Human versus chatbot: Understanding the role of emotion in health marketing communication for vaccines.

Wan-Hsiu Sunny Tsai, Di Lun, Nicholas Carcioppolo, Ching-Hua Chuan
Author Information
  1. Wan-Hsiu Sunny Tsai: Department of Strategic Communication University of Miami Miami Florida USA. ORCID
  2. Di Lun: Department of Communication Studies University of Miami Miami Florida USA.
  3. Nicholas Carcioppolo: Department of Communication Studies University of Miami Miami Florida USA.
  4. Ching-Hua Chuan: Department of Interactive Media University of Miami Miami Florida USA.

Abstract

Based on the theoretical framework of agency effect, this study examined the role of affect in influencing the effects of chatbot versus Human brand representatives in the context of health marketing communication about HPV vaccines. We conducted a 2 (perceived agency: chatbot vs. Human) × 3 (affect elicitation: embarrassment, anger, neutral) between-subject lab experiment with 142 participants, who were randomly assigned to interact with either a perceived chatbot or a Human representative. Key findings from self-reported and behavioral data highlight the complexity of consumer-chatbot communication. Specifically, participants reported lower interaction satisfaction with the chatbot than with the Human representative when anger was evoked. However, participants were more likely to disclose concerns of HPV risks and provide more elaborate answers to the perceived Human representative when embarrassment was elicited. Overall, the chatbot performed comparably to the Human representative in terms of perceived usefulness and influence over participants' compliance intention in all emotional contexts. The findings complement the Computers as Social Actors paradigm and offer strategic guidelines to capitalize on the relative advantages of chatbot versus Human representatives.

Keywords

References

  1. Am J Psychother. 2005;59(2):83-99 [PMID: 16170915]
  2. Pers Soc Psychol Bull. 2003 Jul;29(7):819-33 [PMID: 15018671]
  3. Digit Health. 2019 Aug 21;5:2055207619871808 [PMID: 31467682]
  4. Psychol Sci. 2007 May;18(5):421-8 [PMID: 17576282]
  5. Cyberpsychol Behav Soc Netw. 2018 Aug;21(8):491-497 [PMID: 30036074]
  6. Psychol Mark. 2021 Dec;38(12):2377-2392 [PMID: 34539051]
  7. Neuroimage. 2004 Nov;23(3):967-74 [PMID: 15528097]
  8. J Pers Soc Psychol. 1996 Jun;70(6):1256-69 [PMID: 8667166]
  9. Int J Med Inform. 2018 Jun;114:101-105 [PMID: 29605386]
  10. Hum Factors. 2006 Summer;48(2):241-56 [PMID: 16884046]
  11. Philos Trans R Soc Lond B Biol Sci. 2009 Dec 12;364(1535):3441-7 [PMID: 19884138]
  12. Ergonomics. 2014;57(3):374-86 [PMID: 23924061]
  13. NCHS Data Brief. 2020 Jan;(354):1-8 [PMID: 32487295]
  14. J Commun. 2018 Aug;68(4):712-733 [PMID: 30100620]
  15. World Psychiatry. 2015 Oct;14(3):270-7 [PMID: 26407772]
  16. Cyberpsychol Behav Soc Netw. 2018 Oct;21(10):625-636 [PMID: 30334655]
  17. Behav Res Ther. 1993 Jul;31(6):539-48 [PMID: 8347112]
  18. J Med Internet Res. 2003 Dec 18;5(4):e32 [PMID: 14713660]
  19. Annu Rev Psychol. 2007;58:345-72 [PMID: 16953797]

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