3. Person-in-
Environment
• Environmental Properties
• Visitor (Consumer) Needs
• Intended Atmosphere
Perceived
Atmosphere
Visitor
Responses
• Affective
• Cognitive
• Behavioural
Adapted from Kotler, 1974;
reviewed in Forrest, 2013
A Model for “Museum Atmospherics”
4. Build upon existing qualitative research (e.g.
Packer, 2008; Roppola, 2012)
Existing quantitative research has focused
on relating a “good” environment to
marketing-related outcomes (e.g. Bonn et al 2007)
“Good” doesn’t tell a designer much – can
Perceived Atmosphere offer a better snapshot?
5. Qualitative research exploring how visitors
describe exhibition environments
Pilot test terminology as semantic
differentials and Likert scales (n=172)
Refine word list to produce 30 semantic
differentials (7-point scales) e.g. Dark-Light;
Active-Passive; Linear-Winding
Use in visitor survey across four exhibition
galleries at South Australian Museum (n=602)
6. “Measurement of Meaning” (Osgood et al, 1957)
Colour emotion research
◦ Activity, Potency, Temperature
Retail lighting design – “atmosphere metrics”
◦ Cosiness, Liveliness
8. Vibrancy
◦ Dramatic, Active, Vibrant, Striking, Dynamic, Colourful,
Energetic, Three-Dimensional
Spatiality
◦ Wide, Spacious, Open, Uncluttered
(the variable formerly known as) Modernity (Theatricality?)
◦ Winding, Modern, Asymmetrical, Targeted Lighting, Dark,
New
Order
◦ Ordered, Organised, Structured, Flowing
9. No gender difference besides a slightly higher
spatiality rating from females
Perceptions of vibrancy increase (a bit) with
age
No apparent differences according to visiting
group, history of visiting SA Museum or
reason for visiting
16. Quick and easy to administer
A “macro” perception of the exhibition
environment that is content-neutral
A visitor-centric way of comparing,
benchmarking and evaluating exhibition
environments