Classifying Smart Personal Assistants: An Empirical Cluster Analysis

被引：0
|
作者：
Knote, Robin [1 ]
Janson, Andreas [1 ]
Soellner, Matthias [1 ,2 ]
Leimeister, Jan Marco [1 ,2 ]
机构：
[1] Univ Kassel, Kassel, Germany
[2] Univ St Gallen, St Gallen, Switzerland
来源：
PROCEEDINGS OF THE 52ND ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES | 2019年
关键词：
DESIGN;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：2024 / 2033
页数：10
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