Research on user acceptance behaviour of mobile group intelligent sensing applications based on UTAUT

In the era of rapid development of the internet of things, group intelligence perception technology is widely used in various mobile APPs such as QQ, Alipay, Baidu map, etc. User's participation behaviour is a key factor in the system service quality and development. According to the analysis of the characteristics of group intelligence perception and the application development of mobile group intelligent sensing applications, we add the perceived trust, user acceptance and task technology matching to construct the UTAUT seven-factor model. Through the empirical test of 341 valid questionnaires collected in the survey, the results show that convenience conditions, perceived trust, performance expectations, effort expectations and task technology matching have a significant impact on users' willingness to adopt. Finally, based on the experimental results, we propose effective countermeasures and suggestions for the development of mobile group intelligent sensing applications.