Find a list of our publications at CHI 2022 below. There is also a schedule highlighting our talks. Your own publication is missing? Send us an email: contact@germanhci.de
Investigating Usability and User Experience of Individually Verifiable Internet Voting Schemes
Karola Marky (Technical University of Darmstadt, University of Glasgow, Lilybank Gardens, Glasgow, United Kingdom), Marie Laure Zollinger (University of Luxembourg, Esch-sur-Alzette, Luxembourg), Peter B. Roenne (University of Luxembourg, Esch-sur-Alzette, Luxembourg), Peter Y. A. Ryan (University of Luxembourg, Esch-sur-Alzette, Luxembourg), Tim Grube (Technical University of Darmstadt, Darmstadt, Germany), Kai Kunze (Keio University, Kohoku-ku, Yokohama, Japan)
Abstract | Tags: Journal | Links:
@inproceedings{2022MarkyVoting,
title = {Investigating Usability and User Experience of Individually Verifiable Internet Voting Schemes},
author = {Karola Marky (Technical University of Darmstadt, University of Glasgow, Lilybank Gardens, Glasgow, United Kingdom) and Marie Laure Zollinger (University of Luxembourg, Esch-sur-Alzette, Luxembourg) and Peter B. Roenne (University of Luxembourg, Esch-sur-Alzette, Luxembourg) and Peter Y. A. Ryan (University of Luxembourg, Esch-sur-Alzette, Luxembourg) and Tim Grube (Technical University of Darmstadt, Darmstadt, Germany) and Kai Kunze (Keio University, Kohoku-ku, Yokohama, Japan)},
url = {https://teamdarmstadt.de/, Website Telecooperation Lab Darmstadt},
doi = {10.1145/3459604},
year = {2022},
date = {2022-04-30},
abstract = {Internet voting can afford more inclusive and inexpensive elections. The flip side is that the integrity of the election can be compromised by adversarial attacks and malfunctioning voting infrastructure. Individual verifiability aims to protect against such risks by letting voters verify that their votes are correctly registered in the electronic ballot box. Therefore, voters need to carry out additional tasks making human factors crucial for security. In this article, we establish a categorization of individually verifiable Internet voting schemes based on voter interactions. For each category in our proposed categorization, we evaluate a voting scheme in a user study with a total of 100 participants. In our study, we assessed usability, user experience, trust, and further qualitative data to gain deeper insights into voting schemes. Based on our results, we conclude with recommendations for developers and policymakers to inform the choices and design of individually verifiable Internet voting schemes.},
keywords = {Journal},
pubstate = {published},
tppubtype = {inproceedings}
}
Internet voting can afford more inclusive and inexpensive elections. The flip side is that the integrity of the election can be compromised by adversarial attacks and malfunctioning voting infrastructure. Individual verifiability aims to protect against such risks by letting voters verify that their votes are correctly registered in the electronic ballot box. Therefore, voters need to carry out additional tasks making human factors crucial for security. In this article, we establish a categorization of individually verifiable Internet voting schemes based on voter interactions. For each category in our proposed categorization, we evaluate a voting scheme in a user study with a total of 100 participants. In our study, we assessed usability, user experience, trust, and further qualitative data to gain deeper insights into voting schemes. Based on our results, we conclude with recommendations for developers and policymakers to inform the choices and design of individually verifiable Internet voting schemes.
Remote VR Studies: A Framework for Running Virtual Reality Studies Remotely Via Participant-Owned HMDs
R. Rivu (Bundeswehr University Munich), V. Mäkelä (University of Waterloo, Bundeswehr University Munich), S. Prange (Bundeswehr University Munich), S. Rodriguez (Bundeswehr University Munich), R. Piening(LMU Munich), Y. Zhou (LMU Munich), K. Köhle (LMU Munich), K. Pfeuffer (Bundeswehr University Munich), Y. Abdelrahman(Bundeswehr University Munich), M. Hoppe(LMU Munich), A. Schmidt (LMU Munich), F. Alt (Bundeswehr University Munich)
Abstract | Tags: Journal | Links:
@inproceedings{2022RivuRemoteVRStudies,
title = {Remote VR Studies: A Framework for Running Virtual Reality Studies Remotely Via Participant-Owned HMDs},
author = {R. Rivu (Bundeswehr University Munich) and V. Mäkelä (University of Waterloo, Bundeswehr University Munich) and S. Prange (Bundeswehr University Munich) and S. Rodriguez (Bundeswehr University Munich) and R. Piening(LMU Munich) and Y. Zhou (LMU Munich) and K. Köhle (LMU Munich) and K. Pfeuffer (Bundeswehr University Munich) and Y. Abdelrahman(Bundeswehr University Munich) and M. Hoppe(LMU Munich) and A. Schmidt (LMU Munich) and F. Alt (Bundeswehr University Munich)},
url = {https://www.unibw.de/usable-security-and-privacy-en, Website Lab},
doi = {10.1145/3472617},
year = {2022},
date = {2022-04-30},
urldate = {2022-04-30},
abstract = {We investigate opportunities and challenges of running virtual reality (VR) studies remotely. Today, many consumers own head-mounted displays (HMDs), allowing them to participate in scientific studies from their homes using their own equipment. Researchers can benefit from this approach by being able to recruit study populations normally out of their reach, and to conduct research at times when it is difficult to get people into the lab (cf. the COVID pandemic). In an initial online survey (N=227), we assessed HMD owners' demographics, their VR setups and their attitudes towards remote participation. We then identified different approaches to running remote studies and conducted two case studies for an in-depth understanding. We synthesize our findings into a framework for remote VR studies, discuss strengths and weaknesses of the different approaches, and derive best practices. Our work is valuable for HCI researchers conducting VR studies outside labs.},
keywords = {Journal},
pubstate = {published},
tppubtype = {inproceedings}
}
We investigate opportunities and challenges of running virtual reality (VR) studies remotely. Today, many consumers own head-mounted displays (HMDs), allowing them to participate in scientific studies from their homes using their own equipment. Researchers can benefit from this approach by being able to recruit study populations normally out of their reach, and to conduct research at times when it is difficult to get people into the lab (cf. the COVID pandemic). In an initial online survey (N=227), we assessed HMD owners' demographics, their VR setups and their attitudes towards remote participation. We then identified different approaches to running remote studies and conducted two case studies for an in-depth understanding. We synthesize our findings into a framework for remote VR studies, discuss strengths and weaknesses of the different approaches, and derive best practices. Our work is valuable for HCI researchers conducting VR studies outside labs.
Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse
Felix Putze (University of Bremen), Susanne Putze (University of Bremen), Merle Sagehorn (University of Bremen), Christopher Micek (Worcester Polytechnic Institute), Erin Solovey (Worcester Polytechnic Institute)
Abstract | Tags: Journal | Links:
@inproceedings{2022PutzeBrainSignals,
title = {Understanding HCI Practices and Challenges of Experiment Reporting with Brain Signals: Towards Reproducibility and Reuse},
author = {Felix Putze (University of Bremen) and Susanne Putze (University of Bremen) and Merle Sagehorn (University of Bremen) and Christopher Micek (Worcester Polytechnic Institute) and Erin Solovey (Worcester Polytechnic Institute)},
url = {https://www.uni-bremen.de/csl, Website Lab
https://youtu.be/xH5pgnMKrZ8, YouTube - Video Figure},
doi = {10.1145/3490554},
year = {2022},
date = {2022-04-30},
abstract = {In HCI, there has been a push towards open science, but to date, this has not happened consistently for HCI research utilizing brain signals due to unclear guidelines to support reuse and reproduction. To understand existing practices in the field, this paper examines 110 publications, exploring domains, applications, modalities, mental states and processes, and more. This analysis reveals variance in how authors report experiments, which creates challenges to understand, reproduce, and build on that research. It then describes an overarching experiment model that provides a formal structure for reporting HCI research with brain signals, including definitions, terminology, categories, and examples for each aspect. Multiple distinct reporting styles were identified through factor analysis and tied to different types of research. The paper concludes with recommendations and discusses future challenges. This creates actionable items from the abstract model and empirical observations to make HCI research with brain signals more reproducible and reusable.},
keywords = {Journal},
pubstate = {published},
tppubtype = {inproceedings}
}
In HCI, there has been a push towards open science, but to date, this has not happened consistently for HCI research utilizing brain signals due to unclear guidelines to support reuse and reproduction. To understand existing practices in the field, this paper examines 110 publications, exploring domains, applications, modalities, mental states and processes, and more. This analysis reveals variance in how authors report experiments, which creates challenges to understand, reproduce, and build on that research. It then describes an overarching experiment model that provides a formal structure for reporting HCI research with brain signals, including definitions, terminology, categories, and examples for each aspect. Multiple distinct reporting styles were identified through factor analysis and tied to different types of research. The paper concludes with recommendations and discusses future challenges. This creates actionable items from the abstract model and empirical observations to make HCI research with brain signals more reproducible and reusable.
Understanding, Addressing, and Analysing Digital Eye Strain in Virtual Reality Head-Mounted Displays
Teresa Hirzle (Ulm University), Fabian Fischbach (Ulm University), Julian Karlbauer (Ulm University), Pascal Jansen (Ulm University), Jan Gugenheimer (Télécom Paris), Enrico Rukzio (Ulm University), Andreas Bulling (University of Stuttgart)
Abstract | Tags: Journal | Links:
@inproceedings{2022HirzleEyeStrain,
title = {Understanding, Addressing, and Analysing Digital Eye Strain in Virtual Reality Head-Mounted Displays},
author = {Teresa Hirzle (Ulm University) and Fabian Fischbach (Ulm University) and Julian Karlbauer (Ulm University) and Pascal Jansen (Ulm University) and Jan Gugenheimer (Télécom Paris) and Enrico Rukzio (Ulm University) and Andreas Bulling (University of Stuttgart)},
url = {https://www.uni-ulm.de/en/in/mi/hci/, Website Lab
https://twitter.com/mi_uulm, Twitter Lab
https://www.youtube.com/watch?v=ns2HwQ2p_hM, YouTube - Video Figure},
doi = {10.1145/3492802},
year = {2022},
date = {2022-04-30},
urldate = {2022-04-30},
abstract = {Digital eye strain (DES), caused by prolonged exposure to digital screens, stresses the visual system and negatively affects users’ well-being and productivity. While DES is well-studied in computer displays, its impact on users of virtual reality (VR) head-mounted displays (HMDs) is largely unexplored—despite that some of their key properties (e.g., the vergence-accommodation conflict) make VR-HMDs particularly prone. This work provides the first comprehensive investigation into DES in VR HMDs. We present results from a survey with 68 experienced users to understand DES symptoms in VR-HMDs. To help address DES, we investigate eye exercises resulting from survey answers and blue light filtering in three user studies (N = 71). Results demonstrate that eye exercises, but not blue light filtering, can effectively reduce DES. We conclude with an extensive analysis of the user studies and condense our findings in 10 key challenges that guide future work in this emerging research area.},
keywords = {Journal},
pubstate = {published},
tppubtype = {inproceedings}
}
Digital eye strain (DES), caused by prolonged exposure to digital screens, stresses the visual system and negatively affects users’ well-being and productivity. While DES is well-studied in computer displays, its impact on users of virtual reality (VR) head-mounted displays (HMDs) is largely unexplored—despite that some of their key properties (e.g., the vergence-accommodation conflict) make VR-HMDs particularly prone. This work provides the first comprehensive investigation into DES in VR HMDs. We present results from a survey with 68 experienced users to understand DES symptoms in VR-HMDs. To help address DES, we investigate eye exercises resulting from survey answers and blue light filtering in three user studies (N = 71). Results demonstrate that eye exercises, but not blue light filtering, can effectively reduce DES. We conclude with an extensive analysis of the user studies and condense our findings in 10 key challenges that guide future work in this emerging research area.