Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model
Abstract With the rapid advancement of technologies like the Internet, big data, and AI, various apps have impacted the daily lives of the elderly, widening the generational “digital divide.” Adapting apps for elderly users is crucial to addressing this issue. To address this challenge, we first foc...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-84526-6 |
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| author | Jian Yang Taotao Yang Lu Li |
| author_facet | Jian Yang Taotao Yang Lu Li |
| author_sort | Jian Yang |
| collection | DOAJ |
| description | Abstract With the rapid advancement of technologies like the Internet, big data, and AI, various apps have impacted the daily lives of the elderly, widening the generational “digital divide.” Adapting apps for elderly users is crucial to addressing this issue. To address this challenge, we first focused on the middle-aged and elderly population, verifying the reliability and validity of the survey results. Then, descriptive statistics were used to analyze user behavior and preferences for the APP aging mode. Finally, ACSI path analysis and the fuzzy-IPA model were applied to assess user satisfaction. The key findings are as follows: (1) The APP aging mode is quite popular; (2) middle-aged and elderly users hesitate to use the aging mode due to “loss of original functions” and “secondary interface layout and font adjustments”; (3) better user experience in the aging mode leads to higher satisfaction, whereas higher initial expectations lead to lower satisfaction; (4) four aspects-“simple operation,” “ease of learning,” “understanding of function descriptions,” and “effective help system”-have high importance but low satisfaction levels. Overall, middle-aged and elderly users find the aging mode satisfactory but with room for improvement. |
| format | Article |
| id | doaj-art-21b72fb158aa44f986691d40b17bab5e |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-21b72fb158aa44f986691d40b17bab5e2025-01-05T12:20:08ZengNature PortfolioScientific Reports2045-23222025-01-0115111710.1038/s41598-024-84526-6Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA modelJian Yang0Taotao Yang1Lu Li2School of Information, Shanxi University of Finance and EconomicsSchool of Information, Shanxi University of Finance and EconomicsSchool of Basic Medicine, Shanxi University of Chinese MedicineAbstract With the rapid advancement of technologies like the Internet, big data, and AI, various apps have impacted the daily lives of the elderly, widening the generational “digital divide.” Adapting apps for elderly users is crucial to addressing this issue. To address this challenge, we first focused on the middle-aged and elderly population, verifying the reliability and validity of the survey results. Then, descriptive statistics were used to analyze user behavior and preferences for the APP aging mode. Finally, ACSI path analysis and the fuzzy-IPA model were applied to assess user satisfaction. The key findings are as follows: (1) The APP aging mode is quite popular; (2) middle-aged and elderly users hesitate to use the aging mode due to “loss of original functions” and “secondary interface layout and font adjustments”; (3) better user experience in the aging mode leads to higher satisfaction, whereas higher initial expectations lead to lower satisfaction; (4) four aspects-“simple operation,” “ease of learning,” “understanding of function descriptions,” and “effective help system”-have high importance but low satisfaction levels. Overall, middle-aged and elderly users find the aging mode satisfactory but with room for improvement.https://doi.org/10.1038/s41598-024-84526-6Digital divideAPP aging modeUser behaviorACSI modelFuzzy-IPA |
| spellingShingle | Jian Yang Taotao Yang Lu Li Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model Scientific Reports Digital divide APP aging mode User behavior ACSI model Fuzzy-IPA |
| title | Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model |
| title_full | Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model |
| title_fullStr | Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model |
| title_full_unstemmed | Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model |
| title_short | Analysis of user behavior and satisfaction under the elderly adaptation mode of an APP based on the fuzzy-IPA model |
| title_sort | analysis of user behavior and satisfaction under the elderly adaptation mode of an app based on the fuzzy ipa model |
| topic | Digital divide APP aging mode User behavior ACSI model Fuzzy-IPA |
| url | https://doi.org/10.1038/s41598-024-84526-6 |
| work_keys_str_mv | AT jianyang analysisofuserbehaviorandsatisfactionundertheelderlyadaptationmodeofanappbasedonthefuzzyipamodel AT taotaoyang analysisofuserbehaviorandsatisfactionundertheelderlyadaptationmodeofanappbasedonthefuzzyipamodel AT luli analysisofuserbehaviorandsatisfactionundertheelderlyadaptationmodeofanappbasedonthefuzzyipamodel |