Taken together, these factors represent important predictors of ICT use on the individual level, though factors might be of differential importance, interact in complex ways, or even counterbalance one another. High age, low education, and low SES characterize conditions of low ICT use despite a good functional status. However, even with major physical impairments, a person with high self-efficacy and control beliefs feeding upon a lifelong technology experience may be a frequent user. Both examples underline the importance of fine-grained differential user profiles to explain interindividual differences in ICT use. In knowing about different user profiles, technology applications in different fields (e.g., virtual coaching) can be manufactured accordingly to maximize user acceptance.