Table 5:
Demographics of recruited older adults (age, μ = 75.56 min, σ = 6.97 min).
| ID | Age Range | Education | Occupation Before Retirement | Sex | Race | Length (min) | Residential Status | IVA Experience | Comorbidities by Systema | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CV | NL | SI | MS | ED | PM | ID | AG | PS | HM | GU | |||||||||
| P1 | 75~80 | Master’s Degree | Landscaping | M | White | 23 | Stand-alone House | Not used but knew about it | X | - | - | - | - | - | - | - | - | - | - |
| P2 | 90~95 | Associate Degree | Healthcare | F | White | 16 | Retirement Community | Neither used nor knew about it | X | - | - | - | - | - | - | - | - | - | - |
| P3 | 70~75 | Some College | Healthcare | F | White | 19 | Stand-alone House | Neither used nor knew about it | - | - | - | - | - | - | - | - | X | - | - |
| P4 | 85~90 | Master’s Degree | Education | F | White | 13 | Retirement Community | Had experience using it (Amazon Echo) | X | - | - | X | - | - | - | - | - | - | - |
| P5 | 65~70 | Bachelor’s Degree | Government | F | White | 33 | Retirement Community | Had experience using it (Amazon Echo) | - | - | - | - | X | - | - | - | - | - | - |
| P6 | 90~95 | Doctoral Degree | Healthcare | F | White | 24 | Retirement Community | Not used but knew about it | - | - | - | - | - | - | - | - | - | - | - |
| P7 | 75~80 | Some College | Senior Executive | F | White | 19 | Stand-alone House | Had experience using it (Google Mini) | - | - | - | X | - | - | - | - | - | - | - |
| P8 | 75~80 | Professional Degree | Education | F | White | 12 | Stand-alone House | Not used but knew about it | - | - | - | - | - | X | - | - | - | - | - |
| P9 | 75~80 | Professional Degree | Education | F | White | 17 | Stand-alone House | Neither used nor knew about it | - | - | - | X | - | - | - | - | - | - | - |
| P10 | 75~80 | Associate Degree | Entertainment | M | White | 27 | Stand-alone House | Neither used nor knew about it | X | - | - | - | - | - | - | - | - | - | - |
| P11 | 65~70 | Doctoral Degree | Technology | M | White | 15 | Stand-alone House | Had experience using it (Siri on iPad/iWatch, Amazon Echo) | X | - | - | - | - | - | - | - | - | - | - |
| P12 | 70~75 | Master’s Degree | Senior Executive | M | White | 24 | Stand-alone House | Had experience using it (Siri on iPad) | X | - | - | - | - | - | - | - | - | - | - |
| P13 | 65~70 | Doctoral Degree | Education | M | African American | 51 | Stand-alone House | Had experience using it (Google Assistant on smartphone) | X | - | - | X | X | - | X | X | - | - | - |
| P14 | 75~80 | High School Graduate | Government | M | Asian American | 30 | Stand-alone House | Had experience using it (Amazon Echo, Siri on iPhone) | X | X | X | X | - | - | - | - | X | - | - |
| P15 | 80~85 | Doctoral Degree | Senior Executive | M | Asian American | 26 | Retirement Community | Had experience using it (Amazon Echo) | - | - | X | - | - | - | - | - | X | - | - |
| P16 | 65~70 | Bachelor’s Degree | Education | F | Hispanic | 58 | Stand-alone House | Had experience using it (Amazon Echo and NEST Camera) | - | X | - | - | - | - | - | - | - | X | X |
a
Comorbidities by System: CV = cardiovascular, NL = neurological, SI = sensory impairment, MS = musculoskeletal, ED = endocrine, PM = pulmonary, ID = infectious diseases, AG = allergy, PS = psychiatric, HM = hematology, GU = genitourinary