System Personality and Adaptivity in Affective Human-Computer Interaction

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Stasinos Konstantopoulos & Vangelis Karkaletsis
An enduring challenge in human-computer interaction (HCI) research is the creation of natural and intuitive interfaces. Explicit control over the personality that such interfaces are perceived to exhibit by their users is an important step towards more natural and efficient interfaces. In this paper we focus on the interaction between users and semantic knowledge-based systems where the goal of the interaction is that information from the semantic store is relayed to the user. We describe a personality modelling method that complements a standard dialogue manager by calculating parameters related to adaptivity and emotion for the various interaction modules that realize the system’s dialogue acts. This calculation involves the planned act, the user adaptivity model, the system’s own goals, but also a machine representation of the personality that we want the system to exhibit, so that systems with different personality will react differently even when in the same dialogue state and with the same user or user type.
Software and Knowledge Engineering Laboratory (SKEL)
Publication Name: 
Intl J on AI Tools 22(2)

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