scholarly journals Exploration of Action Figure Appeals Using Evaluation Grid Method and Quantification Theory Type I

2017 ◽  
Vol 13 (5) ◽  
Author(s):  
Hung-Yuan Chen ◽  
Hua-Cheng Chang
Keyword(s):  
Grid Method ◽  
Type I ◽  
Quantification Theory

scholarly journals Study on the Attractiveness Factors of Online Courses

2019 ◽  
Vol 9 (2) ◽  
pp. 128 ◽  
Author(s):  
Jia-Xuan Han ◽  
Min-Yuan Ma
Keyword(s):  
Online Teaching ◽  
Online Courses ◽  
Rapid Development ◽  
Grid Method ◽  
Type I ◽  
Digital Learning ◽  
Key Factors ◽  
Quantification Theory ◽  
Global Trend ◽  
Education Industry

With the rapid development of online courses, digital learning has become a global trend. In this context, this study analyzed the high intake population of online courses for online affective cognition, and explored what the user’s attraction factors for online courses are. The key factors that affect consumers’ usage of online courses and the weights of impact relations are presented, aiming to provide guidance for future improvement of online courses. This study was conducted through the evaluation grid method of Miryoku engineering. In order to make the charm factors more accurate and representative, this study summarized the charm elements using the Kawakita Jiro (KJ) method, and then quantified the factors in the form of a questionnaire. Through the statistical analysis of the questionnaire and quantification theory type I, the correlation between the charm feeling and the online course as well as the weight of each item (original evaluation item) and category (specific evaluation item) were calculated. Through the research and discussion on the charm factors of online teaching, the results analyzed and integrated in this paper could give more substantive suggestions and help to the education industry.

scholarly journals Measuring the appeal of mobility-augmented reality games, based on the innovative models of interaction: a case study

2019 ◽  
Vol 1 (12) ◽  
Author(s):  
Kai-Shuan Shen
Keyword(s):  
Augmented Reality ◽  
Human Computer Interaction ◽  
Interaction Model ◽  
Grid Method ◽  
Online Marketing ◽  
Type I ◽  
Quantification Theory ◽  
Pokémon Go ◽  
Design Characteristics ◽  
Computer Interaction

AbstractThis study presents the issues why gamers prefer mobility-augmented reality games to other types of game and what specific characteristics cause them to invest a large amount of their time on tireless game-play. Furthermore, the appeal of mobility-augmented reality games was studied to solve the above mentioned issues. Then, how human–computer interaction based on mobility-augmented reality games was promoted to create a new marketing mode was explored. Then, Pokémon GO, as the worldwide major mobility-augmented reality game, was selected as the research target in this study. The researcher interviewed 9 experts, collected 235 Knasei words from 33 articles, and surveyed 335 gamers through a questionnaire to collect the data about users’ preferences. A preference-based study was believed to disclose the motivated reasons for the appeal of mobility-augmented reality games. The researcher analyzed the gathered Kansei concepts and questionnaires using the two-stage procedures, including evaluation grid method (EGM) and Quantification Theory Type I. During the first stage the hierarchy of the relationship among the types of appeal factors, the reasons for users’ preferences, and the explicit design characteristics of Pokémon GO present the semantic structure of appeal and were determined using EGM through the accumulation of the review of articles and the interviews of experts. During the second stage the strongest two original evaluation items of Pokémon GO are determined as “social interaction” and “scenario interaction” based on the statistical analysis of Quantification Theory Type I, and their corresponding “upper-level” and “lower-level” considerations are proved to have influence on them. Finally, the paper found that the popularity of Pokémon GO can be ascribed to the design of the innovative models of game interaction, which targets the psychological preferences of gamers. This means that the interaction model between a customer and an enterprise can be developed outside the box and a new type of marketing can be formed. The study proved that the innovative models of interaction successfully drove gamers’ motivations to play Pokémon GO. Designers and researchers of mobility-augmented reality games can absorb important information through this study. This study enriches the field of mobile communication, online marketing, and human–computer interaction in cyberspace.

scholarly journals Research on Optimized Product Image Design Integrated Decision System Based on Kansei Engineering

2020 ◽  
Vol 10 (4) ◽  
pp. 1198 ◽  
Author(s):  
Lei Xue ◽  
Xiao Yi ◽  
Ye Zhang
Keyword(s):  
Decision Model ◽  
Type I ◽  
Design Decision ◽  
Kansei Engineering ◽  
Decision System ◽  
Meaningful Improvement ◽  
Quantification Theory ◽  
Design Elements ◽  
Product Image ◽  
Qualitative Decision

In order to facilitate the development of product image design, the research proposes the optimized product image design integrated decision system based on Kansei Engineering experiment. The system consists of two sub-models, namely product image design qualitative decision model and quantitative decision model. Firstly, using the product image design qualitative decision model, the influential design elements for the product image are identified based on Quantification Theory Type I. Secondly, the quantitative decision model is utilized to predict the product total image. Grey Relation Analysis (GRA)–Fuzzy logic sub-models of influential design elements are built up separately. After that, utility optimization model is applied to obtain the multi-objective product image. Finally, the product image design integrated decision system is completed to optimize the product image design in the process of product design. A case study of train seat design is given to demonstrate the analysis results. The train seat image design integrated decision system is constructed to determine the product image. This shows the proposed system is effective and for predicting and evaluating the product image. The results provide meaningful improvement for product image design decision.

scholarly journals FUZZY QUANTIFICATION THEORY TYPE I

1983 ◽  
Vol 11 (1) ◽  
pp. 66-73 ◽  
Author(s):  
Junzo WATADA ◽  
Hideo TANAKA ◽  
Kiyoji ASAI
Keyword(s):  
Type I ◽  
Quantification Theory

scholarly journals A multivariate statistical method for susceptibility analysis of the debris flow in Southwest China

2019 ◽  
Author(s):  
Feng Ji ◽  
Zili Dai
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Loose Material ◽  
Southwest China ◽  
Quantitative Prediction ◽  
The Tibetan Plateau ◽  
Type I ◽  
Quantification Theory ◽  
Susceptibility Analysis ◽  
Dadu River

Abstract. Southwest China is characterized by many steep mountains and deep valleys due to the uplift activity of the Tibetan Plateau. The 2008 Wenchuan Earthquake left large amounts of loose materials in this area, making it a severe disaster zone in terms of debris flow. Susceptibility is a significant factor of debris flow for evaluating its formation and impact. Therefore, it is in urgent need to analyze the susceptibility of debris flows in this area. At present, the susceptibility analysis models of the debris flow in Southwest China is mainly based on qualitative methods. Little quantitative prediction model is found in the literature. This study evaluates 70 typical debris flow gullies as statistical samples, which are distributed along the Brahmaputra River, Nujiang River, Yalong River, Dadu River, and Ming River respectively. Nine indexes are chosen to construct a factor index system and then to evaluate the susceptibility of debris flow. They are the catchment area, longitudinal grade, average gradient of the slope on both sides of the gully, catchment morphology, valley slope orientation, loose material reserves, location of the main loose material, antecedent precipitation, and rainfall intensity. Then, an empirical model based on the quantification theory type I is established for the susceptibility prediction of debris flows in Southwest China. Finally, 10 debris flow gullies on the upstream of the Dadu River are analyzed to verify the reliability of the proposed model. The results show that the accuracy of the statistical model is 90 %.

scholarly journals Constructing an Evaluation Model for User Experience in an Unmanned Store

2019 ◽  
Vol 11 (18) ◽  
pp. 4965 ◽  
Author(s):  
Lo ◽  
Wang
Keyword(s):  
User Experience ◽  
Evaluation Model ◽  
Three Dimensions ◽  
Type I ◽  
Quantification Theory ◽  
Study Approach ◽  
Experience Marketing ◽  
Starting Point ◽  
Innovative Products ◽  
Limited Edition

Traditional stores feature three characteristics: the goods, convenience, and the service provided to its customers (users). Due to the development of the online/offline omni channel consumption model, the starting point for supplying the user with services is no longer the time at which a user arrives at the store door. Instead, it is expected that services can be merged seamlessly into users’ lives at any point in time. Convenience and quality of service can be maximized and optimized via any medium or device. Therefore, in light of the foreseen commercial requirements of the supply end, we introduce a strategy for implementing intelligent equipment in order to achieve the goals of enhanced efficiency and reduced manpower. We investigate the possibility of traditional stores being replaced by other types of convenient store. This study investigates the experience evaluation of unmanned stores with respect to three dimensions: the economic experience, marketing experience, and qualia experience. A case study approach is implemented in this study. The goal is to investigate the course of the user experience in the X-Store, which was founded by the Uni-President Enterprises Corporation in Taiwan. By determining the relationship between users’ interactions with tangible and intangible objects, it is possible to understand the reasons behind the insufficiency in a bad user experience. It is then possible to deal with the insufficiency represented by an intangible service guidance interface, rather than the single and tangible factor of there being no clerks. Finally, a type I quantification theory is applied to the quantification of qualitative data. It is known that the elements corresponding to higher user ratings include, respectively, entertaining setting, positive sensory experience, and innovative products or facilities. The most representative factors for these elements include an interactive drinks cabinet, a futuristic layout, and facial recognition. In contrast, the elements of lower satisfaction level include a setting far from feelings of hustle and bustle, the experience of being introduced to new ideas (thinking), and facilities that are easy to operate. The most representative factors behind these elements include being unable to perform immersive shopping, there being no memory of limited-edition souvenirs, and apps that are not good to use. The contributions of this study are twofold. Firstly, we provide an evaluation of user experience for the first unmanned store in Taiwan, along with a subsequent ranking of the factors. This could provide companies with a reference for either maintaining or improving upon their current state. Secondly, we analyzed the five-stage experience activities for the embodiment of the interactive relationship between users and other people who were analyzed. Any follow-up changes to user influence can be traced back by means of this approach.

Landscape Quality Evaluation on Scenic and Recreational Forest of Pinus tabulaeformis in Beijing Xi Mountain

2012 ◽  
Vol 518-523 ◽  
pp. 5281-5284
Author(s):  
Guang Yuan Huang ◽  
Cheng Yang Xu ◽  
Lan Gong ◽  
Bin Mao ◽  
Jie Fang Zhu
Keyword(s):  
Pinus Tabulaeformis ◽  
Average Height ◽  
Type I ◽  
Quantification Theory ◽  
Canopy Density ◽  
Scenic Beauty ◽  
Management Measures ◽  
Dead Branch ◽  
Recreation Opportunities ◽  
Landscape Quality

With the development of the world, public demands for recreation opportunities and scenic beauty of forest have risen substantially in recent decades. Providing recreation activities is one of most important function of forest. The Scenic Beauty Model was established to predict landscape quality, the results were obtained by using Quantification Theory Type I for multiple regression models. The variables in the model of contribution rate can be seen, shrub coverage has the greatest influence in landscape quality, the following variables were canopy density, average height of first alive branches, noticeability of dead branch et al. Then management measures were put forward. It is important for managers in better understanding the interactions between scenic beauty and other forest attributes, has an important role in construction of scenic and recreational forest.

scholarly journals A multivariate statistical method for susceptibility analysis of debris flow in southwestern China

2020 ◽  
Vol 20 (5) ◽  
pp. 1321-1334
Author(s):  
Feng Ji ◽  
Zili Dai ◽  
Renjie Li
Keyword(s):  
Debris Flow ◽  
Debris Flows ◽  
Loose Material ◽  
Southwestern China ◽  
The Tibetan Plateau ◽  
Type I ◽  
Quantification Theory ◽  
2008 Wenchuan Earthquake ◽  
Antecedent Precipitation ◽  
Dadu River

Abstract. Southwestern China is characterized by many steep mountains and deep valleys due to the uplift activity of the Tibetan Plateau. The 2008 Wenchuan earthquake left large amounts of loose materials in this area, making it a severe disaster zone in terms of debris flow. Susceptibility is a significant factor of debris flows for evaluating their formation and impact. Therefore, there is an urgent need to analyze the susceptibility to debris flows of this area. To quantitatively predict the susceptibility of the area to debris flows, this study evaluates 70 typical debris flow gullies, which are distributed along the Brahmaputra River, Nujiang River, Yalong River, Dadu River, and Ming River, as statistical samples. Nine indexes are chosen to construct a factor index system and then to evaluate the susceptibility to debris flow. They are the catchment area, longitudinal gradient, average gradient of the slope on both sides of the gully, catchment morphology, valley orientation, loose material reserves, location of the main loose material, antecedent precipitation, and rainfall intensity. Following this, an empirical model based on the Type I quantification theory is established for susceptibility prediction for debris flows in southwestern China. Finally, 10 debris flow gullies upstream of the Dadu River are analyzed to verify the reliability of the proposed model. The results show that the accuracy of the statistical model is 90 %.

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