Anthropomorphism of Intelligent Personal Assistants (IPAs): Antecedents and Consequences

Based on the distinctively anthropomorphic features of intelligent personal assistants (IPAs), this paper proposes a theoretical model to investigate the antecedents and consequences of IPA anthropomorphism based on three-factor theory. Specifically, it is hypothesized that anthropomorphic features of IPAs, which are synthesized speech quality, autonomy, sociability and personality, positively affect IPA anthropomorphism. Meanwhile IPA anthropomorphism influences IPA self-efficacy and social connection positively. IPA self-efficacy and social connection, in turn, are positively related to intention to explore IPAs. Scales will be developed and data will be collected through online survey. Then structural equation model (SEM) will be applied to validate the model

Modeling the Internet of Things: a simulation perspective

This paper deals with the problem of properly simulating the Internet of Things (IoT). Simulating an IoT allows evaluating strategies that can be employed to deploy smart services over different kinds of territories. However, the heterogeneity of scenarios seriously complicates this task. This imposes the use of sophisticated modeling and simulation techniques. We discuss novel approaches for the provision of scalable simulation scenarios, that enable the real-time execution of massively populated IoT environments. Attention is given to novel hybrid and multi-level simulation techniques that, when combined with agent-based, adaptive Parallel and Distributed Simulation (PADS) approaches, can provide means to perform highly detailed simulations on demand. To support this claim, we detail a use case concerned with the simulation of vehicular transportation systems.Comment: Proceedings of the IEEE 2017 International Conference on High Performance Computing and Simulation (HPCS 2017

L'intertextualité dans les publications scientifiques

La base de données bibliographiques de l'IEEE contient un certain nombre de duplications avérées avec indication des originaux copiés. Ce corpus est utilisé pour tester une méthode d'attribution d'auteur. La combinaison de la distance intertextuelle avec la fenêtre glissante et diverses techniques de classification permet d'identifier ces duplications avec un risque d'erreur très faible. Cette expérience montre également que plusieurs facteurs brouillent l'identité de l'auteur scientifique, notamment des collectifs de chercheurs à géométrie variable et une forte dose d'intertextualité acceptée voire recherchée

Agent-Based Knowledge Framework of Energy Planning System.

One of the important factors that support human life today is energy, which will ultimately affect the development of social life, economy, and environment. To meet the future energy needs, many countries perform energy system modeling. However, this process is complex and is fraught with difficulties and errors, such as incorrectness, inconsistency, incompleteness, and redundancy. This research aims to reduce those difficulties raising this research question: How can Agent-Oriented Analysis (AOA) alleviate several challenges of energy planning process. This research project will use the Design Science Research (DSR) method and use seven Agent-Based Modellings (ABMs) including agent model, goal model, interaction model, scenario model, organization model, role model, and environment model. The research will provide an agent-based knowledge analysis framework. Practically, it will enable energy planners in many countries to perform more effective and affordable planning