Human-Computer Interaction

INTERACT 2015: Human-Computer Interaction – INTERACT 2015 pp 183-200

Emotion Detection in Non-native English Speakers’ Text-Only Messages by Native and Non-native Speakers

Conference paper

DOI: 10.1007/978-3-319-22701-6_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9296)
Cite this paper as:
Hautasaari A., Yamashita N. (2015) Emotion Detection in Non-native English Speakers’ Text-Only Messages by Native and Non-native Speakers. In: Abascal J., Barbosa S., Fetter M., Gross T., Palanque P., Winckler M. (eds) Human-Computer Interaction – INTERACT 2015. INTERACT 2015. Lecture Notes in Computer Science, vol 9296. Springer, Cham


When people from different language backgrounds communicate, they need to adopt a common shared language, such as English, to set up the conversation. In conversations conducted over text-only computer-mediated communication (CMC) mediums, mutual exchange of socio-emotional information is limited to the use of words, symbols and emoticons. Previous research suggests that when message receivers share the same native language with the authors, they are more accurate at detecting the emotional valence of messages based on these cues compared to non-native speaking receivers. But is this still true when the messages are written by non-native speakers? Moreover, what message properties influence the accuracy of emotional valence detection? In this paper, we report on an experiment where native English speakers and Japanese non-native English speakers rate the emotional valence of text-only messages written by Japanese non-native English speaking authors. We analyze how three message properties, grammatical correctness, fluency of language and use of symbols and emoticons, influence emotional valence detection for native and non-native speakers. Based on our results, we propose theoretical and practical implications for supporting multilingual socio-emotional communication in text-only CMC.


Computer-mediated communication Text-only message Non-native speaker Emotion detection 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  1. 1.NTT Communication Science LaboratoriesKyotoJapan

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