Year: 2025
Type: conference-paper
Abstract: This study proposes a structured approach for handling ambiguous user input in telehealth consent scenarios. A mobile application collects task-based entries, which are then evaluated using a fine-tuned language model trained to detect semantic uncertainty. The model is based on the BERT architecture, allowing contextual interpretation of short, user-generated text. The model's output is converted into clarity scores and mapped to fuzzy membership values, allowing integration into rule-based reasoning. Initial results suggest that the system can represent partial understanding and assist legal decision-making when inputs are vague or incomplete.
Author: Jingyuan Xu
Institution: University of the Cumberlands
Language: English
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
OpenAlex ID: W4414898504