The impact of sound design with AI synthetic voices on the listening experience in audio tour guides
Jun Chen () and
Xinran Lehto ()
Additional contact information
Jun Chen: School of Hospitality and Tourism Management, Purdue University
Xinran Lehto: School of Hospitality and Tourism Management, Purdue University
Information Technology & Tourism, 2025, vol. 27, issue 4, No 7, 1109 pages
Abstract:
Abstract In the evolving landscape of audio-guided experiences, this study explores how key sound design elements—specifically AI synthetic voices, background music, and sound effects—shape travelers’ listening experiences. Using a 2 × 2 × 2 full-factorial experimental design, we investigate how these components influence both cognitive and affective responses in audio communication. Building on strong experimental findings, textual analysis adds nuanced insights. The results show that female AI voices significantly enhance cognitive outcomes mediated by listener familiarity, and participants showed a more favorable affective response to female AI voices over male ones. Background music and sound effects also enriched experiences by enhancing mental imagery, though their significant interactions suggest that the combination of using both design elements risked overwhelming listeners. This study equips audio design practitioners with a practical framework for integrating diverse sound elements to enhance listening experiences, while also enriching the discussions on audio design and fostering innovation within technology-driven tourism.
Keywords: Audio-guided tourism; Audio user experience; Sound design; AI synthetic voice; Background music; Sound effects (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s40558-025-00332-4 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:infott:v:27:y:2025:i:4:d:10.1007_s40558-025-00332-4
Ordering information: This journal article can be ordered from
http://www.springer. ... ystems/journal/40558
DOI: 10.1007/s40558-025-00332-4
Access Statistics for this article
Information Technology & Tourism is currently edited by Zheng Xiang
More articles in Information Technology & Tourism from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().