User Acceptance of IBON (Image-Based Ornithological Identification) Monitoring in a Mobile Platform: A TAM-Based Study
Preexcy B. Tupas
a
,
Juniel G. Lucidos
b
,
Alexander A. Hernandez
c
,
Rossian V. Perea
d
a College of Computing, Multimedia Arts and Digital Innovation, Romblon State University, Odiongan 5505, Philippines
b College of Agriculture, Forestry, and Environmental Science, Romblon State University, San Andres 5504, Philippines
c College of Computer Studies and Multimedia Arts, FEU Institute of Technology, Manila 1002, Philippines
d IT Department, Cavite State University-Naic Campus, Naic 4110, Philippines
Engineering Proceedings, (2025), pp. 14
Abstract: This study investigates user acceptance of the IBON Monitoring system, a mobile app that uses image recognition to identify bird species. Using the Technology Acceptance Model (TAM), it surveyed 100 faculty and students at Romblon State University to assess factors like perceived usefulness, ease of use, computer literacy, and self-efficacy. Results showed that usefulness and ease of use significantly influence user attitudes and intentions. The findings suggest actionable recommendations for improving IBON system adoption, including training programs to enhance computer literacy and self-efficacy and strategies to demonstrate the system’s relevance to user needs. Future research should explore additional external factors, such as cultural influences and user experience design, and conduct longitudinal studies to assess sustained use and impact on biodiversity monitoring outcomes. This study underscores the importance of fostering user acceptance to maximize the potential of innovative technologies like IBON Monitoring in advancing biodiversity conservation efforts.