A twin data-driven approach for user-experience based design innovation

Yang, Bai; Liu, Ying; Chen, Wei

doi:10.1016/j.ijinfomgt.2022.102595

Cited by 15 publications

(7 citation statements)

References 50 publications

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“…The Accuracy is a metric used to evaluate a detection system's performance in correctly identifying instances within a given dataset, categorized as design the user experience. Then the calculation of Accuracy is given in eqn (14). Here, TP denotes true positive, TN signifies true negative, FP symbolizes false positive, FN represents false negative.…”

Section: ) Accuracymentioning

confidence: 99%

“…It is possible that requirements designers are not entirely aware of the early needs for UX software prior to obtaining prototypes. [14].Large datasets in requirements for software remain an important obstacle to cost-effective and quick app creation. Eliminating UX-compliant demands can lead to UX disregard in the end result as well as poor resource planning [15].…”

Section: Introductionmentioning

confidence: 99%

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Software Requirements Engineering and User Experience Design Modeling of Big Data Analysis using Convolution-Bidirectional Temporal Convolutional Network

Xu Yang

2024

jes

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The study of user perception and interaction with applications is referred to as user experience, or UX. The intricacy and versatility of software products, from requirements engineering to product functionality are well recognized. UX evaluations are often depends on prototypes, but it's important to consider the semantics embedded in software requirements to ensure project success. In this manuscript, Software Requirements Engineering and User Experience Design Modeling of Big Data Analysis using Convolution-Bidirectional Temporal Convolutional Network (SRE-UEDM-BDA-CBTCN) is proposed. The input data are collected from Requirements dataset. The collected data are given to the Convolution-Bidirectional Temporal Convolutional Network (CBTCN) to Design Modeling of Big Data Analysis user experience based on the dataset. In general, CBTCN does not express any adaption of optimization techniques for determining the ideal parameters to accurate Design user experience. Hence, African Vultures Optimization Algorithm (AVOA) is proposed in this work to improve the weight parameter of CBTCN. The proposed model is implemented and the efficiency is evaluated utilizing some performance metrics like accuracy, precision, specificity, sensitivity and F1-Score. The proposed SRE-UEDM-BDA-CBTCN method provides 28.46%, 21.34 and 33.81% higher accuracy, 22.88%, 26.52% and 34.63% higher Precision and 28.46%, 21.34 and 33.81% higher specificity compared with the existing techniques like Holistic big data integrated artificial intelligent modeling to improve privacy and safety in data management of smart cities (AIM-BDI-SDM), Exploring the factors that affect user experience in mobile-health applications: A text-mining and machine-learning approach (MHA-UED-MLA) and Towards Measuring User Experience based on Software Requirements (TM-UEB-SR).

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Section: ) Accuracymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Software Requirements Engineering and User Experience Design Modeling of Big Data Analysis using Convolution-Bidirectional Temporal Convolutional Network

Xu Yang

2024

jes

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“…UX refers to the overall impression and idea of the user when directly or indirectly using the system, product, or service (Yoon et al, 2022;Hassenzahl & Tractinsky, 2006). Considering the user's preference, the product or service in question features or functions, and how users interact with them in various situations (Yang et al, 2023). Over time, user experience has become an important part of product and service design (Son & Kim, 2023).…”

Section: User Experience (Ux)mentioning

confidence: 99%

User Experience Enhancement Strategy of LED Desk Lamp Using IPA Model

Zhu,

Mohd Nazar,

Rusman

et al. 2023

E-BPJ

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LED desk lamps are widely used in modern life as one of the lighting products. However, only a few studies focus on the user experience (UX) of LED desk lamps. Therefore, this study adopts the importance-performance analysis (IPA) model, with the aim of exploring strategies to enhance the UX of LED desk lamps. We evaluated the key factors of UX based on the importance and actual performance of LED desk lamps for users. By analyzing the results, we proposed strategies to improve LED desk lamps, thereby potentially improving the consumer experience and market competitiveness of LED desk lamps.

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“…Moreover, as previously highlighted, digital creativity is intricately intertwined with individual learning in digital technologies. Prior research primarily focuses on organizational or team-level performance metrics, encompassing areas such as digital innovation (Chen et al ., 2021; Hevner and Gregor, 2022; Shi et al ., 2023), data-driven innovation (Pietronudo et al ., 2022; Yang et al ., 2023), and big data analytics capabilities (Bahrami and Shokouhyar, 2022; Soluk and Kammerlander, 2021). Nevertheless, the exploration of digital performance at the individual level remains significantly underexplored.…”

Section: Introductionmentioning

confidence: 99%

Linking transformational leadership and digital creativity from the lens of social cognitive theory

Wang,

Shao

2024

IMDS

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PurposeWith the wide usage of digital technologies, employees’ digital creativity serves as a stepping stone in driving the process of organizational digital innovation. However, scant attention has been devoted to understanding the relationship between leadership and employees’ digital creativity within the digital technology usage context. Drawing upon social cognitive theory, our study aims to explore the relationship between transformational leadership and employees’ digital creativity through the mediating roles of creative self-efficacy and ambidextrous learning.Design/methodology/approachA field survey was conducted in China, garnering survey data from 223 employees actively engaged with digital technologies in their daily work. We empirically test the structural equation model to verify the hypotheses.FindingsThe results reveal a positive association between transformational leadership and employees’ digital creativity, with a consequential cascade mediation facilitated through creative self-efficacy and exploitation and exploration.Originality/valueThe empirical research not only enriches comprehension of individual-level digital creativity but also provides valuable practical insights for managers seeking to effectively drive digital innovation within their organizations.

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A twin data-driven approach for user-experience based design innovation

Cited by 15 publications

References 50 publications

Software Requirements Engineering and User Experience Design Modeling of Big Data Analysis using Convolution-Bidirectional Temporal Convolutional Network

Software Requirements Engineering and User Experience Design Modeling of Big Data Analysis using Convolution-Bidirectional Temporal Convolutional Network

User Experience Enhancement Strategy of LED Desk Lamp Using IPA Model

Linking transformational leadership and digital creativity from the lens of social cognitive theory

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