| Affiliations: |
Human Factors and Cognitive Systems Lab
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| Project Leader: | Di Liu, catsquito@tamu.edu Construction Science |
| Faculty Mentor: | Dr. Youngjib Ham |
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Meeting Times:
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weekly or bi-weekly meeting, time is TBD |
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Team Size:
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0 |
| Open Spots: | 0 |
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Special Opportunities:
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Basic benefits: (1) Research experiences of a National Science Foundation (NSF)- funded research project, which is very helpful in applying to grad school, industrial jobs, or scholarships. Excellent team members will be offered below special opportunities: (1) Public presentation in virtual/in-person conferences (2) Co-authorship in future publications (3) Becoming a full member of Ham Research Group (4) Recommendation letters
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Team Needs:
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1. Good experience in using Unity3D 2. Attend weekly/biweekly meetings, accomplish assigned tasks. If you are interested in this project, please read through this page and complete the application form: https://forms.gle/fqeNMV51FnQkq19x7 |
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Description:
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Construction workers experience a lot of work-related stress during operating construction robots. When proceeding with outdoor tasks, workers need to pay attention to multiple machine interfaces meanwhile being overwhelmed by various types of environmental stimuli from noise, traffic, walking pedestrians in an urban area. One severe problem of this situation is that being overwhelmed by the multiple interfaces and environmental stimuli can reduce work performance and increase the likelihood of accidents. This problem is particularly crucial when operating heavy machines: excavator operators, for example, face serious risks when working around buried utilities, including the risk of damaging utility lines, which can result in great hazards such as disrupting essential services, serious injuries, and even death.
This research project is motivated to improve the problem mentioned above. Specifically, it aims to investigate the situation awareness of excavator operators using technology that can provide an intuitive human-machine interface on buried hazards in a virtual reality environment. One exciting part of this research is that it allows us to gain a better understanding of to what extent the collaboration between human workers and construction robots (excavators) can create a safer and more efficient future |