Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model
In response to the challenge of accurately assessing age-friendly design requirements during the improvement phase of smart products, a novel evaluation model is proposed. This model is grounded in the technology acceptance model and considers the interplay between user weights and requirements. The...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10487940/ |
| _version_ | 1797217413407703040 |
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| author | Hui Zeng Jinwei Zhu Hanxi Lin Junming Chen |
| author_facet | Hui Zeng Jinwei Zhu Hanxi Lin Junming Chen |
| author_sort | Hui Zeng |
| collection | DOAJ |
| description | In response to the challenge of accurately assessing age-friendly design requirements during the improvement phase of smart products, a novel evaluation model is proposed. This model is grounded in the technology acceptance model and considers the interplay between user weights and requirements. The aim is to establish precise product indicators and development strategies, thereby maximizing user satisfaction and market competitiveness. Initially, design evaluation indicators are derived from the technology acceptance model. Subsequently, the TextRank algorithm and grounded theory are employed to determine the initial weights of these indicators. The DEMATEL method is utilized to analyze the weight of influence relationships between indicators, while the Kano model determines importance coefficients for adjusting weights. Through normalization, final weights are assigned, and the TOPSIS method implements sorting and significance analysis of age-friendly design requirements. Five age-friendly smartphone samples serve as case studies to evaluate and analyze the five age-friendly design requirement indicators. Method comparison and advantage/disadvantage sorting analyses are conducted to validate the effectiveness and feasibility of the proposed approach. |
| first_indexed | 2024-04-24T12:01:28Z |
| format | Article |
| id | doaj.art-fda198767c6849e6861bfaa9e530720e |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T12:01:28Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-fda198767c6849e6861bfaa9e530720e2024-04-08T23:00:39ZengIEEEIEEE Access2169-35362024-01-0112494084942810.1109/ACCESS.2024.338392510487940Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance ModelHui Zeng0https://orcid.org/0009-0000-3792-9815Jinwei Zhu1https://orcid.org/0009-0006-4402-0523Hanxi Lin2Junming Chen3https://orcid.org/0000-0001-6406-0924School of Design, Jiangnan University, Wuxi, ChinaSchool of Business, Jiangnan University, Wuxi, ChinaSchool of Art and Design, Dalian Polytechnic University, Dalian, ChinaFaculty of Humanities and Arts, Macau University of Science and Technology, Taipa, ChinaIn response to the challenge of accurately assessing age-friendly design requirements during the improvement phase of smart products, a novel evaluation model is proposed. This model is grounded in the technology acceptance model and considers the interplay between user weights and requirements. The aim is to establish precise product indicators and development strategies, thereby maximizing user satisfaction and market competitiveness. Initially, design evaluation indicators are derived from the technology acceptance model. Subsequently, the TextRank algorithm and grounded theory are employed to determine the initial weights of these indicators. The DEMATEL method is utilized to analyze the weight of influence relationships between indicators, while the Kano model determines importance coefficients for adjusting weights. Through normalization, final weights are assigned, and the TOPSIS method implements sorting and significance analysis of age-friendly design requirements. Five age-friendly smartphone samples serve as case studies to evaluate and analyze the five age-friendly design requirement indicators. Method comparison and advantage/disadvantage sorting analyses are conducted to validate the effectiveness and feasibility of the proposed approach.https://ieeexplore.ieee.org/document/10487940/Age-friendly designevaluation index systemsmart productstechnology acceptance modelTOPSIS |
| spellingShingle | Hui Zeng Jinwei Zhu Hanxi Lin Junming Chen Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model IEEE Access Age-friendly design evaluation index system smart products technology acceptance model TOPSIS |
| title | Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model |
| title_full | Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model |
| title_fullStr | Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model |
| title_full_unstemmed | Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model |
| title_short | Older Users Acceptance of Smart Products: An Extension of the Technology Acceptance Model |
| title_sort | older users acceptance of smart products an extension of the technology acceptance model |
| topic | Age-friendly design evaluation index system smart products technology acceptance model TOPSIS |
| url | https://ieeexplore.ieee.org/document/10487940/ |
| work_keys_str_mv | AT huizeng olderusersacceptanceofsmartproductsanextensionofthetechnologyacceptancemodel AT jinweizhu olderusersacceptanceofsmartproductsanextensionofthetechnologyacceptancemodel AT hanxilin olderusersacceptanceofsmartproductsanextensionofthetechnologyacceptancemodel AT junmingchen olderusersacceptanceofsmartproductsanextensionofthetechnologyacceptancemodel |