This project takes a design research approach to investigate how interactive technologies can create smart, physical spaces that scaffold shared, meaningful experiences for diverse groups of people.

More information on the project homepage.

The 5th generation of mobile communications promises a lot: highest data rates, low latency, high reliability, high availability and at the same time high energy efficiency. The Center for HCI is involved in designing human-centered applications of 5G technology. We research how 5G might enable real-time collaboration through immersive technologies such as augmented reality for urban planning, as well as user experience in navigation and real-time feedback in sports.

Together with project partners, we are involved in 3 uses cases:

  • Collaborative urban planning: Participatory design for urban planning and design with immersive technologies such as augmented and virtual reality. Users will be able to interact with each other in real time and jointly propose suggestions for the Science City Itzling area. The latency, the quality of the visualization and the user experience of the interactions will be tested through experiments involving collaborative scenarios.
  • 5D Smart Campus: Creation of a ‘smart’ 5D system (space, time & context) that enables ‘smart services’ for employees and students of the University of Salzburg and facility management at Science City Itzling through a combination of 3D data, fixed-position sensors and mobile devices.
  • Real-time feedback in sport: recording of movements using sensors, intelligent linking and processing of different sensor data and transmission of the results as real-time feedback to the athletes.

Project partners


The 5G Exploration Space Salzburg is funded as part of the WISS2025 strategy of the State of Salzburg. The necessary equipment and frequencies for the operation of the 5G network are provided by Salzburg AG. Science City Itzling and Campus Urstein will serve as test sites. ITG, the innovation center for Salzburg, is an associated partner.

Project website:


Alexander Meschtscherjakov and Irina Paraschivoiu

Learning to program is a major challenge for many students. Since this skill is also becoming increasingly relevant for subjects that are not related to computer science, some students have had no previous contact with programming. The teachers have to respond to these different levels of knowledge and are faced with the task of creating and, above all, correcting suitable programming tasks.

The goal of the Austria-wide CodeAbility project is to develop a learning platform that supports students and teachers in teaching and learning programming. It is intended to standardise programming training at Austrian universities and also address the needs of beginners and students who are not familiar with computer science. By means of blended learning and learning analytics, the platform integrates into existing teaching and enables individual learning paths. In addition, it should promote networking between teachers at Austrian universities and enable the exchange of teaching material.

We ask how the learning platform must be designed in order to optimally support students in their learning process. How can motivation be strengthened and maintained throughout the semester? How can we overcome barriers to entry?

Project Website:

Duration: 2020 – 2024

Partners: University of Innsbruck, TU Graz, Vienna University of Technology, Johannes Kepler University Linz, University of Klagenfurt, Danube University Krems

Funding: CodeAbility is funded by the Federal Ministry of Education, Science and Research as part of the structural funds for higher education.


Contact: Anne Münzner

Trust in an automated system is characterized by the expectation that it will support a person in a situation characterized by uncertainty and vulnerability. It is, therefore, important to know in which situation one should rely on an intelligent function and when not to do so. If the reliability of the intelligent function is underestimated or overestimated, i.e. if it is not “calibrated” well enough, this leads to distrust or overtrust, and incorrect interaction with the system as a result.

Reliability displays are intended to provide information on the reliability of intelligent system functions and thus to align expectations with actual system capabilities. They provide the user with an opportunity to adapt their own acceptance- and trust-related attitude to a system function.

The aim of CALIBRaiTE is to join trust calibration via reliability displays and AI-based systems by apply this approach to predictive systems in the Building Information Modeling (BIM) context. In the project, a predictive BIM-UI is expanded with reliability indicators based on reliability requirements from domain experts. The indicators will undergo an evaluation and the resulting solutions will be captured as Design Patterns for reliability indicators.

Duration: 02/2020 – 01/2021

Funding: CALIBRaiTE is an exploratory project funded by the FFG via the IdeenLab 4.0 programme (Project-Nr. 878786).

Partners: CALIBRaiTE is a collaboration between the Center for HCI, The AIT Austrian Institute of Technology (Center for Technology Experience and Center for Digital Safety & Security), and BOC Asset Management GmbH.

Contact: Alexander Mirnig

advancing Social inclusion through Technology and EmPowerment (a-STEP)
COST Action CA19104

Social inclusion is an important element of well-being for people with Autism Spectrum Disorder (ASD) and/or Intellectual Disability (ID). Research has highlighted that social inclusion is facilitated through access to education and employment. Despite this, people with ASD and/or ID have low rates of participation in these domains. Research has demonstrated that Assistive Technology (AT) shows great promise in increasing participation in education and employment. Notwithstanding recent technological advances, there are low rates of adoption of AT throughout Europe by service providers, educators, employers and policymakers. There are several areas of unmet need including: high abandonment rates of AT, lack of inclusion of people with ASD and/or ID in the research process, lack of interdisciplinary and intersectoral collaboration and poor match between technology and the individual with ASD and/or ID.

The aim of the COST action is:

Build an interdisciplinary, intersectoral pan EU and beyond, network which will enhance social inclusion and empowerment of individuals with ASD and/or ID.

This will be achieved by:

Evaluating the development of novel AT by providing an interdisciplinary and intersectoral collaboration between all stakeholders using a translational approach to establish standardised practice guidelines for design, development and deployment of AT.

Creating knowledge, by providing a database of current AT technologies and their match to employment and educational contexts for users with ASD and/or ID.

Promoting the adoption of evidence-based guidelines in relation to use of AT across settings and populations and propagating the use of inclusive design and rigorous research approaches.

The Projectdaialog logo

In recent months and years, there have been many cases where AI systems were heavily criticized leading to weakened trust in artificial intelligence. Cases involving collection of huge amounts of personal data, discriminatory (biased) algorithms and AI-Systems which influenced voters’ choices. Such phenomenons have been happening worldwide, including Austria.

As Artificial Intelligence is getting quickly involved in more and more sectors, this project aims to encourage and promote fairness and trust in AI through participatory (design) formats.

Ethics and AI

We believe that AI has the potential to revolutionize many sectors. For example health care, by means of humanitarian distribution of goods, early infection detection and more.  Thus we deem it is critical, to include ethics as an integral part of Artificial Intelligence.

Research towards fair AI

One of our goals within dAIalog is to understand which effect ethical/unethical decisions made by AI can have. For this we want to develop tools and create a manual for fair AI, by compiling and generating information about it. We want to identify user groups and network the relevant actors and stakeholders through developing and carrying out participatory workshop formats.


Duration: 04/2020 – 03/2021

Funding: The project is financed by the FFG and has emerged from the Ideas Lab 4.0 call.

Link to project-website:



We want to examine the topic of fair AI with many different actors, ranging from computer scientists to philosophers in order to cover the broadest spectrum possible.

So we gathered up with people from different relevant organizations and companies based in Austria.

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In joining forces among research and industry, this project aims to investigate new symbiotic relationships between Human-Computer Interaction and architecture. Throughout this project we join the planning and construction of several kindergartens in the federal state of Salzburg in order to weave HCI and designerly thinking into those new built environments. By means of constructive design research and participatory approaches, we create hybrid spaces for kindergarteners that allow for playful interactions with the physical and digital alike. Reflecting on those deeply contextualised designs, we explore how HCI thinking can be better integrated with architectural building processes.

HIVE is a joint project among the research partners Center for HCI and the Institute for Ecomedicine (Paracelsus Medical University) as well as the industry partners Salzburg Wohnbau GmbH, Salzburg AG, Strabag, and Schlotterer Sonnenschutzsysteme GmbH. Further stakeholders that are heavily supporting the project are several kindergartens around Salzburg and other stakeholders including the architects and construction companies creating those kindergartens.

Duration: 2020 – 2022

Funding: Land Salzburg (WISS 2025)

Land Salzburg

In the course of the FFG Ideas Lab 4.0, the exploratory project KITKA (“Artificial Intelligence – Transparency through a catalogue-based platform for Austria”) was developed which involves the scientific partners Institute for Advanced Studies, University of Applied Sciences Upper Austria – Global Sales and Marketing and Center for Human-Computer Interaction (University of Salzburg) as well as the industry partner ONTEC AG.

Artificial intelligence (AI) systems have great potential for Austrian companies. However, many companies do not yet fully exploit this potential. A lack of trust in and knowledge about these systems are major barriers to their adequate use.

The overall goal of the project KITKA is therefore to increase the transparency of AI systems developed in Austria. In order to achieve this goal, the interdisciplinary project team will develop a catalogue of criteria and validate them with the help of other experts. These criteria will enable a holistic description and evaluation of AI systems. This means that besides a technical description of the systems, other perspectives (e.g. ethics, sociology, economy, psychology, data protection and HCI) will be considered. Within the one-year project, ten AI systems used or offered in Austria will be selected and described according to the catalogue of criteria. In addition, a platform will be conceptualized in order to present this information appropriately and to make it available to interested companies and the society in the future. The long-term vision of the KITKA team is to provide an open-access platform, which includes a large number of AI application examples from Austria.

Duration: 03/2020 – 02/2021

Funding: The project KITKA, financed by the FFG, has emerged from the Ideas Lab 4.0 with the question “How can we design AI systems or their algorithms in the most trustworthy way possible, taking into account ethical principles, so that Austrian companies accept them, and recognize and exploit their potential?”

Partners: Institute for Advanced Studies, University of Applied Sciences Upper Austria – Global Sales and Marketing, ONTEC AG




Contact: Hanna Braun

The Center for Human-Computer Interaction is part of a consortium in the Horizon2020 project HADRIAN. In this project we are dealing with the question how the interaction of drivers in semi-automated vehicles can be made safe.

The HADRIAN project (short for Holistic Approach for Driver Role Integration and Automation Allocation for European Mobility) is a project funded by the European Union. It involves 16 partners from science and industry from 9 countries (Austria, Germany, Spain, Greece, France, Slovenia, Netherlands, Turkey, Great Britain). Project partners include Virtual Vehicles, Ford, ASFINAG and universities from Athens, Granada, Surrey and Delft. The project started in December 2019 and has a duration of 42 months.

Highly automated driving promises more safety together with a multitude of previously unimagined possibilities, such as less stress and more meaningful activities while driving. However, the introduction and implementation of automated driving has so far fallen short of these promises. This is partly due to the fact that there is not yet sufficient research on how drivers interact with automated vehicles. Unanswered questions include:

  • How long may a transfer of the driving task between vehicle and human being take?
  • What role does socio-demographic data play in this?
  • What role does the context play (e.g. weather, type of road, traffic conditions)?
  • Which modalities should be used to ensure a safe handover?
  • How do you guarantee that drivers are informed about which tasks have to be taken over and when?

These and similar questions will be investigated by Associate Professor Dr. Alexander Meschtscherjakov and his team at the Center for HCI. Proposed solutions and user interfaces for so-called “fluid interfaces” are being developed. Following a user-centered approach, the designs are first tested in the driving simulator at the Center for HCI and finally examined while driving. Field demonstrations will be performed using the full range of passenger cars and trucks.

The overall goal of the project is to come closer to the “Vison Zero” (no traffic fatalities) of the European Union.

Duration: 12/2019 – 05/2024

Project Website:

Funding: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 875597.



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With age, driving experience increases, while ‘fitness-to-drive’ tends to decrease. Advanced Driver Assistance Systems (ADAS) can offer a mitigating solution here but they may also make driving more complex if they are not designed with respect to the needs of aging drivers. CARA II addresses this problem with products that are going to be highly personalised and specifically designed with the ageing drivers in mind.

CARA II is a follow-up project of CARA I, which was realized as a small but very ambitious research project from December 2018 to May 2019. With CARA I being a great success, it was awarded AAL’s project of the month in November 2019, a follow-up project was the next logical step for the project consortium led by Belgium company F2S2. CARA II came to life in December 2019.

With CARA I advancing into CARA II, the number of project partners and the project duration have increased. Now nine partners from three countries (NLD, BE, AT) are involved in the project – three companies (F2S2, SD-Insight, Jesco Auto Training School), four end user organizations (EURAG Austria, 50PLUS, KBO-PCOB, and NEOS) and the Center for Human-Computer Interaction as well as the Austrian Kuratorium für Verkehrssicherheit as research partners.

Based on what we have learned in CARA I from over 1.500 older drivers, CARA II now has a clear focus on further developing and testing the prototypes, created in CARA I, and also to establish valid and sustainable business models for each of the envisioned ADAS and other helpful tools.

An overview on the project and a description of the future products can also be found on the official CARA project website.

Duration: 12/2019 – 04/2021

Project Website:

Funding: This project is co-funded by the AAL Programme, the European Commission and the Flemish, Dutch and Austrian authorities​.

CARA II Funding Authorities