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Flexible & Adaptive UIs for Self-Service Systems

Autor(en):
Yigitbas, Enes [DBLP] ;
Sauer, Stefan [DBLP]
Zusammenfassung
Self-service systems are technically complex and provide products and services to end users. Due to the heterogeneity of the users of such systems and their short residence time, the usability of a system’s user interface (UI) is of great importance. Currently, an intuitive and flexible usage is often limited because of the monolithic architecture of existing self-service systems. Furthermore, today’s self-service systems represent the one-and-only endpoint of communication with a customer when process-sing a transaction. The integration of the customer’s personal computing devices, like desktop PC, notebook, and smartphone is not sufficiently covered yet. In order to tackle these problems, we have established a methodology for developing adaptive UIs for multi-channel self-services where a customer may, for example, start a transaction on a PC at home, modify it with the smartphone, and finally finish it at a self-service terminal. In this paper we describe our integrated model-based ap-proach for the development of adaptive user interfaces for distributed multi-channel self-service systems and show its applicability in practice based on an exemplary case study.
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Yigitbas, E. & Sauer, S., (2014). Flexible & Adaptive UIs for Self-Service Systems. In: Butz, A., Koch, M. & Schlichter, J. (Hrsg.), Mensch & Computer 2014 - Workshopband. Berlin: De Gruyter Oldenbourg. (S. 167-175).
@inproceedings{mci/Yigitbas2014,
author = {Yigitbas, Enes AND Sauer, Stefan},
title = {Flexible & Adaptive UIs for Self-Service Systems},
booktitle = {Mensch & Computer 2014 - Workshopband},
year = {2014},
editor = {Butz, Andreas AND Koch, Michael AND Schlichter, Johann} ,
pages = { 167-175 },
publisher = {De Gruyter Oldenbourg},
address = {Berlin}
}
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Mehr Information

ISBN: 978-3-11-034450-9
Datum: 2014
Sprache: en (en)
Typ: workshop

Keywords

  • abis
  • hci
  • personalization
  • user modeling
Sammlungen
  • ABIS 2014 – 20th Intl. Workshop on Personalization and Recommendation on the Web and Beyond [4]
  • Workshopband MuC 2014 [60]

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Über uns | FAQ | Hilfe | Impressum | Datenschutz

Gesellschaft für Informatik e.V. (GI), Kontakt: Geschäftsstelle der GI
Diese Digital Library basiert auf DSpace.