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Human robot interaction as a service for combatting COVID-19: an experimental case study
1Department of Software Engineering, Manisa Celal Bayar University, Manisa, Turkey.
Journal of Ambient Intelligence and Humanized Computing
|March 28, 2022
Summary
Human robot interaction (HRI) offers a solution to reduce human-to-human interactions (HHI) in public spaces like restaurants. A new service utilizing smartphones decreased customer-staff HHIs by an average of 41%.
Area of Science:
- Robotics and Human-Computer Interaction
- Epidemiology and Public Health
- Service Design and Innovation
Background:
- The COVID-19 pandemic necessitated social distancing measures to curb disease transmission.
- Continued daily routines require new strategies to minimize human-to-human interaction (HHI).
- Human robot interaction (HRI) presents a viable approach for maintaining essential services safely.
Purpose of the Study:
- To propose and evaluate a Human Robot Interaction as a Service (HRIaaS) model for food service establishments.
- To leverage personal smartphones to reduce HHIs in environments like restaurants and cafes.
- To assess the effectiveness of HRIaaS in mitigating disease transmission risks.
Main Methods:
- Development of an HRIaaS framework for eatery environments.
- Integration of personal smartphones for contactless customer-staff interactions.
- Conducting an experimental case study comparing HRIaaS with traditional interaction models.
Main Results:
- The HRIaaS model was evaluated in a real-world restaurant scenario.
- An average reduction of 41% in HHIs per customer was observed.
- The study demonstrated the practical application of HRI in reducing disease transmission vectors.
Conclusions:
- HRIaaS provides an effective strategy for reducing physical contact in service industries.
- The proposed system offers a scalable solution for safer public interactions during health crises.
- This approach supports the continuation of economic activities while prioritizing public health.
