A New Object Selecting Technique for Visualization of Large Datasets

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Utilizing Technology Acceptance Model (TAM) for driverless car technology

This paper examines the relationship between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology, years of driving experience, age and the intention to use driverless cars. This research is a cross-sectional descriptive correlational study with the Technology Acceptance Model as its theoretical framework. The primary method of data collection was an online survey. Pearson’s correlation and multiple linear regression were used for data analysis. This study found significant, positive relationships between perceived usefulness of driverless car technology, perceived ease of use of driverless car technology and intention to use driverless cars. Also, there were significant, negative relationships between years of driving experience, age and intention to use driverless cars

A systematic review of technology adoption frameworks and their applications

The Technology Acceptance Model and the Theory of Planned Behavior have demonstrated pioneering research efforts within the research domain of innovation adoption concerning new technologies. This study consolidated an in-depth literature review of both theoretical frameworks, covering their roots and development over the years within the scholarly community. Also, we reviewed the applicability of these frameworks within the context of emerging technologies of the information age. After a thorough literature review, we concluded that both frameworks are widely used and applicable to various emerging technologies and continue to remain instrumental in the research domain of innovation adoption

A Novel Framework for Optimizing Indoor Illuminance and Discovering Association of Involved Variables

The associations between various design variables affecting the visual performance of responsive facade systems are investigated in this study. First, we propose a data-driven approach to study practical aspects of illuminance optimization for responsive facades. In this approach, the hourly indoor illuminance data are combined with the location information to generate an objective function. This function is then utilized to evaluate the visual performance of responsive facade systems by matching a variety of facade angle movements to hourly sunshine patterns. Next, statistical tests were deployed to evaluate the role of design variables in different scenarios. The results provide detailed information about the design variables and their effects on visual comfort at 0.05 significant levels. On average, facade angles, facade configurations, facade orientations, and facade locations were significant in 100%, 41%, 87%, and 45% of different possible combinations of scenarios/variables, respectively.This project was funded by the Faculty Investment Program (FIP) Provided by the Vice Pres- ident for Research and Partnership at the University of Oklahoma. Financial support was provided by the University of Oklahoma Libraries’ Open Access Fund.Ye

An interdisciplinary platform for undergraduate research and design projects

Students in the engineering and technology programs are challenged to thoroughly apply their learned technological knowledge and skills toward design and implementation of a challenging engineering project. In this paper, a platform for comprehensive interdisciplinary designs, which utilizes a synergy of competencies gained from undergraduate academic and research experiences with insight to the efforts concerning design project is presented. The platform is based on an interdisciplinary process for design and implementation of various unmanned aerial vehicle systems that involve airframe configurations, propulsion, computing components, camera and vision systems, sensors, actuators, autopilot functions, and data collecting components. This interdisciplinary platform provides students with experience in design, selection, integration, calibration, programming, and applications that require learning and knowledge from various fields of engineering and engineering technology. A number of projects that have been developed based on the platform in an undergraduate unmanned vehicle systems course in an engineering technology program are discussed

Student perceptions of cloud applications effectiveness in higher education

Cloud computing technology use in higher education institutions is rapidly expanding and becoming a more integral part of the collegiate experience. This expansion of the use of cloud applications comes with some significant learning and adoption challenges to the end users along with the technical advantages that allow greater accessibility and ease of use. The influence of individual user perceptions toward these technologies is an issue that merits further investigation. Several technology acceptance models have demonstrated some degree of success in predicting adoption behaviors utilizing individual user traits and beliefs. However, there have been limited investigations of variables after the technology has been implemented and used. This paper focuses on the associations between variables identified in the literature that are considered to be influencing use and perceptions of technology for undergraduate students of technology at a mid-sized university in Southeast Michigan. The results statistically present significant correlations between each measured variable and support the interaction between perceived ease of use, computer anxiety, computer self-efficacy, and internet self-efficacy with the perceived usefulness of cloud applications in a higher education setting