User Interface Design Recommendations Through Multi-Criteria Decision Analysis

Subbiah Vairamuthu, Anthoniraj Amalanathan, S. Margret Anouncia, Uffe Kock Wiil

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

Abstract

End users encounter difficulties while spending time and effort in learning and using some software products. Ultimately, the foremost goal of all the organizations and companies developing product lies in the improvement of user’s satisfaction and interest toward the product. One of the methods by which the improvement could be performed is by designing a simple and guiding user interface that is suitable for all the users of an application. Especially, in the domain of information systems, the impediment raises due to the lack of effective user interfaces. The context of use and the end user’s knowledge about user interface pose a strenuous demand in usability. Thus, there is a demand to design interface with utmost care considering the end user’s motor skills and their abilities. Though several laws and principles exist for the stated purpose, effective design involves creativity and some amount of craft which may involve series of procedures, techniques, and tools. However, the decision making in dynamic environments to choose the techniques and tools is seemingly intractable and is complex because of natural trade-offs. Apparently, choosing from existing alternatives will frequently involve making trade-offs that may fail to satisfy requirements. Hence, the selection of alternate solution in lieu of multiple criteria has been challenging. One of the methods that were successful for this objective is multi-criteria decision analysis (MCDA). This technique defines several approaches for decision making and tries to converge toward the optimal solution. The work attempts to design user interface for any information systems with minimal number of interactions for the different categories of users.
Original languageEnglish
Title of host publicationKnowledge Computing and Its Applications : Knowledge Manipulation and Processing Techniques
EditorsS. Margret Anouncia, Uffe Kock Wiil
Volume1
Place of PublicationSingapore
PublisherSpringer
Publication date2018
Edition1.
Pages269-293
Chapter14
ISBN (Print)9789811066795
ISBN (Electronic)9789811066801
DOIs
Publication statusPublished - 2018

Fingerprint

Decision theory
User interfaces
Information systems
Decision making
Industry

Keywords

  • MCDA
  • Recommender systems
  • TOPSIS
  • User interface design

Cite this

Vairamuthu, S., Amalanathan, A., Anouncia, S. M., & Wiil, U. K. (2018). User Interface Design Recommendations Through Multi-Criteria Decision Analysis. In S. M. Anouncia, & U. K. Wiil (Eds.), Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques (1. ed., Vol. 1, pp. 269-293). Singapore: Springer. https://doi.org/10.1007/978-981-10-6680-1_14
Vairamuthu, Subbiah ; Amalanathan, Anthoniraj ; Anouncia, S. Margret ; Wiil, Uffe Kock. / User Interface Design Recommendations Through Multi-Criteria Decision Analysis. Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques. editor / S. Margret Anouncia ; Uffe Kock Wiil. Vol. 1 1. ed. Singapore : Springer, 2018. pp. 269-293
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Vairamuthu, S, Amalanathan, A, Anouncia, SM & Wiil, UK 2018, User Interface Design Recommendations Through Multi-Criteria Decision Analysis. in SM Anouncia & UK Wiil (eds), Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques. 1. edn, vol. 1, Springer, Singapore, pp. 269-293. https://doi.org/10.1007/978-981-10-6680-1_14

User Interface Design Recommendations Through Multi-Criteria Decision Analysis. / Vairamuthu, Subbiah; Amalanathan, Anthoniraj; Anouncia, S. Margret; Wiil, Uffe Kock.

Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques. ed. / S. Margret Anouncia; Uffe Kock Wiil. Vol. 1 1. ed. Singapore : Springer, 2018. p. 269-293.

Research output: Chapter in Book/Report/Conference proceedingBook chapterResearchpeer-review

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AB - End users encounter difficulties while spending time and effort in learning and using some software products. Ultimately, the foremost goal of all the organizations and companies developing product lies in the improvement of user’s satisfaction and interest toward the product. One of the methods by which the improvement could be performed is by designing a simple and guiding user interface that is suitable for all the users of an application. Especially, in the domain of information systems, the impediment raises due to the lack of effective user interfaces. The context of use and the end user’s knowledge about user interface pose a strenuous demand in usability. Thus, there is a demand to design interface with utmost care considering the end user’s motor skills and their abilities. Though several laws and principles exist for the stated purpose, effective design involves creativity and some amount of craft which may involve series of procedures, techniques, and tools. However, the decision making in dynamic environments to choose the techniques and tools is seemingly intractable and is complex because of natural trade-offs. Apparently, choosing from existing alternatives will frequently involve making trade-offs that may fail to satisfy requirements. Hence, the selection of alternate solution in lieu of multiple criteria has been challenging. One of the methods that were successful for this objective is multi-criteria decision analysis (MCDA). This technique defines several approaches for decision making and tries to converge toward the optimal solution. The work attempts to design user interface for any information systems with minimal number of interactions for the different categories of users.

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SN - 9789811066795

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EP - 293

BT - Knowledge Computing and Its Applications

A2 - Anouncia, S. Margret

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Vairamuthu S, Amalanathan A, Anouncia SM, Wiil UK. User Interface Design Recommendations Through Multi-Criteria Decision Analysis. In Anouncia SM, Wiil UK, editors, Knowledge Computing and Its Applications: Knowledge Manipulation and Processing Techniques. 1. ed. Vol. 1. Singapore: Springer. 2018. p. 269-293 https://doi.org/10.1007/978-981-10-6680-1_14