User behavior prediction in the “offline” smart home solutions

Milykh, Valery; Vavilov, Dmitry; Platonov, Ivan; Anisimov, Alexander

doi:10.1109/zinc.2016.7513646

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Suboptimal usability of information systems can lead to a lack of loyalty, desertion of tasks, and a decrease in satisfaction by customers. Poor usability in smart home products restrains the usage by their customers [1]. Poor electronic health records (EHR) usability contributes to errors that can result in clinicians spending extra time using the EHR, which, in turn, has been reported to jeopardize patient safety [2].…”

Section: Introductionmentioning

confidence: 99%

AI-Augmented Usability Evaluation Framework for Software Requirements Specification

Gupta¹,

Epiphaniou²,

Maple³

2022

Preprint

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<p>A number of research in Information and Communication Technology (ICT) have shown that usability is an important goal for software-based interactive systems and products for a wider acceptance by their end-users. To evaluate the usability of a system under design, usability evaluation methods predominantly rely on subject matter experts or testers' assessments. However, integrating the Artificial Intelligence (AI) technology and existing usability evaluation methods' processes can aid to evolve more effective user-centered designs. In this paper, we conceptualize an AI-augmented usability evaluation framework (AIUEF) that aims at replacing `end-users' with `personas' to evaluate requirements involving human-computer interaction (HCI) for a given Software Requirements Specification (SRS). We present a blueprint of AIUEF that is the first step to furnishing a theoretical basis for automated usability evaluation of HCI requirements for a given SRS with an aim to improve the usability of a system under design.</p>

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Section: Introductionmentioning

confidence: 99%

AI-Augmented Usability Evaluation Framework for Software Requirements Specification

Gupta¹,

Epiphaniou²,

Maple³

2022

Preprint

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“…For the last few years, smart home researches have been increasing drastically. Many researchers have been studied some features of smart home system such as activity recognition [2]- [4], appliance control system [5]- [7], home security [8], [9], automation system based on internet of things (IoT) [10], [11], energy consumption monitoring [12], and balanced energy usage [13].…”

Section: Introductionmentioning

confidence: 99%

Distributed rule execution mechanism in smart home system

Budi

Fitriyah

Setiawan

et al. 2022

IJECE

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<p>Smart home systems become an interesting topics in the last few years. Many researchers have been studied some features. Most of smart home system use a centralized architecture know as centralized smart home system (CSHS). The centralizedmechanism is easy to manage and to configure. However, in fault-tolerant systemparadigm it produces a problem. The entire system will fail, if the master station fails.Another problem of CSHS is centralized mechanism gives more data-flow. This condition makes the system has a greater delay time. To solve the problem, we proposea distributed rule execution mechanism (DREM). Compared to the centralized mechanism, the DREM allows a device to provide its service without any commands fromthe master station. In this mechanism, since the information does not need to go tothe master station, the data-flow and the delay-time can be decreased. The experimentresults show that the DREM is able to mask the failure in the master station by directlytransmit the data from trigger device to service device. This mechanism makes the services provision without master station possible. The mathematical analysis also shows that the delay time of the service provision of the DREM is less than the delay time ofCSHS.</p>

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A Hierarchical Model for Analyzing User Experiences in Affect Aware Systems

Thakur

Han

2018

2018 IEEE 9th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)

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User behavior prediction in the “offline” smart home solutions

Cited by 5 publications

References 3 publications

AI-Augmented Usability Evaluation Framework for Software Requirements Specification

AI-Augmented Usability Evaluation Framework for Software Requirements Specification

Distributed rule execution mechanism in smart home system

A Hierarchical Model for Analyzing User Experiences in Affect Aware Systems

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