An Exploratory Study on Kano`s Quality Attributes of Artificial Intelligent Assistant

Byun, Dae–Ho

doi:10.20462/tebs.2017.08.18.4.167

Cited by 4 publications

(4 citation statements)

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“…McCord et al (2012) defined AI as a natural language system which allows computers to extract clear and necessary information using big data and then understand a variety of sentences and phrases to respond to various questions. Citing the study by Russell (2015), Byun (2017) similarly defined the concept of AI in ways which automate intelligent human behavior, replace human tasks with advantages from machines, build automated platforms and systems that detect and execute complex and diverse environments in order to achieve a given goal, and lastly develop a comprehensive software technology that can solve problems by implementing human reasoning and understanding skills for machines. Kim and Kim (2017) defined AI as an innovative technology that finds and responds to human-like answers.…”

Section: Evaluation Of Service Qualitymentioning

confidence: 99%

Quality evaluation model of artificial intelligence service for startups

Baek

Kim

Lim

et al. 2021

IJEBR

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PurposeThis paper aims to develop a quality evaluation model for artificial intelligence (AI)-based products/services that is applicable to startups utilizing AI technology. Although AI-based service has risen dramatically and replaced many service offerings, in reality, startups are rarely to develop and evaluate AI services. The features of AI service are fundamentally different from the properties of existing services and have a great influence on the customer's service selection.Design/methodology/approachThis paper reviews startups' development process, existing quality evaluation models and characteristics of services utilizing AI technology, and develops a quality evaluation model for AI-based services. A detailed analysis of a survey (application of the model) on customer satisfaction for AI speakers is provided.FindingsThis paper provides seven key features and 24 evaluation items for evaluating AI-based services.Originality/valueThis paper contributes to the growing need for methodologies that reflect the new era of AI-based products/services in quality evaluation research.

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Section: Evaluation Of Service Qualitymentioning

confidence: 99%

Quality evaluation model of artificial intelligence service for startups

Baek

Kim

Lim

et al. 2021

IJEBR

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“…We will further assume greater regularity on f in problem (1.2) to guarantee the existence of a very weak solution. Here we use a new fresh ideas different from that used in [8,24,41] to generalize the previously obtained some results in [6,19,10,11,14,38,36] to the setting of variable exponents p, m and γ which appear in (1.6)-(1.7)-(1.8) respectively depends on the variable x. Obviously, the nonlinearity of (1.1) (resp.…”

mentioning

confidence: 93%

“…In recent years, boundary value problems with variable exponents has received a lot of attention, reader can look at the nice surveys books [16,18,22,39] and the references therein, while the study of the elliptic and parabolic problems involving singular nonlinearities with variable exponents is still developing with slowness, because there are a very limited number of results exist on this topic, reader can have the opportunity to look at the new marvellous works [8,24,28,41]. We mention also that much attention has been devoted to nonlinear elliptic equations with singularities because of their wide application to physical models such as Non-Newtonian fluids, boundary layer phenomena for viscous fluids, chemical heterogenous, etc.…”

mentioning

confidence: 99%

Existence and Uniqueness Results for a Singular Nonlinear Elliptic Equations with Variable Exponents

Abdelaziz

2024

Preprint

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This paper deals with study of the nonlinear singular elliptic equations in a bounded domain $\Omega\subset\mathbb{R}^N$, $(N\geq2)$ with Lipschitz boundary $\partial\Omega$, $$ Au=\frac{f}{u^{\gamma(\cdot)}}+\mu, $$ Where $A:=-\mathrm{div}\left(\widehat{a}(\cdot,Du)\right)$ is a Leray-Lions type operator which maps continuously $W^{1,p(\cdot)}_0(\Omega)$ into its dual $W^{-1,p’(\cdot)}(\Omega)$, whose simplest model is the $p(\cdot)$-laplacian type operator ( i.e. $\widehat{a}(\cdot,\xi)=|\xi|^{p(\cdot)-2}\xi$ ), such taht $f$ is a nonnegative function belonging to the Lebesgue space with variable exponents $L^{m(\cdot)}(\Omega)$, with $m(\cdot)$ being small ( or $L^{1}(\Omega)$ ) and $\mu$ is a nonnegative bounded Radon measure, while $m:\overline{\Omega}\to (1,+\infty)$, $\gamma:\overline{\Omega}\to (0,1)$ are continuous functions satisfying certain conditions depend on $p(\cdot)$. We prove the existence, uniqueness and regularity of nonnegative weak solutions or this class of problems with $p(\cdot)$-growth conditions. More precisely, we will discuss that the nonlinear singular term has some regularizing effects on the solutions of our problem which depends on the summability of $f$, $m(\cdot)$ and the value of $\gamma(\cdot)$. The functional framework involves Sobolev spaces with variable exponents as well as Lebesgue spaces with variable exponents. Our results can be seen as a generalization of some results given in the constant exponents case.

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“…특히 (Son et al, 2019 (Mudambi & Schuff, 2010 (Guk, 2019 (Park, 2017). 이와 같은 의 미를 지닌 용어로는 지능형 에이전트, 가상 개인비서, 가상비서, 지능형 가상비서, 인공지능 비서 등이 있다 (Oh & Kim, 2017;Lim, 2020 (Yang & Kim, 2017;Jiang et al 2015 (Oh & Kim, 2017;Byun, 2017;Hwang & Yoon, 2017;Jo & Kim, 2018;Xiao & Kim, 2018;Golden, 2018;Park & Choi, 2018;Lee, Jung. et al, 2019;Jang, 2019;Kim & Woo, 2019;Hong & Choi, 2020;Lee & Sung, 2020 (Park & Choi, 2018;Kim & Woo, 2019; (Malik et al, 2016;Dhir, Kaur et al, 2017;Dhir, Khalil et al, 2017…”

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Text Mining of Online News, Social Media, and Consumer Review on Artificial Intelligence Service

Xu¹,

Lim²,

Yeo³

et al. 2021

Fam. Environ. Res

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This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

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An Exploratory Study on Kano`s Quality Attributes of Artificial Intelligent Assistant

Cited by 4 publications

References 0 publications

Quality evaluation model of artificial intelligence service for startups

Quality evaluation model of artificial intelligence service for startups

Existence and Uniqueness Results for a Singular Nonlinear Elliptic Equations with Variable Exponents

Text Mining of Online News, Social Media, and Consumer Review on Artificial Intelligence Service

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