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Technology adoption is a complex phenomenon requiring not only positive perceptions of technology but also its value, along with product desire strong enough to lead to desired adoption behavior. Adoption of innovations also occurs in phases, from early adopters to mainstream consumers, then laggards. While the characteristics of technology early adopters generally have been researched extensively, there is no previous work that seeks to validate some of these variables for domestic robots specifically, and which draws from HRI research to further amend them. In this work, we determine how various consumer and robot characteristics affect assessments of home robot liking, privacy concerns, and purchasing intent. We find that five main consumer characteristics are associated with robot early adopters, and that surprisingly, income has a negative correlation with purchasing intent, specifically for the companion robot. We further compare predicted product liking to purchasing intent, showing that although robot acceptance is reasonably high for those in the mainstream, purchasing intent is low. For all market segments, perceptions of high price accounted for about 20\u201330% of the variance in intended purchasing, intended use 6\u20137%, belief in performance as advertised 4\u20136%, and design 3%. While privacy concerns were not influential to purchasing intentions held by early adopters, they were to mainstream users and laggards.<\/jats:p>","DOI":"10.1145\/3714476","type":"journal-article","created":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T12:20:27Z","timestamp":1737721227000},"page":"1-39","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Do You Want Me?: Exploring Differences in Consumer Home Robot Preferences, Perceptions, and Purchase Intent"],"prefix":"10.1145","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0235-5262","authenticated-orcid":false,"given":"Natasha","family":"Randall","sequence":"first","affiliation":[{"name":"Informatics, Indiana University Bloomington, Bloomington, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2553-854X","authenticated-orcid":false,"given":"Selma","family":"\u0160abanovi\u0107","sequence":"additional","affiliation":[{"name":"Informatics, Indiana University Bloomington, Bloomington, Indiana, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,4,20]]},"reference":[{"key":"e_1_3_2_2_2","unstructured":"Marketing Charts. 2021. 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