Home Page

We are interested in enabling natural human-computer interaction by combining techniques from machine learning, computer vision, computer graphics, human-computer interaction and psychology. Specific areas that we focus on include: multimodal human-computer interfaces, affective computing, pen-based interfaces, sketch-based applications, intelligent user interfaces, applications of computer vision and machine learning to solving real world problems. Browse through the publications and research pages to get a flavor of IUI@Koc.

iAutoMotion – an Autonomous Content-based Video Retrieval Engine
This paper introduces iAutoMotion, an autonomous video retrieval system that requires only minimal user input. It is based on the
Read more.
Multimodal Data Collection of Human-Robot Humorous Interactions in the JOKER Project
Thanks to a remarkably great ability to show amusement and engagement,  aughter is one of the most important social markers
Read more.
Recent developments and results of ASC-Inclusion: An Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions
Individuals with Autism Spectrum Conditions (ASC) have marked difficulties using verbal and non-verbal communication for social interaction.  The ASC-Inclusion project
Read more.
Active learning for sketch recognition
The increasing availability of pen-based tablets, and pen-based interfaces opened the avenue for computer graphics applications that can utilize sketch
Read more.
HaptiStylus: A Novel Stylus Capable of Displaying Movement and Rotational Torque Effects
With the emergence of pen-enabled tablets and mobile devices, stylus-based interaction has been receiving increasing attention. Unfortunately, styluses available in
Read more.
Identifying visual attributes for object recognition from text and taxonomy
Attributes of objects such as “square”, “metallic”, and“red” allow a way for humans to explain or discriminate object categories. These
Read more.
IMOTION — A Content-Based Video Retrieval Engine
This paper introduces the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. For vector space retrieval, the
Read more.
Real-Time Activity Prediction: A Gaze-Based Approach for Early Recognition of Pen-Based Interaction Tasks
Recently there has been a growing interest in sketch recognition technologies for facilitating human-computer interaction. Existing sketch recognition studies mainly
Read more.
SVM-based Sketch Recognition: Which Hyperparameter Interval to Try?
Hyperparameters are among the most crucial factors that affect the performance of machine learning algorithms. In general, there is no
Read more.
Recognition of Haptic Interaction Patterns in Dyadic Joint Object Manipulation
The development of robots that can physically cooperate with humans has attained interest in the last decades. Obviously, this effort
Read more.