| The thesis studied 7 factors of new technology adoption: performance expectancy, effort expectancy, social influence, facilitating conditions, attitude toward usage, self-efficacy, and anxiety based on previous theories/models: The Reasoned Action, The Acceptance Model, Motivation Model, The Planned Behavior, Model of PC Utilization, Innovation Diffusion Theory, Social Cognitive Theory, and used Intention to Adoption as predict of adoption. The author developed a survey including 34 questions for 8 variabiles based on previous studies. The subjects are mainly students from Tsinghua University. The result shows that performance expectancy and self-efficacy are correlated with adoption of ubiquitous computing.An experiment is conducted based on the survey result to find out the relationship between task information and performance expectancy, task complexity and self-efficacy, and their effects on adoption. Data collection is conducted through online experiment, participants were asked to watch 4 videos edited according to experiment design. The result of the experiment shows that video information does enhance the performance expectancy (5.80 to 6.06) and intention to adoption (5.80 to 6.01) compared to text information. The anxiety of low task complexity (3.33) is higher than the anxiety of middle task complexity (2.94) or high task complexity (2.83). The intention to adoption of low task complexity (5.56) is lower than the intention to adoption of middle task complexity (5.99) or high task complexity (5.96). There are two potential explanations for this result. One is when the task complexity is low, the perceived behavioral control is low, users do care about information security, and the intention to adoption is decreased. Another one is when task complexity is low, the performance expectancy may be lower than middle task complexity or high task complexity, the influence of performance expectancy may cause the low intention to adoption of low task complexity. |
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