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Extended Abstract : Probed Language-Based Assessments Using Spoken Language

Gu, Zhuojun LU ; Rao, Rajath ; Nillson, August Hakan ; Eijsbroek, Veerle LU and Kjell, Oscar LU orcid (2025) 2025 IEEE International Professional Communication Conference, ProComm 2025 p.258-260
Abstract

Probed language-based assessments, where individuals describe their states using open-ended responses analyzed with Artificial Intelligence, have shown great promise for written language. But emotions are also conveyed through spoken language which might provide further assessment power to this method. Participants (N=645) were randomly assigned to watch a video clip of a church, shopping mall, or park, then describe their emotions using written and spoken language and closed-ended rating scales. Results: Combining written and spoken language increases the convergence with the rating scales. Spoken language demonstrates higher accuracy in classifying which video clip participants saw (AUC=0.80), as compared with written language... (More)

Probed language-based assessments, where individuals describe their states using open-ended responses analyzed with Artificial Intelligence, have shown great promise for written language. But emotions are also conveyed through spoken language which might provide further assessment power to this method. Participants (N=645) were randomly assigned to watch a video clip of a church, shopping mall, or park, then describe their emotions using written and spoken language and closed-ended rating scales. Results: Combining written and spoken language increases the convergence with the rating scales. Spoken language demonstrates higher accuracy in classifying which video clip participants saw (AUC=0.80), as compared with written language (AUC=0.69). Thus, spoken language can complement written language responses for assessing affect in communication research.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Affective speech, emotion assessment, psychoacoustics, talk
host publication
Proceedings - 2025 IEEE International Professional Communication Conference, ProComm 2025
pages
3 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
2025 IEEE International Professional Communication Conference, ProComm 2025
conference location
Sonderborg, Denmark
conference dates
2025-07-20 - 2025-07-23
external identifiers
  • scopus:105015831534
ISBN
9798331530617
DOI
10.1109/ProComm64814.2025.00056
language
English
LU publication?
yes
id
54bbf9e1-81a2-49fd-8320-a1d18556f578
date added to LUP
2025-11-12 12:30:55
date last changed
2025-11-12 12:31:52
@inproceedings{54bbf9e1-81a2-49fd-8320-a1d18556f578,
  abstract     = {{<p>Probed language-based assessments, where individuals describe their states using open-ended responses analyzed with Artificial Intelligence, have shown great promise for written language. But emotions are also conveyed through spoken language which might provide further assessment power to this method. Participants (N=645) were randomly assigned to watch a video clip of a church, shopping mall, or park, then describe their emotions using written and spoken language and closed-ended rating scales. Results: Combining written and spoken language increases the convergence with the rating scales. Spoken language demonstrates higher accuracy in classifying which video clip participants saw (AUC=0.80), as compared with written language (AUC=0.69). Thus, spoken language can complement written language responses for assessing affect in communication research.</p>}},
  author       = {{Gu, Zhuojun and Rao, Rajath and Nillson, August Hakan and Eijsbroek, Veerle and Kjell, Oscar}},
  booktitle    = {{Proceedings - 2025 IEEE International Professional Communication Conference, ProComm 2025}},
  isbn         = {{9798331530617}},
  keywords     = {{Affective speech; emotion assessment; psychoacoustics; talk}},
  language     = {{eng}},
  pages        = {{258--260}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Extended Abstract : Probed Language-Based Assessments Using Spoken Language}},
  url          = {{http://dx.doi.org/10.1109/ProComm64814.2025.00056}},
  doi          = {{10.1109/ProComm64814.2025.00056}},
  year         = {{2025}},
}