Sara-Jane Bittner
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Sara-Jane Bittner has a total of 11 co-authors. Here are the top co-authors by number of shared publications:
- Daniel Sonntag
German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
5 shared publications - Michael Barz
Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
5 shared publications - Abdulrahman Mohamed Selim
Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
3 shared publications - Hans-Jürgen Profitlich
Interactive Machine Learning, German Research Center for Artificial Intelligence (DFKI), Saarbrücken, Germany
1 shared publication - Keno Nanninga
University of Oldenburg, Oldenburg, Niedersachsen, Germany
1 shared publication - Konstantin Kuznetsov
German Research Center for Artificial Intelligence (DFKI), Germany
1 shared publication
Latest Publications
- Open Access
- 31 May 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-5
Train the Spire: An ML-Driven Single Player GWAP for Image Annotation
- 31 May 2026
- Published by Association for Computing Machinery (ACM)
- p. 1-5
Open AccessTrain the Spire: An ML-Driven Single Player GWAP for Image Annotation
- 9 September 2025
- Published by Springer Nature
- p. 576-601
Eliciting Multimodal Approaches for Machine Learning–Assisted Photobook Creation
- 9 September 2025
- Published by Springer Nature
- p. 576-601
Eliciting Multimodal Approaches for Machine Learning–Assisted Photobook Creation
- Open Access
- 24 March 2025
- Published by Association for Computing Machinery (ACM)
- p. 141-145
FunduScope: A Human-centered Tool for ML-assisted e-Learning in Ophthalmology
- 24 March 2025
- Published by Association for Computing Machinery (ACM)
- p. 141-145
Open AccessFunduScope: A Human-centered Tool for ML-assisted e-Learning in Ophthalmology
- Open Access
- 24 March 2025
- Published by Association for Computing Machinery (ACM)
- p. 146-151
Interactive Multimodal Photobook Co-Creation in Virtual Reality
- 24 March 2025
- Published by Association for Computing Machinery (ACM)
- p. 146-151
Open AccessInteractive Multimodal Photobook Co-Creation in Virtual Reality
- Open Access
- 27 June 2024
- Published by Association for Computing Machinery (ACM)
- p. 132-135
FormTwin: A Framework for Pen-based Data Collection
Paper and digital forms are widely used to collect user information across multiple domains, such as research, healthcare, and education. However, both types still lack application and follow-up interpretation: Paper forms need to be digitised meticulously to be analyzed or shared with team members efficiently; in comparison, digital forms cannot convey handwriting and might require technical literacy. We present the FormTwin data collection tool—an alternative to online forms, which allows for the efficient reuse of existent paper forms while providing the convenience of digital forms. FormTwin can digitise a wide range of forms with the integrated form annotation application. Then, it combines two input channels: A stylus on a tablet and a digital smart pen on plain paper, which duplicates the input on a mobile application in real-time. We aim to improve the efficiency and accessibility of data collection for practitioners with a modular system that combines both the digital accessibility of digital forms with keeping the needed technical literacy low and retaining the quality of hand-drawn sketches.
- 27 June 2024
- Published by Association for Computing Machinery (ACM)
- p. 132-135
Open AccessFormTwin: A Framework for Pen-based Data Collection
Paper and digital forms are widely used to collect user information across multiple domains, such as research, healthcare, and education. However, both types still lack application and follow-up interpretation: Paper forms need to be digitised meticulously to be analyzed or shared with team members efficiently; in comparison, digital forms cannot convey handwriting and might require technical literacy. We present the FormTwin data collection tool—an alternative to online forms, which allows for the efficient reuse of existent paper forms while providing the convenience of digital forms. FormTwin can digitise a wide range of forms with the integrated form annotation application. Then, it combines two input channels: A stylus on a tablet and a digital smart pen on plain paper, which duplicates the input on a mobile application in real-time. We aim to improve the efficiency and accessibility of data collection for practitioners with a modular system that combines both the digital accessibility of digital forms with keeping the needed technical literacy low and retaining the quality of hand-drawn sketches.