Gamifying XAI: Enhancing AI Explainability for Non-technical Users through LLM-Powered Narrative Gamifications

TL;DR

This paper introduces a novel LLM-powered narrative gamification framework that enables non-technical users to explore and understand AI visualizations more effectively, addressing a gap in current XAI tools designed mainly for experts.

Contribution

The paper presents a new gamification framework that allows non-technical users to interact with AI visualizations through conversational narratives powered by LLMs, enhancing accessibility.

Findings

Prototype improves non-technical users' AI/XAI knowledge.

Users perceive increased learning through gamification.

Effectiveness of gamification in improving understanding remains inconclusive.

Abstract

Artificial intelligence (AI) has become tightly integrated into modern technology, yet existing exploratory visualizations for explainable AI (XAI) are primarily designed for users with technical expertise. This leaves everyday users, who also regularly interact with AI systems, with limited resources to explore or understand AI technologies they use. We propose a novel framework that enables non-technical users to collect insights by conversing directly with visualization elements via LLM-powered narrative gamifications. We implemented a prototype that utilizes such gamification to facilitate non-technical users' exploration of AI embedding projections. We conducted a comparative study with 10 participants to assess our prototype quantitatively and qualitatively. Our study results indicate that although our prototype effectively enhances non-technical users' AI/XAI knowledge, and users believe they learn more through the gamification feature, it remains inconclusive whether the gamification itself leads to further improvements in understanding. In addition, opinions among participants regarding the framework's engagement are mixed: some believe it enhances their exploration of the visualizations, while others feel it disrupts their workflow.