More Web Proxy on the site http://driver.im/

short-paper

Turn it, Pour it, Twist it: A Model for Designing Mobile Device-Based Interactions

Authors:

Thomas SchlegelAuthors Info & Claims

CHIuXiD'19: Proceedings of the 5th International ACM In-Cooperation HCI and UX Conference

Pages 20 - 23

https://doi.org/10.1145/3328243.3328246

Published: 01 April 2019 Publication History

Abstract

Interaction designers for mobile phones mainly focus on displays but have only little knowledge about sensor characteristics. Beside multitouch input, mobile devices provide versatile possibilities to interact in a physical, device-based manner due to their built-in hardware. Even though such interactions may provide many advantages in everyday life, they have limited visibility in interaction design. Interaction designers are seldom experts in gesture and pattern recognition and even prototypical implementations of simple mobile-based interactions need advanced technical knowledge. Hence, the potential for designing mobile device-based interactions is often not fully exploited. To contribute to a common knowledge of mobile device-based interactions, this paper proposes Mobile Spaces. This model aims at supporting designers of mobile applications to broaden their view on interaction possibilities with one or more collocated devices which go beyond the screen. We discuss the applicability of Mobile Spaces by means of several examples from research.

References

[1]

Daniel Ashbrook and Thad Starner. 2010. MAGIC: A Motion Gesture Design Tool. In Proc. of the SIGCHI Conf. on Human Factors in Comp. Systems (CHI' 10). 2159--2168.

Digital Library

[2]

Ming K. Chong, Rene Mayrhofer, and Hans Gellersen. 2014. A Survey of User Interaction for Spontaneous Device Association. Journal on ACM Computing Surveys 47, 1, 8--40.

Digital Library

[3]

Raimund Dachselt and Robert Buchholz. 2009. Natural Throw and Tilt Interaction Between Mobile Phones and Distant Displays. In CHI '09 Extended Abstracts on Human Factors in Computing Systems. 3253--3258.

Digital Library

[4]

Nadia Elouali, Xavier Le Pallec, José Rouillard, and Jean-Claude Tarby. 2014. MIMIC: Leveraging Sensor-Based Interactions in Multimodal Mobile Applications. In CHI EA '14 Conf. on Human Factors in Comp. Sys. 2323--2328.

Digital Library

[5]

Germaine Satia. 2014. Mobile Onboarding: A Beginner's Guide. https://www.smashingmagazine.com/2014/08/mobile-onboarding-beginners-guide/ (01/07/19)

[6]

Eva Hornecker and Jacob Buur. 2006. Getting a Grip on Tangible Interaction: A Framework on Physical Space and Social Interaction. In Proc. of the SIGCHI Conf. on Human Factors in Comp. Systems (CHI '06). 437--446.

Digital Library

[7]

Ju-Whan Kim, Han-Jong Kim, and Tek-Jin Nam. 2016. M.Gesture: An Acceleration-Based Gesture Authoring System on Multiple Handheld and Wearable Devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '16). 2307--2318.

Digital Library

[8]

Mandy Korzetz, Romina Kühn, Peter Heisig, and Thomas Schlegel. 2016. Natural Collocated Interactions for Merging Results with Mobile Devices. In Proc. of the 18th Intern. Conf. on HCI with Mobile Devices & Services Adjunct (MobileHCI '16). 746--752.

Digital Library

[9]

Romina Kühn, Mandy Korzetz, Lukas Büschel, Christina Korger, Philip Manja, and Thomas Schlegel. 2016. Natural Voting Interactions for Collaborative Work with Mobile Devices. In CHI EA '16 Conference on Human Factors in Computing Systems. 2570--2575.

Digital Library

[10]

Romina Kühn, Mandy Korzetz, Lukas Büschel, Franz-Wilhelm Schumann, and Thomas Schlegel. 2016. Device-Based Interactions for Anonymous Voting and Rating with Mobile Devices in Collaborative Scenarios. In Proc. of the 15th International Conf. on Mobile and Ubiquitous Multimedia (MUM '16). 315--317.

Digital Library

[11]

Romina Kühn and Thomas Schlegel. 2018. Mixed-Focus Collaboration Activities for Designing Mobile Interactions. In Proc. of the 20th Intern. Conf. on HCI with Mobile Devices & Services Adjunct (MobileHCI '18). 71--78.

Digital Library

[12]

Sang-won Leigh, Philipp Schoessler, Felix Heibeck, Pattie Maes, and Hiroshi Ishii. 2015. THAW: Tangible Interaction with See-Through Augmentation for Smartphones on Computer Screens. In Proc. of the Intern. Conf. on Tangible, Embedded, & Embodied Interaction. 89--96.

Digital Library

[13]

Andrés Lucero, Jussi Holopainen, and Tero Jokela. 2011. Pass-Them-Around: Collaborative Use of Mobile Phones for Photo Sharing. In Proc. of the SIGCHI Conf. on Human Factors in Comp. Systems (CHI '11). 1787--1796.

Digital Library

[14]

Andrés Lucero, Jaakko Keränen, and Tero Jokela. 2010. Social and Spatial Interactions: Shared Co-Located Mobile Phone Use. In Extended Abstracts on Human Factors in Computing Systems (EA CHI '10). 3223--3228.

Digital Library

[15]

Andrés Lucero, Jaakko Keränen, and Hannu Korhonen. 2010. Collaborative Use of Mobile Phones for Brainstorming. In Proc. of the 12th International Conference on HCI with Mobile Devices & Services. 337--340.

Digital Library

[16]

Andrés Lucero, Martin Porcheron, and Joel E. Fischer. 2016. Collaborative Use of Mobile Devices to Curate Sources of Inspiration. In Proc. of the Intern. Conf. on HCI with Mobile Devices & Services Adjunct. 611--616.

Digital Library

[17]

Sus Lundgren, Joel E. Fischer, Stuart Reeves, and Olof Torgersson. 2015. Designing Mobile Experiences for Collocated Interaction. In Proceedings of the 18th Conference on CSCW & Social Computing. 496--507.

Digital Library

[18]

Julie Rico and Stephen Brewster. 2010. Usable Gestures for Mobile Interfaces: Evaluating Social Acceptability. In Proceedings of the Conference on Human Factors in Computing Systems (CHI' 10). 887--896.

Digital Library

[19]

Adriano Scoditti, Renaud Blanch, and Joëlle Coutaz. 2011. A Novel Taxonomy for Gestural Interaction Techniques Based on Accelerometers. In Proc. of the 16th Intern. Conf. on Intelligent User Interfaces (IUI '11). 63--72.

Digital Library

Cited By

Inayatulloh Arafah SMurtani AKurniawan RRitonga SNazly PRizki S(2023)The Effect of Using Mobile Applications, Using Social Media, Using E-Commerce, and Having IT Knowledge on The Performance of SMEs2023 International Conference on Information Management and Technology (ICIMTech)10.1109/ICIMTech59029.2023.10277907(621-626)Online publication date: 24-Aug-2023
https://doi.org/10.1109/ICIMTech59029.2023.10277907
Kühn RKegel KKallenbach FKorzetz MAßmann USchlegel T(2023)Mobile Device-Based Interactions for Collocated Direct Voting in Collaborative ScenariosLearning and Collaboration Technologies10.1007/978-3-031-34550-0_37(520-537)Online publication date: 9-Jun-2023
https://doi.org/10.1007/978-3-031-34550-0_37
Korzetz MKühn RAßmann USchlegel T(2020)A Design Kit for Mobile Device-Based Interaction TechniquesHCI International 2020 - Posters10.1007/978-3-030-50726-8_7(52-59)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-50726-8_7
Show More Cited By

Index Terms

Turn it, Pour it, Twist it: A Model for Designing Mobile Device-Based Interactions
1. Human-centered computing
  1. Human computer interaction (HCI)

Recommendations

MilkyWay: A Toolbox for Prototyping Collaborative Mobile-Based Interaction Techniques
Universal Access in Human-Computer Interaction. Multimodality and Assistive Environments
Abstract
Beside traditional multitouch input, mobile devices provide various possibilities to interact in a physical, device-based manner due to their built-in hardware. Applying such interaction techniques allows for sharing content easily, e.g. by ...
Introducing Mobile Device-Based Interactions to Users: An Investigation of Onboarding Tutorials
Human-Computer Interaction. Multimodal and Natural Interaction
Abstract
Various built-in sensors enable interacting with mobile devices beyond the screen. So-called mobile device-based interaction techniques are characterized by movements and positions in real space, e.g. twisting the device to switch between front ...
Mobile Device-Based Interactions for Collocated Direct Voting in Collaborative Scenarios
Learning and Collaboration Technologies
Abstract
In collocated collaboration, group members frequently compare, discuss, and decide on ideas or partial solutions to reach an overall goal. To facilitate comparison, documentation as well as votes of the outcomes of such discussions, we apply ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

CHIuXiD'19: Proceedings of the 5th International ACM In-Cooperation HCI and UX Conference

April 2019

205 pages

ISBN:9781450361873

DOI:10.1145/3328243

Copyright © 2019 ACM.

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: 01 April 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Short-paper
Research
Refereed limited

Conference

CHIuXiD'19

CHIuXiD'19: The 5th International HCI and UX Conference

April 1 - 9, 2019

Surabaya, Bali, Jakarta, Indonesia

Acceptance Rates

Overall Acceptance Rate 22 of 50 submissions, 44%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

9
Total Citations
View Citations
124
Total Downloads

Downloads (Last 12 months)7
Downloads (Last 6 weeks)0

Reflects downloads up to 14 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Inayatulloh Arafah SMurtani AKurniawan RRitonga SNazly PRizki S(2023)The Effect of Using Mobile Applications, Using Social Media, Using E-Commerce, and Having IT Knowledge on The Performance of SMEs2023 International Conference on Information Management and Technology (ICIMTech)10.1109/ICIMTech59029.2023.10277907(621-626)Online publication date: 24-Aug-2023
https://doi.org/10.1109/ICIMTech59029.2023.10277907
Kühn RKegel KKallenbach FKorzetz MAßmann USchlegel T(2023)Mobile Device-Based Interactions for Collocated Direct Voting in Collaborative ScenariosLearning and Collaboration Technologies10.1007/978-3-031-34550-0_37(520-537)Online publication date: 9-Jun-2023
https://doi.org/10.1007/978-3-031-34550-0_37
Korzetz MKühn RAßmann USchlegel T(2020)A Design Kit for Mobile Device-Based Interaction TechniquesHCI International 2020 - Posters10.1007/978-3-030-50726-8_7(52-59)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-50726-8_7
Kühn RKorzetz MGrzelak DAßmann USchlegel T(2020)Towards Interaction Design for Mobile Devices in Collocated Mixed-Focus CollaborationHCI International 2020 - Posters10.1007/978-3-030-50726-8_5(35-43)Online publication date: 10-Jul-2020
https://doi.org/10.1007/978-3-030-50726-8_5
Kühn RKorzetz MKallenbach FKegel KAßmann USchlegel T(2020)Investigating Mobile Device-Based Interaction Techniques for Collocated MergingLearning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences10.1007/978-3-030-50513-4_7(92-108)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-50513-4_7
Korzetz MKühn RBüschel LSchumann FAßmann USchlegel T(2020)Introducing Mobile Device-Based Interactions to Users: An Investigation of Onboarding TutorialsHuman-Computer Interaction. Multimodal and Natural Interaction10.1007/978-3-030-49062-1_29(428-442)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-49062-1_29
Kühn RKorzetz MSchlegel TPaternò FJacucci GRohs MSantoro C(2019)User strategies for mobile device-based interactions to prevent shoulder surfingProceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia10.1145/3365610.3368412(1-5)Online publication date: 26-Nov-2019
https://dl.acm.org/doi/10.1145/3365610.3368412
Kühn RKorzetz MSchumann FBüschel LSchlegel T(2019)Vote-for-It: Investigating Mobile Device-Based Interaction Techniques for Collocated Anonymous Voting and RatingHuman-Computer Interaction – INTERACT 201910.1007/978-3-030-29381-9_36(585-605)Online publication date: 23-Aug-2019
https://doi.org/10.1007/978-3-030-29381-9_36
Korzetz MKühn RKegel KGeorgi LSchumann FSchlegel T(2019)MilkyWay: A Toolbox for Prototyping Collaborative Mobile-Based Interaction TechniquesUniversal Access in Human-Computer Interaction. Multimodality and Assistive Environments10.1007/978-3-030-23563-5_38(477-490)Online publication date: 26-Jul-2019
https://dl.acm.org/doi/10.1007/978-3-030-23563-5_38

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents