Mark Billinghurst

519 papers 169 citations h-index 6 1995–2026

Empathetic Conversational Agents: Utilizing Neural and Physiological Signals for Enhanced Empathetic Interactions

Conversational agents (CAs) are revolutionizing human-computer interaction by evolving from text-based chatbots to empathetic digital humans (DHs) capable of rich emotional expressions. This paper...

19 citations 2025-01

VR.net: A Real-world Dataset for Virtual Reality Motion Sickness Research

Researchers have used machine learning approaches to identify motion sickness in VR experience. These approaches demand an accurately-labeled, real-world, and diverse dataset for high accuracy and...

36 citations 2023-06

Wish You Were Here: Mental and Physiological Effects of Remote Music Collaboration in Mixed Reality

With face-to-face music collaboration being severely limited during the recent pandemic, mixed reality technologies and their potential to provide musicians a feeling of "being there" with their...

46 citations 2023-01 CHI

Large Language Models for Automatic Detection of Sensitive Topics

Sensitive information detection is crucial in content moderation to maintain safe online communities. Assisting in this traditionally manual process could relieve human moderators from...

8 citations 2024-09

Towards Immersive Collaborative Sensemaking

When collaborating face-to-face, people commonly use the surfaces and spaces around them to perform sensemaking tasks, such as spatially organising documents, notes or images. However, when people...

44 citations 2022-10 Proc. ACM Hum. Comput. Interact.

Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper

The integration of emotional intelligence in machines is an important step in advancing human-computer interaction. This demands the development of reliable end-to-end emotion recognition systems....

12 citations 2023-06 Journal of Neuroscience Methods

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping

We delineate the development of a mind-mapping system designed concurrently for both VR and desktop platforms. Employing an iterative methodology with groups of users, we systematically examined...

3 citations 2024-03 AHs

Prototyping a Virtual Agent for Pre-school English Teaching

This paper describes a case study and the insights gained from prototyping an Intelligent Virtual Agent (IVA) for English vocabulary building for Spanish-speaking preschool children. After an...

Seeing through the Eyes of AI: Situated Explainability in Augmented Reality

Explainable Artificial Intelligence (AI) enables humans to understand and interpret decisions of AI models. Instead of having a black box, explainability supports humans in understanding AI...

2026-10