Examining the effects of mood on quality and feasibility of design outcomes

ABSTRACT

This study examines the correlation between quality and feasibility of generated design solutions with mood and rational vs. intuitive thinking. It was hypothesized that positive moods lead to better intuitive thinking, which will result in higher design quality and feasibility. The participants, who were junior and senior level undergraduate students with a design background, were given the 32-point Brunel Mood Scale (BRUMS) before solving nine 7-min design tasks in a manner that cultivated either analytical or intuitive thinking. Cronbach’s alpha was used to confirm the reliability and consistency of the self-reported mood data. Spearman’s correlation was used to illustrate the mood–performance relationship, revealing that high design solution quality is significantly positively correlated with vigor and energetic mood in the Creative Intuition (CI) condition, and downhearted mood in the Problem Solving Intuition condition, while significantly negatively correlated with depression, worn-out and bad-tempered moods in the CI condition. High design solution feasibility was positively correlated with an exhausted mood in the Rational Thinking condition, and negatively correlated with composed and relaxed moods in the CI condition. These findings help further the understanding of how mood impacts design outcomes in intuitive and analytical problem solving, which may have implications design practice.

KEYWORDS:

• Mood
• design outcomes
• intuition
• design cognition

Acknowledgments

The authors would like to thank the students for their voluntary participation in this study. This work is supported by the NSF GRFP Georgia Tech grant number DGE-1650044. Any opinions, findings, conclusions, and recommendations expressed in this material are those of the authors, and do not necessarily reflect the views of the National Science Foundation.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the Division of Graduate Education [DGE-1650044].