Abstract
The present work proposes a methodological approach for modeling adaptation decisions and for solving the problem of integrating existing as well as acquired knowledge in the decision module of an adaptive interface. So far, most applications do not exploit in full the value of data originating from user models or knowledge acquisition engines that monitor the user and the context. The proposed decision theoretic model is represented through specifically structured influence diagrams. It provides to designers and developers a specific method to encode user and context information, as well as other crucial decision factors, to be subsequently used in the decision making process regarding user interface adaptation actions. Such a process is driven by the definition of relevant utilities referring to the design of a user interface. The proposed model guides designers and developers of an adaptive or intelligent interface to integrate, without conflicts and incoherence, design strategies, design goals, user goals, alternative constituents, user profile, context and application domain knowledge. An illustrative example of the analyzed modeling method is presented.
| Original language | English |
|---|---|
| Pages (from-to) | 87-101 |
| Number of pages | 15 |
| Journal | Universal Access in the Information Society |
| Volume | 6 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jun 2007 |
| Externally published | Yes |
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Keywords
- Adaptive interfaces
- Bayesian networks
- Decision networks
- HCI
- HCI methodology
- Influence diagrams
- Intelligent interfaces
- Modeling user diversity
- Universal Access
ASJC Scopus subject areas
- Information Systems
Cite this
Modeling decisions under uncertainty in adaptive user interfaces. / Zarikas, Vasilios.
In: Universal Access in the Information Society, Vol. 6, No. 1, 06.2007, p. 87-101.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Modeling decisions under uncertainty in adaptive user interfaces
AU - Zarikas, Vasilios
PY - 2007/6
Y1 - 2007/6
N2 - The present work proposes a methodological approach for modeling adaptation decisions and for solving the problem of integrating existing as well as acquired knowledge in the decision module of an adaptive interface. So far, most applications do not exploit in full the value of data originating from user models or knowledge acquisition engines that monitor the user and the context. The proposed decision theoretic model is represented through specifically structured influence diagrams. It provides to designers and developers a specific method to encode user and context information, as well as other crucial decision factors, to be subsequently used in the decision making process regarding user interface adaptation actions. Such a process is driven by the definition of relevant utilities referring to the design of a user interface. The proposed model guides designers and developers of an adaptive or intelligent interface to integrate, without conflicts and incoherence, design strategies, design goals, user goals, alternative constituents, user profile, context and application domain knowledge. An illustrative example of the analyzed modeling method is presented.
AB - The present work proposes a methodological approach for modeling adaptation decisions and for solving the problem of integrating existing as well as acquired knowledge in the decision module of an adaptive interface. So far, most applications do not exploit in full the value of data originating from user models or knowledge acquisition engines that monitor the user and the context. The proposed decision theoretic model is represented through specifically structured influence diagrams. It provides to designers and developers a specific method to encode user and context information, as well as other crucial decision factors, to be subsequently used in the decision making process regarding user interface adaptation actions. Such a process is driven by the definition of relevant utilities referring to the design of a user interface. The proposed model guides designers and developers of an adaptive or intelligent interface to integrate, without conflicts and incoherence, design strategies, design goals, user goals, alternative constituents, user profile, context and application domain knowledge. An illustrative example of the analyzed modeling method is presented.
KW - Adaptive interfaces
KW - Bayesian networks
KW - Decision networks
KW - HCI
KW - HCI methodology
KW - Influence diagrams
KW - Intelligent interfaces
KW - Modeling user diversity
KW - Universal Access
UR - http://www.scopus.com/inward/record.url?scp=34548038372&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34548038372&partnerID=8YFLogxK
U2 - 10.1007/s10209-007-0072-1
DO - 10.1007/s10209-007-0072-1
M3 - Article
VL - 6
SP - 87
EP - 101
JO - Universal Access in the Information Society
JF - Universal Access in the Information Society
SN - 1615-5289
IS - 1
ER -