Faculty of Technical Sciences

University of Novi Sad

Subject: Human-machine interaction (17.HDOKL5)

Native organizations units: No data
 
Type of studies Title
Doctoral Academic Studies Information Systems Engineering (Godina: 2, Winter)
Doctoral Academic Studies Mechatronics (Godina: 2, Winter)
General information:
 
Category Scientific-professional
Scientific or art field Mehatronika, robotika i automatizacija i integrisani sistemi
Interdisciplinary Yes
ECTS 10
Educational goal:

The course introduces selected concepts, methods and techniques in the field of human-machine interaction, with special focus on natural language processing.

Educational outcome:

Students will gain an understanding of the key concepts, methods and techniques in the field of human-machine interaction, and will be able to critically analyze their use and interrogate relevant scientific literature.

Course content:

Language modeling, acoustic modeling, natural language understanding, context modeling, human-machine interaction management, multimodal interaction, specification and design of conversational agents, social robots, critical review of methodological approaches, ethical issues.

Teaching methods:

Lectures, consultations and mentoring (depending on the number of students). Research work.

Literature:
Authors Title Year Publisher Language
Bartneck, C., Belpaeme, T., Eyssel, F., Kanda, T, Keijsers, M., Šabanović, S. Human-Robot Interaction: An Introduction 2020 Cambridge University Press English
Gnjatović M. Uvod u pronalaženje informacija na vebu 2017 Visoka škola elektrotehnike i računarstva strukovnih studija, Beograd Serbian language
Jurafsky, D., Martin, J.H. Speech and Language Processing: An Introduction to Natural Language Processing, Speech Recognition, and Computational Linguistics 2009 Prentice-Hall English
Siciliano, B., Khatib, O. Handbook of Robotics 2008 Springer English
Jacko, J.A. Human computer interaction handbook: Fundamentals, evolving technologies, and emerging applications 2012 CRC Press English
Manning, C.D., Raghavan, P., Schütze, H. Introduction to Information Retrieval 2008 Cambridge University Press English
Knowledge evaluation:
Course activity Pre-examination Obligations Number of points
Project Yes Yes 50.00
Oral part of the exam No Yes 50.00
Lecturers:
API Image

doc. dr Savić Srđan

Assistant Professor

Study research work
API Image

doc. dr Savić Srđan

Assistant Professor

Lectures
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prof. dr Raković Mirko

Full Professor

Study research work
API Image

prof. dr Raković Mirko

Full Professor

Lectures

Faculty of Technical Sciences

University of Novi Sad
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© 2024. Faculty of Technical Sciences.