Classifying Smart Personal Assistants: An Empirical Cluster Analysis
Journal
Hawaii International Conference on System Sciences (HICSS)
Type
conference paper
Date Issued
2019
Author(s)
Research Team
IWI 6
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.
Language
English
Keywords
Classification
Cluster Analysis
Intelligent Agents
Literature Review
Smart Personal Assistants
HSG Classification
contribution to practical use / society
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Maui, Hawaii, USA
Event Date
07.01.2019-12.01.2019
Division(s)
Eprints ID
255501
File(s)![Thumbnail Image]()
open.access
Name
JML_727.pdf
Size
574.43 KB
Format
Adobe PDF
Checksum (MD5)
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