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

Antonio Lieto, Manuel STRIANI, Cristina Gena, Enrico Dolza, Anna Maria Marras, Gian Luca Pozzato, Rossana Damiano

Risultato della ricerca: Contributo su rivistaArticolo in rivistapeer review

Abstract

This article presents an affective-based sensemaking system for grouping and suggesting stories created by the users about the cultural artefacts in a museum. By relying on the TCL commonsense reasoning framework, the system exploits the spatial structure of the Plutchik’s “wheel of emotions” to organize the stories according to their extracted emotions. The process of emotion extraction, reasoning, and suggestion is triggered by an app, called GAMGame, and integrated with the sensemaking engine. Following the framework of Citizen Curation, the system allows classifying and suggesting stories encompassing cultural items able to evoke not only the very same emotions of already experienced or preferred museum objects but also novel items sharing different emotional stances and, therefore, able to break the filter bubble effect and open the users’ view toward more inclusive and empathy-based interpretations of cultural content. The system has been designed tested, in the context of the H2020EU SPICE project (Social cohesion, Participation, and Inclusion through Cultural Engagement), in cooperation with the community of the d/Deaf and on the collection of the Gallery of Modern Art (GAM) in Turin. We describe the user-centered design process of the web app and of its components and we report the results concerning the effectiveness of the diversity-seeking, affective-driven, recommendations of stories.
Lingua originaleInglese
pagine (da-a)109-143
Numero di pagine35
RivistaINTERNATIONAL JOURNAL OF HUMAN COMPUTER INTERACTION
Volume39
Numero di pubblicazione1-2
DOI
Stato di pubblicazionePubblicato - 2024

Keywords

  • Story-based recommendations
  • affective computing
  • commonsense reasoning
  • diversity-seeking emotional recommendations
  • recommender systems

Fingerprint

Entra nei temi di ricerca di 'A sensemaking system for grouping and suggesting stories from multiple affective viewpoints in museums'. Insieme formano una fingerprint unica.

Cita questo