2020 in Numbers
This year, the German labs contribute 138 publications in total to the 2020 ACM CHI Conference on Human Factors in Computing Systems. At the heart, there are 83 Papers, including 1 Best Paper and 14 Honorable Mentions. Further, we bring 34 Late-Breaking Works, 5 Demonstrations, 7 organized Workshops & Symposia, 2 Case Studies, 2 Journal Articles, 1 SIG, 1 SIGCHI Outstanding Dissertation Award and 1 Student Game Competition to CHI this year. All these publications are listed below.
Co-Design Futures for AI and Space: A Workbook Sprint
Henrik Mucha (Fraunhofer IOSB), Ricarda Jacobi (Technische Hochschule Ostwestfalen-Lippe), Kirsten Meyer (Technische Hochschule Ostwestfalen-Lippe), Dennis Mevißen (Fraunhofer IOSB), Sebastian Robert (Fraunhofer IOSB), Winfried Heusler (Schüco International KG), Daniel Arztmann (Schüco International KG)
Abstract | Tags: Case Study | Links:
@inproceedings{MuchaCo,
title = {Co-Design Futures for AI and Space: A Workbook Sprint},
author = {Henrik Mucha (Fraunhofer IOSB) and Ricarda Jacobi (Technische Hochschule Ostwestfalen-Lippe) and Kirsten Meyer (Technische Hochschule Ostwestfalen-Lippe) and Dennis Mevißen (Fraunhofer IOSB) and Sebastian Robert (Fraunhofer IOSB) and Winfried Heusler (Schüco International KG) and Daniel Arztmann (Schüco International KG)},
doi = {10.1145/3334480.3375203},
year = {2020},
date = {2020-04-26},
booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020},
publisher = {ACM},
abstract = {Artificial Intelligence (AI) is continuously moving into our surroundings. In its various forms, it has the potential to disrupt most aspects of human life. Yet, the discourse around AI has long been by experts and for experts. In this paper, we argue for a participatory approach towards designing human-AI interactions. We outline how we used design methodology to organise an interdisciplinary workshop with a diverse group of students – a workbook sprint with 45 participants from four different programs and 13 countries – to develop speculative design futures in five focus areas. We then provide insights into our findings and share our lessons learned regarding our workshop topic – AI and Space – our process, and our research. We learned that involving non-experts in complex technical discourses – such as AI – through the structural rigour of design methodology is a viable approach. We then conclude by laying out how others might use our findings and initiate their own workbook sprint to explore complex technologies in a human-centred way.},
keywords = {Case Study},
pubstate = {published},
tppubtype = {inproceedings}
}
Artificial Intelligence (AI) is continuously moving into our surroundings. In its various forms, it has the potential to disrupt most aspects of human life. Yet, the discourse around AI has long been by experts and for experts. In this paper, we argue for a participatory approach towards designing human-AI interactions. We outline how we used design methodology to organise an interdisciplinary workshop with a diverse group of students – a workbook sprint with 45 participants from four different programs and 13 countries – to develop speculative design futures in five focus areas. We then provide insights into our findings and share our lessons learned regarding our workshop topic – AI and Space – our process, and our research. We learned that involving non-experts in complex technical discourses – such as AI – through the structural rigour of design methodology is a viable approach. We then conclude by laying out how others might use our findings and initiate their own workbook sprint to explore complex technologies in a human-centred way.
Evaluation of Natural User Interfaces in the Creative Industries
Georg Volkmar (University of Bremen), Thomas Muender (University of Bremen), Dirk Wenig (University of Bremen), Rainer Malaka (University of Bremen)
Abstract | Tags: Case Study | Links:
@inproceedings{VolkmarEvaluation,
title = {Evaluation of Natural User Interfaces in the Creative Industries},
author = {Georg Volkmar (University of Bremen) and Thomas Muender (University of Bremen) and Dirk Wenig (University of Bremen) and Rainer Malaka (University of Bremen)},
url = {https://www.youtube.com/watch?v=Mb7-SsxVd6k, Video
https://www.twitter.com/dmlabbremen, Twitter},
doi = {10.1145/3334480.3375201},
year = {2020},
date = {2020-04-26},
booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020},
publisher = {ACM},
abstract = {The case study presented in this paper is concerned with the applicability of natural user interfaces (NUI) in the context of previsualization (previs). For this purpose, we have developed a virtual reality (VR) based tool that includes NUIs as a novel way to perform previs-related tasks. For the application domains of animation, film, and theater, we conducted a quantitative and qualitative assessment of the prototype by realising projects that resembled real life productions in the creative industries. In collaboration with industry experts with different creative backgrounds, we conducted a large-scale evaluation and examined the potential of NUIs in a professional work context. Our results indicate that NUIs can offer a usable alternative to standard 3D design software, requiring only a short familiarization phase instead of extensive training to achieve the intended outcome. },
keywords = {Case Study},
pubstate = {published},
tppubtype = {inproceedings}
}
The case study presented in this paper is concerned with the applicability of natural user interfaces (NUI) in the context of previsualization (previs). For this purpose, we have developed a virtual reality (VR) based tool that includes NUIs as a novel way to perform previs-related tasks. For the application domains of animation, film, and theater, we conducted a quantitative and qualitative assessment of the prototype by realising projects that resembled real life productions in the creative industries. In collaboration with industry experts with different creative backgrounds, we conducted a large-scale evaluation and examined the potential of NUIs in a professional work context. Our results indicate that NUIs can offer a usable alternative to standard 3D design software, requiring only a short familiarization phase instead of extensive training to achieve the intended outcome.