Coding Schema for Voice Conversational agents: Unterschied zwischen den Versionen

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|Method=Coding of the data with pre-defined and refined coding schema
 
|Method=Coding of the data with pre-defined and refined coding schema
 
|Theoretical background=Coding Schema based on [[Coding schema for Hardware Companions]]
 
|Theoretical background=Coding Schema based on [[Coding schema for Hardware Companions]]
 +
|Process of creation=The coding schema was created with a group of four students who met every week during the time of one quarter
 +
|Dimensionalization and coding cycles=The codes from [[Coding schema for Hardware Companions]] was adopted to the needs of the study.
 
|Date=2018
 
|Date=2018
 
|Research area=Information Science
 
|Research area=Information Science
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|Project data=File:Codes.xml
 
|Project data=File:Codes.xml
 
|Publication=Voice Conversational Agents: A Value Sensitive Approach,
 
|Publication=Voice Conversational Agents: A Value Sensitive Approach,
|Research data=Alexa - Research Data,
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|Research data=Research data for Voice Conversational Agents,
 
|Study=Alexa - Study,
 
|Study=Alexa - Study,
 
}}
 
}}

Version vom 5. November 2019, 19:15 Uhr

Author Taryn Bipat
Research questions How do consumer’s use the echo? Were expectations of using the Echo met? What terminology do consumers use to address the Alexa and the Echo?
Method Coding of the data with pre-defined and refined coding schema
Theoretical background [[Theoretischer Hintergrund::Coding Schema based on Coding schema for Hardware Companions]]
Process of creation The coding schema was created with a group of four students who met every week during the time of one quarter
Dimensionalization and coding cycles [[Dimensionalisierung::The codes from Coding schema for Hardware Companions was adopted to the needs of the study.]]
Date 2018
Research area Information Science
Inter-coder-reliability 85%
Keywords
Visualizations
Software Atlas TI
Coding schema Datei:Codes.xml
Project data Datei:Codes.xml
Research data Research data for Voice Conversational Agents
Publication Voice Conversational Agents: A Value Sensitive Approach
Study Alexa - Study

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