The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Aesthetic package design: A behavioral, neural, and psychological investigation
Abstract
In four experiments, this research sheds light on aesthetic experiences by rigorously investigating behavioral, neural, and psychological properties of package design. We find that aesthetic packages significantly increase the reaction time of consumers' choice responses; that they are chosen over products with well‐known brands in standardized packages, despite higher prices; and that they result in increased activation in the nucleus accumbens and the ventromedial prefrontal cortex, according to functional magnetic resonance imaging (fMRI). The results suggest that reward value plays an important role in aesthetic product experiences. Further, a closer look at psychometric and neuroimaging data finds that a paper‐and‐pencil measure of affective product involvement correlates with aesthetic product experiences in the brain. Implications for future aesthetics research, package designers, and product managers are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Deciding advantageously before knowing the advantageous strategy
Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997) · Science · doi:10.1126/science.275.5304.1293 · Cited by 3,547
Arnheim, R. (1974) · doi:10.1525/9780520351271 · Cited by 1,997
Reward value of attractiveness and gaze
Kampe, K. K. W., Frith, C. D., Dolan, R. J., & Frith, U. (2001) · Nature · doi:10.1038/35098149 · Cited by 475
Cited by
Higuera-Trujillo, J. L., López-Tarruella Maldonado, J., & Llinares Millán, C. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.05.006 · Cited by 299
Metadata
- Authors
- Reimann, M., Zaichkowsky, J., Neuhaus, C., Bender, T., & Weber, B.
- Venue
- Journal of Consumer Psychology
- Publisher
- Wiley
- Published
- 2010-08-24
- Volume
- 20
- Issue
- 4
- Pages
- 431-441
- ISSN
- 1057-7408 (ISSN-L)
- 1532-7663
- OpenAlex
- W2121794826
- Cited by
- 488
- References
- 3
- FWCI
- 40.67
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Aesthetic package design: A behavioral, neural, and psychological investigation. https://app.cochat.ai/papers/10.1016/j.jcps.2010.06.009
- The paper
- Reimann, M., Zaichkowsky, J., Neuhaus, C., Bender, T., & Weber, B. (2010). Aesthetic package design: A behavioral, neural, and psychological investigation. Journal of Consumer Psychology. https://doi.org/10.1016/j.jcps.2010.06.009
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.