Related Experiment Video
Updated: Sep 30, 2025
07:46
Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
Published on: August 9, 2024
872
Using Modified Technology Acceptance Model to Evaluate the Adoption of a Proposed IoT-Based Indoor Disaster
Preetinder Singh Brar1, Babar Shah2, Jaiteg Singh1
1Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura 140401, Punjab, India.
Sensors (Basel, Switzerland)
|March 10, 2022
Summary
This study explored user acceptance of a novel cloud-centric Internet of Things (IoT) disaster management system. Findings indicate strong user acceptance, crucial for adopting this technology in rescue operations.
Area of Science:
- Computer Science
- Information Technology
- Disaster Management
Background:
- Internet of Things (IoT) advancements enable ubiquitous services, including disaster management.
- A novel cloud-centric IoT framework with a multimedia prototype using real-time maps was developed for disaster management.
- The system aims to improve evacuation planning and execution by providing vital map-based information.
Purpose of the Study:
- To explore user acceptance of the proposed IoT-based disaster management technology among potential users.
- To ascertain system acceptability before full implementation, preventing resource loss.
- To understand user perceptions for potential adoption by rescue agencies in indoor operations.
Main Methods:
- An extended Technology Acceptance Model (TAM) was adapted, incorporating perceived usefulness, ease of use, attitude, behavioral intention, trust, job relevance, and information requirements.
- Online survey data were collected from target users.
- Structural Equation Modeling (SEM) was employed for data analysis.
Main Results:
- Perceived ease of use and job relevance significantly impacted perceived usefulness.
- Trust had a moderate impact on perceived usefulness.
- Trust and perceived ease of use moderately influenced behavioral intention.
- Other proposed relationships demonstrated statistically strong support.
Conclusions:
- The research model effectively explains user perceptions towards adopting the proposed IoT disaster management technology.
- Findings support the system's potential for adoption by rescue agencies.
- The study provides valuable insights for feature development during industrial production.
