Abstract. Programming languages have been studied and developed throughout history of programming. There are lots of different programming languages that are being used in software development, but only core languages are taught in Universities. Programming languages usually have their own syntax, which may differ greatly from each other. Using different programming languages for same task may provoke different emotions in programmers, depending their knowledge on the language.
Research on programming and programming languages have generally focused on technical and exterior aspects. More recently, there has been some research on the programmers and their emotions during the programming tasks. This master’s thesis focuses on latter and aims to provide new information of programmers experienced emotions during the programming tasks by using EMG-recordings. This master thesis’ main study focus is in psychophysiology, which combines psychology to physiological research, by finding correlation between physiological activity and emotional phenomenon.
This study assessed university students experienced emotions when conducting programming tasks with C and Python programming languages. EMG measurement device was used on the test participants to record signal data from facial based muscles for smiling and frowning activity, which are linked to positive and negative emotions.
This study’s results showed small differences with emotional experiences during the programming tasks, but the overall results were not statistically significant. Therefore, more research on this topic is needed for more consistent results. Additionally, this research has provided guidelines on how EMG studies are conducted on laboratory setting and suggestions for future studies
