Auto-Adaptive Interactive Systems for Active and Assisted Living Applications

Abstract

The objective of this work is of improving the efficacy, acceptance, adaptability and overall performance of Human-Machine Interaction (HMI) applications using a context-based approach. In HMI, we aim to define a general human model that may lead to principles and algorithms allowing more natural and effective interaction between humans and artificial agents. This is paramount for applications in the field of Active and Assisted Living (AAL). The challenge of user acceptance is of vital importance for future solutions, and still one of the major reasons for reluctance to adopt cyber-physical systems in this domain. Our hypothesis is that, we can overcome limitations of current interaction functionalities by integrating contextual information to improve algorithms accuracy when performing under very different conditions and to adapt interfaces and interaction patterns according user intentions and emotional states.

Ambient assisted living and European funds: a bibliometric approach

“…This cluster bridges the health-oriented and IT-based clusters; there is a focus on the acceptance of the technology by the individual users and its practicality, associated to the keywords usability , acceptance and evaluation . The term usability refers to its effectiveness to efficiently achieve the assigned goals while promoting user acceptance and satisfaction (Quintas et al , 2016). So, it is closely linked to the quality of the systems.…”

Towards Reasoned Modality Selection in an Embodied Conversation Agent

“…A considerable number of works addresses the two aspects of the problem: (i) when to select what modality, and (ii) how to synchronize the different modalities such that the overall (verbal and non-verbal) behavior of the agent appears coherent and natural. In the recent past, the problem has often been restricted to planning of the non-verbal behavior of an agent [7,19]. In this case, the verbal mode is assumed to be already given, either as speech (i.e., acoustic stream) [1,12] or in terms of written statements [20].…”