MMG: A Learning Game Platform for Understanding and Predicting Human Recall Memory

Abstract

Abstract. How humans infer probable information from the limited observed data? How they are able to build on little knowledge about the context in hand? Is the human memory repeatedly constructing and reconstructing the events that are being recalled? These are a few questions that we are interested in answering with our multimodal memory game (MMG) platform that studies human memory and their behaviors while watching and remembering TV dramas for a better recall. Based on the preliminary results of human learning obtained from the MMG games, we attempt to show that the human memory recall improves steadily with the number of game sessions. As an example case, we provide a comparison for the text-to-text and text-image-to-text learning and demonstrate that the addition of image context is useful in improving the learning.

Learner Modeling Using Educational Games: A Review of the Literature

“…Moreover, Perturbation Modeling is used to extract information about the learners in an unobtrusive way (Champagnat et al 2010;Cheng et al 2009;Fareed et al 2010). It interprets information of what the learner has learnt, and what the learner has learnt incorrectly.…”

“…In addition, this method records learners' misconceptions, errors, number and types of mistakes made by the learner, learner failure and success, and time taken to complete the game (Virvou et al 2003;Champagnat et al 2010;Virvou et al 2002;Cheng et al 2009;Fareed et al 2010;.…”

“…In another example Fareed et al (2010), an evaluation of recall improvement of learner memory was generated by defining recall accuracy as the ratio of the number of questions attempted correctly to the total number of questions.…”