Kazuo Nose

Behavior Analysis of Video Hosting Website Users Based on an Extended Technology Acceptance Model

This paper shows an analysis why students use online video hosting services. Based on the Technology Acceptance Model (TAM), a hypothesis model for video hosting website users was designed. The hypothesis model incorporates social influence, flow experience, comfortable communication, and advertisement interference into the basic TAM. A questionnaire was given to about 350 students. Behaviors of online video hosting website users were analyzed with correlation analysis and structural equation modeling.

SOM BASED PARTICLE MATCHING FOR VOLUMETRIC PARTICLE TRACKING VELOCIMETRY

Novel 3D image analysis and particle matching techniques for the use in the volumetric particle tracking velocimetry have been developed and tested by using synthetic images and experimental images of unsteady 3D flows. A tomography based particle reconstruction scheme along with the subsequent process of individual particle detection and validation was used. The detected particles in the two time differential samples are matched by using Self Organising Map (SOM) neural network scheme. SOM neural network tracking algorithm is highly adaptive to time differential tracking even with loss-of-pair particles. The particle location and velocity results of the present new approach turned out accurate, reliable and robust in comparison to the conventional 3D PTV approaches.

An Empirical Study of an Extended Technology Acceptance Model for Online Video Services

This paper is a survey report about why students use online video services. Based on the Technology Acceptance Model (TAM), a hypothesis model for online video services users was designed. The hypothesis model incorporates social influence, flow experience, comfortable communication, and advertisement interference into the basic TAM. With a questionnaire given to about 350 students, behaviors of online video service users were analyzed.

Decision Making Model for Online Music Service Users

This paper describes a consumer behavior model for online shopping, especially online music services, because they are the most popular online shopping service in Japan. Based on Howard’s consumer decision model, questionnaires about decision making for online music services were given to 282 students. The questionnaire results show that almost 90% of respondents have downloaded from online music services, and high school students use such services slightly more than university students. This paper analyzes the questionnaire results by structure equation modeling and examines the relationships between the factors in Howard’s model.