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A systematic literature review on intelligent user interfaces: preliminary results

Published:10 December 2019Publication History

ABSTRACT

The user interfaces promote the interaction with the software system to achieve the users' goals. In this way different types of interaction are provided, such as direct manipulation, web UI or tangible interaction. These interfaces have evolved, including artificial intelligence and adaptation mechanisms to answer the evolution of the technological areas. From this evolution emerged the intelligent user interfaces that aim to be more effective, efficient, and natural.

Considering the importance of IUI nowadays, we have performed a systematic literature review to investigate the design trends of IUIs in the context of contemporary software systems, such as software systems based on internet of things (IoT) or dedicated to smart cities. Preliminary results show which models and technologies are most used to develop IUIs, and which application domain is mostly represented.

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Index Terms

  1. A systematic literature review on intelligent user interfaces: preliminary results

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        Franz J Kurfess

        Designers of user interfaces often face a fundamental dilemma: how much of the underlying functionality of the system should they expose to the user An experienced user may want direct access to most, or all, of the functionality, while casual users would benefit from a more minimalist approach. In principle, the solution for this dilemma is smart user interfaces (UIs), also referred to as intelligent, adaptive, or context-sensitive UIs. This paper presents initial results from a systematic literature review of intelligent user interfaces (IUIs). They define a research protocol for the review, with a clearly specified objective, research questions, specific search strings, the search engines used, and inclusion/exclusion criteria. Out of an initial set of 561 papers retrieved from two scientific search engines (Scopus and Web of Science) in response to an elaborate query, after the application of the inclusion/exclusion criteria, 151 were selected for full reading. In the results analysis, the authors extract relevant data guided by the criteria identified in the research questions. Most papers were published in conferences (127) versus journals (24); books like research monographs and edited collections apparently didn't make the cut [1,2,3,4]. Not surprisingly, "intelligent" and "adaptive" are the most frequent modifiers combined with user interface, and a wide range of models and software technologies are reported. One of the prominent application domains is healthcare. Further analysis will be performed based on a grounded theory methodology. I'm looking forward to a more detailed discussion of this topic in a full report.

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        • Published in

          cover image ACM Conferences
          IHM '19 Adjunct: Adjunct Proceedings of the 31st Conference on l'Interaction Homme-Machine
          December 2019
          111 pages
          ISBN:9781450370271
          DOI:10.1145/3366551

          Copyright © 2019 Owner/Author

          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.

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 10 December 2019

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          • Work in Progress

          Acceptance Rates

          IHM '19 Adjunct Paper Acceptance Rate13of21submissions,62%Overall Acceptance Rate103of199submissions,52%

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