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All Outputs (4204)

Haptic User Experience Evaluation for Virtual Reality (2022)
Presentation / Conference Contribution
Aldhous, J., Sobolewska, E., & Webster, G. (2022). Haptic User Experience Evaluation for Virtual Reality. In Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK. https://doi.org/10.14236/ewic/hci2022.59

Hapticians (engineers, researchers or designers) are developing 'haptic displays' to replicate the complexity of sensations and interactivity accommodated by the hand. Haptic displays hold potential in allowing users to interact with each other and m... Read More about Haptic User Experience Evaluation for Virtual Reality.

Data-Driven Innovation for Sustainable Creative Practice (2022)
Presentation / Conference Contribution
Lechelt, S., Panneels, I., & Helgason, I. (2022). Data-Driven Innovation for Sustainable Creative Practice. In Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK. https://doi.org/10.14236/ewic/HCI2022.51

We present a film exhibiting eight case studies of projects dealing with the intersections of environmental sustainability, data and technology, which have all been led by and rooted in the creative industries in Scotland. The film highlights how the... Read More about Data-Driven Innovation for Sustainable Creative Practice.

Emotional Data Visualised - EDV (2022)
Presentation / Conference Contribution
Flint, T., & Shore, L. (2022). Emotional Data Visualised - EDV. In Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK. https://doi.org/10.14236/ewic/HCI2022.45

This installation is an attempt to reflect the emotional state of a population of people. Emotional Data Visualised (EDV) poses the question: In a post-pandemic digital world how can we be expressive in a subtle yet personal way? EDV reflects the obs... Read More about Emotional Data Visualised - EDV.

Digi-Mapping: Creative Placemaking with Psychogeography (2022)
Presentation / Conference Contribution
Grandison, T., Flint, T., & Jamieson, K. (2022). Digi-Mapping: Creative Placemaking with Psychogeography. In Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK. https://doi.org/10.14236/ewic/HCI2022.44

This exhibit consists of four large (2m x 1.5 m) tactile talking maps that were co-created with primary school children in Wester Hailes Edinburgh, UK. In a collaborative partnership with local arts organisation WHALE Arts, the Digi-Mapping project s... Read More about Digi-Mapping: Creative Placemaking with Psychogeography.

Blended Experience Narratives (2022)
Presentation / Conference Contribution
Flint, T., O'Keefe, B., Mastermaker, M., Sturdee, M., & Benyon, D. (2022). Blended Experience Narratives. In Proceedings of the 35th British HCI and Doctoral Consortium 2022, UK. https://doi.org/10.14236/ewic/HCI2022.9

Our work employs conceptual integration, otherwise known as blending, as a tool for designing interactions that work across and between the digital/physical divide. Theoretical approaches to blends can be difficult to navigate and a hard subject to g... Read More about Blended Experience Narratives.

A novel security and authentication method for infrared medical image with discrete time chaotic systems (2022)
Journal Article
Boyraz, O. F., Guleryuz, E., Akgul, A., Yildiz, M. Z., Kiran, H. E., & Ahmad, J. (2022). A novel security and authentication method for infrared medical image with discrete time chaotic systems. Optik, 267, Article 169717. https://doi.org/10.1016/j.ijleo.2022.169717

Objective: Hand vein images have become important biometric signs used for identification systems. Also, dorsal hand vein images have noteworthy advantages in terms of reliability and contactless procedure. Surgically changing the vascular pattern u... Read More about A novel security and authentication method for infrared medical image with discrete time chaotic systems.

Arabic sentiment analysis using dependency-based rules and deep neural networks (2022)
Journal Article
Diwali, A., Dashtipour, K., Saeedi, K., Gogate, M., Cambria, E., & Hussain, A. (2022). Arabic sentiment analysis using dependency-based rules and deep neural networks. Applied Soft Computing, 127, Article 109377. https://doi.org/10.1016/j.asoc.2022.109377

With the growth of social platforms in recent years and the rapid increase in the means of communication through these platforms, a significant amount of textual data is available that contains an abundance of individuals’ opinions. Sentiment analysi... Read More about Arabic sentiment analysis using dependency-based rules and deep neural networks.

Ensemble learning-based IDS for sensors telemetry data in IoT networks (2022)
Journal Article
Naz, N., Khan, M. A., Alsuhibany, S. A., Diyan, M., Tan, Z., Khan, M. A., & Ahmad, J. (2022). Ensemble learning-based IDS for sensors telemetry data in IoT networks. Mathematical Biosciences and Engineering, 19(10), 10550-10580. https://doi.org/10.3934/mbe.2022493

The Internet of Things (IoT) is a paradigm that connects a range of physical smart devices to provide ubiquitous services to individuals and automate their daily tasks. IoT devices collect data from the surrounding environment and communicate with ot... Read More about Ensemble learning-based IDS for sensors telemetry data in IoT networks.

Minimising line segments in linear diagrams is NP-hard (2022)
Journal Article
Chapman, P., Sim, K., & Hao Chen, H. (2022). Minimising line segments in linear diagrams is NP-hard. Journal of Computer Languages, 71, Article 101136. https://doi.org/10.1016/j.cola.2022.101136

Linear diagrams have been shown to be an effective method of representing set-based data. Moreover, a number of guidelines have been proven to improve the efficacy of linear diagrams. One of these guidelines is to minimise the number of line segments... Read More about Minimising line segments in linear diagrams is NP-hard.

Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks (2022)
Journal Article
Qiao, C., Qiu, J., Tan, Z., Min, G., Zomaya, A. Y., & Tian, Z. (2023). Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 24(11), 13123 - 13132. https://doi.org/10.1109/TITS.2022.3186630

Collaborative machine learning, especially Feder-ated Learning (FL), is widely used to build high-quality Machine Learning (ML) models in the Internet of Vehicles (IoV). In this paper, we study the performance evaluation problem in an inherently hete... Read More about Evaluation Mechanism for Decentralised Collaborative Pattern Learning in Heterogeneous Vehicular Networks.

A novel multiple kernel fuzzy topic modeling technique for biomedical data (2022)
Journal Article
Rashid, J., Kim, J., Hussain, A., Naseem, U., & Juneja, S. (2022). A novel multiple kernel fuzzy topic modeling technique for biomedical data. BMC Bioinformatics, 23(1), Article 275. https://doi.org/10.1186/s12859-022-04780-1

Background: Text mining in the biomedical field has received much attention and regarded as the important research area since a lot of biomedical data is in text format. Topic modeling is one of the popular methods among text mining techniques used t... Read More about A novel multiple kernel fuzzy topic modeling technique for biomedical data.

Novel single and multi-layer echo-state recurrent autoencoders for representation learning (2022)
Journal Article
Chouikhi, N., Ammar, B., Hussain, A., & Alimi, A. M. (2022). Novel single and multi-layer echo-state recurrent autoencoders for representation learning. Engineering Applications of Artificial Intelligence, 114, Article 105051. https://doi.org/10.1016/j.engappai.2022.105051

Representation learning impacts the performance of Machine Learning (ML) models. Feature extraction-based methods such as Auto-Encoders (AEs) are used to find new, more accurate data representations from original ones. They perform efficiently on a s... Read More about Novel single and multi-layer echo-state recurrent autoencoders for representation learning.

Educational data mining to predict students' academic performance: A survey study (2022)
Journal Article
Batool, S., Rashid, J., Nisar, M. W., Kim, J., Kwon, H., & Hussain, A. (2023). Educational data mining to predict students' academic performance: A survey study. Education and Information Technologies, 28(1), 905-971. https://doi.org/10.1007/s10639-022-11152-y

Educational data mining is an emerging interdisciplinary research area involving both education and informatics. It has become an imperative research area due to many advantages that educational institutions can achieve. Along these lines, various da... Read More about Educational data mining to predict students' academic performance: A survey study.

Modelling the Impact of Individual Preferences on Traffic Policies (2022)
Journal Article
Nguyen, J., Powers, S., Urquhart, N., Farrenkopf, T., & Guckert, M. (2022). Modelling the Impact of Individual Preferences on Traffic Policies. SN Computer Science, 3(5), Article 365. https://doi.org/10.1007/s42979-022-01253-3

Urban traffic is a system always prone to overload, often approaching breakdown during rush hour times. Well adjusted modifications of traffic policies, with appropriate interventions, promise potential improvements by inducing change in both individ... Read More about Modelling the Impact of Individual Preferences on Traffic Policies.

UrbanIxD: Exploring human interactions for the hybrid city (2022)
Thesis
Stals, S. L. A. UrbanIxD: Exploring human interactions for the hybrid city. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2967001

With the vision of ubiquitous computing becoming increasingly realised, a need is identified to create a better understanding of the relationship between person, place, and technology in the urban environment. The aim of this research in the field of... Read More about UrbanIxD: Exploring human interactions for the hybrid city.

Digitally performing Wester Hailes: A framework for creative placemaking (2022)
Thesis
Grandison, T. Digitally performing Wester Hailes: A framework for creative placemaking. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2948137

This PhD investigates how creative placemaking can be facilitated by digital media tools. Since its establishment as a discipline in 2010, there is a need for new practical methods and frameworks to ensure the success of creative placemaking in pract... Read More about Digitally performing Wester Hailes: A framework for creative placemaking.

COVID-19, Students and the New Educational Landscape (2022)
Presentation / Conference Contribution
Siegel, A. A., Zarb, M., Anderson, E., Crane, B., Gao, A., Latulipe, C., Lovellette, E., McNeill, F., & Meharg, D. (2022, July). COVID-19, Students and the New Educational Landscape. Presented at ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland

Students have experienced incredible shifts in the in their learning environments, brought about by the response of universities to the ever-changing public health mandates driven by waves and stages of the coronavirus pandemic (COVID-19). Initially,... Read More about COVID-19, Students and the New Educational Landscape.

Enabling female student interaction in synchronous virtual classrooms in Saudi Higher Education (2022)
Thesis
Alamri, N. M. Enabling female student interaction in synchronous virtual classrooms in Saudi Higher Education. (Thesis). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/2913119

A new approach to classroom technology is required to meet the challenges of 21st Century learning in Saudi Arabia. This study explores the effectiveness of classroom interactions from the perspective of students and instructors with a view to establ... Read More about Enabling female student interaction in synchronous virtual classrooms in Saudi Higher Education.

Obstacles and opportunities in implementing large-scale agile project management: Re-positioning activity theory as an analytical tool (2022)
Thesis
Chita, P. S. Obstacles and opportunities in implementing large-scale agile project management: Re-positioning activity theory as an analytical tool. (Thesis). Edinburgh Napier University. http://researchrepository.napier.ac.uk/Output/2913134

A key challenge facing organisations adopting large-scale Agile delivery methods is that of quickly and effectively learning new ways of working. This thesis posits that fundamental historical, cultural and behavioural aspects will affect the transit... Read More about Obstacles and opportunities in implementing large-scale agile project management: Re-positioning activity theory as an analytical tool.