Analysis of YouTube Comments to Inform the Design of Virtual Reality Training Simulations to Target Emotional Arousal-Reference-Cited by-同舟云学术

Analysis of YouTube Comments to Inform the Design of Virtual Reality Training Simulations to Target Emotional Arousal

Published:2023-09 Issue:9 Volume:149 Page:
ISSN:0733-9364
Container-title:Journal of Construction Engineering and Management
language:en
Short-container-title:J. Constr. Eng. Manage.

Author:

Patil Karan R.¹^ORCID,Bhandari Siddharth²,Agrawal Ameeta³,Ayer Steven K.⁴,Perry Logan A.⁵^ORCID,Hallowell Matthew R.⁶

Affiliation:

1. Ph.D. Student, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85281 (corresponding author). ORCID: .

2. Associate Director of Construction Safety Research Alliance, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado, Boulder, CO 80309.

3. Assistant Professor, Dept. of Computer Science, Portland State Univ., Portland, OR 97201.

4. Associate Professor, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ 85281.

5. Assistant Professor of Engineering Education, Dept. of Civil and Environmental Engineering, Univ. of Nebraska–Lincoln, Lincoln, NE 68508. ORCID:

6. Beavers Professor of Construction Engineering and Executive Director of Construction Safety Research Alliance, Dept. of Civil, Environmental, and Architectural Engineering, Univ. of Colorado, Boulder, CO 80309.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Strategy and Management,Industrial relations,Building and Construction,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JCEMD4.COENG-13245

Reference133 articles.

1. Virtual Reality Simulation Training can Improve Inexperienced Surgeons' Endovascular Skills

2. Agrawal A. and A. An. 2012. “Unsupervised emotion detection from text using semantic and syntactic relations.” In Proc. IEEE/WIC/ACM Int. Conf. on Web Intelligence and Intelligent Agent Technology 346–353. New York: IEEE.

3. Enhancing Construction Hazard Recognition with High-Fidelity Augmented Virtuality

4. Enhancing Construction Hazard Recognition and Communication with Energy-Based Cognitive Mnemonics and Safety Meeting Maturity Model: Multiple Baseline Study

5. Alberto T. C. J. V. Lochter and T. A. Almeida. 2015. “TubeSpam: Comment spam filtering on YouTube.” In Proc. IEEE 14th Int. Conf. on Machine Learning and Applications (ICMLA) 138–143. New York: IEEE.

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