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User Acceptance of IBON (Image-Based Ornithological Identification) Monitoring in a Mobile Platform: A TAM-Based Study

Year: 2025

Type: conference-paper

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.

DOI: 10.3390/engproc2025107014

Authors: Preexcy B. Tupas, Juniel G. Lucidos, Alexander A. Hernandez, Rossian V. Perea

Institutions: Romblon State University, FEU Institute of Technology, Cavite State University - Naic

Language: English

Topic: Technology Adoption and User Behaviour

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

OpenAlex ID: W4413490598

FWCI:

Cites: 3

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Related to: 10