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Miscommunication Among Children Through Text-Based Media and Its Relation to Social Anxiety

This study examined how social anxiety, gender, and mode of presentation influenced miscommunication and perception of negativity in children’s interpretation of computer-mediated messages. The initial phase of the research involved developing and validating the stimuli for emotion recognition via presentation of various emotionally toned messages. Following preparation of the stimuli, the 98 participants (aged 8-12 years) in the main study were randomly assigned to one of three conditions: audio-visual, audio-only, and text message. The same emotionally toned messages were presented in each of these three conditions. Participants were instructed to select from a list of six emotions (happy, sad, disgusted, angry, surprised, scared) which emotion each message conveyed. Participants then rated how positively or negatively they perceived each sentence, using a 5-point Likert scale that ranged from very negative to very positive. Following the emotion recognition and Likert rating task, participants completed questionnaires that gathered information about social anxiety and attribution bias. Findings revealed that additional nonverbal and paralinguistic, as in the audio-visual or audio-only condition, allowed participants to more accurately identify the emotion being conveyed in the message, compared to the text message condition. This advantage was found for all emotions with the exception of happiness. For happy messages, participants were able to identify the intended emotion at above-chance levels regardless of mode of presentation. When making interpretations about angry messages, a significant three-way interaction was observed between sex, condition and social anxiety. Likert rating analyses revealed that condition, sex, and social anxiety played important roles in the interpretation of both ambiguous and unambiguous emotions, such as surprise and happiness.

Identiferoai:union.ndltd.org:uottawa.ca/oai:ruor.uottawa.ca:10393/35766
Date January 2017
CreatorsDoey, Laura
ContributorsYounger, Alastair J.
PublisherUniversité d'Ottawa / University of Ottawa
Source SetsUniversité d’Ottawa
LanguageEnglish
Detected LanguageEnglish
TypeThesis

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