Prosocial Behavior: Actions like caring, giving, volunteering, and donating that benefit individuals and society.
Social Responsibility Norm: A cultural belief that encourages assistance to those in need.
Goals of Helping:
Genetics: Helping behaviors are adaptive and ensure the propagation of one's genes.
Egoism: Assistance is provided for personal gains, classified into three types:
Mood-based: Helping improves one’s mood.
Material-based: Help leads to material rewards.
Status-based: Recognition and respect are gained through helping.
Altruism: Helping others selflessly, aiming to benefit them without seeking personal gain.
Kin Selection: Preference for aiding genetic relatives which enhances the survival of similar genes.
Inclusive Fitness: Focuses on the survival of one's genes through direct offspring and relatives.
Group Selection: Helping behavior may evolve to support group survival.
Reciprocity: Engaging in mutual assistance creates a cycle of help.
Norm of Reciprocity: Encourages reciprocal help and discourages harming those who assist.
Direct Reciprocity: Expectation that help will be returned.
Indirect Reciprocity: Providing help without expecting anything in return, fostering a culture of support.
Development of Helping in Children: Evidence shows children as young as 18 months can display helping behaviors.
Operant Conditioning: Rewards increase the likelihood of future helping.
Social Learning: Observing and modeling prosocial behavior from others.
Prosocial Video Games: Some games are designed to encourage prosocial behavior in players.
Time Pressure: Can negatively impact the likelihood of helping (e.g., Good Samaritan Study).
Location: Rural areas see more helping behaviors compared to urban areas; length of community residence correlates with helping.
Mood Management Hypothesis: Individuals help to elevate their mood, especially when feeling sad.
Negative State Relief Model: Observing someone in distress evokes sadness in the observer, motivating them to help.
Arousal: Cost-Reward Model: The intensity of the victim's distress influences the helper's response. Factors include:
Greater arousal leads to increased likelihood of helping.
Closer relationship between bystander and victim enhances motivation.
Bigger potential rewards compared to costs also increases helping behavior.
Kitty Genovese Case (1964): Highlights bystander apathy where witnesses failed to assist, often due to perceived apathy.
Emergencies are typically characterized by:
Actual or potential harm.
Rarity and unexpectedness.
Immediate action required for resolution.
Empathic Concern: Emotion related to the welfare of others in need; fundamentally linked to altruistic behavior.
Empathy-Altruism Hypothesis: Asserts that feeling empathy leads to altruistic motivations for helping.
Antecedents: Recognizing the need for help and valuing the well-being of others.
Studies (Jackson et al., 2006) highlight brain activity differences when imagining personal versus others' suffering.
Temporo-parietal Junction (TPJ): Engaged when considering others’ pain, not one's own.
Anterior Cingulate Cortex (ACC): Activated during both self and other conditions.
Heroic Altruism: Traits such as empathy and a strong moral obligation encourage heroic acts amidst serious risk.
Prosociality: A person's disposition towards engaging in helping behaviors.
Prosocialness Scale: Considers traits like agreeableness and accepting others as equals.
Helping can be either:
Individually-oriented (typically men): More action in risky situations.
Collectively-oriented (typically women): Generally more relational and communal in helping approaches.
Gender Dynamics: Women tend to receive more help compared to men.
Victim Attractiveness: More attractive individuals receive more assistance.
Similarity: A higher degree of similarity between helper and person in need increases the likelihood of help.
Personal Responsibility: Perceptions of personal responsibility can decrease helping, influenced by the Just-World Hypothesis.
Shared Identity Effect: Belonging to the same social group fosters helping behaviors and interventions.
Individualism vs. Collectivism: Collectivist societies typically show more helping behaviors.
Cultural Embeddedness: Focus on family and ingroup versus individualism affects helping dynamics; helping for strangers is less common in collectivist cultures.
Perspectives on human nature include both selfish and cooperative behaviors.
Morality plays a key role in encouraging helping, though humans delineate actions determined by various influencing factors.
Chapter 8 - st 2
Prosocial Behavior: Actions like caring, giving, volunteering, and donating that benefit individuals and society.
Social Responsibility Norm: A cultural belief that encourages assistance to those in need.
Goals of Helping:
Genetics: Helping behaviors are adaptive and ensure the propagation of one's genes.
Egoism: Assistance is provided for personal gains, classified into three types:
Mood-based: Helping improves one’s mood.
Material-based: Help leads to material rewards.
Status-based: Recognition and respect are gained through helping.
Altruism: Helping others selflessly, aiming to benefit them without seeking personal gain.
Kin Selection: Preference for aiding genetic relatives which enhances the survival of similar genes.
Inclusive Fitness: Focuses on the survival of one's genes through direct offspring and relatives.
Group Selection: Helping behavior may evolve to support group survival.
Reciprocity: Engaging in mutual assistance creates a cycle of help.
Norm of Reciprocity: Encourages reciprocal help and discourages harming those who assist.
Direct Reciprocity: Expectation that help will be returned.
Indirect Reciprocity: Providing help without expecting anything in return, fostering a culture of support.
Development of Helping in Children: Evidence shows children as young as 18 months can display helping behaviors.
Operant Conditioning: Rewards increase the likelihood of future helping.
Social Learning: Observing and modeling prosocial behavior from others.
Prosocial Video Games: Some games are designed to encourage prosocial behavior in players.
Time Pressure: Can negatively impact the likelihood of helping (e.g., Good Samaritan Study).
Location: Rural areas see more helping behaviors compared to urban areas; length of community residence correlates with helping.
Mood Management Hypothesis: Individuals help to elevate their mood, especially when feeling sad.
Negative State Relief Model: Observing someone in distress evokes sadness in the observer, motivating them to help.
Arousal: Cost-Reward Model: The intensity of the victim's distress influences the helper's response. Factors include:
Greater arousal leads to increased likelihood of helping.
Closer relationship between bystander and victim enhances motivation.
Bigger potential rewards compared to costs also increases helping behavior.
Kitty Genovese Case (1964): Highlights bystander apathy where witnesses failed to assist, often due to perceived apathy.
Emergencies are typically characterized by:
Actual or potential harm.
Rarity and unexpectedness.
Immediate action required for resolution.
Empathic Concern: Emotion related to the welfare of others in need; fundamentally linked to altruistic behavior.
Empathy-Altruism Hypothesis: Asserts that feeling empathy leads to altruistic motivations for helping.
Antecedents: Recognizing the need for help and valuing the well-being of others.
Studies (Jackson et al., 2006) highlight brain activity differences when imagining personal versus others' suffering.
Temporo-parietal Junction (TPJ): Engaged when considering others’ pain, not one's own.
Anterior Cingulate Cortex (ACC): Activated during both self and other conditions.
Heroic Altruism: Traits such as empathy and a strong moral obligation encourage heroic acts amidst serious risk.
Prosociality: A person's disposition towards engaging in helping behaviors.
Prosocialness Scale: Considers traits like agreeableness and accepting others as equals.
Helping can be either:
Individually-oriented (typically men): More action in risky situations.
Collectively-oriented (typically women): Generally more relational and communal in helping approaches.
Gender Dynamics: Women tend to receive more help compared to men.
Victim Attractiveness: More attractive individuals receive more assistance.
Similarity: A higher degree of similarity between helper and person in need increases the likelihood of help.
Personal Responsibility: Perceptions of personal responsibility can decrease helping, influenced by the Just-World Hypothesis.
Shared Identity Effect: Belonging to the same social group fosters helping behaviors and interventions.
Individualism vs. Collectivism: Collectivist societies typically show more helping behaviors.
Cultural Embeddedness: Focus on family and ingroup versus individualism affects helping dynamics; helping for strangers is less common in collectivist cultures.
Perspectives on human nature include both selfish and cooperative behaviors.
Morality plays a key role in encouraging helping, though humans delineate actions determined by various influencing factors.