AUTHOR=Zellou Georgia , Cohn Michelle , Ferenc Segedin Bruno 

TITLE=Age- and Gender-Related Differences in Speech Alignment Toward Humans and Voice-AI

JOURNAL=Frontiers in Communication

VOLUME=Volume 5 - 2020

YEAR=2021

URL=https://www.frontiersin.org/journals/communication/articles/10.3389/fcomm.2020.600361

DOI=10.3389/fcomm.2020.600361

ISSN=2297-900X

ABSTRACT=Speech alignment is where talkers subconsciously adopt the speech and language patterns of their interlocutor. Nowadays, people of all ages are speaking with voice-activated, artificially-intelligent (voice-AI) digital assistants through phones or smart speakers. This study examines participants’ age (older adults, 53-81 years old vs. younger adults, 18-39 years old) and gender (female and male) on degree of speech alignment during shadowing of (female and male) human and voice-AI (Apple’s Siri) productions. Degree of alignment was assessed holistically via a perceptual ratings AXB task by a separate group of listeners. Results reveal that older and younger adults display distinct patterns of alignment based on humanness and gender of the human model talkers: older adults displayed greater alignment toward the female human and device voices, while younger adults aligned to a greater extent toward the male human voice. Additionally, there were other gender-mediated differences observed, all of which interacted with model talker category (voice-AI vs. human) or shadower age category (OA vs. YA). Taken together, these results suggest a complex interplay of social dynamics in alignment, which can inform models of speech production both in human-human and human-device interaction.