| Title: | Intelligent user interfaces and their evaluation: a systematic mapping study |
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| Authors: | ID Brdnik, Saša (Author)
ID Heričko, Tjaša (Author)
ID Šumak, Boštjan (Author) |
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| Files: |  Intelligent_User_Interfaces_and_Th-Brdnik-2022.pdf (4,53 MB)
MD5: 2E9CFF7FABE7EDF577ADED5C756F8716
 https://www.mdpi.com/1424-8220/22/15/5830
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| Language: | English |
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| Work type: | Scientific work |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FERI - Faculty of Electrical Engineering and Computer Science
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| Abstract: | Intelligent user interfaces (IUI) are driven by the goal of improvement in human–computer interaction (HCI), mainly improving user interfaces’ user experience (UX) or usability with the help of artificial intelligence. The main goal of this study is to find, assess, and synthesize existing state-of-the-art work in the field of IUI with an additional focus on the evaluation of IUI. This study analyzed 211 studies published in the field between 2012 and 2022. Studies are most frequently tied to HCI and SE domains. Definitions of IUI were observed, showing that adaptation, representation, and intelligence are key characteristics associated with IUIs, whereas adaptation, reasoning, and representation are the most commonly used verbs in their description. Evaluation of IUI is mainly conducted with experiments and questionnaires, though usability and UX are not considered together in evaluations. Most evaluations (81% of studies) reported partial or complete improvement in usability or UX. A shortage of evaluation tools, methods, and metrics, tailored for IUI, is noticed. Most often, empirical data collection methods and data sources in IUI evaluation studies are experiment, prototype development, and questionnaire. |
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| Keywords: | intelligent user interfaces, IUI, usability, user experience, evaluation |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 05.07.2022 |
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| Article acceptance date: | 02.08.2022 |
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| Publication date: | 04.08.2022 |
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| Publisher: | MDPI AG |
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| Year of publishing: | 2022 |
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| Number of pages: | 36 str. |
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| Numbering: | Vol. 22, iss. 15 |
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| PID: | 20.500.12556/DKUM-84851  |
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| UDC: | 004.5 |
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| ISSN on article: | 1424-8220 |
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| COBISS.SI-ID: | 118214659 |
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| DOI: | 10.3390/s22155830 |
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| Copyright: | © 2022 by the authors |
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| Publication date in DKUM: | 01.08.2023 |
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| Views: | 745 |
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| Downloads: | 235 |
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| Metadata: |    |
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| Categories: | Misc.
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