A5016500874- Digital Games and Media
- Educational Games and Gamification
- Social Robot Interaction and HRI
- Ethics and Social Impacts of AI
- Digital Storytelling and Education
- Virtual Reality Applications and Impacts
- Artificial Intelligence in Games
- Reinforcement Learning in Robotics
- Intelligent Tutoring Systems and Adaptive Learning
- Media Influence and Health
- Augmented Reality Applications
- Advanced Malware Detection Techniques
- Multimedia Communication and Technology
- Digital Humanities and Scholarship
- AI in Service Interactions
- Innovative Teaching and Learning Methods
- Open Education and E-Learning
- Action Observation and Synchronization
- Innovative Human-Technology Interaction
- Semantic Web and Ontologies
- Evolutionary Algorithms and Applications
- Natural Language Processing Techniques
- Wikis in Education and Collaboration
- Data Visualization and Analytics
- Multi-Agent Systems and Negotiation
University of Central Florida
2018-2024
University of Sunderland
2024
University of Massachusetts Amherst
2020-2024
University of Hull
2018-2021
University of Lincoln
2014-2019
University of California, Santa Cruz
2018
University of California System
2017
SRI International
2009-2016
La Trobe University
2014
Menlo School
2013-2014
Agent-based crowd simulations are used for modelling building and space usage, allowing designers to explore hypothetical real-world scenarios, including extraordinary events such as evacuations. Existing work which engages virtual reality (VR) a platform has been primarily focussed on the validation of simulation models through observation; use interactions gaze enhance sense immersion; or studies proxemics. In this work, we extend previous proxemics examine effects varying density user...
Journal Article Prompting Formalisation Through Labour Market Regulation: A 'Framed Flexibility' Model for Domestic Work Get access Deirdre McCann, McCann * *University of Durham, email: deirdre.mccann@durham.ac.uk; Search other works by this author on: Oxford Academic Google Scholar Jill Murray Industrial Law Journal, Volume 43, Issue 3, September 2014, Pages 319–348, https://doi.org/10.1093/indlaw/dwu018 Published: 23 August 2014
This paper presents a model for developing long-term human-robot interactions and social relationships based on the principle of `human' cognitive biases applied to robotic platform. The aim this work is study how robot influenced with human `misattribution' can help build better than unbiased robots. results presented in suggest that it important know effect characteristics order understand plays role human-human relationship development purpose robot-human relationships. show single memory...
Immersive Authoring remains primarily driven by user-generated content on social VR applications. This paper introduces and motivates an open-source tool, RealityFlow, implemented top of the Unity engine, which supports studying immersive authoring paradigms through visual programming languages. describes context environments as well requirements, technical implementation, overall motivations goals for future iterations.
In recent years, streamed 360° videos have gained popularity within Virtual Reality (VR) and Augmented (AR) applications. However, they are of much higher resolutions than 2D videos, causing greater bandwidth consumption when streamed. This increased utilization puts tremendous strain on the network capacity cloud providers streaming these videos. this paper, we introduce L3BOU, a novel, three-tier distributed software framework that reduces cloud-edge in backhaul lowers average end-to-end...
In this paper, we describe a comparative analysis of several emotional reporting techniques for assessing gameplay experience. We compared newer feedback methods, such as the Sensual Evaluation Instrument (SEI) and recent tools capturing physiological data, with more traditional think-aloud, Immersive Experience Questionnaire (IEQ), retrospective interviews. present results from an exploratory study 7 participants who all played same game gave on their experience using suite methods....
Bird populations are an important bio-indicator; so collecting reliable data is useful for ecologists helping conserve and manage fragile ecosystems.However, existing manual monitoring methods labour-intensive, time-consuming, error-prone.The aim of our work to develop a system, capable automatically classifying individual bird species in flight from videos.This challenging, but appropriate use the field, since there often requirement identify flight, rather than when stationary.We present...