Hector Gómez-Gauchía

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Conversational Case Based Reasoning (CCBR) is a form of CBR where users initiate conversations with the system to solve a certain problem. Current CCBR solutions are limited to specific domains. In the solutions we find a lack of flexibility to deal with the user's variability: different conversation strategies depending on the user's current mood, computer(More)
Believability is a basic requirement for non-player characters of videogames. Players enjoy characters with personalities that reflect human behavior, specially if those personalities combine well with players' temperaments. This paper explains a model for customizing automatically non-player characters (NPC) according to the players temperament, which is(More)
In this paper we model a personalization system which takes into account the user interaction styles regarding a software artifact and the user temperament. We propose the use of Knowledge Intensive CBR where there are cases that represent specific variations of a given software artifact, and there are ontologies for the static knowledge. Our model is(More)
Conversational CBR has been used successfully for several years but building a new system demands a great cognitive effort of knowledge engineers and using it demands a similar effort of users. In this paper we use ontologies as the driving force to structure a development methodology where previous design efforts may be reused. We review the main issues of(More)
In this article we describe an independent domain model to manage the conversation strategies between users and computers. We apply the model in COBBER, a Conversational Case-Based Reasoning (CCBR) framework based on reusable ontologies. The overall goal of the model is to support users following an affective approach in order to keep them in the adequate(More)
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