Analysis of the ergonomics of interfaces of popular e-marketing tools
Weronika Studzińska
weronika.studzinska@pollub.edu.plDepartment of Computer Science, Lublin University of Technology (Poland)
Abstract
This article analyses the ergonomics of the interfaces of selected e-marketing tools. The main aim of the study was to verify whether all the examined tools have a similar user interface quality. The research was conducted using the cogni-tive walkthrough method, a modified LUT list with WUP scores, and a questionnaire for assessing tool usability based on Nielsen heuristics. Three tools designed for Internet monitoring were analysed - Brand24, Mention and Awario. The experiment showed that, in terms of the ergonomics of the solutions, not all tools have a similar interface quality. For two of the analysed tools, similar results and ratings were obtained, while one of them presented a noticeably lower level.
Keywords:
ergonomics of interfaces, e-marketing, cognitive walkthroughReferences
C. Giunta, Digital marketing platform tools, generation Z, and cultural considerations, Journal of Marketing Development and Competitiveness 14(2) (2020) 63 75.
DOI: https://doi.org/10.33423/jmdc.v14i2.2834
Google Scholar
F. K. Mazumder, U. K. Das, Usability guidelines for usable user interface, International Journal of Research in Engineering and Technology 3(9) (2014) 79 82.
DOI: https://doi.org/10.15623/ijret.2014.0309011
Google Scholar
K. S. Park, C. H. Lim, A structured methodology for comparative evaluation of user interface designs using usability criteria and measures, International Journal of Industrial Ergonomics 23(5-6) (1999) 379 389.
DOI: https://doi.org/10.1016/S0169-8141(97)00059-0
Google Scholar
Ł. Kozioł, M. Żabińska, J. Majewski, Dobre praktyki projektowania interfejsu użytkownika, Zeszyt Naukowy Wyższej Szkoły Zarządzania i Bankowości w Krakowie 57 (2020) 1 14.
Google Scholar
H. Taiminen, One gets what one orders: Utilisation of digital marketing tools, The Marketing Review 16(4) (2016) 389 404.
DOI: https://doi.org/10.1362/146934716X14636478977999
Google Scholar
P. Ganev, How to Choose the Appropriate Digital Marketing Tool, Global Business & Economics Anthology 1(3) (2018) 16 25.
Google Scholar
N. A. Zaini, S. F. M. Noor, T. S. M. T. Wook, Evaluation of api interface design by applying cognitive walkthrough, International Journal of Advanced Computer Science and Applications 10(2) (2019) 306 315.
DOI: https://doi.org/10.14569/IJACSA.2019.0100241
Google Scholar
M. Jusiak, M. Miłosz, Analiza jakości interfejsu aplikacji internetowej z wykorzystaniem eye-trackingu – studium przypadku, Journal of Computer Sciences Institute, 10 (2019) 62 66.
DOI: https://doi.org/10.35784/jcsi.207
Google Scholar
A. Miklosik, M. Kuchta, N. Evans, S. Zak, Towards the adoption of machine learning-based analytical tools in digital marketing, IEEE 7 (2019) 85705 85718.
DOI: https://doi.org/10.1109/ACCESS.2019.2924425
Google Scholar
M. Borys, M. Plechawska-Wójcik, Badanie użyteczności oraz dostępności interfejsu w aplikacjach mobilnych, Nierówności Społeczne a Wzrost Gospodarczy 35 (2013) 63 78.
Google Scholar
M. Kurzyna, D. Matysiak, Analiza porównawcza jakości interfejsów mobilnego dostępu do usług wybranych banków, Praca magisterska, Politechnika Lubelska, Lublin, 2017.
Google Scholar
M. Cioczek, T. Czarnota, Analiza współczesnych interfejsów człowiek-komputer, Praca magisterska, Politechnika Lubelska, Lublin, 2021.
Google Scholar
M. Farzandipour, E. Nabovati, H. Tadayon, M. S. Jabali, Usability evaluation of a nursing information system by applying cognitive walkthrough method, International Journal of Medical Informatics 152 (2021) 1 7, https://doi.org/10.1016/j.ijmedinf.2021.104459.
DOI: https://doi.org/10.1016/j.ijmedinf.2021.104459
Google Scholar
M. Miłosz, M. Plechawska-Wójcik, M. Borys, M. Laskowski, Quality improvement of ERP system GUI using expert method: A case study, 2013 6th International Conference on Human System Interactions (HSI), IEEE (2013) 145 152.
DOI: https://doi.org/10.1109/HSI.2013.6577815
Google Scholar
P. Pawłowski, Analiza porównawcza narzędzi dedykowanych zarządzaniu projektami, Praca magisterska, Politechnika Lubelska, Lublin, 2022.
Google Scholar
M. Kuhar, T. Merčun, Exploring user experience in digital libraries through questionnaire and eye-tracking data, Library & Information Science Research 44(3) (2022) 1 11, https://doi.org/10.1016/j.lisr.2022.101175.
DOI: https://doi.org/10.1016/j.lisr.2022.101175
Google Scholar
M. Borys, M. Miłosz, Mobile application usability testing in quasi-real conditions-the synergy of using different methods, 2018 11th International Conference on Human System Interaction (HSI), IEEE (2018) 362 368.
DOI: https://doi.org/10.1109/HSI.2018.8431342
Google Scholar
K. Harezlak, J. Rzeszutek, P. Kasprowski, The eye tracking methods in user interfaces assessment, International Conference on Intelligent Decision Technologies, Springer (2015) 325 335.
DOI: https://doi.org/10.1007/978-3-319-19857-6_29
Google Scholar
A. Prahara, T. S. Saputro, Keystroke-level model to evaluate chatbot interface for reservation system, 2019 6th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), IEEE (2019) 241 246.
DOI: https://doi.org/10.11591/eecsi.v6.1966
Google Scholar
R. Khajouei, M. Zahiri Esfahani, Y. Jahani, Comparison of heuristic and cognitive walkthrough usability evaluation methods for evaluating health information systems, Journal of the American Medical Informatics Association 24 (2017) 55 60.
DOI: https://doi.org/10.1093/jamia/ocw100
Google Scholar
Brand24 – narzędzie do monitoringu Internetu i analizy danych, https://brand24.pl/, [20.03.2023].
Google Scholar
Mention – narzędzie do monitoringu Internetu i analizy danych, https://mention.com/en/, [20.03.2023].
Google Scholar
Awario – narzędzie do monitoringu Internetu i analizy danych, https://awario.com/, [20.03.2023].
Google Scholar
Mousotron – narzędzie do kontroli myszy i klawiatury, https://www.blacksunsoftware.com/mousotron.html, [21.03.2023].
Google Scholar
Authors
Weronika Studzińskaweronika.studzinska@pollub.edu.pl
Department of Computer Science, Lublin University of Technology Poland
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