Review visual attention and spatial memory in building inspection: Toward a cognition-driven information system

Shi, Yangming; Du, Jing; Ragan, Eric D.

doi:10.1016/j.aei.2020.101061

Cited by 30 publications

(25 citation statements)

References 51 publications

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“…For example, some studies quantified heat maps by calculating the Red, Green, and Blue (RGB) value of each grid, the pixel of the heat-map image, salient objects of the stimulus (Afrooz et al, 2018), or the grid size of the most frequently observed areas (Liu et al, 2020). Shi et al (2020) used the “Approximate Entropy” in the vertical and horizontal axes to quantify the regularity and unpredictability of the fluctuation of gaze movement data. Scan paths were also quantified by using the eye travel distance or length (Berto et al, 2008; Franěk et al, 2018; Jang & Kim, 2019; Kang & Kim, 2019; M. Kim et al, 2014) or the average X and Y coordinates (Foulsham et al, 2011)…”

Section: Resultsmentioning

confidence: 99%

“…However, these variables, especially fixation number and duration, were also represented by qualitative means (e.g., heat map, gaze movement pattern, and scan path). The studies often adopted two approaches to handle these representations: (1) directly interpreting the heat map and the scan path pattern (Christofi et al, 2020; 2) extracting quantitative information from them (Afrooz et al, 2018;Emo, 2014;Liu et al, 2020;Shi et al, 2020). For example, some studies quantified heat maps by calculating the Red, Green, and Blue (RGB) value of each grid, the pixel of the heat-map image, salient objects of the stimulus (Afrooz et al, 2018), or the grid size of the most frequently observed areas (Liu et al, 2020).…”

Section: Data Types: Quantitative and Qualitativementioning

confidence: 99%

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Seeing Is Believing: Using Eye-Tracking Devices in Environmental Research

Pesarakli

2022

HERD

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Objectives: This article aims to provide methodological guidance for research that uses eye-tracking devices (ETDs) to study environment and behavior relationships. Background: Vision is an important human sense through which people acquire a large amount of environmental information. ETDs are tools for detecting eye/gaze behaviors, facilitating better understanding about how people collect visual information and how such information is related to emotions and psychological states. However, there is a lack of guidance for the application of ETDs to environment and behavior studies. Methods: A literature review was conducted on articles reporting empirical studies that used ETDs. The data were extracted and compiled, including information such as research questions, research design, types of ETDs, variables measured, types of physical environment (or visual stimuli), stimuli durations, data analysis methods, and so on. Results: Fifty articles were identified. The main research topics were related to urban and landscape environments, and architecture and interior spaces. Most of the research designs were experimental or quasi-experimental designs, with a few cross-sectional studies. The majority types of ETDs were screen-based ETDs, followed by mobile ETDs (glasses). Main variables were gaze fixations, fixation durations, and scan paths. Typical types of stimuli included images, videos, virtual reality, and real environments and/or objects. Conclusions: Guidance for eye-tracking research on environment and behavior was developed based on the literature review results, to provide direction for determining research questions, selecting appropriate research designs, establishing participant inclusion and/or excluding criteria, collecting and analyzing data, and interpreting research results.

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Section: Resultsmentioning

confidence: 99%

Section: Data Types: Quantitative and Qualitativementioning

confidence: 99%

Seeing Is Believing: Using Eye-Tracking Devices in Environmental Research

Pesarakli

2022

HERD

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“…Meanwhile, video input obtained from CCTV is popularly used to analyse damage in sewerage systems, such as cracks, protrusion, joint faulty and holes (Cheng and Wang, 2018; Hassan et al , 2019; Kumar et al , 2018; Li et al , 2019; Shiv et al , 2020; Yin et al , 2020). Several VR-based training simulations were also developed to educate learners on the inspection process, improving inspectors’ quality in identifying defects (Albeaino et al , 2021; Beh et al , 2021; Shi et al , 2020).…”

Section: Systematic Reviewmentioning

confidence: 99%

Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method

Lee

Rashidi

Talei

et al. 2022

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Purpose In recent years, deep learning and extended reality (XR) technologies have gained popularity in the built environment, especially in construction engineering and management. A significant amount of research efforts has been thus dedicated to the automation of construction-related activities and visualization of the construction process. The purpose of this study is to investigate potential research opportunities in the integration of deep learning and XR technologies in construction engineering and management. Design/methodology/approach This study presents a literature review of 164 research articles published in Scopus from 2006 to 2021, based on strict data acquisition criteria. A mixed review method, consisting of a scientometric analysis and systematic review, is conducted in this study to identify research gaps and propose future research directions. Findings The proposed research directions can be categorized into four areas, including realism of training simulations; integration of visual and audio-based classification; automated hazard detection in head-mounted displays (HMDs); and context awareness in HMDs. Originality/value This study contributes to the body of knowledge by identifying the necessity of integrating deep learning and XR technologies in facilitating the construction engineering and management process.

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“…For instance, recent advancements in eye-tracking technology have encouraged researchers to use VR in combination with eye-tracking technology to achieve greater insights into human visual behaviours and cognitive processes, which are impossible to elicit using subjective measures. Some of the notable researchers in this area include Shi, Du, and Ragan (2020); Shi, Du, and Worthy (2020);and Jeelani et al (2020). These studies point out that the utilisation of VR in conjunction with eye-tracking technology enables the simulation of construction environments to be realistic enough to induce responses by the users that are similar to real life.…”

Section: 2virtual Reality In the Aec Industrymentioning

confidence: 99%

Virtual reality utility and usefulness in the furniture, fixture and equipment sector: a validation of interactive and distributed immersion

Prabhakaran

Mahamadu

Mahdjoubi

et al. 2022

SASBE

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PurposeThe Furniture, Fixture and Equipment (FFE) sector is well placed to leverage virtual reality (VR) technology for competitive and operational advantages; however, the diffusion of VR applications in this sector has followed a steep curve. This study reports on the implementation of two novel VR applications in the FFE sector and also investigates the challenges and benefits associated with their use and adaptability.Design/methodology/approachA sequential exploratory mixed research methodology consisting of three phases was adopted for this study. This included identification of factors that affect/facilitate the implementation of VR (Challenges and Benefits) using experiments during in-house prototyping of VR applications, a rigorous literature review and questionnaire survey to solicit FFE Stakeholder's (n = 117) opinion on the utility and usefulness of the proposed applications and to the understand factors that facilitate and inhibit their implementation in FFE's context, particularly as a design communication and coordination tool.FindingsThe findings of this study revealed that distributed and single-user VR has become essential to digitalising the FFE sector's design communication with improved design communication being regarded as the most important benefit of its use. Conversely, the most critical challenge that inhibits the implementation of these two VR applications in the FFE sector is the perceived cost.Originality/valueThis study provides valuable insight to FFE's stakeholders to devise action plans to mitigate myriad complex and interrelated factors that affect the adoption of virtual reality technology in the FFE sector that are otherwise very hard to understand, and the consequential implementation of any mitigation plans cannot be devised.

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Review visual attention and spatial memory in building inspection: Toward a cognition-driven information system

Cited by 30 publications

References 51 publications

Seeing Is Believing: Using Eye-Tracking Devices in Environmental Research

Seeing Is Believing: Using Eye-Tracking Devices in Environmental Research

Integration of deep learning and extended reality technologies in construction engineering and management: a mixed review method

Virtual reality utility and usefulness in the furniture, fixture and equipment sector: a validation of interactive and distributed immersion

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