Classifying Smart Personal Assistants: An Empirical Cluster Analysis
- Robin Knote, Information Systems, University of Kassel, Kassel, Germany
- Andreas Janson, Information Systems, University of Kassel, Kassel, Germany
- Matthias Söllner, Information Systems, University of Kassel, Kassel, Germany
- Jan Marco Leimeister, University of Kassel, Information Systems, Kassel, Hesse, Germany
AbstractThe digital age has yielded systems that increasingly reduce the complexity of our everyday lives. As such, smart personal assistants such as Amazon’s Alexa or Apple’s Siri combine the comfort of intuitive natural language interaction with the utility of personalized and situation-dependent information and service provision. However, research on SPAs is becoming increasingly complex and opaque. To reduce complexity, this paper introduces a classification system for SPAs. Based on a systematic literature review, a cluster analysis reveals five SPA archetypes: Adaptive Voice (Vision) Assistants, Chatbot Assistants, Embodied Virtual Assistants, Passive Pervasive Assistants, and Natural Conversation Assistants.
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