Development of a Solution for Identifying Moral Harassment in Ubiquitous Conversational Data

Gabriel Valentim, João Lima, Fernando Barbosa, João Marques, Fabrício Rubin

2025

Abstract

This study presents the development and evaluation of a moral harassment detection system focusing on mobile and pervasive computing, leveraging artificial intelligence, textual similarity analysis, and ubiquitous data generated from recorded audio. Implemented as a mobile application, the system allows users to record audio and identify inappropriate behaviors using models like Mistral AI and Cohere, while integrating a collaborative database that evolves with user contributions. Tests conducted ranged from simple phrases to complex dialogues and colloquial expressions, demonstrating the hybrid approach’s effectiveness in capturing cultural and linguistic nuances. By combining advanced technologies and user participation, the system adaptively identifies moral harassment, enhancing detection accuracy and continuous learning. This work underscores the potential of mobile devices and pervasive systems to monitor daily interactions in real-time, contributing to moral harassment prevention, fostering ethical environments, and advancing the innovative use of ubiquitous data for social well-being.

Paper Citation

in Harvard Style

Valentim G., Lima J., Barbosa F., Marques J. and Rubin F. (2025). Development of a Solution for Identifying Moral Harassment in Ubiquitous Conversational Data. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS; ISBN 978-989-758-749-8, SciTePress, pages 680-689. DOI: 10.5220/0013478200003929

in Bibtex Style

@conference{iceis25,
author={Gabriel Valentim and João Lima and Fernando Barbosa and João Marques and Fabrício Rubin},
title={Development of a Solution for Identifying Moral Harassment in Ubiquitous Conversational Data},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS},
year={2025},
pages={680-689},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013478200003929},
isbn={978-989-758-749-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - Development of a Solution for Identifying Moral Harassment in Ubiquitous Conversational Data
SN - 978-989-758-749-8
AU - Valentim G.
AU - Lima J.
AU - Barbosa F.
AU - Marques J.
AU - Rubin F.
PY - 2025
SP - 680
EP - 689
DO - 10.5220/0013478200003929
PB - SciTePress