scholarly journals Built Environment Evaluation in Virtual Reality Environments—A Cognitive Neuroscience Approach

Urban Science ◽  
2020 ◽  
Vol 4 (4) ◽  
pp. 48
Author(s):  
Ming Hu ◽  
Jennifer Roberts
Keyword(s):  
Virtual Reality ◽  
Built Environment ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Emotional Responses ◽  
Data Driven ◽  
Environment Quality ◽  
Immersive Virtual Environment ◽  
Preliminary Validation ◽  
Data Driven Approach

To date, the predominant tools for the evaluation of built environment quality and impact have been surveys, scorecards, or verbal comments—approaches that rely upon user-reported responses. The goal of this research project is to develop, test, and validate a data-driven approach for built environment quality evaluation/validation based upon measurement of real-time emotional responses to simulated environments. This paper presents an experiment that was conducted by combining an immersive virtual environment (virtual reality) and electroencephalogram (EEG) as a tool to evaluate Pre and Post Purple Line development. More precisely, the objective was to (a) develop a data-driven approach for built environment quality evaluation and (b) understand the correlation between the built environment characters and emotional state. The preliminary validation of the proposed evaluation method identified discrepancies between traditional evaluation results and emotion response indications through EEG signals. The validation and findings have laid a foundation for further investigation of relations between people’s general cognitive and emotional responses in evaluating built environment quality and characters.

scholarly journals Research on Evaluation Method of Ecological Environment Quality Based on the Improvement of Human Settlement Environment

2021 ◽  
Vol 261 ◽  
pp. 04017
Author(s):  
Xi Chen ◽  
Xia Gao ◽  
Xianyue Li
Keyword(s):  
Quality Assessment ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Evaluation Research ◽  
Development Trend ◽  
Evaluation Methods ◽  
Research Field ◽  
Assessment System ◽  
Ecological Environment ◽  
Environment Quality

Against the background that ecological environment quality has become a hot research topic in recent years, ecological environment quality assessment has emerged as an emerging discipline. By adopting scientific methods, it objectively and quantitatively reveals the real situation of ecological environment quality, and is committed to providing support basis for environmental protection and comprehensive prevention and control. Therefore, how to develop a reasonable eco-environmental quality assessment system has become the focus of attention. Based on this, this paper summarizes the research results in this field at home and abroad, and discusses and illustrates the main existing evaluation methods and evaluation models through horizontal and vertical analysis. The development status of ecological environment quality evaluation research field and the application characteristics of different evaluation methods are analyzed, some problems in theoretical innovation, model construction and application of conclusions are discussed, and the development trend of ecological environment quality evaluation research is proposed based on this.

Water Environment Quality Evaluation Based on FMEM

2013 ◽  
Vol 807-809 ◽  
pp. 290-293
Author(s):  
Jing Han Xu ◽  
Yan Fang Diao ◽  
Gang Wang ◽  
Na Yao
Keyword(s):  
Water Management ◽  
Water Pollution ◽  
Correlation Function ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Water Environment ◽  
Scientific Basis ◽  
Environment Quality ◽  
And Control

The objective water environment quality evaluation is very important to prevent and control the water pollution and provide scientific basis for water management. This paper is a trial application of the fuzzy matter-element evaluation method (FMEM) as a water environment quality evaluation method. In this method, compound fuzzy matter elements are established first, followed by establishment of the correlation function and evaluation method. The feasibility of this method is verified by citing water environment quality evaluation of DaWen River as an example.

scholarly journals Built Environment Factors Affecting Bike Sharing Ridership: Data-Driven Approach for Multiple Cities

2019 ◽  
Vol 2673 (12) ◽  
pp. 55-68 ◽  
Author(s):  
David Duran-Rodas ◽  
Emmanouil Chaniotakis ◽  
Constantinos Antoniou
Keyword(s):  
Built Environment ◽  
National Level ◽  
Data Driven ◽  
Machine Learning Techniques ◽  
Data Set ◽  
Factors Affecting ◽  
Environment Factors ◽  
Learning Techniques ◽  
Bike Sharing ◽  
Data Driven Approach

Identification of factors influencing ridership is necessary for policy-making, as well as, when examining transferability and aspects of performance and reliability. In this work, a data-driven method is formulated to correlate arrivals and departures of station-based bike sharing systems with built environment factors in multiple cities. Ridership data from stations of multiple cities are pooled in one data set regardless of their geographic boundaries. The method bundles the collection, analysis, and processing of data, as well as, the model’s estimation using statistical and machine learning techniques. The method was applied on a national level in six cities in Germany, and also on an international level in three cities in Europe and North America. The results suggest that the model’s performance did not depend on clustering cities by size but by the relative daily distribution of the rentals. Selected statistically significant factors were identified to vary temporally (e.g., nightclubs were significant during the night). The most influencing variables were related to the city population, distance to city center, leisure-related establishments, and transport-related infrastructure. This data-driven method can help as a support decision-making tool to implement or expand bike sharing systems.

scholarly journals A Proposal for a Data-Driven Approach to the Influence of Music on Heart Dynamics

2021 ◽  
Vol 8 ◽  
Author(s):  
Ennio Idrobo-Ávila ◽  
Humberto Loaiza-Correa ◽  
Flavio Muñoz-Bolaños ◽  
Leon van Noorden ◽  
Rubiel Vargas-Cañas
Keyword(s):  
Emotional Responses ◽  
Main Tool ◽  
Data Driven ◽  
Experiment Planning ◽  
Musical Structures ◽  
Musical Perception ◽  
Different Types ◽  
Data Driven Approach ◽  
Physical Diseases ◽  
The Impact

Electrocardiographic signals (ECG) and heart rate viability measurements (HRV) provide information in a range of specialist fields, extending to musical perception. The ECG signal records heart electrical activity, while HRV reflects the state or condition of the autonomic nervous system. HRV has been studied as a marker of diverse psychological and physical diseases including coronary heart disease, myocardial infarction, and stroke. HRV has also been used to observe the effects of medicines, the impact of exercise and the analysis of emotional responses and evaluation of effects of various quantifiable elements of sound and music on the human body. Variations in blood pressure, levels of stress or anxiety, subjective sensations and even changes in emotions constitute multiple aspects that may well-react or respond to musical stimuli. Although both ECG and HRV continue to feature extensively in research in health and perception, methodologies vary substantially. This makes it difficult to compare studies, with researchers making recommendations to improve experiment planning and the analysis and reporting of data. The present work provides a methodological framework to examine the effect of sound on ECG and HRV with the aim of associating musical structures and noise to the signals by means of artificial intelligence (AI); it first presents a way to select experimental study subjects in light of the research aims and then offers possibilities for selecting and producing suitable sound stimuli; once sounds have been selected, a guide is proposed for optimal experimental design. Finally, a framework is introduced for analysis of data and signals, based on both conventional as well as data-driven AI tools. AI is able to study big data at a single stroke, can be applied to different types of data, and is capable of generalisation and so is considered the main tool in the analysis.

Multimodal Navigation for a Haptic-Based Virtual Assembly Application

2010 ◽  
Author(s):  
Paolo Belluco ◽  
Monica Bordegoni ◽  
Samuele Polistina
Keyword(s):  
Virtual Reality ◽  
Evaluation Method ◽  
Low Cost ◽  
Real Space ◽  
Virtual Space ◽  
Haptic Device ◽  
Virtual Objects ◽  
Working Space ◽  
Preliminary Validation ◽  
And Performance

Some Virtual Reality applications are based on the use of haptic interfaces for a more intuitive and realistic manipulation of the virtual objects. Typically, the haptic devices have a fixed position in the real space, and their working space is rather limited. As a consequence, there are locations in the virtual space that are out of the working space of the haptic device, and thus cannot be reached by users during the virtual objects manipulation. The paper describes a multimodal navigation modality based on the integrated use of various and low cost interaction devices that can be operated by a user taking into account that one of his hands is engaged for the manipulation of the haptic device. Therefore, we have decided to implement the user interface by using the Nintendo® Wii Remote™ and the BalanceBoard™, which can be operated by the user using the other hand and his feet. The navigation modality has been integrated and tested in a Virtual Reality application for the virtual manual assembly of mechanical components. A preliminary validation of the application has been performed by an expert user with the aim of identifying major usability and performance issues by using the heuristic evaluation method.

scholarly journals Eco-environmental quality evaluation of Huaibei Plain

2015 ◽  
Vol 368 ◽  
pp. 436-441
Author(s):  
M. Xu ◽  
Y. Zhu ◽  
H. Lü ◽  
Y. Li ◽  
X. Zhou ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Evaluation Method ◽  
Assessment System ◽  
Vegetation Coverage ◽  
Ecological Civilization ◽  
Environmental Evaluation ◽  
Environment Quality ◽  
Key Factor ◽  
Area Development

Abstract. In recent years, the destruction of the ecological environment in Huaibei Plain has limited the development of the economy. Doing research on eco-environment quality evaluation methods may be helpful to the recovery of the eco-environment in Huaibei Plain and the construction of ecological civilization. A new assessment system was introduced in this paper on the basis of a traditional eco-environmental evaluation method; the NPP index was used to replace biological abundance index and vegetation coverage index. This new method was used to evaluate the eco-environment quality of Huaibei Plain. Results indicate that: (a) the eco-environment of Huaibei Plain has been getting worse since 1990, but has improved since 2000; (b) the water-network density index is the key factor which affects the eco-environment of Huaibei Plain; (c) If human activities, pollution control, land degradation and urban area development are not taken into consideration, the eco-environment of Huaibei Plain in dry years will be serious.

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