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

E13. Rooting for Rocky or Apollo? Underdog Narratives and Crowdfunding Success

Hua (Meg) Meng, Longwood University, USA
César Zamudio, Kent State University, USA
Yiru Wang, Kent State University, USA

Read More

Featured

The "Healthy=Lighter" Heuristic

Nico Heuvinck, IESEG School of Management
Yi Li, Macquarie University
Mario Pandelaere, Virginia Tech, USA

Read More

Featured

K10. The Acronym Effect: Acronym and Buzzword Use Lowers Consumer Persuasion

Sumitra Auschaitrakul, University of the Thai Chamber of Commerce
Dan King, University of Texas Rio Grande Valley, USA
Ashesh Mukherjee, McGill University, Canada

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.