Koç University IUI – Intelligent User Interfaces Laboratory

About

We are interested in enabling natural human-computer interaction by combining techniques from computer vision, machine learning, 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.

The ASC-Inclusion Perceptual Serious Gaming Platform for Autistic Children

‘Serious games’ are becoming extremely relevant to individuals who have specific needs, such as children with an Autism Spectrum Condition

HapTable: An Interactive Tabletop Providing Online Haptic Feedback for Touch Gestures

We present HapTable; a multi–modal interactive tabletop that allows users to interact with digital images and objects through natural touch

Audio-Visual Prediction of Head-Nod and Turn-Taking Events in Dyadic Interactions

Head-nods and turn-taking both significantly contribute conversational dynamics in dyadic interactions. Timely prediction and use of these events is quite

Multifaceted Engagement in Social Interaction with a Machine: the JOKER Project

This paper addresses the problem of evaluating engagement of the human participant by combining verbal and nonverbal behaviour along with

Gaze-based predictive user interfaces: Visualizing user intentions in the presence of uncertainty

Human eyes exhibit different characteristic patterns during different virtual interaction tasks such as moving a window, scrolling a piece of

Visualization Literacy at Elementary School

This work advances our understanding of children’s visualization literacy, and aims to improve it with a novel approach for teaching

CHER-ish: A sketch- and image-based system for 3D representation and documentation of cultural heritage sites

We present a work-in-progress report on a sketch- and image-based software called “CHER-ish” designed to help make sense of the

Audio-Facial Laughter Detection in Naturalistic Dyadic Conversations

We address the problem of continuous laughter detection over audio-facial input streams obtained from naturalistic dyadic conversations. We ﬁrst present

Computers & Graphics

Sketch recognition is the task of converting hand-drawn digital ink into symbolic computer representations. Since the early days of sketch

Characterizing User Behavior for Speech and Sketch-based Video Retrieval Interfaces

From a user interaction perspective, speech and sketching make a good couple for describing motion. Speech allows easy specification of

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