Vocal Similarity, Trust and Persuasion in Human-Ai Agent Interactions

This research explores an important component that exists in human-AI agent interactions and user personalization – acoustic similarity. We quantify the distance measure as a measure of objective vocal similarity in pitch and timbre (MFCCs) and we show that acoustic similarity leads to higher trust, and perceptions of warmth and competence.



Citation:

Michael Lowe and Na Kyong Hyun (2020) ,"Vocal Similarity, Trust and Persuasion in Human-Ai Agent Interactions", in NA - Advances in Consumer Research Volume 48, eds. Jennifer Argo, Tina M. Lowrey, and Hope Jensen Schau, Duluth, MN : Association for Consumer Research, Pages: 907-912.

Authors

Michael Lowe, Georgia Tech, USA
Na Kyong Hyun, Georgia Tech, USA



Volume

NA - Advances in Consumer Research Volume 48 | 2020



Share Proceeding

Featured papers

See More

Featured

D8. Why Employees Communicate Positive eWOM on Social Networking Sites: Motivations and Moderators

Jing Zhang, 华中科技大学管理学院
Ya Zhang, 华中科技大学管理学院

Read More

Featured

Consumers’ Implicit Mindsets and Responses to Cause-related Marketing Campaigns

Meng-Hua Hsieh, Kent State University, USA
Ozge Yucel-Aybat, Pennsylvania State University Harrisburg

Read More

Featured

Secret Consumption in Close Relationships

Kelley Gullo, Duke University, USA
Danielle J Brick, University of New Hampshire
Gavan Fitzsimons, Duke University, USA

Read More

Engage with Us

Becoming an Association for Consumer Research member is simple. Membership in ACR is relatively inexpensive, but brings significant benefits to its members.