How Habits Form: What 115 Students Switching Universities Showed About Place

Habits are tied to the settings where you repeat them, which means the cheapest way to change one is usually to change the setting. In a 2005 study of 115 students transferring to a new university, people kept their exercise, newspaper and television habits only when features of the old situation survived the move. Where the location or the company changed, the habit stopped running by itself and behavior followed whatever the student intended that month. That is the research behind how habits form and why habit context cues matter more than motivation.

This post reports what the two main studies measured, what they left out, and what a week of context changes could look like if you take the findings seriously.

How much of daily life is habit?

Wendy Wood, Jeffrey Quinn and Deborah Kashy tried to count. Their paper, “Habits in Everyday Life: Thought, Emotion, and Action,” appeared in the Journal of Personality and Social Psychology (2002, volume 83, issue 6, pages 1281 to 1297). It reported two diary studies at Texas A&M University in which undergraduates wore a wristwatch programmed to chime on the hour. At each chime they wrote down what they were doing, what they were thinking about, how often they had done the activity in the past month and whether they usually did it in the same physical location.

The authors defined a habit as something done just about every day and usually in the same place. By that rule, 35 percent of the activities in Study 1 (70 students, one day of recording) and 43 percent in Study 2 (209 students, two days) counted as habits. A later paper by the same lab, Wood, Tam and Guerrero Witt (2005), cites a community sample from Quinn and Wood (2004) in which 47 percent of daily activities met the same test.

The thought data is the more interesting half. When students were doing habits, their thoughts matched what they were doing less often than not: 40 percent matched in Study 1 and 44 percent in Study 2, against 70 and 60 percent for non-habits. Their minds were elsewhere. The authors also found that habitual activities came with lower reported stress and a lesser sense of losing control than non-habitual ones.

Two details keep the numbers honest. First, the authors say that about 40 percent of the time people still thought about what they were doing during habits, so the right description is minimal, sporadic monitoring, not an empty head. Second, they estimated that their participants did almost half of their behaviors without thinking about them, and they pointed out that this was far below the widely repeated speculation of around 95 percent (from Bargh and Chartrand, 1999). The sample was college students, who may spend more of the day on studying and new situations than other adults do.

What did the transfer-student study test?

If a habit is cued by its setting, then removing the setting should break the habit. The natural experiment was a change of university. Wood, Tam and Guerrero Witt, “Changing Circumstances, Disrupting Habits,” Journal of Personality and Social Psychology (2005, volume 88, issue 6, pages 918 to 933), recruited 115 students (57 men and 58 women) who were transferring to Texas A&M in the spring 2002 semester. About 70 percent of them moved to a new community; the rest changed colleges within the same one.

Students filled in questionnaires at an orientation session before the move and again about four weeks into the new semester. They rated three behaviors: exercising, reading the newspaper and watching television. For each they reported how often they did it, their intentions, where they did it, who else was around and how similar the circumstances felt at the new school. Habit strength combined frequency with stability of circumstances, because frequency alone did not predict well.

The pattern fit the cue idea in seven of the twelve regression models the authors ran (four context measures across three behaviors, with the predicted interaction appearing in two for exercise, two for television and three for newspaper reading). In plain terms:

Behavior	What kept the habit going after the move	What happened when it changed
Exercise	Exercising in the same kind of place (home or gym)	Strong exercise habits faded; behavior followed current intentions
Television	Watching in a similar location, or perceiving similar circumstances	Strong TV habits no longer predicted viewing; intentions took over
Newspaper	Reading with the same people around, or similar perceived circumstances	The habit weakened; intention to read predicted whether students did

One result shows the mechanism well. Students with strong exercise habits who felt little had changed kept exercising at roughly the same rate regardless of how much they intended to (a slope of -0.16 between intention and behavior). Students with strong habits who perceived a change looked like students with no habit at all: those with more favorable intentions exercised more (slope 0.51). A strong habit in a new setting turned into an ordinary choice.

Students with weak or no habits barely responded to context change. The cue story applies to habits that exist, not to everything a person does.

What does this study not show?

Several limits matter before anyone builds a program on it.

1. It was correlational. Transfer was not randomly assigned, and the authors call the design quasi-experimental. They checked whether students with unwanted habits had picked new settings on purpose and found no sign of it, but they say future work should use experiments to pin down cause.
2. It relied on self-report. The “before” ratings described the previous semester, collected at orientation, and the “after” ratings described the month just passed.
3. The effects were uneven. Seven of twelve models fit the prediction. With simple frequency as the habit measure instead, the main finding held only for newspaper reading with other people as the cue.
4. It stopped at one month. The study says nothing about whether students built new habits in new settings or how long that took.
5. Habits were not all of one kind. Some of the cues were social. The authors note that habits can be socially shared, since people who read the paper with roommates kept doing so only if the company stayed similar.

A further check from outside this lab is a field experiment by Bas Verplanken and Deborah Roy at the University of Bath (Journal of Environmental Psychology, 2016, volume 45, pages 127 to 134). With 800 participants, half of them recently relocated, an intervention promoting sustainable behaviors worked better for the movers, and the data suggested a window of about three months after moving. The authors themselves describe the boost as small and the behavior data as self-reported.

Nor does any of this mean that environment tweaks are a miracle. The evidence on nudges more broadly is contested: one 2022 reanalysis found the average effect indistinguishable from zero once publication bias was modeled, with food-related choices the exception, as covered in a post on the nudge publication-bias dispute.

Why does changing the place work better than trying harder?

The studies suggest two reasons that do not depend on effort. A habit is triggered by cues, so if the cues are absent the behavior has no trigger. And when habit control drops out, the 2005 data show intentions take over: for students whose context changed, wanting to exercise predicted exercising. A good intention that is useless in the old room is useful in a new one.

That makes the old advice to try harder look backward. Trying harder is a way of fighting a cue-driven response with attention. Changing the room removes the cue and leaves you with the intention you already had.

It also explains an oddity about bad habits. A habit you want to stop is held in place by the same cues as a habit you want to keep, so rearranging the cues is a better first move than a resolution. People who score high on self-control questionnaires also report weaker, less conflicted desires in daily life, not more resisting, as a week-long beeper study of 205 adults found. For cues that cannot be moved, such as the bed you wake up in, the next section is where the plan has to get creative. The same cue logic is behind the common debate over keeping the phone in the bedroom, where the right answer depends on what the phone is actually cueing.

What does a week of context changes look like?

The studies do not prescribe this. It is an application of their logic, and it is untested as a package. Pick one habit you want gone and one you want to start, and change one cue per day.

1. Day 1: map the cues. Write down where, when, with whom and in what mood the habit happens. For the unwanted one, include where the phone is. This is the same cue list the students rated.
2. Day 2: move the phone. Charge it outside the room you sleep or work in, or at least out of arm’s reach of the chair where you scroll. A distance of a few metres is enough to break the automatic reach.
3. Day 3: change the seat. Eat, work or watch television somewhere else. The newspaper result suggests company matters too, so try a different person or none.
4. Day 4: change the route. Take another way to the same place. If a stop on the usual route (a shop, a café) cues a purchase, skip the stop.
5. Day 5: rearrange the start of the new habit. Put the shoes, book or guitar where the old cue used to be, and do the new thing in a place it has never happened.
6. Day 6: change the room. Swap what the room is for. Move the desk to face another wall, or work at a table you never use for anything else.
7. Day 7: review. For each habit, note whether the intention now decided what you did. If the old behavior still fired, a cue is still in place that you did not move.

The bed is the hardest context to change, because the alarm, the pillow and the phone all sit in the same spot. One option is a wake-up tool that requires you to be somewhere other than the bed when it stops. DontSnooze does this by asking for a short video of you up before it quiets, which works as a cue change even though nobody has tested it as one.

If you also want the novelty side of a new place, why a week away feels longer than a month at home covers that literature.

What would settle it?

Nobody has randomly assigned people to keep or lose their habit cues and tracked what they built afterward over months. Until that exists, the supported claim is narrow: in one sample of 115 transferring students, strong habits survived only where parts of the setting did, and when the setting changed, what people intended started to matter. The next step is yours to run: change one cue, count the days the old behavior fails to fire, and note when it comes back.