Enabling efficient, supportive and pleasant user-adapted communication
The User-Adapted Communication and Ambient Intelligence Lab is focused on innovating user interaction to context-dependent communication applications and services. Across a wide span of applications (including telecommunications, multimedia access, learning, and an intelligent user environment), our central goal is to improve the service brought to the end-user in terms of her/his experience, satisfaction, efficiency and gain. Our interest is to bring a solution to the end-users that is adapted to real-world challenges.

Research Challenges

The following challenges are to be addressed on the way to the user-adapted solutions:

  • Human-machine communication is context dependent.
  • The natural user-to-machine communication is dependent on user’s personality, mood and emotions.
  • The user-to-machine communication is continuous. 
  • The communication system is autonomous in terms of information gathering and intelligent decision.

To make a step forward towards a solution of the above-listed challenges, our group is concentrating on the following fields:

  • User modelling and context-aware conversational recommender systems. 
  • User interface design. 
  • Multimedia signals and communication.
  • Social signals.
  • Internet of things (IoT) and big-data analysis for end-user context identification.
  • Special communication hardware solutions. 
  • Social network user-data acquisition.

Read more.


The User-adapted Communication and Ambient Intelligence Lab (LUCAMI) at the Faculty of Electrical Engineering was established in 2014, following the 21 years of Digital Signal, Image and Video Processing Laboratory (LDOS).


Head: Professor Andrej Košir

Contact Info


Student applications for the PKP project

Podjetje Ektimo d.o.o vabi študente elektrotehnike, da se prijavijo za sodelovanje pri projektu “Uporaba umetne inteligence pri anonimizaciji človeških obrazov – AnonAI“. Projekt bo potekal od 1.3.2019 do 31.7.2019. Študenti so vabljeni, da do 8.2.2019 posredujejo prijavo z dokumentacijo na naslov info@ektimo.si. Več informacij je v prilogi: Razpis studenti AnonAI.pdf


Paper on student project building up student’s career prospects

Urban Burnik, Andrej Košir: Industrial product design project: building up engineering students’ career prospects The needs to bridge the academic skills of students involved in higher education and improve their readiness for employment in industry are being widely addressed. This paper presents results of a specific engineering project case supervised by…


Paper on emotion elicitation in socially intelligent services

Andrej Košir, Gregor Strle: Emotion Elicitation in a Socially Intelligent Service: The Typing Tutor The aim of the study is to evaluate the extent to which the machine emotion elicitation can influence the affective state (valence and arousal) of the learner during a tutoring session. The tutor provides continuous real-time…


Paper on student attention related to their learning gain

Urban Burnik, Janez Zaletelj, Andrej Košir: Video-based learners’ observed attention estimates for lecture learning gain evaluation This paper suggests an objective and non-intrusive evaluation of learners’ attention against learning outcomes by introducing an observed attention estimate (OAE). The procedure uses human annotations based on visual cues with a supporting video…


Paper on computational model of user’s attention

Marko Meža, Janja Košir, Gregor Strle, and Andrej Košir: Towards Automatic Real-Time Estimation of Observed Learner’s Attention Using Psychophysiological and Affective Signals: The Touch-Typing Study Case This article presents an experimental study on the real-time estimation of observed learners’ attention given the task of touch-typing. The aim is to examine whether…


Open PHD position

We have an open PhD position starting in 2017 financed by the Nielsen company. The objective of this PhD study is to design an automated personal multimedia exposure meter: Computational Approach towards Evaluating Cognitive Load on HCI-Related Tasks. This will be achieved by: 1.) creating an ambient data collection in line…


TEDx talk Andrej Košir: Social intelligence in communication

TEDx talk on artificial social intelligence is now available online.

tedx ljubljana

TEDx Talk of Prof. Kosir

Prof. Andrej Kosir will give a talk at the upcoming TEDx Event in Ljubljana, Cankarjev dom, on Sunday, 4th December 2016. Prof. Kosir will be talking about socially intelligent systems, and their application in the fields of elderly care and technology enhanced learning. Those systems are capable of detecting and…



Call for papers – Student centered web-based learning

  SETE 2016 Workshop: Student centered web-based learning Call for papers Workshop is organized with SETE 2016 – 1st International Symposium on Emerging Technologies for Education (link) in conjunction with ICWL 2016 – 15th International Conference on Web-based Learning (link) Where: Rome, Italy When:  26-29 October 2016 (exact date of the…


Frontiers Research Topic Socially aware communication application CFP is out

The call for papers is available at this link.


PKP Project Distributed lab of users will be presented at Higher Education and Scholarship Fair in Zagreb.

The project was selected for presentation during Higher Education and Scholarship Fair in Zagreb on October 13th as a part of the University of Ljubljana activity.


EMPIRE workshop on Emotions and Personality in personalized services

We organized a workshop on Emotions and Personality in personalized services EMPIRE at RecSys 2015 conference. We had 6 papers and two very attractive keynotes!


PKP Project Distributed lab of users: new socially aware application

The project on Socially aware communication applications was successfully launched the first version of Blind typing tutor available at this link. Try it out!


Interactive and personalized TV services

Personalized user experience in viewing multi-channel, interactive television programmes. We have developed interactive systems to support on-line feedback collection from tv viewers.


Natural user interfaces using gestures

Lab is active in discovering new types of human-computer interaction through body gestures, voice etc. We use Kinect sensor as well as audio inputs to detect user’s commands. Human-Computer Interaction research is focused on “natural” interfaces, which use human gestures and postures as well as audio commands to control applications.…