Memory for humorous cartoons

Generation of Humorous Situations in Cartoons through Plan-based Formalisations

Introduction Digital Storytelling aims at developing techniques for the automatic generation of narratives by computers, in the form of computer animations. In evaluating the quality of the stories produced, there has been some work dedicated to modelling suspense [Young, 1999] or the emotions of characters [Gratch and Mrasella, 2001]. However, virtually no work has addressed the characterisati...

Developing Animated Cartoons for Economic Teaching

Purpose – A picture is worth a thousand words. Multimedia teaching materials have been widely adopted by teachers in Physics, Biotechnology, Psychology, Religion, Analytical Science, and Economics nowadays. To assist with engaging students in their economic study, increase learning efficiency and understanding, solve misconception problems, encourage in class discussion, and increase final perf...

Quantifying Humorous Lexical Incongruity

Crowdsourced Explanations for Humorous Internet Memes

The subculture of humorous images is a pervasive phenomenon on the Internet. Some social media websites (e.g. 9GAG1, Reddit and 4chan) provide platforms for people to share their images and comments. These websites are often occupied by experienced users, and most of the newcomers have trouble fitting in such communities. Among all the types of humorous images, Internet memes are relatively har...

CarboHydra: Rendering Carbohydrate Cartoons

Molecular visualisation algorithms present simplified views of molecules, which allow chemists to gain insight into their structure and function. Many such algorithms are currently in use, including the ribbon diagrams by Richardson [12], which were developed specifically for viewing proteins. None are customised to the visualisation of carbohydrates – in particular, the rings of atoms formed w...