title: [Willingness to accept an Internet-based mobility platform in different age cohorts. Empiric results of the project S-Mobil 100].
abstract: BACKGROUND
  The aim of the project S-Mobil 100 is to develop and implement a prototype of an internet-based, generation-appropriate mobility platform in the model region Siegen-Wittgenstein. In the context of an empirical preliminary study, use of technology, experience with technology, general attitudes towards technology, general technology commitment, and the willingness to accept the mobility platform were investigated in different age cohorts.
  
  
  METHODS
  The investigation was carried out using a written survey based on a standardized questionnaire. The sample of 358 persons aged 40-90 years was divided in four age cohorts (40-54, 55-64, 65-74, and 75 + years).
  
  
  RESULTS
  Our results show a high willingness to accept the mobility platform in the overall sample. Age, residence, income, and general technology commitment were significant predictors for the judgment of the platform.
  
  
  CONCLUSIONS
  Although there were group differences in accepting the mobility platform, the older cohorts are also open-minded towards this new technology.
authors.affiliation: Institut für Gerontologie, Ruprecht-Karls-Universität Heidelberg, Bergheimer Str. 20, 69115, Heidelberg, Deutschland, Judith.Beil@gero.uni-heidelberg.de.
authors.forename: J
authors.initials: J
authors.lastname: Beil
authors.forename: V
authors.initials: V
authors.lastname: Cihlar
authors.forename: A
authors.initials: A
authors.lastname: Kruse
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001292:Attitude to Computers; D015331:Cohort Studies; D003197:Computer Literacy; D005260:Female; D005858:Germany / Q000453:epidemiology; D006801:Humans; D020407:Internet / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D010342:Patient Acceptance of Health Care / Q000523:psychology / Q000706:statistics & numerical data*; D012923:Social Class; D011795:Surveys and Questionnaires; D017216:Telemedicine / Q000706:statistics & numerical data*