Benoit and colleagues investigated how product type influences responses to retail store options. They determined that in on-the-go situations, “For goods easy to evaluate (search good; can of Coke), a [retail] format’s price level and speed are more important; For goods hard to evaluate (experience good; e.g., salad), quality, variety, atmosphere, and service are more important. . .
Greenery at universities, indoors and out, has positive implications. Researchers presented study participants with digital photographs of “lecture hall[s], classroom[s], study area[s], university outdoor space[s]. For each of the three indoor spaces there were four or five stimuli conditions: (1) the standard design (2) the standard design with a colorful poster (3) the standard design with a nature poster (4) the standard design with a green wall (5) the standard design with a green wall plus interior plants.
Social factors relevant
Levitan, Winfield, and Sherman evaluated responses to representational visual art and found, not surprisingly, that people prefer paintings whose subject matter they like. The Levitan team reports that “Prior research has demonstrated that color preferences are driven by preferences for objects associated with those colors (e.g., that the sky is blue or that feces are brown influences preferences for blue and brown; Palmer & Schloss, 2010). . . .
Controlling without disrupting seems best
Some options are clearly better than others
Miller and Hubner found that individuals are pretty good at determining if other people will like a particular piece of art. The duo reports that “Aesthetic preferences vary strongly between people. Yet, it can be essential to infer what other people aesthetically prefer. Therefore, we investigated lay people’s ability to infer aesthetic preferences. . . . about half of the participants produced a significant medium to high correlation between their other assessments and the mean others′ self-assessment. . . .
Just, Nichols, and Dunn evaluated indoor climates across the United States. They studied “indoor climate data from homes . . . across the USA. We then compared these data to recent global terrestrial climate data (0.5° grid cells, n = 67 420) using a climate dissimilarity index. . . . On average, our study homes were most similar in climate to the outdoor conditions of west central Kenya. . . .
Scaling and contrast investigated
Appel-Meulenbroek and colleagues collected information from workers born into different generatio