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IE 487 Independent
Study
Seniour Design Projects by Dr. Alexander Nikov |
Project 1: Usability
evaluation of an e-learning program in biology
Project
2: Human factors evaluation and design of industrial workplaces
Project
3: Usability evaluation of a web site
Project 4: Human factors evaluation and design of TV user interface
Project
5: Human factors study of hospital services
Project
6: Emotional Web Usability
Project
7: Adaptive web interface design based
Project
8: Neuro-fuzzy-GA-based usability evaluation of adaptive web systems
Project
9: Adaptive affective interactive system design
Project
10: Adaptive tutoring in business education
Project 11: User and task-adapted information filtering for Web-applications
Project 12: Adaptive affective computing (emotions in adaptive user interface design)
Project 13: Intelligent web agents for personalization and adaptivity
Project 14: Intelligent tutoring web-based systems
Project 15: Software quality control
Project 16: Agent-Based Intelligent Tutoring System
If
you need additional information about the projects proposed or you will
propose a project topic do not hesitate to contact me.
Dr. Alexander Nikov
Contact
information
nikov@fatih.edu.tr
(0212)
8890810 extension 1038
Office:
EA-103
http://www.fatih.edu.tr/~nikov
Office hours
Mondays 15-16, Tuesdays 11-12;
Wednesdays 11-12
by
email
any time
by appointment:
email or
phone to arrange one drop in for urgent requests (but no guarantees!)
Project
1: Usability evaluation of a e-learning program in biology
Usability evaluation of a e-learning program in biology by real end-users:
students. Allocation of usability problems and proposal for improving them.
Project
2: Human factors evaluation and design of industrial workplaces
Study of selected by
student(s) workplace(s) in a local industrial company from human
factors/ergonomics viewpoint. Application/modification/development of relevant
checklist-based tools for evaluation and design of the workplace(s). Proposals
for improvement of the workplace(s).
Project 3: Usability evaluation of web sites
Usability evaluation of selected by
student(s) web site of a local company. Application/modification/development of relevant
usability evaluation checklist-based tools and automated usability evaluation
tools. Proposals
for improving web site. No programming
Project 4: Human factors evaluation and design of TV user interface
Study of selected by
student(s) TV user interface from human factors/ergonomics viewpoint.
Application/modification/development of relevant checklist-based tools for
evaluation of TV user interface. Proposals for improvement of TV user interface.
Project 5: Human factors
study of hospital services
Study of hospital
services based on real data from Turkish hospitals. Proposals for improvement of
hospital services.
Project
6: Emotional Web Usability
A model of the factors affecting the users’ emotion of web systems will be developed. The model can be based on modern mathematical approaches like neural networks, fuzzy logic, genetic algorithms, etc. A simulation of the model will be carried out. For a selected web system are realized different variants of the user interface according to the model. Experimental study of the influence of the factors of the model will be carried out. Recommendations for design of interactive web systems taking into account user’s emotions (emotional web usability) are developed.
Project
7: Adaptive web interface design
Objective of the project is the selection/modification/development of a model for adapting web interfaces to user. This model is based on the principles of human-computer interaction and on modern mathematical approaches like neural networks, fuzzy logic, genetic algorithms, etc. An user model is created, which includes user’s work stereotypes, preferences, knowledge, etc. For this purpose data of user’s work with a concrete interactive system (loggings) are used. This model allows the computer to take routine work, and quicker access to information needed and reduce the workload of user.
Project
8: Neuro-fuzzy-GA based usability evaluation of adaptive web systems
A method for usability evaluation of adaptive/adaptable web systems should be develeoped. An aggregated usability evaluation is calculated based on objective on-line data and on subjective off-line checklist data form a study of the users of a web interactive system. Modern mathematical approaches like neural networks, fuzzy logic, genetic algorithms, etc. can be used. Experimental simulation study of an adaptive/adaptable system is carried out. Based on the results are developed proposals for usabity improvement of the web system. By this approach can be developed user-friendly interface, which reduce the user’s workload, ensures quicker access to the information needed, increases user’s workload, allows quicker training, etc.
Project 9: Adaptive affective interactive system design
A model for adapting web interfaces to user taking into account her/his emotions will be developed (adaptive affective computing). The model is based on modern mathematical approaches like neural networks, fuzzy logic, genetic algorithms, control theory, etc. For creation of the model will be carried out a simulation study. Some factors, affecting user’s emotions will be studied. Experimental validation of the model by usability study of an interactive system.
Project
10: Adaptive tutoring in business education
To make interactive education systems more beneficial and adaptive to the student needs an approach will be developed. It is based on modern mathematical approaches like neural networks, fuzzy logic, genetic algorithms, etc. A detailed analysis of the history of the information the student already looked at establishes the basis of an implicit student model. This model determines the cognitive state (knowledge degree reached) and the learning preferences (e.g. information about student's perceptive capabilities) for each student. In this way by the approach is captured the students problem solving and allocated sub-optimalities of their solutions, i.e. missing conceptions in the student knowledge. The approach will implemented in an adaptive tutoring system for business education (e.g. for the marginal costing topic). The approach allows easy student modeling and thus adapting the tutoring system to the student. Possible cooperation with Massey University, New Zealand.
Alexander Nikov
IE 487 Independent Study
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