This weekend a newsletter from the Master of Management in International Arts Management program caught my eye with a research piece titled Predicting Museum Visitors’ Intention Through Nonverbal Cues.
I was initially pretty excited thinking they were able to predict people’s actual museum visits based on non-verbal cues. What the study actually found was that there was a correlation between a person’s facial expression and their expressed intention to visit a museum or gallery.
Essentially, they showed people an image from the websites of various museums covering a range of artistic categories for 18 seconds, then showed a blank screen for three seconds as something of a palate cleanser and then moved on to the next image. They used a facial scanning software to evaluate the emotional intensity of joy people exhibited. They asked participants to give a thumbs up or thumbs down to indicate whether they had an intention to visit or not.
I was generally skeptical about the validity of the study in terms of sample size and other design elements so it is probably no surprise that was most interesting to me was their statement that demographic traits and inclination to participate in arts experiences generally determined the degree of facial expressions of joy people exhibited.
The effect is significant for visitors displaying moderate to high joy expressions but becomes insignificant at extreme levels. This distribution suggests that emotion primarily influences visit intention when individuals are in a moderate position, while it loses its predictive power when visitors are either highly disinclined or highly inclined to visit.
The analysis of individual factors also reveals disparities. The influence of emotion decreases with age, suggesting that young adults are more likely to base their decisions on immediate affective reactions, whereas working-age adults consider additional factors. Similarly, the effect of intensity of joy expression is more pronounced in women than in men, reflecting a heightened sensitivity to emotional experiences in cultural choices. Finally, differences observed based on cultural background indicate that facial joy expression does not have the same predictive power across cultural groups: it is a strong predictor for European visitors and a moderate predictor for Maghrebi visitors, but it does not significantly predict visit intention for African and Asian populations.
They suggested the facial scan approach as an alternative/completement to surveys and post-visit interviews. This may be something to consider since demographic traits probably factor into a willingness to participate in surveys and interviews. A recorded candid, unguarded response by a visitor who declines to respond to a survey/interview may help to flesh out what a museum knows about its visitors.
The authors suggest that it may help make decisions about how to communicate about the museum. My thought is that they may discover the images they put in promo materials may not be what visitors are responding most to. They suggest that it may help with visitor flow management and staffing decisions.
They also mention “enabling dynamic adaptation of museum pathways” I am not sure what they mean by that, but I envisioned an app redirecting people through different galleries or through the space in a different order based on how they are responding. It might not necessarily be directing people away from art that seems to bore them. It could also involve directing people to galleries that may elicit more neutral response if they appear to be overwhelmed/overstimulated by the art they are seeing and then directing them back after a period of time.
Obviously one of the big concerns they raise as needing to be addressed is the surveillance required to enable any sort of service or evaluation.


Yeah I figured they were either box seats or organ pipes. The design suggested there were actual box seats there…