Implementing Virtual Agent as an Interface for Smart Home Voice Control

Soda, Shimpei; Nakamura, Masahide; Matsumoto, Shinsuke; Izumi, Shintaro; Kawaguchi, Hiroshi; Yoshimoto, Masahiko

doi:10.1109/apsec.2012.39

Cited by 23 publications

(7 citation statements)

References 5 publications

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“…Moreover, HNS-VAUI can efficiently use visual information to avoid long speech feedback. In our previous work [6], we have developed a prototype HNS-VAUI for CS27-HNS using MMDAgent. We have revised the original MMDAgent in order to adapt it to the CS27-HNS.…”

Section: Prototyping Vaui For Hnsmentioning

confidence: 99%

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Designing and implementing service framework for virtual agents in home network system

Horiuchi

Saiki

Matsumoto

et al. 2014

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

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In order to achieve intuitive and easy operations for home network system (HNS), we have previously proposed user interface with virtual agent (called HNS virtual agent user interface, HNS-VAUI). The HNS-VAUI was implemented with MMDAgent toolkit. A user can operate appliances and services interactively through dialog with a virtual agent in a screen. However, the previous prototype heavily depends on MMDAgent, which causes a tight coupling between HNS operations and agent behaviors, and poor capability of using external information.To cope with the problem, this paper proposes a serviceoriented framework that allows the HNS-VAUI to provide richer interaction. Specifically, we decompose the tightly-coupled system into two separate services: MMC Service and MSM service. The MMC service concentrates on controlling detailed behaviors of a virtual agent, whereas the MSM service defines logic of HNS operations and dialog with the agent with richer state machines. The two services are loosely coupled to enable more flexible and sophisticated dialog in the HNS-VAUI. The proposed framework is implemented in a real HNS environment. We also conduct a case study with practical service scenarios, to demonstrate effectiveness of the proposed framework.

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Section: Prototyping Vaui For Hnsmentioning

confidence: 99%

“…In our previous study [6], we have implemented a prototype system of HNS-VAUI, using MMDAgent Toolkit [7]. Extending the finite state machine of MMDAgent so as to invoke external Web services, we successfully allowed the virtual agent to operate appliances and services of the HNS.…”

Section: Introductionmentioning

confidence: 99%

Designing and implementing service framework for virtual agents in home network system

Horiuchi

Saiki

Matsumoto

et al. 2014

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed C

Self Cite

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“…Zhao et al proposed a system for multiple users, which considers how to provide the service for the requests from a large number of users [15]. Soda et al proposed a speech recognition method for the smart home system [16]. Previous works that consider user intention studied the accuracy of the speech recognition lack analysis of the structure of users' intention and decision making process.…”

Section: Smart Home Servicementioning

confidence: 99%

“…However, these systems do not consider the user's specific intention because the user cannot express all needs through his or her own states [7]. Bregman et al [7] × Rule-based Parra et al [8] × Rule-based Hwang et al [9] × Ontology Min [10] × Rule-based Wang et al [11] × × Naive Bayes Wu et al [4] × Rule-based Ge and Xu [12] × HMM Kim et al [13] × × HMM Evchina et al [14] × Ontology Zhao et al [15] × Goal-network Soda et al [16] × × Rule-based Note: means the inclusion of the property, whereas × means the non-inclusion.…”

Section: Smart Home Servicementioning

confidence: 99%

Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Yang

Cho

2016

Sustainability

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A smart home can be realized by the provision of services, such as building control, automation and security implemented in accordance with a user's request. One of the important issues is how to respond quickly and appropriately to a user's request in a "dynamic environment". An intelligent agent infers the user's intention and provides the intact service. This paper proposes a smart home agent system based on a hierarchical hybrid architecture of a user intention model, which models the user intention as a hierarchical structure and implements it in a dynamic environment. The conventional rule-based approach needs to obtain all information before it is executed, which requires a large number of rules and is hardly scalable as the control objects are increasing. On the other hand, the proposed system consists of several modules that construct a hierarchical user intention model. The smart home system needs to take account of the information, such as time, state of device and state of the home, in addition to users' intention. We evaluate the performance of the proposed system in a dynamic environment and conduct a blind test with seven subjects to measure the satisfaction of service, resulting in the average score of 81.46.

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“…In real-life implementations of the designed systems for voice communication [3][4][5][6] with the control system it is necessary to resolve an issue with additive noises for the particular environment [7,8]. Voice control in smart apartments is preferred mainly by older or handicapped fellow-citizens [9].…”

Section: Introductionmentioning

confidence: 99%

Testing of the voice communication in smart home care

Vaňuš

Smolon

Martínek

et al. 2015

Hum. Cent. Comput. Inf. Sci.

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This article is aimed to describe the method of testing the implementation of voice control over operating and technical functions of Smart Home Come. Custom control over operating and technical functions was implemented into a model of Smart Home that was equipped with KNX technology. A sociological survey focused on the needs of seniors has been carried out to justify the implementation of voice control into Smart Home Care. In the real environment of Smart Home Care, there are usually unwanted signals and additive noise that negatively affect the voice communication with the control system. This article describes the addition of a sophisticated system for filtering the additive background noise out of the voice communication with the control system. The additive noise significantly lowers the success of recognizing voice commands to control operating and technical functions of an intelligent building. Within the scope of the proposed application, a complex system based on fuzzy-neuron networks, specifically the ANFIS (Adaptive Neuro-Fuzzy Interference System) for adaptive suppression of unwanted background noises was created. The functionality of the designed system was evaluated both by subjective and by objective criteria (SSNR, DTW). Experimental results suggest that the studied system has the potential to refine the voice control of technical and operating functions of Smart Home Care even in a very noisy environment.

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Implementing Virtual Agent as an Interface for Smart Home Voice Control

Cited by 23 publications

References 5 publications

Designing and implementing service framework for virtual agents in home network system

Designing and implementing service framework for virtual agents in home network system

Towards Sustainable Smart Homes by a Hierarchical Hybrid Architecture of an Intelligent Agent

Testing of the voice communication in smart home care

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