Table 1:
Participants’ Demographic Information
| Pseudonym | Gender | Age Group | Education | Racial or Ethnic Group | Mobile Phone Operating System | Regularly received assists from others with mobile phone use |
|---|---|---|---|---|---|---|
| Thomas | Man | 55-64 | Bachelor’s degree | White | iOS | Yes |
| Elenora | Woman | 55-64 | Master’s degree | White | Android | No |
| Kim | Woman | 45-54 | Bachelor’s degree | Black or African American | iOS | No |
| Tristen | Man | 65-74 | Some college credit, no degree | White | Android | Yes |
| Sylvia | Woman | 55-64 | Some college credit, no degree | Black or African American | Android | No |
| Preston | Man | 55-64 | Some college credit, no degree | White | Android | No |
| Miranda | Woman | 55-64 | Some college credit, no degree | White | iOS | Yes |
| Kennith | Man | 65-74 | Some college credit, no degree | White | iOS | Yes |
| Tina | Woman | 65-74 | Master’s degree | White | iOS | No |
| Malcolm | Man | 55-64 | Master’s degree | White | iOS | Yes |
| Josslyn | Woman | 65-74 | Some college credit, no degree | White | Android | No |
| Hall | Man | 65-74 | High school diploma or the equivalent | White | iOS | Yes |
| Alecia | Woman | 55-64 | Some college credit, no degree | White | Android | No |
| Sabella | Woman | 55-64 | Some college credit, no degree | Black or African American | iOS | Yes |