Work

Adaptive Learning Companions: Enhancing Education with Biosignal-Driven Digital Human

Year: 2025

Type: conference-paper

Abstract: Figure 1: Implementation of the biosignal-adaptive learning system: (left) The digital human tutor interface as rendered in the Unity-based VR environment, displaying a ConvAI-powered interaction; (right) A participant equipped with Quest 3 and the Samsung Watch 7 for real-time biosignal adaptation for language learning.

Source: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (CHI EA)

DOI: 10.1145/3706599.3719877

Authors: Alaeddin Nassani, John Blake, Julian Villegas

Institution: University of Aizu

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: bronze

OpenAlex ID: W4409888339

FWCI: 1.059

Cites: 27

Cited by: 1

Related to: 10