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This article presents an affective based sensemaking system for grouping andsuggesting stories created by the users about the items of a museum. By relyingon the TCL commonsense reasoning framework1, the system exploits the spatialstructure of the Plutchik's wheel of emotions to organize the stories accordingto their extracted emotions. The process of emotion extraction, reasoning andsuggestion is triggered by an app, called GAMGame, and integrated with thesensemaking engine. Following the framework of Citizen Curation, the systemallows classifying and suggesting stories encompassing cultural items able toevoke not only the very same emotions of already experienced or preferredmuseum objects, but also novel items sharing different emotional stances and,therefore, able to break the filter bubble effect and open the users' viewtowards more inclusive and empathy-based interpretations of cultural content.The system has been designed tested, in the context of the H2020EU SPICEproject (Social cohesion, Participation, and Inclusion through CulturalEngagement), in cooperation the community of the d/Deaf and on the collectionof the Gallery of Modern Art (GAM) in Turin. We describe the user centereddesign process of the web app and of its components and we report the resultsconcerning the effectiveness of the of the diversity seeking, affective driven,recommendations of stories.

A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums