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Classifying Smart Personal Assistants: An Empirical Cluster Analysis

Knote, Robin
Janson, Andreas
Söllner, Matthias
Leimeister, Jan Marco

The 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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@inproceedings{doi:10.17170/kobra-202010302037,
  author    ={Knote, Robin and Janson, Andreas and Söllner, Matthias and Leimeister, Jan Marco},
  keywords ={004 and Autonomer Agent and Klassifikation and Cluster-Analyse},
  title    ={Classifying Smart Personal Assistants: An Empirical Cluster Analysis},
  copyright  ={http://creativecommons.org/licenses/by-nc-nd/4.0/},
  language ={en},
  year   ={2019}
}