The impact of an agent’s voice in psychological counseling: Session evaluation and counselor rating

Hyo Chang Kim, Min Chul Cha, Yong Gu Ji

Research output: Contribution to journalArticlepeer-review

Abstract

As an agent delivers content during the communication between an artificial intelligence (AI) machine and a person, the voice of the agent is a crucial factor to be considered. Particularly in the fields of eHealth, the perception of users toward an agent is crucial as it significantly affects the communication between the agent and its patients, as well as the treatment results. Thus, this study examined the effects of the voice of an agent on the perception of users toward the agent and its counseling effects. This study developed a psychological counseling agent with four voices according to gender and age, communicated with the subjects through such agent, and measured the perception of users toward the agent and its counseling effects through a questionnaire. Results demonstrated that the female-voiced agent had a higher level of attractiveness than the male-voiced agent, regardless of the age of such voice, and the agent using an older voice had a higher level of expertness and depth than the agent using a younger voice, regardless of the gender of such voice. The findings of this study are expected to be effectively used to design a voice-based AI agent that considers the optimal voice according to the purpose of use.

Original languageEnglish
Article number2893
JournalApplied Sciences (Switzerland)
Volume11
Issue number7
DOIs
Publication statusPublished - 2021 Apr 1

Bibliographical note

Funding Information:
Funding: THIS research was funded by the Institute of Information & Communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (2016-0-00562(R0124-16-0002), Emotional Intelligence Technology to Infer Human Emotion and Carry-on Dialogue Accordingly).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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