Measuring the extent to which autonomy, interactivity, approachability, anthropomorphism, and interaction experiences of living with smart voice assistant

<p> This study analyzes the relationship between the intelligent attributes of smart voice assistants (SVAs) and consumer well-being using structural equation modeling based on the means-end chain theory (attributes, consequences, and values).</p> <p> We measured two intelligent attributes as observed variables for attributes. One is a 9-item scale for the autonomy of SVAs (Hu et al., 2021; Kang & Shao, 2023). The other is 12 items in total: four items related to two-way communication, four items related to perceived control, and four items related to responsiveness regarding the interactivity of SVAs (Song & Zinkhan, 2008; Kang & Shao, 2023).</p> <p> We measured psychological and social consequences as consequence variables. Psychological consequence was measured using a 10-point continuous scale used by Levordashka & Utz (2016) to measure approachability toward SVAs. Social consequence was measured using three items to measure the degree of anthropomorphism toward SVAs (Mishra et al., 2022).</p> <p> We measured subjective well-being for living with SVAs as an observed variable for values using four items adopted from Diener et al. (1985).</p> <p> In addition, we measured the enabling experience to examine the relationship between the intelligent attributes of SVAs and consumers' subjective well-being from the assemblage theory perspective. Enabling experience refers to the self-expansion and self-extension of consumers through their interaction experience with SVAs. We used the three items adopted from Liu et al. (2022) for self-expansion and self-extension.</p> <p> In addition, we also collected responses regarding gender, age, and the time and number of years of experience using SVAs.</p>