Personality and Romantic Attraction

Gerlach, Tanja M.; Reinhard, Selina K.

doi:10.1007/978-3-319-28099-8_717-2

Cited by 5 publications

(19 citation statements)

References 23 publications

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“…The induction rate of IRA has been reported to be quite low (only a few percent) (Zsok et al, 2017), the IRA induction rate should be increased to obtain enough data to train the model . Numerous studies have shown that physical attractiveness is a good predictor of a an individual's popularity (i.e., probability of being selected by the opposite sex) with the opposite sex (Asendorpf et al, 2011;Olderbak et al, 2017;Gerlach and Reinhard, 2018;. Therefore, in this study, we planned to increase the average induction rate of IRA by increasing the proportion of stimuli with high physical attractiveness .…”

Section: Methodsmentioning

confidence: 99%

“…The participants were then asked to assess their romantic interest toward the potential partner based on the question, "How much would you like to date this person?" on a four-point rating scale (0 = not at all; 1 = little; 2 = somewhat; 4 = very much) (Finkel et al, 2007;Cooper et al, 2012;Gerlach and Reinhard, 2018;. Thereafter, they were asked, "Have you ever seen the person in the photograph before?"…”

Section: Methodsmentioning

confidence: 99%

“…According to the score for "How much would you like to date this person?, " the EEG epochs were divided into IRA engendered and IRA un-engendered (Fisher et al, 2005;Gerlach and Reinhard, 2018;. The IRA engendered category comprised the epochs in which the participants rated their IRA for the potential partners as 3 (very much) or 2 (somewhat).…”

Section: Data Acquisition and Processingmentioning

confidence: 99%

“…The essence of initial romantic attraction (IRA) is a series of positive responses to potential ideal partners based on individual preferences, including positive emotional responses (such as feelings of exhilaration and craving for emotional union) (Fisher, 1998;Fisher et al, 2002Fisher et al, , 2005Gerlach and Reinhard, 2018;. An individual's internal emotional reaction can be revealed not only through subjective self-reports but also through internal expression (i.e., physiological signals) (Gunes et al, 2011;Alarcao and Fonseca, 2019).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction

Yuan

Liu

2022

Front. Neurosci.

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Initial romantic attraction (IRA) refers to a series of positive reactions toward potential ideal partners based on individual preferences; its evolutionary value lies in facilitating mate selection. Although the EEG activities associated with IRA have been preliminarily understood; however, it remains unclear whether IRA can be recognized based on EEG activity. To clarify this, we simulated a dating platform similar to Tinder. Participants were asked to imagine that they were using the simulated dating platform to choose the ideal potential partner. Their brain electrical signals were recorded as they viewed photos of each potential partner and simultaneously assessed their initial romantic attraction in that potential partner through self-reported scale responses. Thereafter, the preprocessed EEG signals were decomposed into power-related features of different frequency bands using a wavelet transform approach. In addition to the power spectral features, feature extraction also accounted for the physiological parameters related to hemispheric asymmetries. Classification was performed by employing a random forest classifier, and the signals were divided into two categories: IRA engendered and IRA un-engendered. Based on the results of the 10-fold cross-validation, the best classification accuracy 85.2% (SD = 0.02) was achieved using feature vectors, mainly including the asymmetry features in alpha (8–13 Hz), beta (13–30 Hz), and theta (4–8 Hz) rhythms. The results of this study provide early evidence for EEG-based mate preference recognition and pave the way for the development of EEG-based romantic-matching systems.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Data Acquisition and Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Is Mate Preference Recognizable Based on Electroencephalogram Signals? Machine Learning Applied to Initial Romantic Attraction

Yuan

Liu

2022

Front. Neurosci.

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“…Attraction to a person during an initial encounter is generally the first step or the initial motivation to develop a romantic relationship (Gerlach & Reinhard, 2018; Olderbak, Malter, Wolf, Jones, & Figueredo, 2017). This attraction has inconsistently been referred to as romantic attraction (Asendorpf, Penke, & Back, 2011; Fisher, Aron, Mashek, Li, & Brown, 2002; Gerlach & Reinhard, 2018), initial attraction (Olderbak et al, 2017), initial romantic attraction (IRA; Finkel, Eastwick, & Matthews, 2007), romantic interest at zero acquaintance (Asendorpf et al, 2011), and love at first sight (Grant‐Jacob, 2016; Zsok, Haucke, De Wit, & Barelds, 2017). Here, the term IRA is used to describe this attraction.…”

Section: Introductionmentioning

confidence: 99%

Mate preference and brain oscillations: Initial romantic attraction is associated with decreases in alpha‐ and lower beta‐band power

Yuan

Liu

2021

Human Brain Mapping

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Initial romantic attraction (IRA) refers to a series of positive reactions (such as feelings of exhilaration and compulsive thinking) toward desirable potential partners, usually at initial or early‐stage encounters when no close relationship has yet been established. After decades of effort, the evolutionary value and key characteristics of IRA are well understood. However, the brain mechanisms associated with IRA are unclear. To address this question, we simulated a mate selection platform similar to that of Tinder. When participants assessed their romantic interest in potential partners on the platform, their electroencephalogram (EEG) signals were recorded in real time. The behavioral data demonstrated that IRA to ideal potential partners mainly reflects the dimensions of arousal and domination. The main study finding was that processing of the individual preference faces that resulted in IRA was associated with a decrease in power in the alpha and lower beta bands over the posterior and anterior sensor clusters; this occurred between 870 and 2,000 ms post‐stimulus. Key findings regarding event‐related potentials (ERPs) sensitive to individual stimuli preferences were replicated. The results support the hypothesis that brain oscillations in the alpha and lower beta range may reflect modulation in cortical activity associated with individual mate preferences.

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