Title

The Effect of Lipstick Color on Perceived Attractiveness

Date

6-1-2017 8:30 AM

End Time

1-6-2017 10:30 AM

Location

WUC Pacific Room

Department

Behavioral Sciences

Session Chair

Jaime Cloud

Session Title

Behavioral Sciences poster Session

Faculty Sponsor(s)

Jaime Cloud

Presentation Type

Poster session

Abstract

The current study investigated the effect three different lipstick colors have on male and female participants’ perception of attractiveness and how the genders’ perceptions compared. It was predicted that (1) participants will perceive red lipstick as most attractive, (2) men will perceive red lipstick to be more attractive than women and (3) lipstick color will have more of an effect on men’s perception of attractiveness. Participants were shown a photo of the same woman in one of three conditions, wearing nude lipstick, pink lipstick, or red lipstick, and asked to rate their opinion of her on six Likert-type scales describing different traits. Scores on the Very Unattractive/Very Attractive scale were recorded. Data will be analyzed using a 2 x 2 Analysis of Variance. Implications of the obtained findings and future directions will be discussed.

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Jun 1st, 8:30 AM Jun 1st, 10:30 AM

The Effect of Lipstick Color on Perceived Attractiveness

WUC Pacific Room

The current study investigated the effect three different lipstick colors have on male and female participants’ perception of attractiveness and how the genders’ perceptions compared. It was predicted that (1) participants will perceive red lipstick as most attractive, (2) men will perceive red lipstick to be more attractive than women and (3) lipstick color will have more of an effect on men’s perception of attractiveness. Participants were shown a photo of the same woman in one of three conditions, wearing nude lipstick, pink lipstick, or red lipstick, and asked to rate their opinion of her on six Likert-type scales describing different traits. Scores on the Very Unattractive/Very Attractive scale were recorded. Data will be analyzed using a 2 x 2 Analysis of Variance. Implications of the obtained findings and future directions will be discussed.