Over 50% of respondents expressed anxiety about using NCDC overall, although responses varied
In a recent study from Ritsumeikan Asia Pacific University in Japan, the sociocultural elements that influence Generation Z’s acceptance of AI technology are looked at.
The company believes it is essential to undertake a study on emotional AI’s acceptance among Gen Z because they are the generation most susceptible to it.
1,015 Gen Z respondents from 48 different nations and eight distinct continents were surveyed by the researchers for the study.
Over 50% of respondents expressed anxiety about using NCDC overall, although responses varied according to gender, income level, educational level, and religious affiliation.
The sociocultural factors affecting Generation Z’s acceptance of emotional AI technology are examined in a recent study from Ritsumeikan Asia Pacific University in Japan.
Emotional AI, or artificial intelligence that engages with human emotions, is quickly developing to be useful in many applications. However, it is not currently under a good control and does not account for cultural differences. The company believes it is essential to undertake a study on emotional AI’s acceptance among Gen Z because they are the generation most susceptible to it.
Common systems are incorporating more algorithms as a result of improvements in their capacity to recognize and react to human emotions. Emotional AI is made feasible by a process known as “non-conscious data collecting,” or NCDC, in which the algorithm collects data on the user’s speech tones, micro-facial expressions, heart and respiration rates, gestures, and more. These enable the system to determine the user’s mood and adapt the response.
Given the numerous ethical and privacy concerns that emotional AI poses, it is crucial to comprehend how Gen Z feels about it. Generation Z, which accounts for 36% of the labor force globally, is probably the one most vulnerable to emotional AI.
1,015 Gen Z participants from 48 different nations and eight distinct continents were surveyed by the researchers for the study. The use of NCDC by both public and private organizations was a topic of discussion among the attendees. Then, after adjusting for each variable, the impacts of each variable were investigated using Bayesian multilevel analysis.
Overall, the survey found that more than 50% of participants were concerned about using NCDC, but opinions varied by gender, income level, educational attainment, and religious affiliation.