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Article
Publication date: 24 June 2019

Ye-Eun Won, Jiwon Kang, Daejin Choi, Eunil Park and Jinyoung Han

With the rapidly improving communication technologies, a growing number of people communicate with each other in online environments. In particular, social networking services…

465

Abstract

Purpose

With the rapidly improving communication technologies, a growing number of people communicate with each other in online environments. In particular, social networking services (SNSs) are one of the widely used and common places that enable active communication among users. To understand what drives successful online conversations in SNSs, this study aims to explore the roles of posts and first comments in successful online conversations.

Design/methodology/approach

To address the purpose, the data of news-related channels in Reddit were collected and analyzed.

Findings

The study found that successful conversations tend to have the post and first comment with high scores. Also, the first comments in successful online conversations tend to be easier than those in other conversations.

Originality/value

The results reveal that successful online conversations can be generated not only with empathic posts but also with touching or attractive first comments. In other words, users are likely to participate in an online conversation that starts with an empathic post and first comment. Moreover, both practical and theoretical implications are presented.

Details

Kybernetes, vol. 49 no. 3
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 3 August 2021

Chang Hwa Baek, Seong-Young Kim, Sung Uk Lim and Jie Xiong

This paper aims to develop a quality evaluation model for artificial intelligence (AI)-based products/services that is applicable to startups utilizing AI technology. Although…

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Abstract

Purpose

This 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/approach

This 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.

Findings

This paper provides seven key features and 24 evaluation items for evaluating AI-based services.

Originality/value

This paper contributes to the growing need for methodologies that reflect the new era of AI-based products/services in quality evaluation research.

Details

International Journal of Entrepreneurial Behavior & Research, vol. 29 no. 4
Type: Research Article
ISSN: 1355-2554

Keywords

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Article
Publication date: 9 September 2013

Sunhee Kim, Yumi Hwang, Daejin Shin, Chang-Yeal Yang, Seung-Yeun Lee, Jin Kim, Byunggoo Kong, Jio Chung, Namhyun Cho, Ji-Hwan Kim and Minhwa Chung

This paper describes the development process of a mobile Voice User Interface (VUI) for Korean users with dysarthria with currently available speech recognition technology by…

298

Abstract

Purpose

This paper describes the development process of a mobile Voice User Interface (VUI) for Korean users with dysarthria with currently available speech recognition technology by conducting systematic user needs analysis and applying usability testing feedback to prototype system designs.

Design/methodology/approach

Four usability surveys are conducted for the development of the prototype system. According to the two surveys on user needs and user experiences with existing VUI systems at the stage of the prototype design, the target platforms, and target applications are determined. Furthermore, a set of basic words is selected by the prospective users, which enables the system to be not only custom designed for dysarthric speakers but also individualized for each user. Reflecting the requests relating to general usage of the VUI and the UI design preference of users through evaluation of the initial prototype, we develop the final prototype, which is an individualized voice keyboard for mobile devices based on an isolated word recognition engine with word prediction.

Findings

The results of this paper show that target user participation in system development is effective for improving usability and satisfaction of the system, as the system is developed considering various ideas and feedback obtained in each development stage from different prospective users.

Originality/value

We have developed an automatic speech recognition-based mobile VUI system not only custom designed for dysarthric speakers but also individualized for each user, focussing on the usability aspect through four usability surveys. This voice keyboard system has the potential to be an assistive and alternative input method for people with speech impairment, including mild to moderate dysarthria, and people with physical disabilities.

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