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Profiling the AI speaker user: Machine learning insights into consumer adoption patterns.

Yunwoo Choi1, Changjun Lee2

  • 1Institute of Interaction Science, Sungkyunkwan University, Seoul, South Korea.

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Summary
This summary is machine-generated.

This study identifies future AI speaker users, predicting individuals aged 45-65 active on social media and preferring diverse content. Insights support targeted advertising for emerging IoT consumer technology.

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Area of Science:

  • Consumer Behavior
  • Artificial Intelligence (AI)
  • Internet of Things (IoT)

Background:

  • The rapid evolution of media technology necessitates understanding consumer adoption of AI speakers.
  • Effective advertising and marketing strategies require accurate identification of potential AI speaker consumers.
  • Previous research has not fully profiled emerging IoT consumer segments.

Purpose of the Study:

  • To identify characteristics of current AI speaker users.
  • To predict potential future consumers of AI speakers.
  • To inform targeted advertising and marketing strategies for AI speaker adoption.

Main Methods:

  • Utilized machine learning classification techniques including decision trees, random forests, support vector machines, artificial neural networks, and XGboost.
  • Analyzed data from the 2019 Media & Consumer Research survey (N = 3,922) from the Korea Broadcasting and Advertising Corporation.
  • Developed and validated predictive models to profile potential AI speaker consumers.

Main Results:

  • The XGboost model demonstrated superior performance in predicting consumer profiles.
  • Key potential consumers identified are individuals aged 45-50 and 60-65.
  • These individuals are characterized by social media activity, varied content preferences, weekday internet use, weekend cable TV viewership, and 5G technology awareness.

Conclusions:

  • Advanced machine learning effectively profiles potential AI speaker consumers beyond simple prediction.
  • Media consumption habits, lifestyle patterns, and technological understanding are critical factors in AI speaker adoption.
  • These findings provide actionable insights for developing focused and effective marketing campaigns for IoT devices.