"Hey Alexa, What's Up?": A Mixed-Methods Studies of In-Home Conversational Agent Usage
By Alex Sciuto, Arnita Saini, Jodi L. Forlizzi, Jason I. Hong. Conference on Designing Interactive Systems, 2018
369 citations recorded by the source corpus.
In-home, place-based, conversational agents have exploded in popularity over the past three years. In particular, Amazon's conversational agent, Alexa, now dominates the market and is in millions of homes. This paper presents two complementary studies investigating the experience of households living with a conversational agent over an extended period of time. First, we gathered the history logs of 75 Alexa participants and quantitatively analyzed over 278,000 commands. Second, we performed seven in-home, contextual interviews of Alexa owners focusing on how their household interacts with Alexa. Our findings give the first glimpse of how households integrate Alexa into their lives. We found interesting behaviors around purchasing and acclimating to Alexa, in the number and physical placement of devices, and in daily use patterns. Participants also uniformly described interactions between children and Alexa. We conclude with suggestions for future improvement for intelligent conversational agents.
Subfields: Artificial Intelligence, Computer Science Applications, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/bee2b89389c80e47b3a65cfcc46ac3d81078c213
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Citations in the corpus
- BigBlueBot: teaching strategies for successful human-agent interactions (2019, background): “In other studies of conversational systems, people expressed apprehension toward future use due to uncertainties of the chatbot’s capabilities and issues with intent classification [18, 22, 25, 34].”