Investigate the Antecedents of Cognitive Dissonance among Users of Smart Home Applications
DOI:
https://doi.org/10.54691/7ycy2j89Keywords:
Smart Home Applications; Cognitive Dissonance; Interface Design; Usability.Abstract
With the rapid development of smart home, smart products are rapidly popularized, and users' dependence on smart home applications continues to increase. However, interface design and usability problems may lead to increased cognitive load of users, resulting in cognitive dissonance in psychological conflicts of users, and affect user experience. Based on the special environment and culture in Anhui Province, China, this study aims to explore the negative factors that trigger cognitive dissonance among users in smart home applications. Taking Mijia APP as an example, data was collected through semi-structured interviews, and the interview questions focused on interface design and usability. Qualitative interviews were conducted to investigate the specific effects of interface design and usability on user psychological conflict. The results of the interview reveal that the inadequacy of interface design and usability problems are important antecedents of cognitive dissonance. Based on the research results, it provides empirical reference for the improvement of smart home applications, aiming at reducing cognitive dissonance and improving user experience and satisfaction.
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[1] Chen Lifen, Chu Chengcheng, Zhao Peng, et al. Design and implementation of Smart Home Management unit software system [J]. Home Appliance Technology, 2021(2): 84-88.
[2] MARIKYAN D, PAPAGIANNIDIS S, ALAMANOS E. The Use of Smart Home Technologies: Cognitive Dissonance Perspective: British Academy of Management 2021[C]. 2021.
[3] ALAM M R, REAZ M B I, ALI M A M. A review of smart homes-Past, present, and future[J]. IEEE transactions on systems, man, and cybernetics, part C (applications and reviews), 2012, 42(6): 1190-1203.
[4] CAIVANO D, FOGLI D, LANZILOTTI R, etc. Supporting end users to control their smart home: design implications from a literature review and an empirical investigation[J]. Journal of Systems and Software, 2018, 144: 295-313.
[5] SWEARNGIN A, WANG C, OLESON A, etc. Scout: Rapid Exploration of Interface Layout Alternatives through High-Level Design Constraints[C/OL]//Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. Honolulu HI USA: ACM, 2020: 1-13[2024-03-28]. https://dl.acm.org/doi/10.1145/3313831.3376593. DOI:10.1145/3313831.3376593.
[6] JOHNSON J. Designing with the mind in mind: simple guide to understanding user interface design guidelines[M/OL]. Morgan Kaufmann, 2020[2024-03-28]. https://books.google.com/books?hl=zh-CN&lr=&id=_dLVDwAAQBAJ&oi=fnd&pg=PP1&dq=Johnson,+P.+Designing+Intuitive+User+Interfaces:+Evidence+from+Field+Experiments&ots=t0EXrsSo6h&sig=dnTl6k_JAgmKI89DAm_xND0mnLM.
[7] YU N, OUYANG Z, WANG H, etc. The effects of smart home interface touch button design features on performance among young and senior users[J]. International Journal of Environmental Research and Public Health, 2022, 19(4): 2391.
[8] ALVES T, NATÁLIO J, HENRIQUES-CALADO J, etc. Incorporating personality in user interface design: A review[J]. Personality and Individual Differences, 2020, 155: 109709.
[9] SU D N, NGUYEN N A N, NGUYEN L N T, etc. Modeling consumers’ trust in mobile food delivery apps: perspectives of technology acceptance model, mobile service quality and personalization-privacy theory[J/OL]. Journal of Hospitality Marketing & Management, 2022, 31(5): 535-569. DOI:10.1080/19368623.2022.2020199.
[10] FESTINGER L. A theory of cognitive dissonance Row[J]. Peterson and company, 1957.
[11] Liu Qiqi, Huang Qi, YUAN Qinjian. Cognitive Dissonance theory and its application and prospect in information system research [J]. Modern Information, 2020, 40(6): 154-162. (in Chinese).
[12] O’CONNOR C M Alexander. An Analysis of Leon Festinger’s A Theory of Cognitive Dissonance[M/OL]. London: Macat Library, 2017. DOI:10.4324/9781912282432.
[13] LIU C, LIANG H, WANG N, etc. Ensuring employees’ information security policy compliance by carrot and stick: the moderating roles of organizational commitment and gender[J]. Information Technology & People, 2022, 35(2): 802-834.
[14] HA Q A, CHEN J V, NGUYEN T H T. Continuance use of enterprise social network sites as knowledge sharing platform: perspectives of tasks-technology fit and expectation disconfirmation theory[J/OL]. International Journal of Knowledge Management Studies, 2021, 12(4): 429. DOI:10.1504/IJKMS.2021.118349.
[15] PARK I, CHO J, RAO H R. The Dynamics of Pre‐ and Post‐purchase Service and Consumer Evaluation of Online Retailers: A Comparative Analysis of Dissonance and Disconfirmation Models*[J/OL]. Decision Sciences, 2015, 46(6): 1109-1140. DOI:10.1111/deci.12176.
[16] GLAI R. Understanding the cognitive dissoance on women post purchase behavior: a study based in Tunisia[J/OL]. 2021[2023-10-18]. http://acikerisim.antalya.edu.tr/xmlui/handle/20.500. 12566/ 924.
[17] NORMAN D A. Emotional design: Why we love (or hate) everyday things[M]. Civitas Books, 2004.
[18] ALBERT B, TULLIS T. Measuring the User Experience: Collecting, Analyzing, and Presenting UX Metrics[M]. Morgan Kaufmann, 2022.
[19] DIS I. 9241-210: 2010. Ergonomics of human system interaction-Part 210: Human-centred design for interactive systems[J]. International Standardization Organization (ISO). Switzerland, 2009.
[20] Usability glossary | Usability Body of Knowledge[EB/OL]. [2025-02-13]. https://www.usabilitybok. org/glossary.
[21] HASSENZAHL M, TRACTINSKY N. User experience-a research agenda[J]. Behaviour & information technology, 2006, 25(2): 91-97.
[22] Ding Yi, Guo Fu, HU Mingcai, et al. Review of domestic and foreign research on user experience [J/OL]. Industrial Engineering and Management, 2014, 19(4): 92-97+114. DOI:10.19495/j.cnki. 1007-5429.2014.04.014.
[23] AHMAD FAUDZI M, CHE COB Z, OMAR R, etc. Investigating the user interface design frameworks of current mobile learning applications: A systematic review[J]. Education Sciences, 2023, 13(1): 94.
[24] MUBEEN M, IQBAL M W, JUNAID M, etc. Usability evaluation of pandemic health care mobile applications[C/OL]//IOP Conference Series: Earth and Environmental Science: Volume 704. IOP Publishing, 2021: 012041[2024-03-21]. https://iopscience.iop.org/article/10.1088/1755-1315/704/1/012041/meta.
[25] WEICHBROTH P. Usability of mobile applications: a systematic literature study[J]. Ieee Access, 2020, 8: 55563-55577.
[26] Kim Maeng-ho. Development of Evaluation Indicators for Usability Evaluation of Smart Home App Design [J]. Journal of The Korean Society of Content, 2019, 19(5): 249-258.
[27] NORMAN D. The design of everyday things: Revised and expanded edition[M]. Basic books, 2013.
[28] XU R. Optimizing Smart Home Systems: Utilizing Blockchain and Edge Computing[C/OL]//2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024: 785-790[2024-12-20]. https://ieeexplore.ieee.org/abstract/document/10689819/.
[29] KIM D, YOON Y, LEE J, etc. Design and implementation of smart buildings: A review of current research trend[J]. Energies, 2022, 15(12): 4278.
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