Entity

Time filter

Source Type

Ljubljana, Slovenia

Pipan G.,XLAB Research
Future Generation Computer Systems | Year: 2010

This paper presents a fully decentralised, efficient and highly scalable resource-discovery approach that is applicable to large heterogeneous and highly dynamic distributed systems. The approach is based on a hybrid overlay network, named TRIPOD, which enables an efficient search for resources in the aforementioned highly distributed, dynamic and largely heterogeneous systems. The key advantages of our solution are its efficient proximity searching, an ability to search over highly dynamic resource properties, the in-built fault tolerance and robustness and, finally, its very low and manageable network overhead. © 2010 Elsevier B.V. All rights reserved. Source


Blazica B.,XLAB Research | Blazica B.,Jozef Stefan International Postgraduate School
Informatica (Slovenia) | Year: 2014

In computer science, context-awareness refers to the capability of a computing device to sense, understand and react to contextual information, i.e. information that is not at the centre of an activity but is still relevant for that activity. A computing device does not necessarily interact with humans at a given moment, but when it does, its Context-Awareness has many implications for human-computer interaction. The thesis that this paper surmises looks at Natural User Interfaces from a Context- Awareness perspective. Source


Blazica B.,XLAB Research | Blazica B.,Jozef Stefan International Postgraduate School | Vladusic D.,XLAB Research | Mladenic D.,Jozef Stefan International Postgraduate School | Mladenic D.,Jozef Stefan Institute
Personal and Ubiquitous Computing | Year: 2013

In the age of digital photography, the amount of photos we have in our personal collections has increased substantially along with the effort needed to manage these new, larger collections. This issue has already been addressed in various ways: from organization by meta-data analysis to image recognition and social network analysis. We introduce a new, more personal perspective on photowork that aims at understanding the user and his/her subjective relationship to the photos. It does so by means of implicit human-computer interaction, that is, by observing the user's interaction with the photos. In order to study this interaction, we designed an experiment to see how people behave when manipulating photos on a tablet and how this implicitly conveyed information can be used to aid photo collection management.© Springer-Verlag London 2013. Source


Blazica B.,XLAB Research | Lewis J.R.,IBM
International Journal of Human-Computer Interaction | Year: 2015

The System Usability Scale (SUS) is a widely adopted and studied questionnaire for usability evaluation. It is technology independent and has been used to evaluate the perceived usability of a broad range of products, including hardware, software, and websites. In this article we present a Slovene translation of the SUS (the SUS-SI) along with the procedure used in its translation and psychometric evaluation. The results indicated that the SUS-SI has properties similar to the English version. Slovene usability practitioners should be able to use the SUS-SI with confidence when conducting user research. ©, Copyright © Taylor & Francis Group, LLC. Source


Blazica B.,XLAB Research | Blazica B.,Jozef Stefan International Postgraduate School | Vladusic D.,XLAB Research | Mladenic D.,Jozef Stefan International Postgraduate School
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

This paper describes our approach to hand detection on a multitouch surface i.e. detecting how many hands are currently on the surface and associating each touch point to its corresponding hand. Our goal was to find a general software-based solution to this problem applicable to all multitouch surfaces regardless of their construction. We therefore approached hand detection with a limited amount of information: the position of each touch point. We propose HDCMD (Hand Detection with Clustering on Multitouch Displays), a simple clustering algorithm based on heuristics that exploit the knowledge of the anatomy of the human hand. The proposed hand detection algorithm's accuracy evaluated on synthetic data (97%) significantly outperformed XMeans (21%) and DBScan (67%). © 2013 Springer-Verlag. Source

Discover hidden collaborations