TY - JOUR
T1 - That uncanny valley of mind
T2 - when anthropomorphic AI agents disrupt personalized advertising
AU - Kim, Woo Jin
AU - Ryoo, Yuhosua
AU - Choi, Yung Kyun
N1 - Publisher Copyright:
© 2024 Advertising Association.
PY - 2024
Y1 - 2024
N2 - This research, grounded in privacy calculus theory, examines how the anthropomorphization of AI agents affects consumers’ perceptions of privacy risks associated with personalized ads. Specifically, it explores strategies to reduce potential negative impacts. In Study 1, participants expressed concerns that highly anthropomorphized chatbots might possess human-like autonomous intentions to misuse personal data, a phenomenon referred to as the ‘uncanny valley of mind’. In contrast, participants felt more secure, in control, and less concerned about privacy when interacting with a mechanized, less human-like chatbot. To address this backfiring effect, Study 2 explored the role of algorithmic disclosure–where companies provide transparent information about the underlying algorithms, data handling procedures, and personalization criteria. This strategy effectively mitigated privacy concerns, thereby preventing the negative effects associated with highly anthropomorphized AI chatbots. These findings offer valuable insights for marketers utilizing AI chatbots to craft effective, personalized messages based on social media data.
AB - This research, grounded in privacy calculus theory, examines how the anthropomorphization of AI agents affects consumers’ perceptions of privacy risks associated with personalized ads. Specifically, it explores strategies to reduce potential negative impacts. In Study 1, participants expressed concerns that highly anthropomorphized chatbots might possess human-like autonomous intentions to misuse personal data, a phenomenon referred to as the ‘uncanny valley of mind’. In contrast, participants felt more secure, in control, and less concerned about privacy when interacting with a mechanized, less human-like chatbot. To address this backfiring effect, Study 2 explored the role of algorithmic disclosure–where companies provide transparent information about the underlying algorithms, data handling procedures, and personalization criteria. This strategy effectively mitigated privacy concerns, thereby preventing the negative effects associated with highly anthropomorphized AI chatbots. These findings offer valuable insights for marketers utilizing AI chatbots to craft effective, personalized messages based on social media data.
KW - AI chatbot advertising
KW - algorithmic disclosure
KW - anthropomorphism
KW - personalized advertising
KW - privacy calculus model
KW - privacy concerns
KW - uncanny valley of mind
UR - http://www.scopus.com/inward/record.url?scp=85206475717&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85206475717&partnerID=8YFLogxK
U2 - 10.1080/02650487.2024.2411669
DO - 10.1080/02650487.2024.2411669
M3 - Article
AN - SCOPUS:85206475717
SN - 0265-0487
JO - International Journal of Advertising
JF - International Journal of Advertising
ER -