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.
'It’s in my other hand!' - Studying the Interplay of Interaction Techniques and Multi-Tablet Activities
Johannes Zagermann (University of Konstanz), Ulrike Pfeil (University of Konstanz), Philipp von Bauer (University of Konstanz), Daniel Fink (University of Konstanz), Harald Reiterer (University of Konstanz)
In: Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020, ACM, 2020.
Abstract | Tags: Full Paper | Links:
@inproceedings{ZagermannStudying,
title = {'It’s in my other hand!' - Studying the Interplay of Interaction Techniques and Multi-Tablet Activities},
author = {Johannes Zagermann (University of Konstanz) and Ulrike Pfeil (University of Konstanz) and Philipp von Bauer (University of Konstanz) and Daniel Fink (University of Konstanz) and Harald Reiterer (University of Konstanz)},
url = {https://youtu.be/_LZsSPP1FM4, Video
https://www.twitter.com/HCIGroupKN, Twitter},
doi = {10.1145/3313831.3376540},
year = {2020},
date = {2020-04-26},
booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020},
publisher = {ACM},
abstract = {Cross-device interaction with tablets is a popular topic in HCI research. Recent work has shown the benefits of including multiple devices into users’ workflows while various interaction techniques allow transferring content across devices. However, users are only reluctantly using multiple devices in combination. At the same time, research on cross-device interaction struggles to find a frame of reference to compare techniques or systems. In this paper, we try to address these challenges by studying the interplay of interaction techniques, device utilization, and task-specific activities in a user study with 24 participants from different but complementary angles of evaluation using an abstract task, a sensemaking task, and three interaction techniques. We found that different interaction techniques have a lower influence than expected, that work behaviors and device utilization depend on the task at hand, and that participants value specific aspects of cross-device interaction.},
keywords = {Full Paper},
pubstate = {published},
tppubtype = {inproceedings}
}
Next Steps in Human-Computer Integration
Florian 'Floyd' Mueller (Monash University), Pedro Lopes (University of Chicago), Paul Strohmeier (University of Copenhagen / Saarland University), Wendy Ju (Cornell Tech), Caitlyn Seim (Stanford University), Martin Weigel (Honda Research Institute Europe), Suranga Nanayakkara (University of Auckland), Marianna Obrist (University of Essex), Zhuying Li (Monash University), Joseph Delfa (Monash University), Jun Nishida (University of Chicago), Elizabeth M. Gerber (Northwestern University), Dag Svanaes (NTNU / IT University of Copenhagen), Jonathan Grudin (Microsoft), Stefan Greuter (Deakin University), Kai Kunze (Keio University), Thomas Erickson (Independent researcher), Steven Greenspan (CA Technologies), Masahiko Inami (University of Tokyo), Joe Marshall (University of Nottingham), Harald Reiterer (University of Konstanz), Katrin Wolf (Beuth University of Applied Sciences Berlin), Jochen Meyer (OFFIS), Thecla Schiphorst (Simon Fraser University), Dakuo Wang (IBM Research), Pattie Maes (MIT Media Lab)
In: Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020, ACM, 2020.
Abstract | Tags: Full Paper | Links:
@inproceedings{MuellerIntegration,
title = {Next Steps in Human-Computer Integration},
author = {Florian 'Floyd' Mueller (Monash University) and Pedro Lopes (University of Chicago) and Paul Strohmeier (University of Copenhagen / Saarland University) and Wendy Ju (Cornell Tech) and Caitlyn Seim (Stanford University) and Martin Weigel (Honda Research Institute Europe) and Suranga Nanayakkara (University of Auckland) and Marianna Obrist (University of Essex) and Zhuying Li (Monash University) and Joseph Delfa (Monash University) and Jun Nishida (University of Chicago) and Elizabeth M. Gerber (Northwestern University) and Dag Svanaes (NTNU / IT University of Copenhagen) and Jonathan Grudin (Microsoft) and Stefan Greuter (Deakin University) and Kai Kunze (Keio University) and Thomas Erickson (Independent researcher) and Steven Greenspan (CA Technologies) and Masahiko Inami (University of Tokyo) and Joe Marshall (University of Nottingham) and Harald Reiterer (University of Konstanz) and Katrin Wolf (Beuth University of Applied Sciences Berlin) and Jochen Meyer (OFFIS) and Thecla Schiphorst (Simon Fraser University) and Dakuo Wang (IBM Research) and Pattie Maes (MIT Media Lab)},
doi = {10.1145/3313831.3376242},
year = {2020},
date = {2020-04-26},
booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020},
publisher = {ACM},
abstract = {Human-Computer Integration (HInt) is an emerging paradigm in which computational and human systems are closely interwoven. Integrating computers with the human body is not new. However, we believe that with rapid technological advancements, increasing real-world deployments, and growing ethical and societal implications, it is critical to identify an agenda for future research. We present a set of challenges for HInt research, formulated over the course of a five-day workshop consisting of 29 experts who have designed, deployed, and studied HInt systems. This agenda aims to guide researchers in a structured way towards a more coordinated and conscientious future of human-computer integration.},
keywords = {Full Paper},
pubstate = {published},
tppubtype = {inproceedings}
}
NurseCare: Design and ‘In-The-Wild’ Evaluation of a Mobile System to Promote the Ergonomic Transfer of Patients
Maximilian Dürr (University of Konstanz), Carla Gröschel (University of Konstanz), Ulrike Pfeil (University of Konstanz), Harald Reiterer (University of Konstanz)
In: Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020, ACM, 2020.
Abstract | Tags: Full Paper, Honorable Mention | Links:
@inproceedings{DuerrNurseCare,
title = {NurseCare: Design and ‘In-The-Wild’ Evaluation of a Mobile System to Promote the Ergonomic Transfer of Patients},
author = {Maximilian Dürr (University of Konstanz) and Carla Gröschel (University of Konstanz) and Ulrike Pfeil (University of Konstanz) and Harald Reiterer (University of Konstanz)},
url = {https://youtu.be/BJaKsSOjW4k, Video
https://www.twitter.com/HCIGroupKN, Twitter},
doi = {10.1145/3313831.3376851},
year = {2020},
date = {2020-04-26},
urldate = {2020-04-07},
booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020},
publisher = {ACM},
institution = {University of Konstanz},
abstract = {Nurses are frequently required to transfer patients as part of their daily duties. However, the manual transfer of patients is a major risk factor for injuries to the back. Although the Kinaesthetics Care Conception can help to address this issue, existing support for the integration of the concept into nursing-care practice is low. We present NurseCare, a mobile system that aims to promote the practical application of ergonomic patient transfers based on the Kinaesthetics Care Conception. NurseCare consists of a wearable and a smartphone app. Key features of NurseCare include mobile accessible instructions for ergonomic patient transfers, in-situ feedback for the risky bending of the back, and long-term feedback. We evaluated NurseCare in a nine participant ‘in-the-wild’ evaluation. Results indicate that NurseCare can facilitate ergonomic work while providing a high user experience adequate to the nurses’ work domain, and reveal how NurseCare can be incorporated in given practices.},
type = {Full Paper},
keywords = {Full Paper, Honorable Mention},
pubstate = {published},
tppubtype = {inproceedings}
}
Simo: Interactions with Distant Displays by Smartphones with Simultaneous Face and World Tracking
Teo Babic (BMW Group), Florian Perteneder (University of Applied Sciences Upper Austria), Harald Reiterer (University of Konstanz), Michael Haller (University of Applied Sciences Upper Austria)
In: Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020, ACM, 2020.
Abstract | Tags: Late Breaking Work | Links:
@inproceedings{BabicSimo,
title = {Simo: Interactions with Distant Displays by Smartphones with Simultaneous Face and World Tracking},
author = {Teo Babic (BMW Group) and Florian Perteneder (University of Applied Sciences Upper Austria) and Harald Reiterer (University of Konstanz) and Michael Haller (University of Applied Sciences Upper Austria)},
url = {https://www.twitter.com/HCIGroupKN, Twitter},
doi = {10.1145/3334480.3382962},
year = {2020},
date = {2020-04-26},
booktitle = {Proceedings of the ACM Conference on Human Factors in Computing Systems. CHI 2020},
publisher = {ACM},
abstract = {The interaction with distant displays often demands complex, multi-modal inputs which need to be achieved with a very simple hardware solution so that users can perform rich inputs wherever they encounter a distant display. We present Simo, a novel approach, that transforms a regular smartphone into a highly-expressive user motion tracking device and controller for distant displays. Both the front and back cameras of the smartphone are used simultaneously to track the user’s hand as well as the head, and body movements in real-world space and scale. In this work, we first define the possibilities for simultaneous face- and world-tracking using current off-the-shelf smartphones. Next, we present the implementation of a smartphone app enabling hand, head, and body motion tracking. Finally, we present a technical analysis outlining the possible tracking range.},
keywords = {Late Breaking Work},
pubstate = {published},
tppubtype = {inproceedings}
}