activity
20202023
most citedVisuohaptic augmented feedback for enhancing motor skills acquisition

17 citations · 59 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CE2023★ 6 cited

RESenv: A Realistic Earthquake Simulation Environment based on Unreal Engine

Yitong Sun, Hanchun Wang, Zhejun Zhang +2

Earthquakes have a significant impact on societies and economies, driving the need for effective search and rescue strategies. With the growing role of AI and robotics in these ope…

eess.IV2023

DeepMetricEye: Metric Depth Estimation in Periocular VR Imagery

Yitong Sun, Zijian Zhou, Cyriel Diels +1

Despite the enhanced realism and immersion provided by VR headsets, users frequently encounter adverse effects such as digital eye strain (DES), dry eye, and potential long-term vi…

cs.CL2023★ 1 cited

AI Nushu: An Exploration of Language Emergence in Sisterhood -Through the Lens of Computational Linguistics

Yuqian Sun, Yuying Tang, Ze Gao +8

This paper presents "AI Nushu," an emerging language system inspired by Nushu (women's scripts), the unique language created and used exclusively by ancient Chinese women who were…

cs.AI2023

Fictional Worlds, Real Connections: Developing Community Storytelling Social Chatbots through LLMs

Yuqian Sun, Hanyi Wang, Pok Man Chan +6

We address the integration of storytelling and Large Language Models (LLMs) to develop engaging and believable Social Chatbots (SCs) in community settings. Motivated by the potenti…

cs.HC2023★ 1 cited

Language as Reality: A Co-Creative Storytelling Game Experience in 1001 Nights using Generative AI

Yuqian Sun, Zhouyi Li, Ke Fang +2

In this paper, we present "1001 Nights", an AI-native game that allows players lead in-game reality through co-created storytelling with the character driven by large language mode…

cs.CV2022★ 7 cited

Computer vision-based analysis of buildings and built environments: A systematic review of current approaches

Małgorzata B. Starzyńska, Robin Roussel, Sam Jacoby +1

Analysing 88 sources published from 2011 to 2021, this paper presents a first systematic review of the computer vision-based analysis of buildings and the built environments to ass…

cs.GR2020★ 16 cited

Audio-Visual-Olfactory Resource Allocation for Tri-modal Virtual Environments

Efstratios Doukakis, Kurt Debattista, Thomas Bashford-Rogers +4

Virtual Environments (VEs) provide the opportunity to simulate a wide range of applications, from training to entertainment, in a safe and controlled manner. For applications which…

cs.HC2020★ 17 cited

Visuohaptic augmented feedback for enhancing motor skills acquisition

Ali Asadipour, Kurt Debattista, Alan Chalmers

Serious games are accepted as an effective approach to deliver augmented feedback in motor (re-) learning processes. The multi-modal nature of the conventional computer games (e.g.…

cs.HC2020★ 11 cited

A Technology-aided Multi-modal Training Approach to Assist Abdominal Palpation Training and its Assessment in Medical Education

A. Asadipour, K. Debattista, V. Patel +1

Computer-assisted multimodal training is an effective way of learning complex motor skills in various applications. In particular disciplines (eg. healthcare) incompetency in perfo…