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Context-awareness in mobile information systems bears a huge potential. However, context-awareness is still in its infancy and its full potential is not yet exploited. One reason is the poorly supported creation and learning of suitable context descriptions. Another problem is the questionable predictive power of context descriptions that makes it difficult to correctly determine the current user...
Increasing numbers of sensors are being deployed in environments to monitor our behaviours and environmental phenomena. Missing data is an inevitable problem in almost every sensorised environment, due to physical failure, poor connection, or dislodgement. This results in an incomplete view of the real-world, leading to poor prediction and consequently, degraded quality of system services. This paper...
This paper proposes a data model for the management of information exchanged during trust negotiation. The information exchanged during trust negotiation has been considered to be structured or may be converted to a structured format Uncertainty associated with such information transfer has been modeled as probabilistic data Updating of message has been explained using a particular application domain...
There is a growing need to understand IT consumerization, which is the adoption and use of consumer technologies by employees in the workplace. Employees want to use consumer technologies at work and, increasingly, organizations recognize the benefits of encouraging extended and innovative use of employee-owned technologies for work purposes. While the information systems (IS) field has converged...
This paper investigates how different individual and institutional factors pertaining to ICT readiness influence teachers' adoption of game-based learning technologies. The data were gathered from Finnish primary, lower secondary and upper secondary school teachers (N=1668) with an online survey. The results indicate that openness towards ICT, ICT attitude and the ICT compatibility with teaching positively...
In this paper, we shed a light on the intention-action relationship in the context of external behavioral information security threats. Specifically, external threats caused by employees' social engineering security actions were examined. This was done by examining the correlation between employees' reported intention to resist social engineering and their self-reported actions of hypothetical scenarios...
Online social network platforms provide built-in functionalities that allow users to share information through their social connections. The study of information diffusion focusses on analysing how the spread of information enables us to understand the ways that users behave and interact online. Information diffusion manifests itself on social networks in the form of cascades of information, which...
Students seeking enrolment into the bachelor of engineering at Victoria University of Wellington are required to gain a B average across their first year engineering papers in order to gain entry into second year. We explore longitudinal historical data in order to predict student progress using their grades from the end of the first trimester. We find that a simple classifier based on the number...
Lack of text data is one of the main issues encountered by Malay speech researchers. Currently, there are few established Malay text corpora to aid in their research. Text corpora are essential due to its ability to provide empirical data for researchers in the field of linguistics and are useful to construct word lists for speech intelligibility test, speech analysis across genders and automatic...
Many nations worldwide are continuing to invest in electronic government (e-government) initiatives that now demand an investigation into how well users perceive the success of these initiatives. Currently, there exists a dearth of empirical evaluation of e-government success in particular for the Australian context. Our research project, reported in this paper, is concerned with developing a conceptual...
Prior research in neutrally-inspired perceptron predictors and Geometric History Length-based TAGE predictors has shown significant improvements in branch prediction accuracy by exploiting correlations in long branch histories. However, not all branches in the long branch history provide useful context. Biased branches resolve as either taken or not-taken virtually every time. Including them in the...
Software quality is one of the most pressing concerns for nearly all software developing companies. At the same time, software companies also seek to shorten their release cycles to meet market demands while maintaining their product quality. Identifying problematic code areas becomes more and more important. Defect prediction models became popular in recent years and many different code and process...
We conducted a user study evaluating two preference elicitation approaches for collaborative filtering recommender systems: a basic KNN algorithm and a context aware algorithm. Using the technology acceptance model (TAM) as theoretical model, we considered different factors affecting the perceived usefulness, perceived ease of use and attitude towards using the recommender system. We found that the...
In this work, we propose a Latent Semantic Association Retrieval(LSAR) method to break the bottleneck of the low-level feature based medical image retrieval. The method constructs the high-level semantic correlations among patients based on the low-level feature set extracted from the images. Specifically, a Pair-LDA model is firstly designed to refine the topic generation process of traditional Latent...
Service quality has been identified as a major determinant of market share, return on investment and ultimately, customer satisfaction, which in turn leads to enhanced brand image, and profits. This study examines the applicability of the service quality measurement scale SERVPERF in the Food service industry. Perception of Service quality in terms of the service performance (SERVPERF)dimensions,...
In this paper we provide a framework useful to define and measure the perceived “smartness” of learning eco-systems of any kind and, more in general, of cities and territories. The proposed framework, inspired by Maslow's pyramid of needs [18] and by the “flow” concept [6] helps to integrate bottom-up approaches and top-down ones and to develop a more person in place center vision of smart learning...
One of the most interesting topics in social network research is opinion formation. In this paper we have introduced a new dependent multi-dimensional opinion formation method. This method models agents with several dependent opinions so that modifying the agent's opinion about one issue can affect its opinion about another issue. Agents share their opinion with agents which have trusted them. A directed...
Context Management Framework (CMF) for Ubiquitous Health (U-Health) Systems should be able to continuously gather raw data from observed entities to characterize their current situation (context). However, the death of battery-dependent sensors reduce their ability for detecting the context, which directly affects the availability of context-aware u-health services. This paper proposes the use of...
Early analysis does not support a link between students' motivation levels and their survey participation rates, suggesting that repeated sampling throughout a semester may be more capable of documenting a representative cross-section of student experiences than we originally expected.
Modern game developers encounter difficulties accounting for an increasingly disparate audience with uniquely individual preferences. These preferences must be identified before any substantive efforts to accommodate them. Because the pursuit of goals and rewards is the central organizing structure in games, individual preferences need to be approached through the lens of goals and rewards selection...
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