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Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study
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Measuring User Experience, Usability and Interactivity of a Personalized Mobile Augmented Reality Training System.

Christos Papakostas1, Christos Troussas1, Akrivi Krouska1

  • 1Department of Informatics and Computer Engineering, University of West Attica, 12243 Athens, Greece.

Sensors (Basel, Switzerland)
|July 2, 2021
PubMed
Summary

Augmented reality (AR) training systems are crucial for firefighter safety and effectiveness. Usability and ease of use are key factors influencing firefighters

Keywords:
augmented realityfactor analysisfirefighting trainingregression analysistechnology acceptance model (TAM)usabilityuser experience

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Area of Science:

  • Firefighting Technology
  • Human-Computer Interaction
  • Educational Technology

Background:

  • Innovative technologies are crucial for enhancing firefighter safety and operational effectiveness.
  • Augmented reality (AR) has demonstrated significant pedagogical benefits in various training domains, including welding, aviation, and military applications.
  • The application of AR in firefighting training remains an under-researched area, presenting a gap in current technological adoption for emergency services.

Purpose of the Study:

  • To analyze the key factors influencing the acceptance and adoption of augmented reality (AR) systems by firefighters.
  • To extend the Technology Acceptance Model (TAM) by incorporating perceived interactivity and personalization as external constructs.
  • To identify specific system and individual-level variables that impact firefighters' behavioral intentions to use AR training tools.

Main Methods:

  • A modified Technology Acceptance Model (TAM) was employed, integrating perceived interactivity and personalization.
  • The proposed model was empirically evaluated using data collected from a sample of 200 firefighter users.
  • Statistical analysis was conducted to assess the direct and indirect effects of usability, ease of use, interactivity, and personalization on AR system acceptance.

Main Results:

  • Perceived interactivity and perceived personalization were identified as essential prerequisite factors for extending the TAM in the context of AR firefighting training.
  • System usability emerged as the strongest predictor of firefighters' behavioral intentions to adopt AR systems.
  • Ease of use also demonstrated a significant, albeit smaller, direct and indirect influence on firefighters' intentions to utilize AR training technologies.

Conclusions:

  • The study highlights the critical role of usability and ease of use in driving the acceptance of AR training systems among firefighters.
  • Incorporating perceived interactivity and personalization is vital for developing effective AR training solutions tailored to the needs of the firefighting domain.
  • Findings provide actionable insights for AR developers to enhance firefighter training experiences by focusing on identified acceptance factors.