Intelligent Attributes of Voice Assistants and User’s Love for AI: A SEM-based Study

Adoption of Voice Assistants (VA) has been a hot topic research currently. However, the existing studies are based on traditional models like Technology Acceptance Model that is less suitable for investigating adoption AI-based technologies VAs. This because conventional do not consider anthropomorphic nature potential to form emotional bonds between man and machines. Therefore, in this work we propose artificial autonomy as an intelligent AI—based attribute founded three task primitives sensing, thinking, action autonomy. Further, use concept interpersonal love apply it context human-AI relationship Sternberg’s Triangular Theory love. Data collected from 607 participants across two Asian countries. Partial Least Squares (PLS) Structural Equation Modelling (SEM) used purpose model building testing. The results highlight importance all aspects love, indicating presence consummate “ Love AI ” different xmlns:xlink="http://www.w3.org/1999/xlink">brand love since later case some passion, intimacy, commitment missing. Theoretically, study improves our understanding AI-attribute perceptions Information Systems research. findings can help technology companies develop novel strategies improving human-likeliness these