From | To | Location | |
09:00 | 09:45 | Avla Galeb | REGISTRATION |
09:45 | 10:00 | Avla Galeb | Welcome by the Chairs |
10:00 | 11:00 | Avla Galeb | SESSION 1: Opening Keynote (Chair: Matjaž Kljun) |
10:00 | 11:00 | Keynote: Gregor Geršak | |
11:00 | 11:30 | Avla Galeb | POSTER/COFFEE BREAK |
11:30 | 12:30 | Avla Galeb | SESSION 2: Papers (Chair: Veljko Pejović) |
11:30 | 11:45 | Elham Motamedi and Marko Tkalcic. Prediction of Eudaimonic and Hedonic Movie Characteristics From Subtitles | |
11:45 | 12:00 | Mateja Jovanović, Vida Groznik and Marko Tkalčič. Predicting the Gullibility of Users from their Online Behaviour. | |
12:00 | 12:15 | Patrik Kocjančič, Kljun Matjaž and Klen Čopič Pucihar. Primerjava vnosa besedila v virtualnem okolju na različnih postavitvah tipkovnice (Comparison of text entry on dierent keyboard layouts in virtual reality) | |
12:15 | 12:30 | Maheshya Weerasinghe, Klen Čopič Pucihar and Matjaž Kljun. Playing with the Artworks: A personalised artwork experience | |
12:30 | 14:30 | LUNCH BREAK | |
14:30 | 15:30 | Avla Galeb | SESSION 3: Papers (Chair: Klen Čopič Pucihar) |
14:30 | 14:45 | Anže Kristan, Daniel Pellarini and Veljko Pejović. Not Deep Enough: Autoencoders for Automatic Feature Extraction in Wireless Cognitive Load Inference | |
14:45 | 15:00 | Andraž Krašovec and Veljko Pejovic. Investigating Sensor Modality Informativeness and Stability for Behavioural Authentication | |
15:00 | 15:15 | Sead Hrustanović, Branko Kavšek and Marko Tkalčič. Recognition of eudaemonic and hedonic qualities from song lyrics | |
15:15 | 15:30 | Jose Maria Iii Santiago, Giselle Nodalo, Jolene Valenzuela and Jordan Aiko Deja. Explore, Edit, Guess: Understanding Novice Programmers’ Use of CodeBlocks for Regression Experiments | |
15:30 | 16:00 | Avla Galeb | POSTER/COFFEE BREAK |
16:00 | 17:00 | VP2 | SESSION 4: Closing Keynote (Chair: Marko Tkalčič) |
16:00 | 17:00 | Keynote: Peter Knees | |
17:00 | 18:00 | Panel/Wrap up |
Yearly Archives: 2021
Keynote speakers for HCI SI will be Peter Knees and Gregor Geršak
Peter Knees is Associate Professor at the Vienna University of Technology, Faculty of Informatics. He is an active member of the Music Information Retrieval research community, reaching out to the related fields of multimedia and text information retrieval, recommender systems, and the digital arts. His research activities center on music search engines and interfaces as well as music recommender systems, and more recently, on smart(er) tools for music creation. He co-authored the book “Music Similarity and Retrieval: An Introduction” and is a contributor of the Digital Humanism initiative.
Gregor Geršak received the Ph.D. degree from the Faculty of Electrical Engineering, University of Ljubljana. His research interests include the theory of measurements, precision measurement of magnetic flux density, and pressure and thermometry. His focus is on metrology of biomedical instrumentation with emphasis on devices for non-invasive blood pressure measurement and psychophysiological measurements.
HCI SI 2021
We had a wonderful time last year. Welcome to join us this year!
For details, see call for papers – click here.