research-article

A Personalized Interaction Approach: Motivation and Use Case

Authors:

Mirjam Augstein,

Thomas Neumayr,

Werner Kurschl,

Josef AltmannAuthors Info & Claims

UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

Pages 221 - 226

https://doi.org/10.1145/3099023.3099051

Published: 09 July 2017 Publication History

Abstract

Personalization has been discussed in a number of domains such as learning, search or information retrieval. In the area of human-computer interaction, personalization also plays a prominent role. For the variety of users, especially for those with impairments, interaction abilities vary drastically and for many it is not possible to use common interaction devices like a mouse or the touch screen of a smart phone (at least not with their predefined configuration). This paper describes a personalized interaction approach based on i) modeling users' interaction abilities, ii) automated selection and configuration of interaction devices for the individual user, and iii) adaptive behavior of selected applications. It is not exclusively focused on the requirements of people with impairments but frequently takes up this target group as it might particularly benefit from interaction personalization concepts.

References

[1]

Mirjam Augstein and Thomas Neumayr 2017. Layered Evaluation of a Personalized Interaction Approach. (2017). Accepted at EvalUMAP 2017, to be held in conjunction with the 25th International Conference on User Modeling, Adaptation and Personalization.

Digital Library

[2]

Mirjam Augstein, Thomas Neumayr, Daniel Kern, Werner Kurschl, Josef Altmann, and Thomas Burger. 2017. An Analysis and Modeling Framework for Personalized Interaction Proceedings of the 22nd International Conference on Intelligent User Interfaces. Limassol, Cyprus.

Digital Library

[3]

Pradipta Biswas and Patrick Langdon 2012. Developing Multimodal Adaptation Algorithm for Mobility Impaired Users by Evaluating Their Hand Strength. International Journal of Human-Computer Interaction, Vol. 28, 9 (2012), 576--596.

[4]

Pradipta Biswas and Peter Robinson 2009. Predicting Pointing Time from Hand Strength. In Proceedings of USAB 2009: HCI and Usability for e-Inclusion. Linz, Austria.

Digital Library

[5]

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

[6]

Thomas Burger. 2004. Das Auge-Hand-Bildschirm Konzept: die 5 Stufen zum Erlernen der Maussteuerung. Technical Report. LIFEtool.

[7]

Krysztof Gajos, Daniel S. Weld, and Jacob O. Wobbrock. 2010. Automatically generating personalized user interfaces with SUPPLE. Artificial Intelligence Vol. 174, 12--13 (2010).

Digital Library

[8]

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

Digital Library

[9]

Andreas M. Heinecke. 2012. Mensch-Computer Interaktion. Springer-Verlag, Berlin Heidelberg.

[10]

Thomas Neumayr, Mirjam Augstein, Stephan Vrecer, Werner Kurschl, and Josef Altmann. 2016. Learning Special Input Methods with Personalized Game Applications Proceedings of ABIS 2016 -- 22nd International Workshop on Intelligent and Personalized Human-Computer Interaction. Aachen, Germany.

[11]

Reinhard Oppermann, Rossen Rashev, and Kinshuk 1997. Adaptability and Adaptivity in Learning Systems. Knowledge Transfer Vol. 2 (1997), 173--179.

[12]

Constantine Stephanidis. 2001natexlaba. Adaptive Techniques for Universal Access. User Modeling and User-Adapted Interaction Vol. 11 (2001), 159--179. Issue 1--2.

Digital Library

[13]

Constantine Stephanidis. 2001. User Interfaces for All: New Perspectives into Human-Computer Interaction. User Interfaces for All-Concepts, Methods, and Tools Vol. 1 (2001), 3--17.

[14]

Constantine Stephanidis, Alexandros Paramythis, Demosthenes Akoumianakis, and Michael Sfyrakis. 1998. Self-Adapting Web-Based Systems: Towards Universal Accessibility Proceedings of the 4th Workshop on User Interfae For All. Stockholm, Sweden.

[15]

Constantine Stephanidis, Alexandros Paramythis, Michael Sfyrakis, A Stergiou, Napoleon Maou, A Leventis, George Paparoulis, and Charalampos Karagiannidis. 1998. Adaptable and adaptive user interfaces for disabled users in the AVANTI project Intelligence in Services and Networks: Technology for Ubiquitous Telecom Services. 153--166.

Digital Library

[16]

Shari Trewin and Helen Pain 1999. Keyboard and mouse errors due to motor disabilities. International Journal of Human-Computer Studies, Vol. 50, 2 (1999).

Digital Library

[17]

Jacob O. Wobbrock, Kane Shaun K., Gajos Krysztof Z., Harada Susumu, and Jon Froehlich. 2011. Ability-Based Design: Concept, Principles and Examples. ACM Transactions on Accessible Computing Vol. 3, 3 (2011).

Digital Library

Cited By

Zhou ZLi ZZhang YSun L(2022)Transparent-AI Blueprint: Developing a Conceptual Tool to Support the Design of Transparent AI AgentsInternational Journal of Human–Computer Interaction10.1080/10447318.2022.209377338:18-20(1846-1873)Online publication date: 17-Jul-2022
https://doi.org/10.1080/10447318.2022.2093773
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

A Personalized Interaction Approach: Motivation and Use Case
1. Human-centered computing
  1. Accessibility
    1. Accessibility systems and tools
  2. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User models
    2. Interaction paradigms

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Published In

cover image ACM Conferences

UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

July 2017

456 pages

ISBN:9781450350679

DOI:10.1145/3099023

Editors:
Marko Tkalcic
Free University of Bolzano
,
Dhaval Thakker
University of Leeds
,
Panagiotis Germanakos
SAP SE & University of Cyprus
,
Kalina Yacef
University of Sydney
,
Cecile Paris
CSIRO ICT Centre
,
Olga Santos
Spanish National University for Distance Education
,
General Chairs:
Maria Bielikova
Slovak University of Technology in Bratislava, Slovakia
,
Eelco Herder
L3S Research Center, Germany and Radboud Universiteit Nijmegen, The Netherlands
,
Program Chairs:
Michel Desmarais
Polytechnique University, Montreal, Canada
,
Federica Cena
University of Torino, Italy

Copyright © 2017 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 ACM 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]

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Published: 09 July 2017

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UMAP '17

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UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization

July 9 - 12, 2017

Bratislava, Slovakia

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Overall Acceptance Rate 162 of 633 submissions, 26%

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UMAP '25

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33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

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Cited By

Zhou ZLi ZZhang YSun L(2022)Transparent-AI Blueprint: Developing a Conceptual Tool to Support the Design of Transparent AI AgentsInternational Journal of Human–Computer Interaction10.1080/10447318.2022.209377338:18-20(1846-1873)Online publication date: 17-Jul-2022
https://doi.org/10.1080/10447318.2022.2093773
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

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