Research data for Voice Conversational Agents

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Unique Identifier https://doi.org/10.1007/978-3-540-28650-9 4
Research area Information Science
Instrument File:Guidelines.pdf
Creation of data Data was scraped using a python script from the Amazon

product page. Only verified purchase reviews or reviews written by Amazon customers who purchased the item directly from Amazon were analyzed. A sample of 200 reviews from Figure 1: Amazon Echo is Cylindrical speaker with blue circle light at the top Data was collected from the Amazon product page. Only verified purchase reviews or reviews written by Amazon customers who purchased the item directly from Amazon were analyzed. A sample of 200 reviews from August 10, 2016 – February 6, 2017 was used for pilot data. The remainder of the data from June 19 , 2015 to August 9,2016 was analyzed for the formal data and included 25,010 posts. There are over 25000 reviews that currently fit this criterion but for the scope of this class, we selected the first 101 reviews that were a verified review purchase and only considered 1-, 2-, 4- and 5- star reviews

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?
Keywords Amazon Alexa, human-robotic relationship, anthropomorphism, Value Sensitive Design, conversational agents, artificial intelligence, voice agents, social response to technology
Time of creation 2018
Sampling Sampling
Description of data The data were forum comments about the amazon echo products where the use of the voice agent Alexa was mentioned
Publication Voice Conversational Agents: A Value Sensitive Approach
Coding Schema
Study