Sensitive Pictures: Emotional Interpretation in the Museum

要旨

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 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.

著者
Steve Benford
University of Nottingham, Nottingham, United Kingdom
Anders Sundnes. Løvlie
IT University of Copenhagen, Copenhagen, Denmark
Karin Ryding
IT University, Copenhagen, Denmark
Paulina Rajkowska
Uppsala University, Uppsala, Sweden
Edgar Bodiaj
University of Nottingham, Nottingham, United Kingdom
Dimitrios Paris. Darzentas
University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
Harriet R. Cameron
University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
Jocelyn Spence
University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
Joy Egede
University of Nottingham, Nottingham, United Kingdom
Bogdan Spanjevic
NextGame, Belgrade, Serbia and Montenegro
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3502080

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Design for Wellbeing and Resilience

290
5 件の発表
2022-05-04 23:15:00
2022-05-05 00:30:00