Explainable Goal Recognition: A Framework Based on Weight of Evidence

Abeer Alshehri, Tim Miller, Mor Vered
3/9/2023
cs.AIcs.HC

No confident code implementation found for this paper.

Abstract

We introduce and evaluate an eXplainable Goal Recognition (XGR) model that uses the Weight of Evidence (WoE) framework to explain goal recognition problems. Our model provides human-centered explanations that answer why? and why not? questions. We computationally evaluate the performance of our system over eight different domains. Using a human behavioral study to obtain the ground truth from human annotators, we further show that the XGR model can successfully generate human-like explanations. We then report on a study with 60 participants who observe agents playing Sokoban game and then receive explanations of the goal recognition output. We investigate participants' understanding obtained by explanations through task prediction, explanation satisfaction, and trust.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach

93% match2024

Human Goal Recognition as Bayesian Inference: Investigating the Impact of Actions, Timing, and Goal Solvability

89% match2024

Video-Only ToM: Enhancing Theory of Mind in Multimodal Large Language Models

83% match2026

Explainable Deep Learning Framework for Human Activity Recognition

83% match2024

MAPS: Masked Attribution-based Probing of Strategies- A computational framework to align human and model explanations

83% match2025

Utilizing Human Behavior Modeling to Manipulate Explanations in AI-Assisted Decision Making: The Good, the Bad, and the Scary

83% match2024

Cite this paper

@article{alshehri2023explainable,
  title  = {Explainable Goal Recognition: A Framework Based on Weight of Evidence},
  author = {Abeer Alshehri and Tim Miller and Mor Vered},
  year   = {2023},
  eprint = {2303.05622},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2303.05622v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2303.05622.svg)](https://codeofpaper.com/paper/2303.05622)

Discussion