We may take the ease of using emoticons in our daily (online) conversations for granted; however, the lives of these emoticons are far more intense than I ever anticipated. Illustrator Miss Tal brought the stories of our emotion-filled friends to life with her series of animated emoticon cartoons.
The emoticon series by Miss Tal shows the emoticons in love, breaking up, crying, throwing up, getting pregnant, and eventually having a child.
Implications - These hilarious and dramatic cartoons give a whole new context to simple online convos. Never again will you use that shy smiley without being reminded of Miss Tal's soap opera emoticons. Share Miss Tal's emoticon stories with friends and family; they definitely appeal to the emotions of all.
Emoticon Love Stories
Illustrator Miss Tal Tells the Tale of Our Computer Counterparts
Trend Themes
1. Animated Emoticons - An opportunity for designers and developers to create more advanced and interactive emoticons for use in online conversations, potentially revolutionizing the way we communicate online.
2. Emoticon Storytelling - The trend of visual storytelling through emoticons could lead to creating new opportunities for digital content creators, opening up a new market for digital storytelling.
3. Emotional Intelligence for Emoticons - Developing artificial intelligence and machine learning systems that can recognize and respond to the emotional context of an online conversation could become a new trend in the digital communication industry.
Industry Implications
1. Graphics and Design - A trend showcasing animated emoticons may disrupt the graphic and visual design industry with designers becoming more creative in designing visual displays of emotions.
2. Digital Content Creation - The trend of using emoticons to tell stories online could disrupt the digital content creation industry by opening up a whole new avenue of creative expression.
3. Artificial Intelligence - As the talks of emotional intelligence build-up, emoticons could emerge as a driving force for more studies related to natural language processing and machine learning, potentially disrupting the industry.