Artifact-based Computing and User Research

Computers have become an integral part of our everyday lives. While in the past we have used these machines only occasionally to perform calculations, manage data, run simulations, or browse the web, they are now substantially embedded in our private and working environments. Mobile devices, smart speakers, or home automation have become mass markets, but these technologies are just the beginning.

What We Do

Recent advances in sensing, processing, and machine learning are expected to gradually transition our world into a new era where machines take initiative and proactively approach their users, while gradually fading into sensitive application areas with societal and ethical consequences. This development is propelled by new modalities of interaction, such as voice, virtual/augmented reality, emerging sensing opportunities introspecting users, and new capabilities of predicting user needs and intentions.

Main research focus

  • Research through design in transdisciplinary settings
  • AI-driven assistance and companion systems
  • Human-machine and human-AI cooperation in a variety of contexts
  • Adaptive and attention-aware information systems
  • Explainability, transparency, and accountability of AI systems
  • New interaction modalities such as voice and AR/VR
  • Human-centered design in all stages from ideation to implementation
  • User experience design
  • Co-creation of common artifacts
  • Quantitative and qualitative evaluation of digital artifacts
  • Societal, ethical, and gender-related implications of emerging technologies

Recent Publications

“Gear Up for Safety:Development and Evaluation of an Assisted Bicycle” – 2021

“Human-machine collaboration on data annotation of images by semi-automatic labeling” – 2021

 

Projects

Human-Robot Collaboration

Exploring the different ways we can improve collaboration between man and machine, while leveraging their individual strengths 

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motor learning

Haptic interactions such as Electric muscle stimulation (EMS) need an understanding of parameters concerning the design of bodily integration systems, and ways to promote appropriate experiences. We investigate the elements that may influence an EMS system’s user experience, notably the user acceptance with having the body actuated, as well as the relationship with motor learning.

 

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eternity bike

We develop and evaluate the implementation of a self-balancing assisted bicycle, with the aim to integrate safety features, devices and add connected driving features. So far, we have developed a high-fidelity VR bicycle simulator to conduct realistic studies with human participants

 

 

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aspern.mobil LAB

The aspern.mobil LAB creates a space where residents, researchers, municipalities and companies can collectively contribute to the development of new, urban mobility in Seestadt Aspern. It aims to locally establish and support a new culture of mobility and innovation that can become a local flagship project for Austria as a location for innovation. Mobility and innovation culture should be carried by the community emerging around aspern.mobili LAB. The lab serves as an infrastructure for research and development. The core areas of innovative mobility solutions include active mobility, shared mobility as a service, as well as first/last-mile logistics and the analysis of their spatial, economic, ecological and social added value.

Previous Projects
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Theses

Open Theses:

Behind the Wall: Collaborating with a robot with no direct line of sight (Diploma)

Computer Aided Sustainability: Visualizing Future Impact of Personal Choices on the Environment (Bachelor  |  Diploma)

Digital Dentist – Investigating the processes involved between patient and dentist (Bachelor)

Improving Driver Take-Over with Reinforcement Learning: A Human-centered Approach (Bachelor  |  Diploma)

Interactive turn-off guard for cyclists (Diploma)

Investigating Rotational Motion in Virtual Reality Bicycle Simulators (Diploma)

Physically Realistic Force Simulation for a VR Bicycle Simulator (Bachelor  |  Diploma)

“Green Fifteen” –Concept of dynamic grouping of cyclists in traffic (Bachelor)

Concluded Theses

Teaching

2022S

2021W

Our People

Staff

Andrea Birbaumer

External Lecturer

Florian Cech

Research Assistant

Khaled Kassem

Research Assistant

Florian Michahelles

Professor

Gerfried Mikusch

Research Assistant

Ioana Nicoara

Secretariat

Marcel Peralt-Bonell

Student Staff

Ambika Shahu

Research Assistant

Gerald Steinhardt

Professor

Hilda Tellioglu

Professor

Volodymyr Tretyak

Student Staff

Mert Usul

Student Staff

Philipp Wintersberger

Post-Doc

IT Services

Johannes Fromm

Simone Risslegger

Patrick Wolowicz

Former Colleagues

Find us

Favoritenstrasse 9-11
2. Stock (Stiege 3)
1040 Vienna
Austria

1) Favoritenstraße 9
1) Favoritenstraße 9
2) Through the main gate
2) Through the main gate
3) Straight ahead till the automatic door on the right
3) Straight ahead till the automatic door on the right
4) Through the automatic door and slightly towards the left
4) Through the automatic door and slightly towards the left
5) Into the elevator
5) Into the elevator
6) Second floor
6) Second floor
7) Exit the elevator
7) Exit the elevator
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Contact:
Office Services
Ioana Nicoara
ioana.nicoara@tuwien.ac.at
+43-1-58801-193407

Artifact-based Computing and User Research TU WienFollow

Artifact-based Computing and User Research TU Wien
acurTuWienArtifact-based Computing and User Research TU Wien@acurTuWien·
16 Mar

Ambika is presenting our paper "Scenario-based Investigation of Acceptance of Electric Muscle Stimulation" at the Augmented Human Conference Satellite event in Munich!

see the paper here: https://www.researchgate.net/publication/359257445_Scenario-based_Investigation_of_Acceptance_of_Electric_Muscle_Stimulation

Artifact-based Computing and User Research TU Wien@acurTuWien

We just received the first acceptance notification for a full paper based solely on research conducted in our newly founded group!🥳

Reply on Twitter 1504029463335608320Retweet on Twitter 15040294633356083201Like on Twitter 15040294633356083203Twitter 1504029463335608320
acurTuWienArtifact-based Computing and User Research TU Wien@acurTuWien·
31 Jan

Are you working on new forms of human-AI interactions and experiences? We are looking forward to your abstract by March 18 and your paper by April 1st.

https://www.computer.org/digital-library/magazines/pc/cfp-human-centered-ai

Reply on Twitter 1488058265737043971Retweet on Twitter 14880582657370439713Like on Twitter 14880582657370439714Twitter 1488058265737043971
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