Information systems researchers have studied technology acceptance for decades. Domestic technologies, such as ambient computing devices or smart homes have more recently begun to show up in scientific literature, mostly in the area of computing design. Such studies often use an ethnographic method, or study the development and potential use of particular gadgets or systems. Consumers have largely not embraced these technologies. In asking why this is the case, a previously proven method to study technology acceptance was sought and found in Davis' Technology Acceptance Model (TAM). This study seeks to demonstrate the applicability of TAM to the study of emerging domestic technologies.;In addition, a classification scheme is proposed for domestic technologies, classifying technologies based on task goal and technology type. Participants in the study were exposed to technologies from each of the four classification quadrants. Standard TAM measures, along with measures of gender, sex role attitude, and product class involvement were administered to 113 participants and path analysis was performed to determine the effect on behavioral intention (i.e., the intention to use the technology) of these factors.