The science behind Facebook’s experiment

Priming influences us subconsciously

Read about Facebook’s experiment? The one in which they manipulated which posts showed up on the news feeds of 6,89,003 Facebook users. For one week, some users saw fewer posts with negative emotional words than usual, while others saw fewer posts with positive ones. People were more likely to use positive words in Facebook posts if they had been exposed to fewer negative posts throughout the week, and vice versa. Read about it here.

Love it or hate it, here’s the science behind the experiment.

Our behaviour is often influenced by sub-conscious cues. Priming shows that people’s behaviour may be altered if they are first exposed to certain sights, words or sensations. In other words, people behave differently if they have been ‘primed’ by certain cues beforehand. Priming seems to act outside of conscious awareness, which means it is different from simply remembering things.

Here are few other fascinating priming-related researches. Social psychologist John Bargh et al got participants in the first group to unscramble five words like ‘he it hides finds instantly’. For this group the random words were just to keep them busy, but for the second group, the sentences had lots of words, which were stereotypically associated with old people – old, lonely, grey, careful, wise, stubborn, courteous, etc. Then the two groups of people were made to walk a 9.75-metre strip. Those who’d been fed old-related words took a full second longer to cover the distance, than those who hadn’t.

Those primed were reminded about the idea of being old. Because we have habitual ways of thinking about old people – this idea got activated subconsciously and they acted in line with these stereotypes without even realizing it.

But we can improve people’s performance by just the same method. In another research, Asian-American participants were invited to take a test. Before they did, some were primed with the words that would activate stereotypes about Asian people, namely superiority at maths. This was done by flashing words on a screen for less than a tenth of a second: too quick to be perceived consciously, but slow enough for the subconscious to register.

Asian-Americans who had been primed with the stereotype got almost twice as many of the questions right as the other group. When researchers saw the data closely they found that after bring subliminally primed with an Asian-American stereotype, Asian-Americans attempted more questions. As if the stereotype made them try harder – a habit of persistence.

In another research asking participants to make a sentence out of scrambled words such as fit, lean, active, athletic made them significantly more likely to use the stairs, instead of lifts.

Says Jeremy Dean of www.psyblog.co.uk, “Everyday we are bombarded with subtle and not so subtle cues of how to behave. We process these automatically and subconsciously, and over time these impulses emerge as our habits, which we start performing without conscious thought.”

Feel like sipping some cocktail by the beach?

 

Sources: John Barg, M. Chen, L. Burrows – Automaticity of social behavior: Direct effects of trait construct and stereotype activation action – Journal of Personality and Social Psychology 71, no. 2 (1996): 230

M. Shih, N. Ambady, J.A. Richeson, K. Fujita, H.M. Gray – Stereotype performance boosts: the impact of self-relevance and the manner of stereotype activation – Journal of Personality and Social Pyschology 83, no.3 (2002): 638

Wryobeck and Chen (2003) Using priming techniques to facilitate health behaviours. Clinical Psychologist 7:105108.

Think you can predict your own behaviour – Part II

Think you can predict your own behaviour - Part II

We found this topic so interesting that we couldn’t resist a Part II. Hope you’re enjoying it too. So here goes another example which shows that intentions and attitudes are one thing, but behavior reveals something else.

It is well known that people don’t always ‘speak their minds’, and it is suspected that people don’t always ‘know their minds’. For example, if we ask a smoker “How much do you smoke?” A smoker who smokes 4 packs a day may purposely report smoking only 2 packs a day because he may be embarrassed to admit the correct number. But a smoker who smokes 4 packs a day may report smoking only 2 packs because he honestly believes he only smokes about 2 packs a day. (That’s why we never ask questions about behavior. We observe it.)

The unwilling-unable distinction is like the difference between purposely hiding something from others and unconsciously hiding something from yourself. Project Implicit makes it possible to penetrate both of these types of hiding. Renowned scientists Brian Nosek, Mahzarin Banaji and Tony Greenwald have developed a test called the Implicit Association Test (IAT).

In IATs conducted between July 2000 and May 2006 on racism, they found about 5 lakh people out of approx. 7.3 lakh that took the IAT, had an automatic preference for White people compared to Black people. Only about 1.3 lakh people were neutral in their preference and remaining 1 lakh preferred Black people compared to White people. The same people may claim they’re not racists, but their behavior suggests otherwise. Its possible people try to keep unsavory attitudes to themselves, but research suggests that people are actually successfully hiding it from themselves.

Take the test here and see the results for yourself.

When I took the race test I got a result stating – Your data suggests a slight automatic preference for Black people compared to White people. I blame it on Rihanna.

What did your test reveal?

Illustration: Janelle Penny Commissiong (born June 15, 1953), a former beauty pagent titleholder. After winning the Miss Trinidad and Tobago title, she went on to be crowned Miss Universe in 1977.

Ads aimed at changing behaviour are a waste of money

What an ad. Funny. Entertaining. Beautifully scripted. Well directed. Brilliantly acted. Excellent choice of music. Award-winning. And totally ineffective.

The ad not only acknowledges that bullying happens, but it also reinforces that bullying will continue to happen. Just that those who get bullied will get their revenge, even though its after 30 years.

Leave alone the fact that it got the psychology completely wrong, how exactly are such ad campaigns that get produced in hundreds every year in every country supposed to work? In this case, do the ad makers expect the bullies to remember (at the time of bullying) that their targets may seek revenge after 30 years and therefore not indulge in bullying now?

Or another example of an award winning ad seen by millions of people around the world – Smoking Kid. How many people do you think have quit smoking after viewing this ad?

Ever wondered why we hear so much talk around us, but see little change happening? So many promises, agendas, quotes, speeches, videos, ads, so much inspiration (gas) which seems powerful and emotional in the spur of the moment, but eventually leads to nothing. It’s because mere awareness rarely leads to action. We’re ruled by something that’s far more powerful than the inspirational or entertaining or factual messages we’re exposed to – habits.

But billions of money still gets spent on messaging and education to change behavior – not just by the government but also by the private sector. Such communication may succeed in creating an illusion of efficacy by changing attitude/intention, but has proven to be a highly ineffective way of changing behavior – whether of consumer, shopper, employee or public behavior. Truly, old habits die hard.

In the UK, for example, in the 1970s and 80s, the government spent millions on ads educating people to wear seat belts on TV, radio and billboards. Streff and Geller estimated that by the end of the 80s, 80-90% of British people saw these ads 8-9 times each. One would assume that showing people being launched head-first through their windscreens would make people respond. Turned out that most of the people weren’t responding, until in 1983 when the law changed along with strict policing, that most people started wearing them.

In India too, billions are wasted on behaviour-change advertising, whether it’s the ‘Swatch Bharat’ campaign or ‘Save fuel, save money’ campaign or tax payment campaigns. Regards public behavior the government has the option of making certain behaviors compulsory and punishable by law. But even when it is compulsory by law, we in India find ways of overcoming them for several reasons. For example we don’t wear helmets, seat belts, break traffic signals, sit on top of running trains, evade taxes, etc. Advertising isn’t making any difference.

The private sector does not have such legal recourse. So companies use awareness and education to change behavior, which meets with the similar ineffective outcomes. Take for example billions being spent on advertising to get Indians to change behavior and adopt products like mutual funds, breakfast cereal, mouthwash, etc. Or take the example of Colgate wanting Indians to brush at night. How many hundreds of crores and number of years do you think Colgate will take to get Indians to brush at night if it relies on advertising? While advertising is a time and money draining solution, Behavioural Design is about simple, scalable, small tweaks/nudges that make a big difference to big problems. Eg. Bleep – horn reduction system and so many other examples you would find on this blog.

It’s time for CEOs, marketers and policy makers to shed their old habit of relying on ineffective solutions like advertising and awareness-based campaigns and adopt Behavioural Design to change behavior effectively. It‘s the scientific way to change human behaviour.

Source for UK numbers – F.M. Streff and E.S. Geller – Strategies for motivating safety belt use: The application of applied behavior analysis – Health Education Research 1, no. 1 (1986): 47-59

Fairness is interpreted differently around the world – Part II

Fairness is interpreted differently around the world - Part II

Here’s the second in the series on how fairness is interpreted differently by people around the world.

Joseph Henrich conducted a money-splitting experiment amongst UCLA students. He decided to use $160 for the experiment, which translated to 2.3 days worth of work. The rules – a student was given the money and was supposed to share a part with another undisclosed untraceable student. But if this student rejected the offer, both would walk away with nothing.

The most common split offered by students to another was 50/50, which the receiving partner always accepted. The participants said, “If I offered less than half, my partner wouldn’t accept the offer.” When asked if the recipients would accept an 80/20 offer – all of the partners scoffed, “that would be unfair”.

Then Henrich took the experiment to one of the most remote places on earth in the Peruvian Amazon – the Machiguenga tribe – that live in small villages, each family being self-sufficient, making its own tools and gathering its own food. Using a sum of 20 Peruvian soles that came to 2.3 days worth of work, Henrich conducted the same money-splitting experiment.

The Machiguenga participants offered incredibly low sums to their partners. Most offered an 85/15 split favoring the person making the offer. And the partners nearly always accepted them. Explained Henrich, “Several individuals made it clear they would accept any money, regardless of how much the proposer (splitter) was getting. They seemed to feel it was just bad luck that they were responders and not proposers.”

Some tribe members did offer 50/50 and when Henrich interviewed them he found out each one of these people had spent considerable time living among modern Westerners and felt that 50/50 split was the fair thing to do.

In the Amazon jungle it’s finders keepers, unlike US, Japan, Indonesia or Israel for that matter. It will be fascinating to conduct this experiment in different parts of India to find out what Indians from different states, castes and cultures deem fair.

Source: Does culture matter in economic behavior? Ultimate game bargaining among the Machiguenga of the Peruvian Amazon – Amercian Economic Review 90 (2000): 973-79.

 

Behavioural Design talk at TEDxGateway, Mumbai

Behavioural Design talk at TEDxGateway

Friends, I’m speaking at TEDxGateway on Bleep and Behavioural Design.

There are lots of interesting speakers lined up. So come over to NCPA, Mumbai on 8th Dec 2013 to listen and discuss some stimulating ideas and thinking that could change the way you view the world.

All the information is here – www.tedxgateway.com.

Hope to see some of you there.

Bleep – Horn reduction system video

Bleep has been featured in TIME, BBCFast Company, BMW Guggenheim Lab, USA Today, The Strait TimesTimes of India (2), The Economic Times (2), Mint, CNBC Overdrive, Hindustan Times, NDTV, Top Gear, Radio One (2), Mumbai Boss, The Sunday GuardianDNA and TEDxGateway talk.

Indiscriminate honking is a bad habit and a huge irritant in India, parts of Asia and South America, or even by cab drivers in NY. If you are visiting us from a country where the habit of honking is a problem,  share this video on facebook, twitter, linkedin, pinterest and help spread the word.

A big thank you in advance for your support. To get us in touch with a Govt. or NGO representative of your country, write to us at work@brief-case.co

Every share counts. Every little helps.

We are all horny

We are all horny

Honking is so embedded in Indian driving etiquette that Audi India has confirmed, in media, having designed extra loud, ultradurable horns for vehicles sold in India. Meanwhile people face a rapidly growing problem with many side effects of noise pollution. Some of them being increased hyper-tension, blood pressure, hearing loss, increased risk of heart attacks and disturbed sleep patterns. Reports in Indian cities show that noise levels are way beyond the permissible limits. Truly we are all horny.

Honking like other behaviour, over time, becomes a habit. And habits are essentially automatic behaviour where one does not consciously think about the action, but rather, the decision-making happens automatically. So we thought that it was important to shift the driver from an automatic mode of honking as a habit, to make him deliberate on whether the situation really demanded that he honk. We needed to make the driver conscious of the habit of honking by giving him immediate feedback while the driver was still driving the car, so that the next time the driver honked only when he thought it was necessary, rather than honk indiscriminately.

This approach led us to create a ‘Horn Reduction System’ we’ve called Bleep that has proved to reduce honking amongst each and every one of participants by an average of 61%.

Bleep – A horn reduction system

Bleep is a device with a simple red button fitted in an easily accessible place on the dashboard of a car. The red button has a frown sketched on it and when the driver presses the horn, the red button begins to beep and flash. In order to switch the device off, the driver needs to press the red button.

The 6-month long experiment

Bleep has been tested on manual and automatic geared cars amongst 30 people including men, women and chauffeurs of private vehicles, over 6 months and over 3800 kms. The participants were given either of two cars – manually geared Swift or automatic Honda City, with Bleep fitted, to be driven for 4 days during the working weekdays. Two days with Bleep off and the next two days with Bleep on, so that we could compare the number of honks per kilometer in the control situation (pre-Bleep) with the experimental situation (post-Bleep). Bleep has been tested as triggering off every time the horn is pressed, which is a stricter version in the manually geared Swift car, as well as triggering off every third time the horn is pressed, which is more lenient, in the automatic Honda City. In the first phase of the experiment the drivers were not given any information about the experiment. In the second phase they were simply shown how the system works.

The results

We have found a reduction in honking in each and every one of the participants wherein honks per km reduced between 19% to 96% (on an average by 62.5%) when Bleep was triggered every time the horn was pressed (stricter version). A reduction in honks per km was found between 16% to 91% (on an average by 60.3%) when Bleep was triggered every third time the horn was pressed (lenient version). These numbers prove that the reduction in honking relates to indiscriminate honking that drivers can do without.

The science of Bleep

The science behind the effectiveness of Bleep is that it assists the driver in reducing honking by using a visual-cum-sound reminder. The driver gets instant feedback when the red light with the frown beeps and flashes when he honks, making the driver conscious about his inappropriate behaviour of honking and making him deliberate about when he really required to honk. The driver having to physically switch off the reminder further helps in persuading him to honk lesser. The frown on the device is designed to indicate that honking is socially inappropriate behaviour. A study called ‘Overcoming Intuition’ done by Alter, Oppenheimer, Epley and Eyre has shown that frowning helps the brain reduce the reliance on intuition and activates analytical reasoning. Another research at the Stanford University School of Medicine has shown that peak brain activity (arresting attention) occurred during a short period of silence between musical movements, which is evidence that sounds that have a pause in between make you more alert. That’s why a seatbelt reminder like sound was used in the beep.

Bleep comes with many other unique features like recording, displaying and transmission of vehicle data like number of honks, speed at time of honk, location, time, etc., inside the vehicle or at a remote location and many other customised features. Patent pending.

Bleep has been featured in Fast Company, BMW Guggenheim LabTimes of India, CNBC OverdriveRadio One 94.3, Top Gear India’s June issue, Mint-WSJMumbai Boss, The Sunday Guardian and DNA till now.

Traffic jams can be eased by gamification

Playing games could ease traffic congestions

Billions of hours, fuel and money gets wasted in traffic congestions. Though there has been some progress in the last few years in Mumbai with the starting of the Bandra-Worli sea-link and the fly-overs being built, there’s a strong feeling that it may not be enough. Take the case of Delhi. Delhi is most privileged to have more than 21 per cent of its geographical area under road space. Delhi has built the maximum roads and flyovers. Yet its roads are totally gridlocked. While the government has targeted to increase the usage of public transport from existing 40% to 80% by 2020, it will extremely difficult to curb the ‘status’ tag of cars.

Singapore has had the ERP (Electronic Road Pricing) system that charges extra dollars for using congested zones during peak hours. So do London and Stockholm. However congestion charging has come under criticism that it favours the rich and that it adversely affects retail businesses in the congested zone. So could gaming come to the rescue?

Two experimental transportation projects are under way in Singapore and Silicon Valley that aim to improve commutes through gaming. In one of the experiments, conducted by Balaji Prabhakar, a Stanford engineering professor, more than 17,500 Singapore commuters have enrolled. Participants in the Singapore program shift their commutes to off-peak hours to earn credits, which can be traded for a chance to win cash.

So rather than only punishing traveling in peak hours, this program also rewards traveling in non-peak hours.

Balaji Prabhakar said during a recent talk at the university’s campus in Palo Alto, California, that 11-12 percent of users in Singapore have shifted off-peak. Men tend to shift later, he said, while women generally shift earlier. He says that 11% might not seem much, but they’re enough to make a difference in traffic flow. He ran a successful project for employees of Infosys called INSTANT (Infosys-Stanford Traffic project) in Bangalore in 2008-2009 and is now running the project at Stanford University as well.

I’m wondering how this could be implemented in Mumbai as public transportation is neither electronically controlled nor linked to each other. However prices of public transport can be controlled manually. So imagine the ticket prices of road transport – bus, rickshaw, taxi and the sea-link like toll is increased by 25% in peak hours (8:30-10am and 6:00-7:30pm), but is also decreased by say, 10% during off-peak hours. Could it work?

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