Academic Journal
Προβολή σε EDS

Senior populations' attitude towards virtual assistants: A study using extended technology acceptance model.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Senior populations' attitude towards virtual assistants: A study using extended technology acceptance model.
Συγγραφείς: Naaz S; Department of Computer Science, School of Computing, Engineering and the Built Environment, University of Roehampton, London, UK.; Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India., Raza A; Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India., Humayun M; Department of Computer Science, School of Computing, Engineering and the Built Environment, University of Roehampton, London, UK., Ghafir S; Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India., Ahmed Z; Institute of Software, Chinese Academy of Sciences, Beijing, China., Ahmad F; Department of Computer Science, Cardiff School of Technologies, Llandaff Campus, UK.
Πηγή: Assistive technology : the official journal of RESNA [Assist Technol] 2026 Sep; Vol. 38 (5), pp. 575-586. Date of Electronic Publication: 2026 Mar 17.
Τύπος έκδοσης: Journal Article
Γλώσσα: English
Στοιχεία περιοδικού: Publisher: Taylor & Francis Country of Publication: United States NLM ID: 8917250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1949-3614 (Electronic) Linking ISSN: 10400435 NLM ISO Abbreviation: Assist Technol Subsets: MEDLINE
Imprint Name(s): Publication: Philadelphia, PA : Taylor & Francis
Original Publication: [New York, NY] : Demos, [1989-
Ιατρικοί όροι (MeSH): Attitude to Computers* , User-Computer Interface*, Humans ; Female ; Aged ; Male ; Trust ; Aged, 80 and over ; Surveys and Questionnaires ; Middle Aged
Περίληψη: An interactive virtual assistant can be very useful for older people because it is cost-effective and can easily assist them. It provides ways to give them social support and manage their loneliness by giving them activities, like playing games, solving puzzles, and listening to music. The importance of progress in virtual assistants goes beyond enhancing the features of virtual assistants. Such analysis can be important in finding patterns of trust and attitudes in human interactions, leading to improved adoption of virtual assistants. One of the specific areas where this can be useful is increasing the social acceptance of these assistants among the elderly population. In this study, we surveyed to gauge the popularity of virtual assistants in the elder population, which consisted of a total of 20 questions for which 104 responses were received. Seven hypotheses were formulated for the various Technology Acceptance Model (TAM) parameters and were supported by statistical analysis. The findings highlight that the virtual assistants not only show promising potential for improving the quality of life of older adults but also explain the role of trust, perceived reliability, and emotional comfort in shaping their long-term acceptance.
Contributed Indexing: Keywords: Perceived ease of use; perceived enjoyment; perceived usefulness; technology acceptance model; trust; virtual assistants; willingness
Entry Date(s): Date Created: 20260317 Date Completed: 20260827 Latest Revision: 20260905
Update Code: 20260905
DOI: 10.1080/10400435.2026.2642118
PMID: 41842921
Βάση Δεδομένων: MEDLINE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://resolver.ebsco.com/c/fiv2js/result?sid=EBSCO:cmedm&genre=article&issn=19493614&ISBN=&volume=38&issue=5&date=20260901&spage=575&pages=575-586&title=Assistive technology : the official journal of RESNA&atitle=Senior%20populations%27%20attitude%20towards%20virtual%20assistants%3A%20A%20study%20using%20extended%20technology%20acceptance%20model.&aulast=Naaz%20S&id=DOI:10.1080/10400435.2026.2642118
    Name: Full Text Finder (for New FTF UI) (ns324271)
    Category: fullText
    Text: Full Text Finder
    MouseOverText: Full Text Finder
Header DbId: cmedm
DbLabel: MEDLINE
An: 41842921
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Senior populations' attitude towards virtual assistants: A study using extended technology acceptance model.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Naaz+S%22">Naaz S</searchLink>; Department of Computer Science, School of Computing, Engineering and the Built Environment, University of Roehampton, London, UK.; Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Raza+A%22">Raza A</searchLink>; Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Humayun+M%22">Humayun M</searchLink>; Department of Computer Science, School of Computing, Engineering and the Built Environment, University of Roehampton, London, UK.<br /><searchLink fieldCode="AU" term="%22Ghafir+S%22">Ghafir S</searchLink>; Department of Computer Science and Engineering, School of Engineering Sciences and Technology, Jamia Hamdard, New Delhi, India.<br /><searchLink fieldCode="AU" term="%22Ahmed+Z%22">Ahmed Z</searchLink>; Institute of Software, Chinese Academy of Sciences, Beijing, China.<br /><searchLink fieldCode="AU" term="%22Ahmad+F%22">Ahmad F</searchLink>; Department of Computer Science, Cardiff School of Technologies, Llandaff Campus, UK.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%228917250%22">Assistive technology : the official journal of RESNA</searchLink> [Assist Technol] 2026 Sep; Vol. 38 (5), pp. 575-586. <i>Date of Electronic Publication: </i>2026 Mar 17.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Taylor+%26+Francis%22">Taylor & Francis </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>8917250 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1949-3614 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210400435%22">10400435 </searchLink><i>NLM ISO Abbreviation: </i>Assist Technol <i>Subsets: </i>MEDLINE
– Name: PublisherInfo
  Label: Imprint Name(s)
  Group: PubInfo
  Data: <i>Publication</i>: Philadelphia, PA : Taylor & Francis<br /><i>Original Publication</i>: [New York, NY] : Demos, [1989-
– Name: SubjectMESH
  Label: MeSH Terms
  Group: Su
  Data: <searchLink fieldCode="MM" term="%22Attitude+to+Computers%22">Attitude to Computers*</searchLink> <br /><searchLink fieldCode="MM" term="%22User-Computer+Interface%22">User-Computer Interface*</searchLink><br /><searchLink fieldCode="MH" term="%22Humans%22">Humans</searchLink> ; <searchLink fieldCode="MH" term="%22Female%22">Female</searchLink> ; <searchLink fieldCode="MH" term="%22Aged%22">Aged</searchLink> ; <searchLink fieldCode="MH" term="%22Male%22">Male</searchLink> ; <searchLink fieldCode="MH" term="%22Trust%22">Trust</searchLink> ; <searchLink fieldCode="MH" term="%22Aged%2C+80+and+over%22">Aged, 80 and over</searchLink> ; <searchLink fieldCode="MH" term="%22Surveys+and+Questionnaires%22">Surveys and Questionnaires</searchLink> ; <searchLink fieldCode="MH" term="%22Middle+Aged%22">Middle Aged</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: An interactive virtual assistant can be very useful for older people because it is cost-effective and can easily assist them. It provides ways to give them social support and manage their loneliness by giving them activities, like playing games, solving puzzles, and listening to music. The importance of progress in virtual assistants goes beyond enhancing the features of virtual assistants. Such analysis can be important in finding patterns of trust and attitudes in human interactions, leading to improved adoption of virtual assistants. One of the specific areas where this can be useful is increasing the social acceptance of these assistants among the elderly population. In this study, we surveyed to gauge the popularity of virtual assistants in the elder population, which consisted of a total of 20 questions for which 104 responses were received. Seven hypotheses were formulated for the various Technology Acceptance Model (TAM) parameters and were supported by statistical analysis. The findings highlight that the virtual assistants not only show promising potential for improving the quality of life of older adults but also explain the role of trust, perceived reliability, and emotional comfort in shaping their long-term acceptance.
– Name: SubjectMinor
  Label: Contributed Indexing
  Group:
  Data: <i>Keywords: </i>Perceived ease of use; perceived enjoyment; perceived usefulness; technology acceptance model; trust; virtual assistants; willingness
– Name: DateEntry
  Label: Entry Date(s)
  Group: Date
  Data: <i>Date Created: </i>20260317 <i>Date Completed: </i>20260827 <i>Latest Revision: </i>20260905
– Name: DateUpdate
  Label: Update Code
  Group: Date
  Data: 20260905
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1080/10400435.2026.2642118
– Name: AN
  Label: PMID
  Group: ID
  Data: 41842921
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=cmedm&AN=41842921
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10400435.2026.2642118
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 575
    Subjects:
      – SubjectFull: Humans
        Type: general
      – SubjectFull: Female
        Type: general
      – SubjectFull: Aged
        Type: general
      – SubjectFull: Male
        Type: general
      – SubjectFull: Trust
        Type: general
      – SubjectFull: Aged, 80 and over
        Type: general
      – SubjectFull: Surveys and Questionnaires
        Type: general
      – SubjectFull: Middle Aged
        Type: general
      – SubjectFull: Attitude to Computers
        Type: general
      – SubjectFull: User-Computer Interface
        Type: general
    Titles:
      – TitleFull: Senior populations' attitude towards virtual assistants: A study using extended technology acceptance model.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Naaz S
      – PersonEntity:
          Name:
            NameFull: Raza A
      – PersonEntity:
          Name:
            NameFull: Humayun M
      – PersonEntity:
          Name:
            NameFull: Ghafir S
      – PersonEntity:
          Name:
            NameFull: Ahmed Z
      – PersonEntity:
          Name:
            NameFull: Ahmad F
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2026 Sep
              Type: published
              Y: 2026
          Identifiers:
            – Type: issn-electronic
              Value: 1949-3614
          Numbering:
            – Type: volume
              Value: 38
            – Type: issue
              Value: 5
          Titles:
            – TitleFull: Assistive technology : the official journal of RESNA
              Type: main
ResultId 1