethical dilemma as being irrelevant. Conclusions. Innovation in surgery is teamwork. Therefore, it should be performed in specific specialized centers. Those centers should include Ethics and Laws department in order to integrate these concepts to innovative process. This study enables to improve the IDEAL recommendations and is a major asset in surgery.

scholarly journals The claustrum: Considerations regarding its anatomy, functions and a programme for research

2017 ◽  
Vol 1 ◽  
pp. 239821281771896 ◽  
Author(s):  
Christopher M. Dillingham ◽  
Maciej M. Jankowski ◽  
Ruchi Chandra ◽  
Bethany E. Frost ◽  
Shane M. O’Mara
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Brain Region ◽  
Spatial Information ◽  
Mammalian Brain ◽  
Future Research ◽  
Subcortical Structures ◽  
Present Evidence ◽  
Open Questions ◽  
Extensive Range

The claustrum is a highly conserved but enigmatic structure, with connections to the entire cortical mantle, as well as to an extended and extensive range of heterogeneous subcortical structures. Indeed, the human claustrum is thought to have the highest number of connections per millimetre cubed of any other brain region. While there have been relatively few functional investigations of the claustrum, many theoretical suggestions have been put forward, including speculation that it plays a key role in the generation of consciousness in the mammalian brain. Other claims have been more circumspect, suggesting that the claustrum has a particular role in, for example, orchestrating cortical activity, spatial information processing or decision making. Here, we selectively review certain key recent anatomical, electrophysiological and behavioural experimental advances in claustral research and present evidence that calls for a reassessment of its anatomical boundaries in the rodent. We conclude with some open questions for future research.

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