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How the gender perception affects the developers ’contact

Abstract and 1 introduction

1.1 Twincode platform

1.2 Experimental studies

1.3 other sex identities and 1.4 paper structure

2 related work

3 original study (Seville December, 2021) and 3.1 participants

3.2 Implementation of the experiment

3.3 factors (independent variables)

3.4 Response variables (dependent variables)

3.5 Erbak variables

3.6 data analysis

4 The first reproduction (Berkeley May, 2022)

4.1 Participants

4.2 Exercise implementation

4.3 Data Analysis

5 Discussion and authority threats and 5.1 The activation of the cause building – treatment

5.2 Activating the structure of influence – standards

5.3 Samples from the population – the participants

6 conclusions and future work

6.1 The symmetrical copies in a different cultural background

6.2 Use Chatbots as partners and coding of the artificial intelligence speech

Data groups and compliance with moral standards, recognition and references

A. The Question Insights No. 1 and #2

for. TWINCODE user development

C. TAG-A-Chat user interface

4.3 Data Analysis

Data analysis was only performed for those topics that are valid according to the same criteria in the original experience. This led to 23 pairs, or 46 valid topics, as mentioned previously in section 4.1.

Table 6 Emergency Schedule of the Sex of the Informed Partner (iPagender) versus the sex of the concerted partner (PPGERDER) in the symmetrical copiesTable 6 Emergency Schedule of the Sex of the Informed Partner (iPagender) versus the sex of the concerted partner (PPGERDER) in the symmetrical copies

4.3.1 The relationship between the inductive and the prepared sex

As in the original experience, the inductive and imagined sex is analyzed in both groups to verify the effectiveness of treatment, especially after changing the sexes and ensuring a sexual message in the upper part of the chat window, as shown in section 4.2.4.

As shown in Table 6, the effectiveness of men/men and women/women was close to 40 % in the symmetrical copies while it was close to 60 % in the original experiment (see Table 4 in Section 3.6.1). Although Cramer’s V Table 6 also showed a major influence (0.530), we applied the same strict standards from the original experience and decided to ignore these topics in the experimental group in which the inductive and imagined sex did not match. As for the subjects in the control group, we kept those who did not look at any sexual personal photo or not remember it. As a result, we kept 22 topics in the control group (10 men, 12 women) but only 9 (3 men, 6 women) in the experimental group.

4.3.2 Analysis between groups

As in the original experience, and in contrast to our research hypothesis, no major differences were noticed in α = 0.05 between control and experimental groups in repetition of any of the response variables 45[11] Described in section 3.4, including CPS. The corresponding Boxplots is photographed in Figure 10.

4.3.3 analysis within the groups

Within the experimental group (see Figure 11 to view the corresponding Boxplots), we conducted the same analysis of the original experience, and to find statistically significant differences in α = 0.05 in the next four response variables when using the sex of the partner (PPGERDER) as a variable within the subject. The four variables have passed the nature test in Shapiro-Wilk, and thus analyzed using a two-sided T test. The sizes of its effect were calculated using Cohen d.

SCD (Source Code): The test was discovered (P = 0.0485) which deletes more source letters when they look at their partners as a woman, with a moderate effect (D =. 70.775).

Fig.Fig.

Fig.Fig.

• I_rf (The relative frequency of informal messages): The discovered test (p = 0.0138) that the topics increased the relative frequency of informal messages when they look at their partners as a man, with a large effect volume (D = 1.050).

• M_rf (The relative frequency of capabilities or repercussions): Discovered test (p = 0.0377) that the topics have increased the relative frequency of capabilities or repercussions when they look at their partners as a man, with a large effect size (D = 0.829).

• Qyn_rf (The relative frequency of questions yes/no): The discovered test (p = 0.0297) that the topics increased the relative frequency of yes questions/no/no when they look at their partners as a man, with a large effect size (D = 0.880).

Note that these results must be carefully observed due to a few specified topics (n = 9), and because when applying the wrong discovery amendments (FDR) (FDR) [5]Just testing the hypothesis corresponding to I_rf The variable is still big.

No major reactions have been discovered between the partner’s sex and the subject of the subject of the same response variables compared to the original study.

Authors:

(1) Amador Duran, I3us Institute, Sevilla University, Seville, Spain and Al -Nawal Laboratory, Seville University, Seville, Spain ([email protected]);

(2) Pablo Fernandez, i3us Institute, Universidad De Sevilla, Sevilla, Spain and Score Lab, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(3) Betriz Bernardez, i3us Institute, Universidad De Sevilla, Sevilla, Spain and Score Lab, Universidad de Sevilla, Sevilla, Spain ([email protected]);

(4) Nathaniel Winmann, Computer Science Department, University of California, Berkeley, Berkeley, USA ([email protected]);

(5) Aslinhan Akalin, Computer Science Department, University of California, Berkeley, Berkeley, USA ([email protected]);

(6) Armando Fox, Computer Science Department, University of California, Berkeley, Berkeley, USA ([email protected]).


[11] In fact, only 41 variables have been analyzed in symmetrical copies due to technical problems with the Python server used by Twincode Platform. As a result, OKV, OKV RF, Kov and Kov RF cannot be measured, thus analyzing it. As it becomes clear from Figure 10 and 11, their means are 0 in all cases.

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