Though used with a wide range of technologies and popula-tions, the Technology Acceptance Model has most frequently been used to predict acceptance of technology among individuals not currently using the given technology. As attitudes of a system may be different between individuals who have chosen to use the system and individuals who have chosen not to use the system, it is important to consider the applicability of the model on a group of users and nonusers, as this current study does. Though some-what scant, some longitudinal research offers evidence that the prediction of intention to use is still possible using the same factors for both nonusers and users. For example, research by Venkatesh and Davis (2000) applied the TAM to four groups of users, all of whom received extensive training on the new system before com-pleting items related to TAM constructs. The participants then completed the same measures 1 and 3 months later. Key factors, including perceived usefulness and perceived ease of use, re-mained significant predictors of intention to use in both follow up measures. This indicates that the TAM can be a good fit for pre-dicting intention to use among both users and nonusers. The next section describes, in more detail, the factors that relate specifically to technology acceptance in older adults and offers hypotheses for the current study.