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Continuing the series of ‘Psychology and Physiology are deeply connected’, this is the final one.

This experiment is popularly known amongst psychologists as ‘The Love Bridge’ study, named after the bridge in Capilano Canyon, Vancouver where the experiment took place. The suspension bridge spans 450 feet and hovers 230 feet above the ground, causing it to sway as the wind blows. There was another bridge in the area that was a small but sturdy wooden bridge bordered by guardrails, just ten feet off the ground.

At various times throughout the day, researchers Donald Dutton and Arthur Aron, had a young female assistant approach men between 18-35, as they stepped off the end of each bridge with a scripted story – that she was a psychology student conducting a study on the effects of exposure to scenic attractions on creative expression. The assistant would then ask each man to fill out a short survey. When done, she would offer to tell him about the study when she a little bit more time. Then she would write down her name and number and hand it over to the men. Most men happily accepted it and walked off.

As expected the female assistant started getting calls from the men. While only two of sixteen men who crossed the small sturdy wooden bridge called, half of the eighteen men who crossed the suspension bridge called. Why did she miraculously become more attractive to the men who crossed the suspension bridge than to the men who crossed the small sturdy wooden bridge?

Turns out that for the men who crossed the suspension bridge, anxiety and adrenaline translated into a heightened romantic interest in the assistant. Their physiological reactions affected their perceptions and behaviour.

But could the men who took the suspension bridge be more courageous and daring and therefore more likely to take a chance on calling the assistant? 

To test the possibility, the researchers went back to Capilano to conduct a follow-up study. This time the female assistant was stationed only at the end of the suspension bridge. She approached some of the men right after they crossed and others, ten minutes after they had finished crossing.

More men who met the assistant just after they crossed called, than the ones who were approached ten minutes later. The latter’s anxiety had subsided and their adrenaline levels had gone down.

No wonder going for a roller-coaster ride on a date makes sense.

Source: Attraction under conditions of high anxiety – Donald Dutton and Arthur Aron – Journal of Personality and Social Psychology 30 (1974): 510-17.

Psychology and Physiology are deeply connected - II

We found the connection between Psychology and Physiology so intriguing that we did more research and found more studies done on it. Intuitively it makes sense – the mind affects the body and the body affects the mind, but chancing upon hard scientific evidence makes it even more convincing.

So Becca Levy and colleagues at Yale got senior citizens over the age of 70 to take a special hearing test. A sequence of three ascending pitches for each ear was played. Each time a senior citizen heard a tone, they were supposed to raise their hand. The average score was 3.53 out of 6.

Next the seniors were asked to write the first five words that came to mind when they thought of an old person. The researchers noted how each senior responded and categorized each answer. The first category was from very positive (e.g. compassionate) to very negative (e.g. feeble). The second category was from external (e.g. white hair) to internal (e.g. experienced). The researchers got two sets of data – hearing test and attitude profile of each senior.

Three years later, the same seniors were invited to take the same hearing test again. This time the average score dropped. But not all participants’ hearing deteriorated equally. Those seniors who used negative and external descriptors to describe old age were worse off. Even after isolating other factors that would diminish hearing e.g. medical condition, the researchers found that the negative and external descriptors were responsible for a 0.7-point drop in a senior’s score – amounting to eight years of normal aging – in just three years. Even participants who scored a full 6 in the first round, and had used negative and external descriptors, experienced worse off diminished hearing.

This proves that negative and external feelings about old age can actually make people physically age faster. The effect is not limited to hearing alone, but to memory loss, cardiovascular weakness and even a reduction in overall life expectancy by an average of 7.5 years.

Sources:

Hearing decline predicted by Elders’ stereotypes – Becca Levy, Martin Slade, Thomas Gill – Journal of Gerontology: Psychological Sciences 61B (2006): 82-88

Longevity increased by positive self-perceptions of aging – Becca Levy, Martin Slade, Suzanne Kunkel and Stanislav Kasl – Journal of Personality and Social Psychology 83 (2002): 261-70

Longitudinal benefit of positive self-perceptions of aging on functional health – Becca Levy, Martin Slade and Stanislav Kasl – Journal of Gerontology: Psychological Sciences 56B (2002): 409-17

Improving memory in old age through implicit self-stereotypes – Becca Levy – Journal of Personality and Social Psychology 71 (1996): 1092-1107






Psychology and Physiology are deeply connected

How do you feel when someone tells you how beautiful/handsome you look? Doesn’t it change your self-perception even if for few minutes or hours? But guess what, it has effects beyond your imagination.

In one of the most fascinating studies we’ve read, fifty-one women were made to have a short conversation on the phone with randomly selected men, thanks to researchers Mark Snyder, Elizabeth Tank and Ellen Bercheid. The women chitchatted about ordinary things – what they did for a living, their background – things you’d normally chat with strangers. But unlike the women, each man had received a bio and a snapshot of her. The bio was accurate, but the photos were fake. Half were of very pretty women, and other half of less attractive women.

As expected the men glanced through the bios, but they gave a hard look at the photos. Before talking to the women, each man was asked to rate his expectations of her. First group of men who saw photos of pretty women expected to interact with sociable, poised, humorous and socially adept women. Second group of men who saw photos of less attractive women expected to interact with unsociable, awkward, serious and socially inept women.

This where the experiment really began. The researchers recorded the calls and created clips of the women’s voices only. These clips were played out to a third group of random men, who knew nothing about the experiment. Listening to just the women’s side of the conversations, this third group of men were asked to rate their expectation of the women. Guess what, they attributed the same traits to the women that men of the first and second group had attributed to them, based on their fake photos.

How did this happen? The researchers explained – Once the men of the first and second group, formed their opinion of the women, it affected every aspect of how they interacted with them. The men talking on the phone with someone who they believed to be pretty, listened more actively and were more engaged. These “pretty” women on the other end unconsciously picked up on cues the men were sending them and took on the characteristics that the men expected them to have. Being thought of as beautiful made the women actually think of themselves as beautiful and exhibit their ‘beauty’ in their conversations. The third group in turn picked up on the cues from the voices of the “pretty” women and rated them as sociable, poised, humorous and socially adept women! Similar was the outcome for women’s voices based on the second group of men’s opinions.

Source: ‘Social perception and Interpersonal behavior: On the Self-fulfilling nature of social stereotypes’ – Journal of Personality and Social Psychology 35 (1977): 656-66.






 

The Smart Water Bottle Experiment

Drinking water is essential to human health. The amount one should drink varies from person to person based on gender, age, height, weight, physical activity, sweat levels, metabolism level, body temperature, humidity levels, external temperature, altitude, quantity and quality of food intake, quantity and quality of other fluids’ intake and host of other details. When you don’t get enough water, every cell of your body is affected. You lose a lot of electrolytes, including sodium, potassium and chloride, which are essential to your body’s functions. Pretty much all of your cellular communications revolve around sodium and potassium, including muscle contractions and action potentials. Fatigue, lethargy, headaches, inability to focus, dizziness and lack of strength are all signs of dehydration. Nature has given us a powerful alert system – thirst. But in our busy chaotic lives we often ignore it and forget to drink water.

 

 

Behavioural Design vs awareness

There is enough information about why we should drink more water, yet most people feel they don’t drink enough. Education doesn’t change behaviour.

Behavioural change requires a different approach. Drinking water regularly is a good habit. Habits are essentially automatic in nature, where one does not consciously think about the action. In other words, habits are auto-pilot behaviours. For a behaviour to become a habit, it requires three things to come together – trigger, action and reward. When the loop gets completed, the habit sets into place. For example, over a period of time we have gotten used to waking up in the morning (trigger), brushing our teeth (action) and feeling fresh (reward). To create good habits, initially conscious effort is required. However, we humans are lazy, so the lesser the effort to get the habit started, the better. Eg. We forget to drink water during the day. So if there’s a trigger like a reminder from the water bottle, we’re likely to drink water. Over time the action of opening the water bottle because of the reminder can become auto-pilot i.e. become a habit. This approach led us to create a water bottle that glowed and beeped that gently nudged people to drink water 16% more.

 

The Experiment

We chose to do an experiment in an office of one of our corporate clients. The administration department of that company would keep filled-water-bottles on the desk of each employee every morning and refill it once every evening. So we bought the same type of water bottles for our experiment so as to not draw any suspicion amongst participants. And we created two versions of caps. In the first version of the cap, we fitted a chip which recorded the number of times the water bottle was opened. In the second version of the cap, we fitted a chip which recorded the number of times the water bottle was opened and in addition, the cap now glowed and beeped once after every two hours of the water bottle being opened. If the bottle wasn’t opened, then the cap would glow and beep after an hour. When the water bottle was opened, the cap would sense it and stop glowing. In both versions the chip was hidden inside the caps.

Creating prototypes of both versions of water bottle caps took longer and was costlier than we expected (planning fallacy). We could only produce a total of 70 water bottle caps over more than a year. Thirty-five pieces of each version – first version with recording chip without glow and beep and second version with recording chip with glow and beep. Because of being able to produce 70 water bottle caps we chose to randomly select thirty-five participants from the office employees who wished to participate in our experiment.

In week 1 we gave them our similar looking water bottles with the first version of the cap with recording chip hidden in it. In week 2 we replaced the caps with the second version of the cap with the recording chip with the glow and beep. We accounted for data from Monday morning to Friday night in both weeks. We then compared the data of how many times the water bottle was opened with the numbers of hours the employees had spent in office on each day of Week 1 (no glow and beep) and Week 2 (glow and beep). Had we been able to conduct the experiment amongst a larger set of sample, we would have chosen the typical control group and treatment group, but due to the above mentioned capacity, time and money constraints we did a before-and-after format for this experiment.

 

The Results

In week 2 employees opened the water bottles 16% more than in week 1. It means the employees were not sufficiently hydrated with regular water bottles even though they were kept on their desk right in front of their eyes. The simple Behavioural Design of glow and beep water bottle caps got employees to drink 16% more frequently than without the Behavioural Design nudge.

 

Frequently asked questions

Q. How much water does one need?

A. Scientific studies are inconclusive on the amount of water required by an adult. Some say its 3 litres. Some say 2.5 litres. Some (Mayo clinic) say for men its 3 litres and for women its 2.2 litres. But fact is that calculating how much water you need depends upon your gender, age, height, weight, physical activity, sweat levels, metabolism level, body temperature, humidity levels, temperature, altitude, quantity and quality of food intake, quantity and quality of other fluids intake and host of other reasons. It’s extremely difficult to calculate real time hydration levels accurately.

Q. Why didn’t we create a bottle that could calculate how much water each individual person needed?

A. To do that we’d need to know people’s gender, age, height, weight, physical activity, sweat levels, metabolism level, body temperature, humidity levels, temperature, altitude, quantity and quality of food intake, quantity and quality of other fluids intake and host of other details. It’s extremely difficult to calculate real time hydration levels accurately. Sensors and software that can capture all of the above seamlessly are very expensive as of date. Measuring only some of the inputs would lead to an inaccurate result that would be misleading. So we used a simple rule of thumb of drinking water every two hours to stay hydrated.

Q. What’s the best way to judge whether you are hydrated or dehydrated?

A. The most scientific and simplest way to judge whether you are hydrated or dehydrated is to look at the colour of your urine. If your urine is crystal clear it means you’re probably drinking too much water. If its light or mild yellow it means your drinking an adequate amount of water. If its proper yellow or darker it means you need to drink more water. If its brown you need to visit a doctor.

 

Sources:

Mild Dehydration Affects Mood in Healthy Young Women – Lawrence E. Armstrong, Matthew S. Ganio, Douglas J. Casa, Elaine C. Lee, Brendon P. McDermott, Jennifer F. Klau, Liliana Jimenez, Laurent Le Bellego, Emmanuel Chevillotte and Harris R. Lieberman – The Journal of Nutrition – 21 December, 2011.

Mild dehydration impairs cognitive performance and mood of men – Matthew S. Ganioa, Lawrence E. Armstronga, Douglas J. Casaa, Brendon P. McDermotta, Elaine C. Lee, Linda M. Yamamotoa, Stefania Marzano, Rebecca M. Lopez, Liliana Jimenez, Laurent Le Bellego, Emmanuel Chevillotte and Harris R. Lieberman – British Journal of Nutrition – Volume 106 / Issue 10 / November 2011, pp 1535-1543

http://www.scientificamerican.com/article/strange-but-true-drinking-too-much-water-can-kill/

Lawrence E. Armstrong – an international expert on hydration who has conducted research in the field for more than 20 years (professor of physiology in UConn’s Department of Kinesiology in the Neag School of Education)






This article of ours first appeared in Mint on 12th Feb, 2018.

Imagine you have units of ABC mutual fund. You consider switching to XYZ mutual fund, but don’t. One year passes and you find that you would have made Rs1 lakh more if you had switched to XYZ mutual fund. How would you feel? Now imagine another scenario where you have units of ABC mutual fund, and during the year you switched to XYZ mutual fund. One year passes and you find that you would have made Rs1 lakh more had you kept ABC mutual fund. How would you feel? Which condition would make you feel worse?

Studies by Nobel-winning behavioural scientist Daniel Kahneman and his colleague Amos Tversky have found that 92% of people find the second condition worse. The mistake of an action seems worse than a mistake from inaction. It generates more regret because the first condition is like an opportunity lost whereas the second condition is an actual loss. The second condition translates to seeing oneself as a loser, but not the first. The monetary loss is followed by a psychological loss from admitting you made a mistake. That’s why losses cause a lot of pain.

The region of the brain associated with evaluating negative emotions like pain and disgust is called ‘insula’. When people smell vomit or see a cockroach, the insula bursts into action. The insula also lights up when we lose money. In a study by M.P. Paulus et al, the insula was roughly three times as active after people lost money as it was after they won money. The more intensely the insula fired, the more likely the person was to pick a lower-risk option the next time.

Losing money on an investment is like smelling rotten food, it’s disgusting. We try to move away from it, wipe it off our memory and want to wash our hands off it. That explains why investors, including me, find it difficult to sell an investment when its price is down, since the notional loss will now get converted into actual loss. That makes most people like to believe that the price of the loser investment will go up one day and that’s when we’ll sell it. The thinking goes, ‘If we sell it now and it bounces back, we would have made two mistakes —one buying high and two selling low. If we hold on and it bounces back, we will feel much better.’ However, if we hold on and it doesn’t bounce back, it will be a bigger loss than had we sold it. Hanging on makes sense only if we believe that the investment has value and that value is more than the existing low price of the investment. However, that’s a tough decision which leaves most investors paralytic.

An analysis of 2 million transactions of Finnish investors by behavioural scientists Hersh Shefrin and Meir Statman, found that they are 32% less likely to sell a stock after a sharp fall in price. Professional money managers in Israel cling to their losing stocks for an average of 55 days—more than twice as long as they hold winners. A study by David Harless and Steven Peterson that looked at 97,000 trades, found that investors cashed in on 51% more of their gains than their losses, even they could have raised their average annual returns though by 3.4% points if they had held on to winners and dumped the losers. The study by Martin Weber and Colin Camerer found that among 450,000 trades in 8,000 accounts at a brokerage firm, 21.5% of clients never sold a single stock that had dropped in price. Researchers Zur Shapira and Itzhak Venezia found that new mutual fund managers sold 100% of the stocks ranked at the bottom, implying that their predecessors would have been paralyzed by their own mistakes that only a new person could clean the portfolio. Karl Case and Robert Shiller find that people trying to sell their house hold out longer when they are facing a loss, and will often take the house off the market and not sell, rather than lose money on it.

Dealing with losses is painful, but thinking about the loss differently could help. One behavioural design solution could be to find another investment that you would like to put money into. Think of the proceeds as funding the new investment by selling the loser investment. It will help you generate cash for buying the new investment and you can write off the loss to offset your capital gains and reduce your taxable income. Moreover, the learning of what went wrong should be undertaken by introspecting why the loser investment was originally bought and why its value had changed over time. If the investment still has value and potential, then holding on would make sense. If not, the faster you can sell, the lesser will be your loss.






Employee performance and happiness talk (Gartner)

Our latest talk was on applying behavioural science for improving employee performance and happiness at the Gartner Symposium ITXPO, Goa for India’s Top 300 CIOs.

Behavioural science experiments on employee performance and happiness show that businesses often operate in ways that are not aligned to principles of human psychology, leading to engagement and motivation levels that are disappointing.

For example, when performance appraisals are done annually, employees are also given feedback on improvement and learning. But behavioural science shows that the focus of employees at that stage is on earning, while learning shuts down. Companies can benefit to a great extent if the ‘scope of improvement’ conversation is done as a separate exercise at a separate time than the performance review and appraisal.

The talk covered behavioural science findings on rewards, recognition, incentives – monetary, non-monetary, experiential; performance appraisal, feedback, teams, collaboration, workplace design, change management, productivity, culture and core values.

Like we always do, the talk focussed on simple but innovative and practical Behavioural Design nudges that could make a big difference in employee performance and happiness.






 






Comedian Cyrus Broacha interviews us on funny behaviours and Behavioural Design.

Cyrus’s nonsense makes a lot of sense.

Super witty and sharp Cyrus knows more about Behavioural Design than anyone who has interviewed us.






Part 5 of Behavioural Design interview with Hrishi K of 94.3 Radio One (last one in the series).

 






Emotions hugely affect decision-making

We’ve all experienced how we like to shop when we’re feeling down. While that says a lot about our buying behaviour, we never imagined that emotions played a huge role in our selling behaviour as well. This phenomenon is explained by an interesting study below.

Behavioural scientist Jennifer Lerner and her colleagues induced either sadness or no emotion in participants by having them view different film clips. Those assigned to the sadness-inducing condition watched a movie clip from The Champ, which featured the death of a boy’s mentor; following that, they were asked to write a brief paragraph about how they’d feel if they’d been in the situation themselves. Those in the no-emotion condition watched an emotionally neutral film clip featuring fish and then wrote about their day-to-day activities. Afterward, half the participants were asked to set a price to sell some highlighters and the other half were asked to set a price to buy the same highlighters.

Turned out that sad buyers were willing to purchase the item for around 30% more than emotionally neutral buyers. Here’s the interesting part. Sad sellers were willing to part with the item for around 33% less than emotionally neutral sellers! Researchers also found that the participants had no idea that they had been so deeply affected by the residual feelings of sadness.

Behavioural scientists Christopher Hsee and Yuval Rottenstrich argue further that in emotionally charged situations we become less sensitive to the magnitude of numbers – we are more likely to pay attention to the simple presence or absence of an event. We get persuaded by offers when we shouldn’t be. Like when we’re got our eyes set on a new beauty (car) and if the difference between the price of the car and what we’re willing to pay for it is say Rs. 3 lakh – a good salesperson will manage to persuade us by throwing in one or two additional items free like a mirror lock or steering lock, whose value is realistically nowhere near Rs. 3 lakhs.

Lesson for negotiations, buying and selling decisions – examine how you feel and put off the decision until you’re feeling emotionally neutral.

Source: Lerner, A. Small and G. Lowenstein – Heart strings and purse strings: carryover effects of emotions on economic decisions – Psychological Science, 15:337-41 (2004)



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