Chrisina Jayne

Work place: School of Computing Science and Digital Media, Robert Gordon University, Aberdeen, UK



Research Interests: Neural Networks, Computer Networks, Network Security


Prof. Chrisina Jayne received her Ph.D. degree in applied mathematics from Sofia University, Sofia, Bulgaria in 1998. She is currently Head of the School of Computing and Digital Media at Robert Gordon University, Scotland. Her research includes developing and applying neural network methods to a number of applications. Professor Jayne is a Fellow of the British Computer Society and UK Higher Education Academy. She is a coordinator of the International Neural Network Society's Special Interest Group on Engineering Applications of Neural Networks. She chaired the Engineering Applications of Neural Network Conference in 2012 and 2014 and she has been involved in numerous program committees of neural network related conferences.

Author Articles
Factors Affecting Users‟ Measure of Interest: A Study of the Effect of Task, Document Difficulty and Document Familiarity

By Stephen Akuma Chrisina Jayne

DOI:, Pub. Date: 8 May 2019

Data on the web is constantly growing which may affect users’ ability to find relevant information within a reasonable time limit. Some of the factors previously studied that affect users searching behaviour are task difficulty and topic familiarity. In this paper, we consider a set of implicit feedback parameters to investigate how document difficulty and document familiarity affects users searching behaviour in a task-specific context. An experiment was conducted and data was collected from 77 undergraduate students of Computer science. Users’ implicit features and explicit ratings of document difficulty and familiarity were captured and logged through a plugin in Firefox browser. Implicit feedback parameters were correlated with user ratings for document difficulty and familiarity. The result showed no correlation between implicit feedback parameters and the rating for document familiarity. There was, however, a negative correlation between user mouse activities and document difficulty ratings. 

Also, the dataset of all the participants in the experiment was grouped according to task type and analysed. The result showed that their behaviour varies according to task type. Our findings provide more insight into studying the moderating factors that affect user searching behaviour.

[...] Read more.
Other Articles