scholarly journals Emotional Awareness: An Enhanced Computer Mediated Communication Using Facial Expressions

2016 ◽  
Vol 05 (01) ◽  
pp. 27-38 ◽  
Author(s):  
Moran David ◽  
Adi Katz
2019 ◽  
Author(s):  
Brittney O'Neill

The effects of emoticons in textual computer-mediated communication (CMC) remain relatively unexplored. CMC researchers have suggested that emoticons behave much as do facial expressions in face-to-face interaction (e.g. Danet, Ruedenberg-Wright, & Rosenbaum-Tamari, 1997; Rezabek & Cochenour, 1998; Thompson & Foulger, 1996). Some fMRI research suggests, however, that there is not a direct neural correspondence between emoticons and facial expressions, but that emoticons play an important role in determining the positive or negative valence of an utterance (Yuasa, Saito, & Mukawa, 2011). Following the affective priming paradigm developed by Fazio, Sanbonmatsu, Powell, and Kardes (1986), this study explores the priming effects of emoticons vis-à-vis photographs of facial expression and emotional words on valence judgements of emotionally charged words. Significant main effects of age, prime valence, and target valence were found. There were also significant interactions between these three factors. Overall results suggest that younger and older participants have differing experiences of emoticons, with younger participants experiencing an effect of emoticons that is similar to the effect of facial expressions while older adults seem to experience emoticons in ways more like textual information or even just textual nonsense.


Author(s):  
Adrian Meier ◽  
Emese Domahidi ◽  
Elisabeth Günther

The relationship between computer-mediated communication (e.g., Internet or social media use) and mental health has been a long-standing issue of debate. Various disciplines (e.g., communication, psychology, sociology, medicine) investigate computer-mediated communication in relation to a great variety of negative (i.e., psychopathology) and positive (i.e., well-being) markers of mental health. We aim at charting this vast, highly fragmented, and fast growing literature by means of a scoping review. Using methods of computational content analysis in conjunction with qualitative analyses, we map 20 years of research based on 1,780 study abstracts retrieved through a systematic database search. Results reveal the most common topics investigated in the field, as well as its disciplinary boundaries. Our review further highlights emerging trends in the literature and points to unique implications for how future research should address the various relationships between computer-mediated communication and mental health.


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