activity
20132026
most citedMARS spectral molecular imaging of lamb tissue: data collection and image analysis

53 citations · 193 across the 17 of their papers we have counts for

collaborators

18 papers

cs.HC2026

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

Ana Stanescu, Lucchas Ribeiro Skreinig, Tobias Langlotz +5

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

cs.HC2026

The Missing Link of XR: Empathy-Driven Reality for XR and Beyond

Yun Suen Pai, Tamil Selvan Gunasekaran, Jiashuo Cao +23

Extended reality (XR) for socialising is becoming increasingly popular. However, unlike conventional social platforms, XR prioritises embodiment and immersion, factors that strongl…

cs.HC2026★ 1 cited

"When I see Jodie, I feel relaxed": Examining the Impact of a Virtual Supporter in Remote Psychotherapy

Jiashuo Cao, Chen Li, Wujie Gao +3

Virtual agents have shown promising potential in mental health applications, but current research has predominantly focused on contexts outside of traditional therapy sessions. Thi…

cs.HC2025

Investigating AI in Peer Support via Multi-Module System-Driven Embodied Conversational Agents

Ruoyu Wen, Xiaoli Wu, Kunal Gupta +5

Young people's mental well-being is a global concern, with peer support playing a key role in daily emotional regulation. Conversational agents are increasingly viewed as promising…

cs.HC2025

HeadZoom: Hands-Free Zooming and Panning for 2D Image Navigation Using Head Motion

Kaining Zhang, Catarina Moreira, Pedro Belchior +3

We introduce \textit{HeadZoom}, a hands-free interaction technique for navigating two-dimensional visual content using head movements. HeadZoom enables fluid zooming and panning us…

cs.HC2025★ 13 cited

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

Nastaran Saffaryazdi, Tamil Selvan Gunasekaran, Kate Laveys +2

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

cs.HC2024

Using Virtual Reality as a Simulation Tool for Augmented Reality Virtual Windows: Effects on Cognitive Workload and Task Performance

Tianyu Liu, Weiping He, Mark Billinghurst

Virtual content in Augmented Reality (AR) applications can be constructed according to the designer's requirements, but real environments, are difficult to be accurate control or c…

cs.HC2024

Explorations in Designing Virtual Environments for Remote Counselling

Jiashuo Cao, Wujie Gao, Yun Suen Pai +4

The advent of technology-enhanced interventions has significantly transformed mental health services, offering new opportunities for delivering psychotherapy, particularly in remot…

cs.CL2024★ 1 cited

Large Language Models for Automatic Detection of Sensitive Topics

Ruoyu Wen, Stephanie Elena Crowe, Kunal Gupta +6

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

eess.SP2024★ 2 cited

Integrating Physiological Data with Large Language Models for Empathic Human-AI Interaction

Poorvesh Dongre, Majid Behravan, Kunal Gupta +2

This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data. We propose a physiological computing approach that includes devel…

cs.HC2024★ 3 cited

Putting Our Minds Together: Iterative Exploration for Collaborative Mind Mapping

Ying Yang, Tim Dwyer, Zachari Swiecki +6

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 systemati…

cs.AI2023★ 1 cited

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

Elliott Wen, Chitralekha Gupta, Prasanth Sasikumar +5

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 h…

cs.HC2023★ 2 cited

Synthesizing Affective Neurophysiological Signals Using Generative Models: A Review Paper

Alireza F. Nia, Vanessa Tang, Gonzalo Maso Talou +1

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 reco…

cs.HC2023★ 39 cited

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

Ruben Schlagowski, Dariia Nazarenko, Yekta Can +4

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 the…

cs.HC2022★ 37 cited

Towards Immersive Collaborative Sensemaking

Ying Yang, Tim Dwyer, Michael Wybrow +4

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. Howe…

cs.HC2022★ 1 cited

Prototyping a Virtual Agent for Pre-school English Teaching

Eduardo Benitez Sandoval, Diego Vazquez Rojas, Clarissa A. Parada Cereceres +3

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 childre…

physics.med-ph2013★ 40 cited

Reducing beam hardening effects and metal artefacts using Medipix3RX: With applications from biomaterial science

K. Rajendran, M. F. Walsh, N. J. A. de Ruiter +28

This paper discusses methods for reducing beam hardening effects using spectral data for biomaterial applications. A small-animal spectral scanner operating in the diagnostic energ…

physics.med-ph2013★ 53 cited

MARS spectral molecular imaging of lamb tissue: data collection and image analysis

R Aamir, A Chernoglazov, C J Bateman +35

Spectral molecular imaging is a new imaging technique able to discriminate and quantify different components of tissue simultaneously at high spatial and high energy resolution. Ou…