International Journal of Social and Humanistic Computing (6 papers in press)
Exploring Taiwanese smartphone user intention: An integrated model of Technology Acceptance Model and Information System Successful Model
by Ching-Hsue Cheng, Chung-Hsi Chen, You-Shyang Chen, Ho-Long Guo
Abstract: The study is focused on behavioral intentions of smartphone users, and theses are based on information system success model (ISSM) and technology acceptance model. In this study, we use SEM to examine the model that includes dimensions and relevant variables. The dimensions of model include information quality, system quality, service quality, perceived ease of use, perceived usefulness, attitude and behavioral intentions. The results indicate that there are no differences between perceived usefulness and information quality, system quality, and there is also no difference between perceived ease of use and behavioral intentions. In addition to above hypotheses the other are all supported among these hypotheses. We found the most indirect variable affect the behavioral intentions is system quality. This means that system quality is the most important factor to affect smartphone system. We also found that perceived ease of use is very important for smartphone users, and if the smartphone systems are not easy to use, they would not be accepted by people.
Keywords: Smartphone; Information system success model (ISSM); Technology acceptance model (TAM); Behavioral intention (BI).
Causal relation extraction and network construction of web events
by Qichen Ma
Abstract: The explosive increase of news data on the web has created a mass of causal knowledge, which explains the causal relation between two events that effect event will occur following the occurrence of cause event. Analysis of causal knowledge has gain lots of attentions due to its widespread applications, such as question answering, event prediction, generating future scenarios, and commonsense causal reasoning. However, few work analyzes the causal knowledge in a particular domain. Therefore, we extract causal relation and build network of causal events in food domain. First, we propose a method to obtain complete cue phrases and present four common causal patterns to extract causal relations. And then we merge the same events by similarity calculation of causal events. At last, a network of causal events is constructed. Experiments on the datasets show the effectiveness of the proposed approach.
Keywords: causality knowledge; causal relation extraction; causality network.
Context-Sensitive Smart Devices Definition and a Functional Taxonomy
by Ramnath Krishnan Pallasena, Mayank Sharma, Venkataraghavan Krishnaswamy
Abstract: Smart devices are no longer fashionable artifacts but have found mainstream adoption. Smart devices help humans by being context-sensitive, run errands or execute tasks and support their daily operations. This paper defines these context-sensitive smart devices (CSSD). We review the context and context sensitivity exhibited by mobile phones and smart devices. We further discuss the functionality of these smart devices and provide a functional taxonomy classification. This functional taxonomy could act as a framework in the design and development of CSSD. We illustrate the application of the functional taxonomy in different contexts, bringing out the characteristics, challenges, and applications in each context.
Keywords: Smart devices; Context-aware systems; Context-sensitivity; Taxonomy classification.
Image-based Human Sperm Counting Method
by Hyun-Mo Yang, Dong-Woo Lim, Yong-Sik Choi, Jin-Gu Kang, In-Hwan Kim, Ailing Lin, Jin-Woo Jung
Abstract: Modern people have a great interest in health, but most people are less interested in their sperm health than other body conditions. In this paper, we propose a method to measure the average number of sperms through a sperm image sequence captured by a smartphone with a small microscope lens so that the image acquisition could be easily performed. In order to distinguish between noise and sperm in the photographed sperm image, sperms are searched by using difference image based on the assumption that sperms are always moving. In addition, the number of detected sperms is measured and tested based on the WHO criteria. Experimental results show the effective of the proposed method.
Keywords: Sperm Count; Microscopic Image; Image Processing.
Analysis of pulse diagnosis data for the elderly by using two analytical methods
by Siyu Zhou, Zhiwei Leng, Atsushi Ogihara, Qun Jin, Shoji Nishimura
Abstract: The use of information and communication technology (ICT) to analyze pulse diagnosis data has become one of the pathways of modernizing Traditional Chinese Medicine (TCM). In this study, we used two methods of medical statistics and machine learning to analyze diagnosis data. We used the Youden index to evaluate the authenticity of the diagnosis and the Kappa statistic to evaluate the consistency of the diagnosis made by the pulse diagnosis instrument and the TCM doctor. The accuracy of a single pulse was almost 80%. The authenticity and consistency were acceptable. The k-NN method was used to match the diagnosis results of the pulse diagnosis instrument and the TCM doctor. The overall accuracy rate was 62%, similar to that in previous studies. In practice, medical statistical methods (Youden index and Kappa statistic) are used to determine the accuracy of a single pulse, and machine learning methods (k-NN method) are used to classify pulse matching.
Keywords: pulse diagnosis; data analysis; TCM; k-NN; Youden index.
The Research on the Professional Development of Information Technology Teachers Based on the Implementation of Flipped Classroom Teaching Model
by Dongmei Zhao, Xiaofan Liang
Abstract: With the rapid development of science and technology, human society has entered a new era of knowledge innovation and the cultivation of students information literacy has received increasing attention of researchers.
Keywords: basic computer courses in academy;SPOC;flipped classroom;information technology teacher;professional development studies.