All Outputs (315)

Usability of a robot's realistic facial expressions and peripherals in autistic children's therapy (2020)
Presentation / Conference Contribution
Li, J., Davison, D., Schadenberg, B., Chevalier, P., Alcorn, A., Williams, A., Petrovic, S., Dimitrijevic, S. B., Shen, J., Pellicano, L., & others. (2019, March). Usability of a robot's realistic facial expressions and peripherals in autistic children's therapy. Paper presented at 2nd Workshop on Social Robots in Therapy and Care. 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2019), Daegu, Korea

Robot-assisted therapy is an emerging form of therapy for autistic children, although designing effective robot behaviors is a challenge for effective implementation of such therapy. A series of usability tests assessed trends in the effectiveness of... Read More about Usability of a robot's realistic facial expressions and peripherals in autistic children's therapy.

A comprehensive evaluation of incremental speech recognition and diarization for conversational AI (2020)
Presentation / Conference Contribution
Addlesee, A., Yu, Y., & Eshghi, A. (2020, December). A comprehensive evaluation of incremental speech recognition and diarization for conversational AI. Presented at 28th International Conference on Computational Linguistics, Barcelona, Spain (Online)

Automatic Speech Recognition (ASR) systems are increasingly powerful and more accurate, but also more numerous with several options existing currently as a service (e.g. Google, IBM, and Microsoft). Currently the most stringent standards for such sys... Read More about A comprehensive evaluation of incremental speech recognition and diarization for conversational AI.

Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks (2020)
Presentation / Conference Contribution
Nguyen, N.-T., Nguyen, D. N., Hoang, D. T., Van Huynh, N., Nguyen, H.-N., Nguyen, Q. T., & Dutkiewicz, E. (2020, December). Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks. Presented at GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan

In this paper, an economic model is proposed to jointly optimize profits for participants in a heterogeneous IoT wireless-powered backscatter communication network. In the network under considerations, a power beacon and IoT devices (with various com... Read More about Energy Trading and Time Scheduling for Energy-Efficient Heterogeneous Low-Power IoT Networks.

Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning (2020)
Presentation / Conference Contribution
Van Huynh, N., Nguyen, D. N., Hoang, D. T., & Dutkiewicz, E. (2020, December). Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning. Presented at GLOBECOM 2020 - 2020 IEEE Global Communications Conference, Taipei, Taiwan

This paper develops a beam association framework for mm Wave vehicular networks to improve the system performance in terms of handover, disconnection time, and data rate under the high mobility of vehicles. In particular, we recruit the semi Markov d... Read More about Optimal Beam Association in mmWave Vehicular Networks with Parallel Reinforcement Learning.

An ML Model for Predicting Information Check-Worthiness using a Variety of Features (2020)
Presentation / Conference Contribution
Ullah, M. Z. (2020, February). An ML Model for Predicting Information Check-Worthiness using a Variety of Features. Presented at Workshop on Machine Learning for Trend and Weak Signal Detection in Social Networks and Social Media, Toulouse, France

In this communication, we introduce the important problem of information check-worthiness. We present the method we developed to automatically answer this problem. This method makes use of an elaborated information representation that combines the “i... Read More about An ML Model for Predicting Information Check-Worthiness using a Variety of Features.

Exploiting various word embedding models for query expansion in microblog (2020)
Presentation / Conference Contribution
Ahmed, S., Chy, A. N., & Ullah, M. Z. (2020, December). Exploiting various word embedding models for query expansion in microblog. Presented at 2020 IEEE 8th R10 Humanitarian Technology Conference (R10-HTC), Kuching, Malaysia

Microblogs, especially Twitter, make it easier to communicate with others in a real-time manner and is treated as a valuable information source. With the increasing amount of tweets, it would be fascinating to be able to extract essential information... Read More about Exploiting various word embedding models for query expansion in microblog.

Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project (2020)
Presentation / Conference Contribution
Demestichas, K., Hoang, T. B. N., Mothe, J., Teste, O., & Ullah, M. Z. (2020, July). Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project. Presented at CIRCLE'20, Samatan, France

This paper presents the on going work within PREVISION H2020 project. The mission of PREVISION is to empower the analysts and investigators of agencies with tools and solutions not commercially available today, to handle and capitalize on the massive... Read More about Prediction and Visual Intelligence for Security Information: The PREVISION H2020 Project.

Exploring Susceptibility Measures to Persuasion (2020)
Presentation / Conference Contribution
Vargheese, J. P., Collinson, M., & Masthoff, J. (2020, April). Exploring Susceptibility Measures to Persuasion. Presented at 15th International Conference on Persuasive Technology, Aalborg, Denmark

There is increasing evidence that indicates how personalising persuasive strategies may increase the effectiveness of persuasive technologies and behaviour change interventions. This has led to a wide range of studies exploring self reported, perceiv... Read More about Exploring Susceptibility Measures to Persuasion.

The adoption of augmented reality technologies In Hotels: From the managers' perception (2020)
Presentation / Conference Contribution
Chu, A., Law, K., & Deborah, T. (2020, October). The adoption of augmented reality technologies In Hotels: From the managers' perception. Presented at APacCHRIE 2020, Hong Kong

Current studies indicated that Augmented Reality technology can enhance tourists’ experience in museums and theme parks. Despite the potential benefits of creating a better stay for the customers, there are only a handful of hotels in the world have... Read More about The adoption of augmented reality technologies In Hotels: From the managers' perception.

Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters (2020)
Presentation / Conference Contribution
Briggs, C., Fan, Z., & Andras, P. (2020, December). Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters. Presented at NeurIPS 2020 Workshop: Tackling Climate Change with Machine Learning, Online

In this proposal paper we highlight the need for privacy preserving energy demand forecasting to allay a major concern consumers have about smart meter installations. High resolution smart meter data can expose many private aspects of a consumer’s ho... Read More about Privacy Preserving Demand Forecasting to Encourage Consumer Acceptance of Smart Energy Meters.

Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator (2020)
Presentation / Conference Contribution
Raine, C. F., Muhammad-Sukki, F., Ramirez-Iniguez, R., Jafry, T., Ardila-Rey, J. A., & Gamio, C. (2020, June). Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator. Presented at 2020 IEEE 47th Photovoltaic Specialists Conference (PVSC), Calgary, OR, Canada

This paper evaluates the performance of a genetically optimized circular rotational square hyperboloid (GOCRSH) concentrator for low-concentrating photovoltaic (PV) application. The experimental analysis of 4 types of GOCRSH namely the GOCRSH_A GOCRS... Read More about Indoor Characterization of Genetically Optimized Circular Rotational Square Hyperboloid (GOCRSH) Concentrator.

Hardware Design for Autonomous Robot Evolution (2020)
Presentation / Conference Contribution
Hale, M. F., Angus, M., Buchanan, E., Li, W., Woolley, R., Le Goff, L. K., De Carlo, M., Timmis, J., Winfield, A. F., Hart, E., Eiben, A. E., & Tyrrell, A. M. (2020, December). Hardware Design for Autonomous Robot Evolution. Presented at International Conference on Evolvable Hardware, Canberra Australia

The long term goal of the Autonomous Robot Evolution (ARE) project is to create populations of physical robots, in which both the controllers and body plans are evolved. The transition for evolutionary designs from purely simulation environments into... Read More about Hardware Design for Autonomous Robot Evolution.

Evolution of Diverse, Manufacturable Robot Body Plans (2020)
Presentation / Conference Contribution
Buchanan, E., Le Goff, L., Hart, E., Eiben, A. E., De Carlo, M., Li, W., Hale, M. F., Angus, M., Woolley, R., Winfield, A. F., Timmis, J., & Tyrrell, A. M. (2020, December). Evolution of Diverse, Manufacturable Robot Body Plans. Presented at International Conference on Evolvable Systems (ICES), Canberra, Australia

Advances in rapid prototyping have opened up new avenues of research within Evolutionary Robotics in which not only controllers but also the body plans (morphologies) of robots can evolve in real-time and real-space. However, this also introduces new... Read More about Evolution of Diverse, Manufacturable Robot Body Plans.

PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism (2020)
Presentation / Conference Contribution
Abubakar, M. A., Jaroucheh, Z., Al-Dubai, A., & Buchanan, B. (2020, November). PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism. Presented at 4th International Conference on Vision, Image and Signal Processing, Newcastle, UK

The original consensus algorithm - Proof of Work (PoW) has been widely utilized in the blockchain systems and is been adopted by many cryptocurrencies, such as Bitcoin and Ethereum, among many others. Nevertheless, the concept has received criticisms... Read More about PoNW: A Secure and Scalable Proof-of-Notarized-Work-Based Consensus Mechanism.

Designing Blended Experiences: Laugh Traders Design Fiction (2020)
Presentation / Conference Contribution
O’Keefe, B., Flint, T., Mastermaker, M., Sturdee, M., Chirico, A., & Benyon, D. (2020, February). Designing Blended Experiences: Laugh Traders Design Fiction. Presented at 5th Annual Frameless XR Symposium 2020, Online

The increasing ubiquity of interactions that involve complementary digital content, physical objects, and spaces, brings about new challenges for designers. There is a need to embed designs in legacy systems, whether those are existing physical struc... Read More about Designing Blended Experiences: Laugh Traders Design Fiction.

Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition (2020)
Presentation / Conference Contribution
Howcroft, D., Belz, A., Clinciu, M., Gkatzia, D., Hasan, S. A., Mahamood, S., Mille, S., van Miltenburg, E., Santhanam, S., & Rieser, V. (2020, December). Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition. Presented at International Conference on Natural Language Generation (INLG 2020), Dublin, Ireland

Human assessment remains the most trusted form of evaluation in NLG, but highly diverse approaches and a proliferation of different quality criteria used by researchers make it difficult to compare results and draw conclusions across papers, with adv... Read More about Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definition.

Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training (2020)
Presentation / Conference Contribution
Panagiaris, N., Hart, E., & Gkatzia, D. (2020, December). Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training. Presented at International Conference on Natural Language Generation (INLG 2020), Dublin, Ireland

In this paper we consider the problem of optimizing neural Referring Expression Generation (REG) models with sequence level objectives. Recently reinforcement learning (RL) techniques have been adopted to train deep end-to-end systems to directly opt... Read More about Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training.

A Design of UWB Band-Pass Filter with Variable Dual Notched Bands Using EBG Structure (2020)
Presentation / Conference Contribution
Parchin, N. O., Basherlou, H. J., Al-Yasir, Y. I., Abdulkhaleq, A. M., See, C. H., & Abd-Alhameed, R. A. (2020, June). A Design of UWB Band-Pass Filter with Variable Dual Notched Bands Using EBG Structure. Presented at NTU International Multi-Disciplinary Conference: “Sustainable Development and Smart Planning”, Egypt

A new design of band-pass filter (BPF) with variable dual notched bands characteristic is introduced for ultra-wideband (UWB) applications. The configuration of the proposed BPF contains a rectangular-ring stub loaded with parallel-coupled li... Read More about A Design of UWB Band-Pass Filter with Variable Dual Notched Bands Using EBG Structure.

Assisting Information Practice: From Information Intermediary To Social Proxy (2020)
Presentation / Conference Contribution
Cruickshank, P., Webster, G., & Ryan, F. (2020, September). Assisting Information Practice: From Information Intermediary To Social Proxy. Presented at ISIC 2020 The Information Behaviour conference, Pretoria, South Africa

The increasing dependence on social media and other online systems as part of everyday life has grown considerably over the years. At the same time, the complexity and security of online systems has also been increasing, making it more challenging fo... Read More about Assisting Information Practice: From Information Intermediary To Social Proxy.

Towards a Definition of Metaskills (2020)
Presentation / Conference Contribution
Stephen, K., Muir, L., & Hall, H. (2020, October). Towards a Definition of Metaskills. Presented at ISIC 2020: The Information Behaviour Conference, Pretoria, South Africa

Introduction: The term ‘metaskill’ has been used to mean a range of different types of information-based skill. This poster describes this variation in use across disciplines and industries, and two distinct but related definitions are found.
Method... Read More about Towards a Definition of Metaskills.