Modelo de contexto para adaptação de avatares: um estudo de caso em um sistema crowdsourcing.

Abstract

Avatar is a creature that represents a specific person in a virtual environment. By enabling interaction in applications, avatars have become very popular in games and are also becoming a reality in other domains. Built from user context information, they provide immersion and a sense of presence in applications. Literature indicates that people's behavior can be influenced by the characteristics of their avatars. A gap in the literature suggests the need for a formalism to assist developers in adapting avatars to the user's context. In this article, we propose a context model for avatar adaptation. To achieve this, we conducted a case study in a crowdsourcing system. One of the challenges of crowdsourcing systems lies in motivating users to contribute and keeping them active and motivated. The individualization and personalization of avatars with contextual information can promote interaction between the user and applications. An experiment was conducted to verify this hypothesis and facilitate discussions for model improvement.