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See detailFormalising the twofold structure of a proactive system: Proof of concept on deterministic and probabilistic levels
Shirnin, Denis UL

Doctoral thesis (2014)

In the present work, we investigate the domain of Proactive computing, which may be characterised as a comparatively new computer science research paradigm. In our study, we understand and use the notion ... [more ▼]

In the present work, we investigate the domain of Proactive computing, which may be characterised as a comparatively new computer science research paradigm. In our study, we understand and use the notion of Proactive Computing as it was defined by Dr. David L. Tennenhouse. Conceptually, the architecture and main framework of our software system is entirely based on underlying concept characteristics of the given approach. Being a new research paradigm, proactive computing doesn’t possess yet a clear methodological support and approach repository, which may subsequently provide us with the necessary research techniques and methods. An application of the proactive computing approach thus requires a thorough empirical and theoretical investigation. The main objective of the current research project is to design an effective methodological framework, which will subsequently allow us to provide our proactive system with a scientifically rationalised proof of concept. An acquisition of the scientific evidence is primarily accomplished through the design, implementation and testing of all composite theoretical, methodological and functional aspects of the proactive system’s framework. The present study aims to emphasise the importance of designing a coherent multidisciplinary methodological framework, which is initially based on the expertise of two research fields, computer science and cognitive science domains. The main composite aspects of our methodological structure are based on the specific multidisciplinary techniques from both research fields. We investigate the proactive computing paradigm within the defining principles of deterministic and probabilistic approach orientations, where we additionally apply the techniques of the cognitive modelling approach. All designed and implemented computational mechanisms, together with the realised empirical studies, collectively aim to formalise the concept characteristics of the proactive system. Ultimately, an effective validation of the employed methodological frameworks and their underlying computational techniques provide our system with the necessary, scientifically rationalised proof of concept. [less ▲]

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See detailEvaluating the Probabilistic side of Proactive Computing using Cognitive Modelling Methodology and the Statistical Inference of User’s Cognitive States
Shirnin, Denis UL; Zampunieris, Denis UL

in Proceedings of 2014 IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing - London, UK (2014)

In the following paper we present the work in progress, which aims to validate through theoretical and em- pirical study the probabilistic side of proactive computing. We choose the cognitive modelling ... [more ▼]

In the following paper we present the work in progress, which aims to validate through theoretical and em- pirical study the probabilistic side of proactive computing. We choose the cognitive modelling methodology as an approach to implement the probabilistic inference of user’s cognitive states during online activity. We create four cognitive models, which simulate various cognitive states of a user during the task of online search of medical terminology. Additionally, we elaborate several potential scenarios, which may take place during the given task, and we associate these scenarios with our models as the integral elements of the proactive system behaviour. Ultimately, by applying the rules of the Bayesian statistics, we envision to test the principles of proactive computing in the frame of probabilistic approach. [less ▲]

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See detailExperimentation of Proactive Computing in Context Aware Systems: Case Study of Human-Computer Interactions in e-Learning Environment
Shirnin, Denis UL; Reis, Sandro UL; Zampunieris, Denis UL

in Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2013 IEEE International Multi-Disciplinary Conference on (2013)

In this paper we show the implementation of the concept of Proactivity applied as the core mechanism in our Proactive Context Aware System (PCAS), which is capable to detect and extract the related events ... [more ▼]

In this paper we show the implementation of the concept of Proactivity applied as the core mechanism in our Proactive Context Aware System (PCAS), which is capable to detect and extract the related events of interest from the user's contextual situation and to provide the appropriate goal-oriented actions to this event with the objective to help or assist the user or the group of users. We have chosen the academic environment as the ongoing contextual setting for our system. From this perspective, we designed Proactive Scenarios for an automatic and enhanced management of the online learning and teaching activities on Moodle™ for both student and teacher users. Due to the diversity of the potential contexts and situations arising from the user's activity, we developed two kinds of Proactive Scenarios. The first type or Meta Scenarios are responsible for capturing the changes in the outward context. The second type or Target Scenarios are triggered off by Meta Scenarios and aim to undertake the appropriate actions in response to the conditions of the user's contextual situation. In order to test and validate the capability of our software as well as to analyse its context related outcomes we have performed empirical studies. The experiments consisted in creating two groups of students, on the one hand the study group, which used the Moodle™ platform enhanced by PCAS, and on the other hand the control group, which used the standard version of Moodle™. The subsequent data analysis showed significant differences in specific related results such as notable advantage of the study group outcomes in the category of passing the final exam, where the study group has performed by 11 percentage points better than the control group. [less ▲]

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See detailDesign of Proactive Scenarios and Rules for Enhanced e-Learning
Shirnin, Denis UL; Reis, Sandro UL; Zampunieris, Denis UL

in Proceedings of the 4th International Conference on Computer Supported Education, Porto, Portugal 16-18 April, 2012 (2012)

We show in this position paper how we designed Proactive Scenarios for an automatic and enhanced management of the online assignments on MoodleTM for both student and teacher users, through their ... [more ▼]

We show in this position paper how we designed Proactive Scenarios for an automatic and enhanced management of the online assignments on MoodleTM for both student and teacher users, through their implementation with Proactive Rules to be run on top of our prototype Proactive Engine developed for this LMS. According to the diversity of issues that arise from the users activity on LMS, Proactive Scenarios are of two main types, which differ in their main goals, features and complexity. Meta Scenarios are devoted to capture major events of interest and to trigger off the dedicated Target Scenarios, which will undertake the appropriate actions. These Proactive Scenarios will thus take care of specifically predefined situations such as notifications, reminders, problem prevention, user guiding etc. In our opinion, LMS supplemented by such capabilities could provide a boosted effect on the students’ learning process as it takes an individual approach for each user and therefore could be characterized as a type of intelligent tutoring system. However, in order to sustain or modify the direction of our research activity, we now consider to undertake empirical studies on real-life online courses using the Enhanced E-learning Platform, which runs our Proactive Scenarios. [less ▲]

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