About cookies on this site Our websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising. For more information, please review your options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.
Conference paper
Nostalgia: A human-machine transliteration
Abstract
Nostalgia is an installation that draws attention to the computational challenges of understanding human emotion. Through affective computing and machine learning, the underlying system attempts to translate the components of the sentiment's qualitative makeup in quantitative terms. In Nostalgia, participants are asked to submit text-based memories, which are then used to calculate, predict and ultimately visualize relative nostalgia scores based on the aggregate of stories collected. However, given the ambiguities and complexity of human self-expression and the necessary precision of computational intelligence, Nostalgia highlights the entanglements of achieving emotional understanding between humans and machines.