DEVELOPMENT OF ARTIFICIAL INTELLIGENCE AND ROBOT TECHNOLOGY PERCEPTION SCALE

OpenAlex English

The Artificial Intelligence and Robot Technology Perception Scale is a measurement tool developed to assess people's perception of risk and functionality related to the said technology. 47-item draft form was applied to a total of 460 volunteer participants. Statistical analysis of the data was performed using IBM SPSS Statistics v26.0 and Lisrel 8.80 programs. According to the EFA result, the developed scale consisted of a 4-factor structure and 26 items, and as a result of Principal Component Analysis scale explained 61.10% of the total variance. The fit indices of the scale were examined with CFA and it was determined that the fit indices of 26 items and the 4-factor structure were at a sufficient level. Within the scope of reliability analysis, Cronbach Alpha internal consistency coefficients were calculated and found to be .89 for general function perception and .93 for general risk perception, and the reliability level of the scale was found to be high. In the analysis of the scale's items, it was determined that the items were highly predictive and discriminative. Upon thorough examination of all statistical data, it has been established that the developed scale is valid and reliable.