Search

Your search keyword '"Pfeiffer, Max"' showing total 37 results
Start Over Author "Pfeiffer, Max" Publication Year Range Last 10 years
37 results on '"Pfeiffer, Max"'

3. Haptic Feedback for Wearables and Textiles Based on Electrical Muscle Stimulation

Author

Pfeiffer, Max, Rohs, Michael, Barbosa, Simone, Editorial board, Carroll, John M., Editorial board, Cockton, Gilbert, Editorial board, Jacob, Robert J. K., Editorial board, Murray, Dianne, Editorial board, Palanque, Philippe, Editorial board, Pastor, Óscar, Editorial board, Balakrishnan, Ravin, Editorial board, Zhai, Shumin, Editorial board, Bernhaupt, Regina, Editorial board, Cheok, Adrian David, Editorial board, Duh, Henry Been-Lirn, Editorial board, Markopoulos, Panos, Editorial board, Myers, Brad A, Editorial board, Plimmer, Beryl, Editorial board, Pribeanu, Costin, Editorial board, Wesson, Janet, Editorial board, Calvary, Gaëlle, Editorial board, Cao, Xiang, Editorial board, Gonzalez Calleros, Juan, Editorial board, Feiner, Steven, Editorial board, Vetere, Frank, Editorial board, Schnädelbach, Holger, Editorial board, Schneegass, Stefan, editor, and Amft, Oliver, editor

Published
2017
Full Text
View/download PDF

9. STOP! Enhancing Drone Gesture Interaction with Force Feedback

Author

Pfeiffer, Max, Navas Medrano, Samuel, Auda, Jonas, Schneegaß, Stefan, and Sciencesconf.org, CCSD

Subjects
Informatik, Electrical Muscle Stimulation (EMS), Force Feedback, [INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC], Drone, Gesture Interaction
Abstract

Gesture interaction is a common way to control drones. Often it is done by mid-air gestures i.e. the operator does not need to hold any controller. Hence, such interaction is lacking force feedback while the other senses are overloaded by the noise of the drone or occupied by following the behavior of the drone. Therefore, we present an approach in which we use electrical muscle stimulation (EMS) to provide force feedback for controlling drones. We build on existing gesture sets and discuss different feedback options for operating drones.

Published
2019

11. The state of reproducibility in the computational geosciences

Author

Konkol, Markus, Kray, Christian, and Pfeiffer, Max

Subjects
bepress|Physical Sciences and Mathematics, Computer Sciences, Physical Sciences and Mathematics, Earth Sciences, bepress|Physical Sciences and Mathematics|Computer Sciences, EarthArXiv|Physical Sciences and Mathematics|Computer Sciences, bepress|Physical Sciences and Mathematics|Earth Sciences, EarthArXiv|Physical Sciences and Mathematics|Earth Sciences, EarthArXiv|Physical Sciences and Mathematics
Abstract

Figures are essential outputs of computational geoscientific research, e.g. maps and time series showing the results of spatiotemporal analyses. They also play a key role in open reproducible research, where public access is provided to paper, data, and source code to enable reproduction of the reported results. This scientific ideal is rarely practiced as studies, e.g. in biology have shown. In this article, we report on a series of studies to evaluate open reproducible research in the geosciences from the perspectives of authors and readers. First, we asked geoscientists what they understand by open reproducible research and what hinders its realisation. We found there is disagreement amongst authors, and a lack of openness impedes the adoption by authors and readers alike. However, reproducible research also includes the ability to achieve the same results requiring not only accessible but executable source code. Hence, to further examine the reader’s perspective, we searched for open access papers from the geosciences that have code/data attached (in R) and executed the analysis. We encountered several technical issues while executing the code and found differences between the original and reproduced figures. Based on these findings, we propose guidelines for authors to address these.

Published
2018

17. Direkte Frontzahn-Formänderungen bei kieferorthopädischer Therapie -- Restaurative Aspekte.

Author

Federlin, Marianne, Pfeiffer, Max, and Kirschneck, Christian

Abstract

Copyright of Quintessenz Zahnmedizin is the property of Quintessenz Verlags GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2021

19. MuscleIO

Author

Duente, Tim, primary, Schulte, Justin, additional, Pfeiffer, Max, additional, and Rohs, Michael, additional

Published
2018
Full Text
View/download PDF

22. Ubiquitous haptic feedback in human-computer interaction through electrical muscle stimulation

Author

Pfeiffer, Max Florian

Subjects
ubiquitous haptic feedback, electrical muscle stimulation, elektrische Muskelstimulation, Dewey Decimal Classification::000 | Allgemeines, Wissenschaft::000 | Informatik, Wissen, Systeme::004 | Informatik, ubiquitäres haptisches Feedback, Mensch-Computer-Interaktion, ddc:004, Human-computer interaction
Abstract

[no abstract]

Published
2016
Full Text
View/download PDF

23. Running with Technology

Author

Seuter, Matthias, primary, Pfeiffer, Max, additional, Bauer, Gernot, additional, Zentgraf, Karen, additional, and Kray, Christian, additional

Published
2017
Full Text
View/download PDF

24. Zap++

Author

Duente, Tim, primary, Pfeiffer, Max, additional, and Rohs, Michael, additional

Published
2017
Full Text
View/download PDF

25. EMS in HCI

Author

Duente, Tim, primary, Schneegass, Stefan, additional, and Pfeiffer, Max, additional

Published
2017
Full Text
View/download PDF

27. Emotion Actuator

Author

Hassib, Mariam, primary, Pfeiffer, Max, additional, Schneegass, Stefan, additional, Rohs, Michael, additional, and Alt, Florian, additional

Published
2017
Full Text
View/download PDF

29. Computational reproducibility in geoscientific papers: Insights from a series of studies with geoscientists and a reproduction study.

Author

Konkol, Markus, Kray, Christian, and Pfeiffer, Max

Subjects
EARTH scientists, COMPUTATIONAL complexity, REPRODUCIBLE research, EARTH sciences, GEOLOGICAL statistics
Abstract

Reproducibility is a cornerstone of science and thus for geographic research as well. However, studies in other disciplines such as biology have shown that published work is rarely reproducible. To assess the state of reproducibility, specifically computational reproducibility (i.e. rerunning the analysis of a paper using the original code), in geographic research, we asked geoscientists about this topic using three methods: a survey (n = 146), interviews (n = 9), and a focus group (n = 5). We asked participants about their understanding of open reproducible research (ORR), how much it is practiced, and what obstacles hinder ORR. We found that participants had different understandings of ORR and that there are several obstacles for authors and readers (e.g. effort, lack of openness). Then, in order to complement the subjective feedback from the participants, we tried to reproduce the results of papers that use spatial statistics to address problems in the geosciences. We selected 41 open access papers from Copernicus and Journal of Statistical Software and executed the R code. In doing so, we identified several technical issues and specific issues with the reproduced figures depicting the results. Based on these findings, we propose guidelines for authors to overcome the issues around reproducibility in the computational geosciences. [ABSTRACT FROM AUTHOR]

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results