Outputs (4205)

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.

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.

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.

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.

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.

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/mb

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.

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.