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Sequential model based on human cognitive processing to robot acceptance.

Waka Saeki1, Yoshiyuki Ueda2

  • 1Graduate School of Education, Kyoto University, Kyoto, Japan.

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Summary
This summary is machine-generated.

This study introduces a three-stage model for robot acceptance, emphasizing appearance and polite interaction. Better robot design, focusing on visual appeal and human-like communication, increases user acceptance.

Keywords:
appearancehuman cognitive processhuman-robot interactionpolitenessrobot acceptance

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Area of Science:

  • Human-robot interaction
  • Cognitive science
  • Robotics

Background:

  • Robots are increasingly used in customer-facing roles, but acceptance remains a challenge.
  • Existing robot acceptance models do not fully account for the sequential cognitive process of user decision-making.
  • Understanding user perception is crucial for designing acceptable communication robots.

Purpose of the Study:

  • To propose a three-stage model of robot acceptance based on human cognitive processes.
  • To identify key factors influencing robot acceptance, including appearance and interaction quality.
  • To investigate the additive or interactive effects of first contact and interaction impressions on acceptance.

Main Methods:

  • Developed a three-stage model (first contact, interaction, decision) for robot acceptance.
  • Conducted a scenario-based experiment to evaluate the impact of robot appearance and conversational politeness.
  • Analyzed the influence of these factors on robot acceptance in varying interaction success scenarios.

Main Results:

  • Robot appearance and conversational politeness significantly increase acceptance rates.
  • No significant interaction effect was found between appearance and politeness.
  • Impressions from first contact and interaction are processed additively.

Conclusions:

  • Robot acceptance is enhanced by improving visual design and human-like politeness in communication.
  • The findings support an additive approach to design, suggesting independent improvements in appearance and behavior are beneficial.
  • The proposed model provides a framework for designing more preferred and acceptable robots in service environments.