PhD in Human-Computer Interaction
Human–Computer Interaction (HCI) is a research field focused on designing and studying the ways people interact with computer technology. HCI researchers examine how humans engage with computers and create technologies that facilitate new forms of interaction. As a multidisciplinary research field, HCI sits at the crossroads of computer science, behavioral sciences, design, psychology, media studies, AI, and other disciplines. In general, the area is focusing on the following methods and approaches:
- Design Methods: Techniques for creating new computer interfaces to optimize key attributes like learnability, findability, and usage efficiency.
- Implementation Methods: Approaches for developing technologies.
- Evaluation Methods: Techniques for assessing and comparing interfaces based on usability and other key properties.
- Study Methods: Approaches for examining human-computer interaction and its broader sociocultural implications.
- Human-Computer Differentiation: Methods for determining whether the user is human or an automated system.
- Models and Theories: Conceptual frameworks for interface design, such as cognitivist user models, Activity Theory, or ethnomethodological perspectives on human-computer interaction.
- Critical Perspectives: Approaches that reflect on the values underlying computational design, technology use, and research practices in HCI.
At OUC broad topics of interest include, but are not limited to:
Human-AI Interaction: Understanding how people live, work, and collaborate with AI enabled algorithmic technology is becoming an important research area. Current HCI methods and practices are not fully equipped to address the demands and complexities of this ever-evolving technology landscape. Key questions include how to effectively and ethically distribute effort, responsibility, and authority between humans and machines, when systems should take initiative and automate tasks, and how users can identify and address machine errors.
Explainable AI (XAI): How to design explanations of AI enabled systems’ decisions that would be suitable for different audiences? How to make this explanations be timely, usable and understandable by the targeted audience? These are critical questions that are yet to be investigated especially in collaborative and decision support systems.
Social Computing: Social computing refers to the interactive and collaborative behaviors that occur between people and technology.
Emotions and Human–Computer Interaction: how computers can detect, process, and respond to human emotions, contributing to the development of emotionally intelligent systems.
User Modeling and Personalization: using computational techniques to model individual users or groups of users and designing systems that adapt to these users through personalized information/approaches. Most popular systems are recommender systems and persuasive system.
Fairness, Accountability, Transparency, and Ethics (FATE) in Sociotechnical Systems: How can we design sociotechnical systems that ensure fairness, justice, accountability, transparency, and ethics, and how can we study these concepts in real-world settings? Researchers address these challenges by combining approaches from HCI, statistics, law, social sciences, AI, machine learning, the humanities, and policy, fostering a deeper understanding of how to create and assess ethically aligned systems.
Games and Play: In this research field, we combine design and technological innovation to develop new, playful experiences while also examining the effects of games and play on players. For example, we investigate how players think, feel, and behave, fostering meaningful changes in their perspectives and actions.
Design: How can we design interfaces that will enable and enhance the communication between humans and computer technologies? Especially with the development of AI enabled algorithmic systems, innovative techniques should be investigated on efficient, effective and usable communication and collaboration between the two entities.
We encourage prospective students to suggest topics related to the above areas.
Η ελάχιστη χρονική διάρκεια που απαιτείται για την ολοκλήρωση του διδακτορικού είναι τα τρία (3) χρόνια και η μέγιστη τα οκτώ (8) χρόνια.
ΕΥΡΩΠΑΪΚΕΣ ΠΙΣΤΩΤΙΚΕΣ ΜΟΝΑΔΕΣ (ECTS): 180
ΓΛΩΣΣΑ ΔΙΔΑΣΚΑΛΙΑΣ: Αγγλικά
ΕΠΙΠΕΔΟ: Διδακτορικό
TITΛΟΣ ΠΟΥ ΑΠΟΝΕΜΕΤΑΙ: PhD
ΠΡΟΫΠΟΘΕΣΕΙΣ ΕΙΣΑΓΩΓΗΣ
Candidates must:
- be holders of a Masters degree related to or similar to the research areas listed above, e.g. Computer Science, Information Systems, Management of Information Systems, Psychology, Social Sciences, Design, HCI.
- have excellent knowledge of the English language
For any other general information those interested can also contact Ms. Marianna Prodromou (
Additional qualifications for candidates are:
- Any publications in prestigious international scientific journals and conferences in the above cognitive areas
- Any participation in research projects
- Previous work or other experience in the above topics.
For initial inquiry and discussion on potential topics of interest, you are encouraged to contact Assistant Professor Dr. Styliani Kleanthous (
Candidates must submit:
- Complete and detailed CV
- If there are any, a detailed list of publications or participation in research projects
- Full research proposal up to 2000 words including:
- A Preliminary Title of the Doctoral Thesis
- Statement of interest (the subject you are interested in must be explicitly stated)
- Problem statement, purpose of doctoral dissertation (depending on the topic you choose) and importance of the research
- Research questions/objectives
- Brief analysis of the current situation depending on the topic you choose
- Research methodology of approaching the subject
- Expected results & impacts
- Implementation schedule
- Suggested bibliography
Candidates who do not submit complete supporting documents as listed in point 1-3 will not be evaluated.
ΔΙΔΑΚΤΡΑ
Τα δίδακτρα για τα διδακτορικά προγράμματα ανέρχονται σε €675 ανά εξάμηνο για τα πρώτα έξι (6) εξάμηνα. Σε περίπτωση που η φοίτηση έχει μεγαλύτερη διάρκεια, τότε ισχύει το ακόλουθο: για τα πρώτα πέντε (5) και το τελευταίο εξάμηνο, το κόστος ανέρχεται σε €675 ανά εξάμηνο και για τα υπόλοιπα, ενδιάμεσα εξάμηνα, το κόστος ανέρχεται σε €100 ανά εξάμηνο. Για τη «Συγγραφή Επιστημονικών Εργασιών (ΔΧΧΧ796)» και τη «Μεθοδολογία της Έρευνας (ΔΧΧΧΧ795)», οι οποίες είναι υποχρεωτικές κατά την έναρξη της φοίτησης, δεν καταβάλλονται δίδακτρα.
Σε ό,τι αφορά στην παραχώρηση εκπτώσεων και τη χορήγηση υποτροφιών, ακολουθείται η ευρύτερη πολιτική του Πανεπιστημίου.
ΑΙΤΗΣΕΙΣ ΕΙΣΔΟΧΗΣ
Οι αιτήσεις εισδοχής υποβάλλονται αποκλειστικά ηλεκτρονικά:
Για το ακαδημαϊκό έτος 2024-2025, με έναρξη φοίτησης το εαρινό εξάμηνο (Ιανουάριος 2025), οι ημερομηνίες υποβολής αιτήσεων είναι 16 Σεπτεμβρίου - 30 Οκτωβρίου 2024.
Πληροφορίες:
Dr. Jahna Otterbacher, Associate Professor,
Γραμματεία ΣΘΕΕ
Προδρόμου Μαριάννα (Γραμματειακή Λειτουργός),