Research on age-friendly interaction design for smart homes based on the long-term memory mapping model.
Objective: To address challenges faced by older adults in smart home interface operations, such as high cognitive load and symbol recognition difficulties, this study attempts to propose a preliminary age-friendly interaction design method based on the "Long-term Memory Mapping (LMM) model" and expl...
| Publicado en: | Gerontechnology Vol. 25; no. 3; pp. 1 - 12 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
International Society for Gerontechnology
2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=195723285&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 195723285 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 15691101 904R jtl: Gerontechnology issn: 15691101 maglogo: N pubinfo: dt: 2026 vid: 25 iid: 3 pid: 54298 pub: International Society for Gerontechnology artinfo: ui: 195723285 195723285 195723285 10.4017/gt.2026.25.3.1226.6 195723285 ppf: 1 ppct: 11 formats: tig: atl: Research on age-friendly interaction design for smart homes based on the long-term memory mapping model. aug: au: Wang, Huirong Liu, Xuefei Fang, Di Lyu, Sijie affil: School of Design, Dalian Minzu University, Dalian, Liaoning Province, China sug: subj: Memory Evaluation Cognition Evaluation Symbolic Interactionism Smartphone Home Modification User-Computer Interface Methods Software Design Evaluation Models, Structural Human Middle Age Aged Male Female Multimethod Studies Exploratory Research Semi-Structured Interview Aesthetics Task Performance and Analysis Time Factors Measurement Error Recognition (Psychology) Sensitivity and Specificity Visual Perception Evaluation Symbolism (Psychology) Purposive Sample Descriptive Statistics Scales Unpaired T-Tests Confidence Intervals Eye Movements Electroencephalography Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Objective: To address challenges faced by older adults in smart home interface operations, such as high cognitive load and symbol recognition difficulties, this study attempts to propose a preliminary age-friendly interaction design method based on the "Long-term Memory Mapping (LMM) model" and explore the potential value of nostalgic symbols in interface design. Method: Through literature analysis and in-depth interviews, nostalgic symbols familiar to older adults were identified, and a five-layer LMM structural model was constructed. Retro-style icons with a 1980s aesthetic were designed. A within-subject controlled experiment was conducted with 15 older adults aged 60-75 to compare their performance between the nostalgic icon group and the modern flat icon group in terms of first-time recognition accuracy, task completion time, and error frequency. Results: The nostalgic icon group performed better than the control group in first-time recognition accuracy, task completion time, and error frequency. Conclusion: The preliminary findings of this exploratory study suggest that the use of nostalgic symbols is associated with the activation of long-term memory in older adults and may contribute to reduced cognitive load and improved operational efficiency. The LMM model offers some insights for the design of age-friendly interfaces in smart homes; however, the specific contribution of the "nostalgia effect" and its causal mechanisms still require further testing in future studies that strictly control for confounding variables. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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