Helping behavior refers to voluntary actions intended to help the others, with reward regarded or disregarded. It is a type of prosocial behavior (voluntary action intended to help or benefit another individual or group of individuals, such as sharing, comforting, rescuing and helping).
Altruism is distinguished from helping behavior. Altruism refers to prosocial behaviors that are carried out without expectation of obtaining external reward (concrete reward or social reward) or internal reward (self-reward). An example of altruism would be anonymously donating to charity. 
- 1 Perspectives on helping behavior
- 2 Implications
- 3 See also
- 4 References
Perspectives on helping behavior
Kin selection theory
Kin selection theory explains altruism in an evolutionary perspective. Since natural selection aids in screening out species without abilities to adapt the challenging environment, preservation of good traits and superior genes are important for survival of future generations (i.e. inclusive fitness). Kin selection refers to the tendency to perform behaviors that may favor the chance of survival of people with similar genetic base.
W. D. Hamilton has proposed a mathematical expression for the kin selection:
"where B is the benefit to the recipient, C is the cost to the altruist (both measured as the number of offspring gained or lost) and r is the coefficient of relationship (i.e. the probability that they share the same gene by descent)."
An experiment conducted in Britain supports kin selection The experiment is illustrated by diagrams below. The result shows that people are more willing to provide help to people with higher relatedness and occurs in both gender and various cultures. The result also show gender difference in kin selection which men are more affected by the cues of similar genetic based than women.
Reciprocal altruism is the idea that the incentive for an individual to help in the present is based on the expectation of the potential receipt in the future. Robert Trivers believes it to be advantageous for an organism to pay a cost to his or her own life for another non-related organism if the favor is repaid (only when the benefit of the sacrifice outweighs the cost).
As Peter Singer notes, “reciprocity is found amongst all social mammals with long memories who live in stable communities and recognize each other as individuals.” Individuals should identify cheaters (those who do not reciprocate help) who lose the benefit of help from them in the future, as seen in blood-sharing in vampire bats.
Trade in economic trades and business may underlie reciprocal altruism in which products given and received involve different exchanges. Economic trades follow the “I’ll scratch your back if you scratch mine” principle. A pattern of frequent giving and receiving of help among workers boost both productivity and social standing.
Negative-state relief model
The negative-state relief model of helping states that people help because of egoism. Egoistic motives lead one to help others in bad circumstances in order to reduce personal distress experienced from knowing the situation of the people in need. Helping behavior happens only when the personal distress cannot be relieved by other actions. The model explains also people’s avoidance behavior from people in need: this is another way of reducing distress.
1) Guilt feelings were induced to subjects by having participants accidentally ruin a student’s thesis data or seeing the data being ruined. Some subjects experience positive events afterwards, e.g. being praised. Results show that subjects who experience negative guilt feelings are more motivated to help than those who had neutral emotion. However, once the negative mood was relieved by receiving praise, subjects no longer had high motivation in helping.
2) Schaller and Cialdini found that people who are anticipating positive events (listening to a comedy tape), will show low helping motivation since they are expecting their negative emotions to be lifted up by the upcoming stimulation.
According to the Empathy-altruism hypothesis by Daniel Batson (1991), the decision of helping or not depends primarily on whether you feel empathy for the person and secondarily on the cost and rewards (social exchange concerns). It can be illustrated in the following diagram:
The hypothesis was supported by some studies. For example, a study conducted by Fultz and his colleagues (1986) divided participants into a high-empathy group and a low-empathy group. They both had to listen to another student, Janet, who reported feeling lonely. The study found that high-empathy group (told to imagine vividly how Janet felt) volunteered to spend more time with Janet, whether or not their help is anonymous, which makes the social reward lower. It shows that if the person feels empathy, they will help without considering the cost and reward, and it complies with the empathy-altruism hypothesis.
A strong influence on helping is a feeling of and belief in one's responsibility to help, especially when combined with the belief that one is able to help other people. The responsibility to help can be the result of a situation focusing responsibility on a person, or it can be a characteristic of individuals (leading to helping when activated by others' need). Staub has described a "prosocial value orientation" that made helping more likely both when a person was in physical distress and psychological distress. Prosocial orientation was also negatively related to aggression in boys, and positively related to "constructive patriotism". The components of this orientation are a positive view of human beings, concern about others' welfare, and a feeling of and belief in one's responsibility for others' welfare.
Social exchange theory
According to the social-exchange theory, people help because they want to gain goods from the one being helped. People calculate rewards and costs of helping others, and aim at maximizing the former and minimizing the latter, which is known as a “minimax” strategy.
Rewards are either external or internal. External reward is things that obtained from others when helping them, for instance, friendship and gratitude. People are more likely to help those who are more attractive or important, whose approval is desired. Internal reward is generated by oneself when helping, for example, sense of goodness and self-satisfaction. When seeing someone in distress, one would empathize the victim and are aroused and distressed. We may choose to help in order to reduce the arousal and distress. Preceding helping behavior, people consciously calculate the benefits and costs of helping and not helping, and they help when the overall benefit of helping outweigh the cost.
A major cultural difference is the difference between collectivism and individualism. Collectivists attend more to the needs and goals of the group they belong to, and individualists focus on their own selves. With such contrast, collectivists would be more likely to help the ingroup members, but less frequent than individualists to help strangers.
Rural vs. urban area
The context influences helping behaviors. While there is a myth that small towns are "safer" and "friendlier", it has yet to be proven. In a meta-analytical study by Nancy Steblay, she found out the in either extreme, urban (300,000 people or more) or rural environments(5,000 people or less), are that worst places if you're looking for help.
Choosing a role
Edgar Henry Schein, former professor at MIT Sloan School of Management, assigns three different roles people follow when responding to offers of help. These generic helping roles are The Expert Resource Role, The Doctor Role, The Process Consultant Role.
The Expert Resource Role is the most common of the three. It assumes the client, the person being helped, is seeking information or expert service that they cannot provide for themselves. For example, simple issues like asking for directions or more complex issues like an organization hiring a financial consultant will fall into this category.
The Doctor Role can be confused with the Expert Role because they seem to overlap each other. This role includes the client asking for information and service but also demands a diagnosis and prescription. Doctors, counselors, coaches, and repair personnel fulfill this kind of role. Contrary to the expert role, the Doctor Role shifts more power to the helper who is responsible for the previously mentioned duties; diagnosing, prescribing, and administering the cure.
Schein describes the Process Consultant Role where the helper focuses on the communication process from the very beginning. Before help can start, there needs to be an establishment of trust between the helper and the client. For example, in order for a tech consultant to be effective, he or she has to take a few minutes to discuss what the situation is, how often the problem occurs, what has been tried before, etc. before transitioning into the expert role or the doctor role.
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