Visual demands of remote simultaneous interpreters: initial findings from an experimental study

Authors

Muhammad Ahmed Saeed¹ , Tomasz Korybski¹ , Elena Davitti¹ , Sabine Braun¹

1. University of Surrey

Conference / event

Convergence: Human-Machine Integration in Translation and Interpreting, February 2023 (Guildford, United Kingdom)

Poster summary

This study explores the challenges that interpreters face as a result of the immaturity of Remote Simultaneous Interpreting (RSI) platforms and how visual design impacts user experience by examining the visual demands of remote simultaneous interpreters. A survey and experimental study were conducted with 29 remote simultaneous interpreters to gather data on their visual needs and preferences. The results of this study can inform the design of RSI platforms and training programs to improve user friendliness and mitigate negative impacts on the interpreter's experience.

Keywords

Remote simultaneous interpreting, Human computer interaction, User experience, User experience questionnaire, Human centric, Simultaneous interpreting delivery platforms

Research areas

Computer and Information Science , Humanities and Social Sciences

References

1. Saeed, M.A., González, E.R., Korybski, T., Davitti, E., Braun, S. (2022). Connected yet Distant: An Experimental Study into the Visual Needs of the Interpreter in Remote Simul-taneous Interpreting. In: Kurosu, M. (eds) Human-Computer Interaction. User Experience and Behavior. HCII 2022. Lecture Notes in Computer Science, vol 13304. Springer, Cham. https://doi.org/10.1007/978-3-031-05412-9_16
2. Rodríguez González E., Saeed A., Davitti E., Korybsk T., Braun S. (2023). "Reimagining the remote simultaneous interpreting interface to improve support for interpreters". In Óscar Ferreiro-Vázquez, Ana Teresa Varajão Moutinho Pereira Correia and Sílvia Lima Gonçalves Araújo (Eds.), Technological innovation put to the service of language learning, translation and interpreting: Insights from academic and professional contexts. Peter Lang. ISBN 978-3-631-88913-8

Funding

No data provided

Supplemental files

No data provided

Additional information

Competing interests

No competing interests were disclosed.

Data availability statement

Data sharing not applicable to this poster as no datasets were generated or analyzed during the current study.

Creative Commons license

Copyright © 2023 Saeed et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.