poster

An Analysis and Modeling Framework for Personalized Interaction

Authors:

Thomas BurgerAuthors Info & Claims

IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

Pages 57 - 60

https://doi.org/10.1145/3030024.3038267

Published: 07 March 2017 Publication History

Get Access

Abstract

Personalization has been discussed in a number of domains and it also plays an important role in the area of human-computer interaction as users' interaction abilities and preferences vary drastically. Considering these individual characteristics can contribute to better user experience and also accessibility of interactive settings. This extended abstract describes a framework that enables personalized interaction based on analyzing and modeling users' interaction abilities.

References

[1]

Pradipta Biswas and Patrick Robinson, Peter ad Langdon. 2012. Designing Inclusive Interfaces Through User Modeling and Simulation. Int. Journal of Human-Computer Interaction 28 (2012), 1--33.

Crossref

Google Scholar

[2]

Krzysztof Z. Gajos, Jacob O. Wobbrock, and Daniel S. Weld. 2007. Automatically generating user interfaces adapted to users' motor and vision capabilities. In Proc. UIST 2007. ACM Press, 231--240.

Digital Library

Google Scholar

[3]

S. Hwang, A. Bianchi, M. Ahn, and K.Y. Wohn. 2013a. MagPen: Magnetically Driven Pen Interaction On and Around Conventional Smartphones. In Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services.

Digital Library

Google Scholar

[4]

S. Hwang, A. Bianchi, and K.Y. Wohn. 2013b. VibPress: Estimating Pressure Input Using Vibration Absorption on Mobile Devices. In Proceedings of the 15th International Conference on Human-Computer Interaction with Mobile Devices and Services.

Digital Library

Google Scholar

[5]

Thomas Neumayr, Mirjam Augstein, Stephan Vrecer, Werner Kurschl, and Josef Altmann. 2016. Learning Special Input Methods with Personalized Game Applications. In Mensch und Computer 2016, Workshopband. Oldenbourg.

Google Scholar

[6]

Thomas Neumayr, Daniel Kern, Mirjam Augstein, Werner Kurschl, and Josef Altmann. 2015. Analyzing Interaction for Automated Adaptation - First Steps in the IAAA Project. International Journal of Electronics and Telecommunications 61, 2 (2015), 159--164.

Crossref

Google Scholar

Cited By

View all

Augstein MNeumayr TBurger TAltmann JKurschl WVrecer S(2019)Haptic and Touchless User Input Methods for Simple 3D Interaction Tasks: Interaction Performance and User Experience for People with and Without ImpairmentsComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-26756-8_3(51-80)Online publication date: 24-Jul-2019
https://doi.org/10.1007/978-3-030-26756-8_3
Augstein MNeumayr TKurschl WKern DBurger TAltmann JBielikova MHerder EDesmarais MCena F(2017)A Personalized Interaction ApproachAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099051(221-226)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.1145/3099023.3099051
Augstein MNeumayr TBielikova MHerder EDesmarais MCena F(2017)Layered Evaluation of a Personalized Interaction ApproachAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099043(173-178)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.1145/3099023.3099043

Index Terms

An Analysis and Modeling Framework for Personalized Interaction
1. Computing methodologies
  1. Computer graphics

Recommendations

Collaborative user modeling with user-generated tags for social recommender systems

With the popularity of social media services, the sheer amount of content is increasing exponentially on the Social Web that leads to attract considerable attention to recommender systems. Recommender systems provide users with recommendations of items ...
Personalized interaction on large displays: the StreetSmart project approach
AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces

The StreetSmart Project develops information services that integrate multiple (touch and touchless) interaction paradigms on personal devices and large public displays. It exploits personalization techniques in order to offer new engaging user ...
Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations
UMAP '16: Proceedings of the 2016 Conference on User Modeling Adaptation and Personalization

User modeling for individual users on the Social Web plays a significant role and is a fundamental step for personalization as well as recommendations. Previous studies have proposed various user modeling strategies in different dimensions such as (1) ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

IUI '17 Companion: Companion Proceedings of the 22nd International Conference on Intelligent User Interfaces

March 2017

246 pages

ISBN:9781450348935

DOI:10.1145/3030024

General Chairs:
George A. Papadopoulos
The University of Cyprus, Cyprus
,
Tsvi Kuflik
The University of Haifa, Israel
,
Program Chairs:
Fang Chen
Data61, CSIRO Australia
,
Carlos Duarte
The University of Lisbon, Portugal
,
Wai-Tat Fu
The University of Illinois at Urbana-Champaign, USA

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 March 2017

Check for updates

Author Tags

Qualifiers

Poster

Conference

IUI'17

Sponsor:

IUI'17: 22nd International Conference on Intelligent User Interfaces

March 13 - 16, 2017

Limassol, Cyprus

Acceptance Rates

IUI '17 Companion Paper Acceptance Rate 63 of 272 submissions, 23%;

Overall Acceptance Rate 746 of 2,811 submissions, 27%

Upcoming Conference

IUI '25

Sponsor:
sigai
sigai

30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
119
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)1

Reflects downloads up to 04 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Augstein MNeumayr TBurger TAltmann JKurschl WVrecer S(2019)Haptic and Touchless User Input Methods for Simple 3D Interaction Tasks: Interaction Performance and User Experience for People with and Without ImpairmentsComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-26756-8_3(51-80)Online publication date: 24-Jul-2019
https://doi.org/10.1007/978-3-030-26756-8_3
Augstein MNeumayr TKurschl WKern DBurger TAltmann JBielikova MHerder EDesmarais MCena F(2017)A Personalized Interaction ApproachAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099051(221-226)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.1145/3099023.3099051
Augstein MNeumayr TBielikova MHerder EDesmarais MCena F(2017)Layered Evaluation of a Personalized Interaction ApproachAdjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization10.1145/3099023.3099043(173-178)Online publication date: 9-Jul-2017
https://dl.acm.org/doi/10.1145/3099023.3099043

View Options

Get Access

Login options

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

Cited By

Index Terms

Recommendations

Collaborative user modeling with user-generated tags for social recommender systems

Personalized interaction on large displays: the StreetSmart project approach

Towards Comprehensive User Modeling on the Social Web for Personalized Link Recommendations