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Sensitive Pictures: Emotional Interpretation in the Museum

Benford, Steve David; Sundnes Løvlie, Anders; Ryding, Karin; Rajkowska, Paulina; Bodiaj, Edgar; Paris Darzentas, Dimitrios; Cameron, Harriet; Spence, Jocelyn; Egede, Joy; Spanjevic, Bogdan


Steve David Benford

Anders Sundnes Løvlie

Karin Ryding

Paulina Rajkowska

Edgar Bodiaj

Harriet Cameron

Jocelyn Spence

Joy Egede

Bogdan Spanjevic


Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional visitor experience co-created with the Munch art museum. Visitors choose emotions, locate associated paintings in the museum, experience an emotional story while viewing them, and self-report their response. A subsequent interview with a portrayal of the artist employs computer vision to estimate emotional responses from facial expressions. Visitors are given a souvenir postcard visualizing their emotional data. A study of 132 members of the public (39 interviewed) illuminates key themes: designing emotional provocations; capturing emotional responses; engaging visitors with their data; a tendency for them to align their views with the system's interpretation; and integrating these elements into emotional trajectories. We consider how Affective Computing can hold up a mirror to our emotions during Affective Interaction

Presentation Conference Type Conference Paper (Published)
Conference Name CHI '22: CHI Conference on Human Factors in Computing Systems
Start Date Apr 29, 2022
End Date May 5, 2022
Online Publication Date Apr 29, 2022
Publication Date Apr 29, 2022
Deposit Date Dec 6, 2022
Publisher Association for Computing Machinery (ACM)
Book Title CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
ISBN 978-1-4503-9157-3
Public URL