Emoticons convey emotions without cognition of faces

Yuasa, Masahide; Saito, Keiichi; Mukawa, Naoki

doi:10.1145/1125451.1125737

Cited by 48 publications

(40 citation statements)

References 4 publications

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“…Author Yuasa et al [17] experimentally showed emoticons convey emotions without the cognition of faces and that these results plays important role in investigation of abstract faces affect our behaviors. Author identified the brain activities that are related with emoticons, the most abstract faces by using functional MRI (fMRI) and described the results of the experiment with appropriate remarks.…”

Section: Review Of Literaturementioning

confidence: 99%

Sentiment Analysis With Multilayer Perceptron Using Emoticon Space Model

2017

IJAERD

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Section: Review Of Literaturementioning

confidence: 99%

Sentiment Analysis With Multilayer Perceptron Using Emoticon Space Model

2017

IJAERD

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“…This can lead to messages being misinterpreted or misconstrued [9]. The use of emoticons can help convey the emotional context of a message [20], and strengthen or adjust its meaning [6].…”

Section: Background and Related Workmentioning

confidence: 99%

Assessing the Supportiveness of Gift Emoticons in Care Scenarios

Smith

2015

Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

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There is potential for an Intelligent Virtual Agent to provide good emotional support for carers; however, its text-based messages lack context and may be misconstrued. One possible solution is to use gift emoticons to convey support. I investigate how supportive an emotional support statement is when paired with a digital gift of flowers, varying the modality (text/graphics) and explicitness of the gift (implicit/explicit). Adding a graphical emoticon improved support, measured on four scales of appropriateness, helpfulness, effectiveness and sensitivity. Images of flowers were rated higher than text; additionally, appropriate and sensitive ratings were consistently higher than effective and helpful ratings. There was no difference between explicit and implicit gifts. Participants reported that adding flowers to the support message was sympathetic and represented an effort to cheer the carer up.

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“…The pragmatic use of emoticons may also differ in the native language of the NNS. For example, Japanese emoticons may not convey emotions same as Western emoticons [26], but may serve a different, more complex purpose in socio-emotional communication [13,28].…”

Section: Explanation Of the Findingsmentioning

confidence: 99%

“…Another possible reason for the Japanese NNS not to rely on the available emoticons is the lower expressiveness of Western emoticons compared to Japanese emoticons (e.g., _|￣|○ meaning: disappointment) [28]. In short, NNS may be unable to detect the connection between the verbal emotional content and the symbols and emoticons depending on how they are used in the NNS native language.…”

Section: Explanation Of the Findingsmentioning

confidence: 99%

"Maybe it was a joke"

Hautasaari

Yamashita

Gao

2014

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Previous studies have shown that people can effectively detect emotions in text-only messages written in their native languages. But is this the same for non-native speakers? In this paper, we conduct an experiment where native English speakers (NS) and Japanese non-native English speakers (NNS) rate the emotional valence in text-only messages written by native English-speaking authors. They also annotate all emotional cues (words, symbols and emoticons) that affected their rating. Accuracy of NS and NNS ratings and annotations are calculated by comparing their average correlations with author ratings and annotations used as a gold standard. Our results conclude that NNS are significantly less accurate at detecting the emotional valence of messages, especially when the messages include highly negative words. Although NNS are as accurate as NS at detecting emotional cues, they are not able to make use of symbols (exclamation marks) and emoticons to detect the emotional valence of text-only messages.

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Emoticons convey emotions without cognition of faces

Cited by 48 publications

References 4 publications

Sentiment Analysis With Multilayer Perceptron Using Emoticon Space Model

Sentiment Analysis With Multilayer Perceptron Using Emoticon Space Model

Assessing the Supportiveness of Gift Emoticons in Care Scenarios

"Maybe it was a joke"

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