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Copy file name to clipboardExpand all lines: general_rules/PenaltiesBonuses.tex
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@@ -42,6 +42,44 @@ \subsection{Bonus for outstanding performance}\label{rule:outstanding_performanc
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\item It is the decision of the \iaterm{Technical Committee}{TC} if (and to which degree) the bonus score is granted.
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\end{enumerate}
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\subsection{Bonus for perceived social intelligence}\label{rule:perceived_intelligence}
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\begin{enumerate}
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\item For the test \iterm{Receptionist} in \iterm{Stage~I} and, \iterm{Restaurant} in \iterm{Stage~II} tests. Teams are evaluated on the robot's perceived social intelligence
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performance
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\item This bonus, ranging from 0 to 50, depends on the robot's social performance which will be assessed by Referees using a specially designed scale in a survey.
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\item The survey evaluates how the robot recognizes, adapts to, and predicts emotions, behaviors, and cognitions. Each component is assessed through several questions, scored on a scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree." The questions used for evaluation include:
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\begin{itemize}
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\item This robot notices human presence
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\item This robot enjoys meeting people
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\item This robot recognizes individual people
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\item This robot notices when people do things
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\item This robot adapts effectively to different things people do
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\item This robot anticipates people's behavior
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\item This robot tries to be helpful
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\item This robot is trustworthy
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\item This robot cares about others
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\item This robot tries to hurt people
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\item This robot knows if someone is part of a social group
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\item This robot thinks it is better than everyone else
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\item This robot adapts its behavior based upon what people around it know
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\item This robot is impolite
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\item This robot is socially competent
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\end{itemize}
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Detailed information can be found in this \href{https://ipip.ori.org/PSIManualSeptember2018.pdf}{manual}.
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\item In each evaluation, the score for every question is summed up and then normalized as follows:
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\[ x' = N \cdot\frac{{x - x_{\text{min}}}}{{x_{\text{max}} - x_{\text{min}}}} \]
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Here, \( N \) is the normalizing factor (50), \( x \) is the sum of scores for each question in the current evaluation, \( x_{\text{min}} \) is set to 15 (since there are 15 questions), and \( x_{\text{max}} \) is set to 75 (as the maximum score for each question is 5).
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\item The final score is calculated as the average of individual evaluator scores.
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\item The referee has the authority to skip the social assessment test if they believe the robot's performance is not suitable for measurement.
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\item After the test is completed, the evaluators will fill out the form, and the scores will be automatically recorded in this \href{https://urjc-my.sharepoint.com/:x:/g/personal/juan_pena_urjc_es/Eb4WyP1H4-FCqeW-qVZ3mF0BRzBR1Cn-J5ltluy90fhTJQ?rtime=guRqYF483Eg}{spreadsheet}.
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