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Welcome to Edinburgh Napier Research Repository

The ‘Research Repository’ is the open access institutional repository of Edinburgh Napier University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests.

Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Repository Team at repository@napier.ac.uk



Latest Additions

Emotions and messages in simple robot gestures (2009)
Presentation / Conference Contribution
Li, J., Chignell, M., Mizobuchi, S., & Yasumura, M. (2009, July). Emotions and messages in simple robot gestures. Presented at International Conference on Human-Computer Interaction, San Diego, USA

Understanding how people interpret robot gestures will aid design of effective social robots. We examine the generation and interpretation of gestures in a simple social robot capable of head and arm movement using two studies. In the first study, fo... Read More about Emotions and messages in simple robot gestures.

Perceptual Image Processing for Digital Edge Linking (2003)
Presentation / Conference Contribution
Li, J., Randall, J., & Guan, L. (2003, May). Perceptual Image Processing for Digital Edge Linking. Presented at Canadian Conference on Electrical and Computer Engineering, Montreal, Canada

This paper presents two methods of digital edge linking that have a reasonable correlation with psychological properties employed by human users. In the first method, each endpoint is linked to the point judged to be its best match under the criteria... Read More about Perceptual Image Processing for Digital Edge Linking.

Development of a prototype clinical decision support tool for osteoporosis disease management: A qualitative study of focus groups (2010)
Journal Article
Kastner, M., Li, J., Lottridge, D., Marquez, C., Newton, D., & Straus, S. E. (2010). Development of a prototype clinical decision support tool for osteoporosis disease management: A qualitative study of focus groups. BMC Medical Informatics and Decision M

Background Osteoporosis affects over 200 million people worldwide, and represents a significant cost burden. Although guidelines are available for best practice in osteoporosis, evidence indicates that patients are not receiving appropriate diagnost... Read More about Development of a prototype clinical decision support tool for osteoporosis disease management: A qualitative study of focus groups.

Birds of a feather: How personality influences blog writing and reading (2010)
Journal Article
Li, J., & Chignell, M. (2010). Birds of a feather: How personality influences blog writing and reading. International Journal of Human-Computer Studies, 68(9), 589-602. https://doi.org/10.1016/j.ijhcs.2010.04.001

The rapid development of blogs as a social networking tool has greatly increased the number of people who are expressing themselves in text published online. As yet little is known about the social psychology of online interaction using recently deve... Read More about Birds of a feather: How personality influences blog writing and reading.

Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles (2024)
Journal Article
Zhao, L., Qian, H., Hawbani, A., Al-Dubai, A. Y., Tan, Z., Yu, K., & Zomaya, A. Y. (in press). Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles. IEEE Transactions on Intelligent Transportation Systems, https://doi.org/10.1

Intelligent transportation systems (ITS) utilize advanced technologies to enhance traffic safety and efficiency, contributing significantly to modern transportation. The integration of Vehicle-to-Everything (V2X) further elevates road safety and fost... Read More about Overtaking Feasibility Prediction for Mixed Connected and Connectionless Vehicles.