Designing a goal-oriented smart-home environment

Abstract

Nowadays, systems are growing in power and in access to more resources and services. This situation makes it necessary to provide user-centered systems that act as intelligent assistants. These systems should be able to interact in a natural way with human users and the environment and also be able to take into account user goals and environment information and changes. In this paper, we present an architecture for the design and development of a goal-oriented, self-adaptive, smart-home environment. With this architecture, users are able to interact with the system by expressing their goals which are translated into a set of agent actions in a way that is transparent to the user. This is especially appropriate for environments where ambient intelligence and automatic control are integrated for the user's welfare. In order to validate this proposal, we designed a prototype based on the proposed architecture for smart-home scenarios. We also performed a set of experiments that shows how the proposed architecture for human-agent interaction increases the number and quality of user goals achieved.

Cognitive Dissonance in Technology Adoption: A Study of Smart Home Users

“…Big data and business analytics have become a new form of value creation and a source of sustainability solutions, accelerating economic, environmental and social growth (Pappas et al, 2018, Mikalef et al, 2019. For example, the application of intelligent systems and sensors (smart homes) in residential areas can potentially address societal needs and bring environmental and economic benefits (Marikyan et al, 2019, Raad and Yang, 2009, Baudier et al, 2018 by creating energyconscious and goal-oriented smart environments (Hussain et al, 2009, Palanca et al, 2018, Gupta et al, 2018. In addition, the data generated by intelligent devices, such as smart homes, can provide knowledge about the behaviour/ interaction of users, suggesting solutions that may tackle social, environmental and economic challenges (Pappas et al, 2018).…”

A Declarative Goal-oriented Framework for Smart Environments with LPaaS

“…Most of these works fall within three main categories, viz. goal-oriented [18], hierarchical [19], and neural and fuzzy [20].…”

Natural Language Understanding for Multi-Level Distributed Intelligent Virtual Sensors

“…In [10], the authors introduced the distributed goal-oriented computing architecture (DGOC) for smart-home environments, where users need to express their goals based on a predefined formal model. Then, a case-based reasoning approach is used for planning a certain course of action.…”