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Classifying Smart Personal Assistants: An Empirical Cluster Analysis

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Title:Classifying Smart Personal Assistants: An Empirical Cluster Analysis
Authors:Knote, Robin
Janson, Andreas
Söllner, Matthias
Leimeister, Jan Marco
Keywords:Smart Service Systems: Analytics, Artificial Intelligence and Cognitive Applications
Decision Analytics, Mobile Services, and Service Science
Smart Personal Assistants, Intelligent Agents, Classification, Cluster Analysis, Literature Review
Date Issued:08 Jan 2019
Abstract: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.
Pages/Duration:10 pages
URI/DOI:http://hdl.handle.net/10125/59642
ISBN:978-0-9981331-2-6
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Smart Service Systems: Analytics, Artificial Intelligence and Cognitive Applications


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