Influence of Scenarios and Player Traits on Flow in Virtual Reality.

Many studies have investigated how interpersonal differences between users influence their experience in Virtual Reality (VR) and it is now well recognized that user's subjective experiences and responses to the same VR environment can vary widely. In this study, we focus on player traits, which correspond to users' preferences for game mechanics, arguing that players react differently when experiencing VR scenarios. We developed three scenarios in the same VR environment that rely on different game mechanics, and evaluate the influence of the scenarios, the player traits and the time of practice of the VR environment on users' perceived flow.

A computational model of activities performance decrease in Alzheimer's disease.

This article presents a computational model and a simulation of the decrease of performance in daily living activities due to Alzheimer's disease. The framework offered by the cognitive architecture ACT-R is used to develop the model. Typical errors committed in performing tasks by Alzheimer patients are modelled thanks to different parametrisable memory mechanisms of ACT-R and the disease evolution is represented by the increase of errors in the execution of the task.

Computational representation of Alzheimer's disease evolution applied to a cooking activity.

This article presents a computational model and a simulation of the decrease of activities of daily living performances due to Alzheimer's disease. The disease evolution is simulated thanks to the cognitive architecture ACT-R. Activities are represented according to the retrieval of semantic units in declarative memory and the trigger of rules in procedural memory.