Akon O. Ekpezu
Orcid: 0000-0002-9502-1052
According to our database1,
Akon O. Ekpezu
authored at least 12 papers
between 2020 and 2025.
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Bibliography
2025
A Cookbook for Community-driven Data Collection of Impaired Speech in LowResource Languages.
CoRR, July, 2025
Benchmarking Akan ASR Models Across Domain-Specific Datasets: A Comparative Evaluation of Performance, Scalability, and Adaptability.
CoRR, July, 2025
Persuasive software features as antecedents to perceived compliance within physical activity behavior change support systems.
Behav. Inf. Technol., July, 2025
Comparative evaluation of learning technologies using a randomized controlled trial: Virtual reality, augmented reality, online video platforms, and traditional classroom learning.
Educ. Inf. Technol., June, 2025
2024
Enhancing Perceived Health Competence: The Impact of Persuasive Social Support Features in Health and Fitness Apps.
Int. J. Hum. Comput. Interact., December, 2024
Technological Factors that Influence User Compliance with Behavior Change Support Systems: A Systematic Review.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024
2023
Investigating the Determinants of Compliance Intention in Behavior Change Support Systems.
Proceedings of the 29th Americas Conference on Information Systems, 2023
2022
The Use of Machine Learning Algorithms in the Classification of Sound: A Systematic Review.
Int. J. Serv. Sci. Manag. Eng. Technol., 2022
2021
Soil Medium Electromagnetic Scattering Model for the Study of Wireless Underground Sensor Networks.
Wirel. Commun. Mob. Comput., 2021
Exploring the Impact of Persuasive System Features on User Sentiments in Health and Fitness Apps.
Proceedings of the Ninth International Workshop on Behavior Change Support Systems co-located with the 16th International Conference on Persuasive Technology 2021 (Persuasive 2021), 2021
2020
Persuasive social features that promote knowledge sharing among tertiary students on social networking sites: An empirical study.
J. Comput. Assist. Learn., 2020