Movies in Digital Humanities are often enriched with information by annotating the text e.g. via subtitles. However, we hypothesize that the missing presentation of the multimedia content is disadvantageous for certain annotation types like sentiment annotation. We claim that performing the annotation live during the viewing of the movie is beneficial for the annotation process. We present and evaluate the first version of a novel approach and prototype to perform live sentiment annotation of movies while watching them. The prototype consists of an Arduino microcontroller and a potentiometer which is paired with a slider. We perform an annotation study for five movies receiving sentiment annotations from three annotators each, once via live annotation and once via traditional subtitle annotation to compare the approaches. While the agreement among annotators increases slightly by using live sentiment annotation, the overall experience and subjective effort measured by quantitative post questionnaires improves significantly. The qualitative analysis of post annotation interviews validates these findings.