diaLogic: A Multi-Modal Framework for Automated Team Behavior Modeling Based on Speech Acquisition
This paper presents diaLogic, a humans-in-the-loop system for modeling the behavior of teams during collective problem solving. Team behavior is modeled using multi-modal data about cognition, social interactions, and emotions acquired from speech inputs. The system includes methods for speaker diar...
Saved in:
| Main Authors: | Ryan Duke, Alex Doboli |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Multimodal Technologies and Interaction |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2414-4088/9/3/26 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network
by: Muzamil Ahmed, et al.
Published: (2025-07-01) -
On “Local Theory” Neutrality with Respect to “Meta-Theories” and Data from a Diversity of “Native Speakers”, Including Heritage Speaker Bilinguals: Commentary on Hulstijn (2024)
by: Jason Rothman, et al.
Published: (2025-04-01) -
Analysis and Optimization of Micro Speaker-Box Using a Passive Radiator in Portable Device
by: Yuan-Wu JIANG, et al.
Published: (2017-08-01) -
The Impact of the Best Speaker Program and Students’ Learning Interest on Arabic Speaking Skills
by: Ummu Sulaimah Saleh, et al.
Published: (2024-08-01) -
Local Cultural Relations and Arabic Language Performance Among Non-Native Speakers Students
by: Nuroh, et al.
Published: (2024-10-01)