Designing a Communication Bridge between Communities: Participatory Design for a Question-Answering AI Agent

no code implementations • 1 Aug 2023 • Jeonghyun Lee, Vrinda Nandan, Harshvardhan Sikka, Spencer Rugaber, Ashok Gole

How do we design an AI system that is intended to act as a communication bridge between two user communities with different mental models and vocabularies?

AI Agent Question Answering

Explanation as Question Answering based on a Task Model of the Agent's Design

no code implementations • 8 Jun 2022 • Ashok Goel, Harshvardhan Sikka, Vrinda Nandan, Jeonghyun Lee, Matt Lisle, Spencer Rugaber

We describe a stance towards the generation of explanations in AI agents that is both human-centered and design-based.

AI Agent Question Answering

Understanding Self-Directed Learning in an Online Laboratory

no code implementations • 6 Jun 2022 • Sungeun An, Spencer Rugaber, Jennifer Hammock, Ashok K. Goel

We used machine learning techniques to analyze the modeling behaviors of 315 learners and 822 conceptual models they generated.

Explanation as Question Answering based on Design Knowledge

no code implementations • 16 Dec 2021 • Ashok Goel, Vrinda Nandan, Eric Gregori, Sungeun An, Spencer Rugaber

In this paper, we describe a question answering agent (AskJill) that uses the User Guide for an interactive learning environment (VERA) to automatically answer questions and thereby explains the domain, functioning, and operation of VERA.

AI Agent Open-Ended Question Answering