Extended Abstract: Probed Language-Based Assessments Using Spoken Language
Gu, Z., Rao, R., Nilsson, A. H., Eijsbroek, V., & Kjell, O. (2025). Extended Abstract: Probed Language-Based Assessments Using Spoken Language. 2025 IEEE International Professional Communication Conference (ProComm), 258–260. https://doi.org/10.1109/ProComm64814.2025.00056
@inproceedings{gu2025extended,
title = {{Extended Abstract: Probed Language-Based Assessments Using Spoken Language}},
author = {Zhuojun Gu and Rajath Rao and August Håkan Nilsson and Veerle Eijsbroek and Oscar Kjell},
year = {2025},
booktitle = {ProComm 2025},
doi = {10.1109/ProComm64814.2025.00056},
url = {https://doi.org/10.1109/ProComm64814.2025.00056}
}
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 (AUC=0.69). Thus, spoken language can complement written language responses for assessing affect in communication research.