2D transparency space—bring domain users and machine learning experts together

J Zhou, F Chen - Human and machine learning: Visible, explainable …, 2018 - Springer
Abstract Machine Learning (ML) is currently facing prolonged challenges with the user
acceptance of delivered solutions as well as seeing system misuse, disuse, or even failure …

Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit

M Guimarães, J Campos, PA Santos, J Dias… - arxiv preprint arxiv …, 2022 - arxiv.org
The deployment of Socially Intelligent Agents (SIAs) in learning environments has proven to
have several advantages in different areas of application. Social Agent Authoring Tools …

Exploring improvisational approaches to social knowledge acquisition

D Feng, E Carstensdottir, MS El-Nasr, S Marsella - 2019 - eprints.gla.ac.uk
To build agents that can engage user in more open-ended social contexts, more and more
attention has been focused on data-driven approaches to reduce the requirement of …

Towards socially interactive agents: Learning generative models of social interactions via crowdsourcing

D Feng - 2020 - search.proquest.com
Modeling socially interactive agents (SIAs) has become critical in an increasingly wide
range of applications, from large-scale social simulations to the design of embodied virtual …