Human Factors in Immersive Analytics

2026-01-16

AI Summary

Current immersive analytics systems lack standardized, human-centered human factors validation methods, hindering their widespread adoption in real-world applications. This work addresses this gap by developing a systematic evaluation framework grounded in human factors engineering, integrating multidimensional metrics including cognitive load, physiological responses, interaction behaviors, and task performance. Through empirical user studies that combine immersive display and interaction technologies, and by achieving consensus with domain experts, the study proposes the first human factors–oriented design and evaluation guidelines specifically tailored for immersive analytics systems. These guidelines significantly enhance system usability, effectiveness, and deployment feasibility, thereby advancing the practical applicability of immersive analytics in complex analytical tasks.

Technology Category

• Humans and AI: User Experience and Usability
• Cognitive Modeling & Cognitive Systems: Simulating Human Behavior
• Search and Optimization: Evaluation and Analysis

Application Category

• User Modeling, Personalization and Recommendation: Metrics for user behavior and evaluating success
• Search and Retrieval-Augmented AI: Web evaluation methodologies and metrics
• Responsible Web: Human-perceived consequences of algorithmic deployment on the web

Abstract

It has been ten years since the term''Immersive Analytics''(IA) was coined and research interest in the topic remains strong. Researchers in this field have produced practical and conceptual knowledge concerning the use of emerging immersive spatial display and interaction technologies for sense-making tasks through a number of papers, surveys, and books. However, a lack of truly physically and psychologically ergonomic techniques, as well as standardized human-centric validation protocols for these, remains a significant barrier to wider acceptance of practical IA systems in ubiquitous applications. Building upon a series of workshops on immersive analytics at various conferences, this workshop aims to explore new approaches and establish standard practices for evaluating immersive analytics systems from a human factors perspective. We will gather immersive analytics researchers and practitioners to look closely at these human factors -- including cognitive and physical functions as well as behaviour and performance -- to see how they inform the design and deployment of immersive analytics techniques and applications and to inform future research.

Problem

• Immersive Analytics
• Human Factors
• Ergonomics
• Validation Protocols
• User-Centered Design

Innovation

• Immersive Analytics
• Human Factors
• Ergonomic Design
• User-Centered Evaluation
• Cognitive Ergonomics