A Study on Deriving Improvements through User Recognition Analysis of Artificial Intelligence Speakers

Recently, artificial intelligence speakers have been used a lot in homes and offices. However, users say that it is an automated speaker, not speaker. Regression analysis was performed by applying the Value-Based Acceptance Model (VAM) to see if there are any improvements negative perceptions of mentioned above. As result regression analysis, were needed for convenience security threats, did reach level anthropomorphism such as with humans. In addition, concluded factors positively affect perceived value usefulness enjoyment they somewhat satisfied burden technical difficulties, cost, reliability information. conclusion, should continuously collect various data provide information or suggest choices alternatives through process learning, inference. this study, similar machine simply finds among many connected Internet, plays music, connects site where you can shop non-face-to-face. The rationale being has reached anthropomorphism.