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Emoticon

About: Emoticon is a research topic. Over the lifetime, 381 publications have been published within this topic receiving 4520 citations. The topic is also known as: smiley.


Papers
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Journal ArticleDOI
TL;DR: Positive correlations were found between objective usage of "happy" emoticons and observers' assessments of targets' agreeableness, conscientiousness and openness, which indicate the importance of specific online behaviours in self-presentation, and their impact on judgement accuracy.

58 citations

Journal ArticleDOI
TL;DR: The evaluation of CAO confirmed the system's capability to sufficiently detect and extract any emoticon, analyze its semantic structure, and estimate the potential emotion types expressed, outperforming existing emoticon analysis systems.
Abstract: This paper presents CAO, a system for affect analysis of emoticons in Japanese online communication. Emoticons are strings of symbols widely used in text-based online communication to convey user emotions. The presented system extracts emoticons from input and determines the specific emotion types they express with a three-step procedure. First, it matches the extracted emoticons to a predetermined raw emoticon database. The database contains over 10,000 emoticon samples extracted from the Web and annotated automatically. The emoticons for which emotion types could not be determined using only this database, are automatically divided into semantic areas representing “mouths” or “eyes,” based on the idea of kinemes from the theory of kinesics. The areas are automatically annotated according to their co-occurrence in the database. The annotation is first based on the eye-mouth-eye triplet, and if no such triplet is found, all semantic areas are estimated separately. This provides hints about potential groups of expressed emotions, giving the system coverage exceeding 3 million possibilities. The evaluation, performed on both training and test sets, confirmed the system's capability to sufficiently detect and extract any emoticon, analyze its semantic structure, and estimate the potential emotion types expressed. The system achieved nearly ideal scores, outperforming existing emoticon analysis systems.

55 citations

Patent
Aaron Druck1
19 Nov 2012
TL;DR: In this article, the authors discuss dynamically manipulating or modifying graphic user representations during an electronic communication, including text, images, video, or selecting an appropriate emoticon or avatar from a palette of predetermined emoticons or avatars.
Abstract: Disclosed is a system and method for an interactive communication experience on mobile devices. In general, the present disclosure discusses dynamically manipulating or modifying graphic user representations during an electronic communication. The modification or manipulation of these graphic user representations enables users to convey nuances of mood and feelings rather than being confined to conveying them through conventional communications, including text, images, video, or selecting an appropriate emoticon or avatar from a palette of predetermined emoticons or avatars.

52 citations

Journal ArticleDOI
TL;DR: The authors explored patterns of emoticon use in a sample of 86,702 Facebook users (aged 16 to 60, 59% women) and analyzed the total number and type of emoticons posted to public Facebook feeds as a function of a user's gender, age and Big Five personality characteristics.

49 citations

Patent
09 Jul 2004
TL;DR: In this article, a dynamic emoticon may include haptic, visual, and/or auditory components, each component may have an associated intensity level, e.g., based on a pressure with which a user of the game console presses a controller button or actuates a control input.
Abstract: Methods and systems for providing dynamic emoticons during chat sessions across game consoles are disclosed. A dynamic emoticon may include haptic, visual, and/or auditory components. Each component may have an associated intensity level, e.g., based on a pressure with which a user of the game console presses a controller button or actuates a control input. The emoticon's auditory component may include or identify a sound effects filter or a known audio file; the emoticon's visual component may include or identify a visual effects filter or a known video or graphic file; the emoticon's haptic component may cause vibration of or force feedback on the controller. Emoticons may be sent from one voice chat participant's game console to another voice chat participant's game console across a network such as the Internet.

48 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
202113
202030
201923
201836
201742