skip to main content
10.1145/3340764.3344881acmotherconferencesArticle/Chapter ViewAbstractPublication PagesmundcConference Proceedingsconference-collections
short-paper

Evaluation of Tool-based Gesture Extractions

Published: 08 September 2019 Publication History

Abstract

There are different approaches in the literature for proposals for gestures are collected from potential users and then combined into a gesture set by considering different criteria (e.g. popularity of gestures). The effort for such surveys is high and thus the samples often accordingly low. In this paper we describe the process of gesture extraction, which is supported by our online service GestureNote, as well as the results of its first evaluation with the help of inexperienced users (i.e. beginners in working on the design of gestures and the use of GestureNote). A total of 30 students took part in the study. All test persons successfully carried out the desired a guessability study, which shows that the primary concepts are appropriate. The results suggest adjustments to the classification of gestures, e.g. by adding a weighting factor to the formula for the calculation of the agreement rate.

References

[1]
Abdullah X Ali, Meredith Ringel Morris, and Jacob O Wobbrock. 2018. Crowdsourcing Similarity Judgments for Agreement Analysis in End-User Elicitation Studies. In The 31st Annual ACM Symposium on User Interface Software and Technology. ACM, 177--188.
[2]
Mirko Fetter and Tom Gross. 2014. Empfehlungen für die Gestaltung von Erratbarkeitsstudien zur Ermittlung von benutzerdefinierten Gesten. Mensch & Computer 2014-Tagungsband (2014), 245--254.
[3]
Jorik Jonker. 2008. Wizard of Oz for gesture prototyping. (2008).
[4]
Daniel Künkel, Birgit Bomsdorf, Rainer Röhrig, Janko Ahlbrandt, and M Weigand. 2015. Participative Development of Touchless User Interfaces: Elicitation and Evaluation of Contactless Hand Gestures for Anesthesia. In International Conferences Interfaces and Human Computer Interaction. 43--50.
[5]
Michael Nielsen, Moritz Störring, Thomas B Moeslund, and Erik Granum. 2003. A procedure for developing intuitive and ergonomic gesture interfaces for HCI. In International gesture workshop. Springer, 409--420.
[6]
Mohammad Obaid, Felix Kistler, Gabrielė Kasparavičiūtė, Asim Evren Yantaç, and Morten Fjeld. 2016. How would you gesture navigate a drone?: a user-centered approach to control a drone. In Proceedings of the 20th International Academic Mindtrek Conference. ACM, 113--121.
[7]
Anna Pereira, Juan P Wachs, Kunwoo Park, and David Rempel. 2015. A user-developed 3-D hand gesture set for human--computer interaction. Human factors 57, 4 (2015), 607--621.
[8]
Jaime Ruiz, Yang Li, and Edward Lank. 2011. User-defined motion gestures for mobile interaction. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 197--206.
[9]
Dominik Rupprecht, Daniel Künkel, Rainer Blum, and Birgit Bomsdorf. 2018. Definition of Gesture Interactions based on Temporal Relations. In VISIGRAPP (2: HUCAPP). 116--123.
[10]
Radu-Daniel Vatavu and Jacob O Wobbrock. 2015. Formalizing agreement analysis for elicitation studies: new measures, significance test, and toolkit. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 1325--1334.
[11]
Radu-Daniel Vatavu and Jacob O Wobbrock. 2016. Between-subjects elicitation studies: Formalization and tool support. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. ACM, 3390--3402.
[12]
Jacob O Wobbrock, Htet Htet Aung, Brandon Rothrock, and Brad A Myers. 2005. Maximizing the guessability of symbolic input. In CHI'05 extended abstracts on Human Factors in Computing Systems. ACM, 1869--1872.
[13]
Jacob O Wobbrock, Meredith Ringel Morris, and Andrew D Wilson. 2009. User-defined gestures for surface computing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1083--1092.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences
MuC '19: Proceedings of Mensch und Computer 2019
September 2019
863 pages
ISBN:9781450371988
DOI:10.1145/3340764
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2019

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. Evaluierung
  2. Gesten-Extraktion
  3. Nutzerzentriertes Gesten-Design
  4. Werkzeuggestützte Erratbarkeitsstudien

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Funding Sources

  • This research was financially supported by the German Federal Ministry of Education and Research within the program ?Forschung an Fachhochschulen ? IngenieurNachwuchs?

Conference

MuC'19
MuC'19: Mensch-und-Computer
September 8 - 11, 2019
Hamburg, Germany

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 41
    Total Downloads
  • Downloads (Last 12 months)2
  • Downloads (Last 6 weeks)0
Reflects downloads up to 20 Feb 2025

Other Metrics

Citations

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Figures

Tables

Media

Share

Share

Share this Publication link

Share on social media