Date
2019Metadata
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Konferenzveröffentlichung
Classifying Smart Personal Assistants: An Empirical Cluster Analysis
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.
Citation
@inproceedings{doi:10.17170/kobra-202010302037,
author={Knote, Robin and Janson, Andreas and Söllner, Matthias and Leimeister, Jan Marco},
title={Classifying Smart Personal Assistants: An Empirical Cluster Analysis},
booktitle={Proceedings of the 52rd Annual Hawaii International Conference on System Sciences},
year={2019}
}
0500 Oax
0501 Text $btxt$2rdacontent
0502 Computermedien $bc$2rdacarrier
1100 2019$n2019
1500 1/eng
2050 ##0##http://hdl.handle.net/123456789/11915
3000 Knote, Robin
3010 Janson, Andreas
3010 Söllner, Matthias
3010 Leimeister, Jan Marco
4000 Classifying Smart Personal Assistants: An Empirical Cluster Analysis / Knote, Robin
4030
4060 Online-Ressource
4085 ##0##=u http://nbn-resolving.de/http://hdl.handle.net/123456789/11915=x R
4204 \$dKonferenzveröffentlichung
4170
5550 {{Autonomer Agent}}
5550 {{Klassifikation}}
5550 {{Cluster-Analyse}}
7136 ##0##http://hdl.handle.net/123456789/11915
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