Defaults

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Sets coordinate mode for various commands to be relative to either the active window or the screen.

Parameters

Default the failure to do that which ought to be done. Thus, failure to make payment under a contract is a default; more specifically, failure to repay or otherwise comply with the terms of a loan agreement are acts of default.

  • 14 synonyms and near synonyms of defaults from the Merriam-Webster Thesaurus, plus 15 antonyms and near antonyms. Find another word for defaults. Defaults: as in fails, ignores. Synonyms: disregards, ignores, overlooks Antonyms: heeds, minds, remembers Find the right word.
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  • The list of sovereign debt crises involves the inability of independent countries to meet its liabilities as they become due. These include: A sovereign default, where a government suspends debt repayments.
TargetType

The type of target to affect. Specify one of the following words:

ToolTip: Affects ToolTip.

Pixel: Affects PixelGetColor, PixelSearch, and ImageSearch.

Mouse: Affects MouseGetPos, Click, and MouseMove/Click/Drag.

Caret: Affects the built-in variables A_CaretX and A_CaretY.

Menu: Affects the Menu Show command when coordinates are specified for it.

RelativeTo
Defaults

The area to which TargetType is to be related. Specify one of the following words (if omitted, it defaults to Screen):

Screen: Coordinates are relative to the desktop (entire screen).

Relative: Coordinates are relative to the active window.

Window[v1.1.05+]: Synonymous with Relative and recommended for clarity.

Client[v1.1.05+]: Coordinates are relative to the active window's client area, which excludes the window's title bar, menu (if it has a standard one) and borders. Client coordinates are less dependent on OS version and theme.

Remarks

If this command is not used, all commands except those documented otherwise (e.g. WinMove and InputBox) use coordinates that are relative to the active window.

Every newly launched thread (such as a hotkey, custom menu item, or timed subroutine) starts off fresh with the default setting for this command. That default may be changed by using this command in the auto-execute section (top part of the script).

[v1.1.23+]: The built-in A_CoordMode variables contain the current settings.

Defaults

The area to which TargetType is to be related. Specify one of the following words (if omitted, it defaults to Screen):

Screen: Coordinates are relative to the desktop (entire screen).

Relative: Coordinates are relative to the active window.

Window[v1.1.05+]: Synonymous with Relative and recommended for clarity.

Client[v1.1.05+]: Coordinates are relative to the active window's client area, which excludes the window's title bar, menu (if it has a standard one) and borders. Client coordinates are less dependent on OS version and theme.

Remarks

If this command is not used, all commands except those documented otherwise (e.g. WinMove and InputBox) use coordinates that are relative to the active window.

Every newly launched thread (such as a hotkey, custom menu item, or timed subroutine) starts off fresh with the default setting for this command. That default may be changed by using this command in the auto-execute section (top part of the script).

[v1.1.23+]: The built-in A_CoordMode variables contain the current settings.

Related

Click, MouseMove, MouseClick, MouseClickDrag, MouseGetPos, PixelGetColor, PixelSearch, ToolTip, Menu

Examples

Same effect as the above because 'Screen' is the default.

DisneyWorld is the land of magic and fairy tales, but even there you cannot escapescience.

Whenordering something to eat, one of us (Jon) noticed that the default choices inkids' meals were all geared toward healthier options. (When you researchdecision-making for a living, it's hard not to observe choice architectureeverywhere, even on vacation.)

Default Programs Control Panels

The menu swapped soda for juice and french fries for fruits and vegetables. Indeed, a recent study shows that this change in Disney World's policy lead to the consumption of 21 percent less calories, 44 percent less fat, and 43 percent less sodium. These defaults are helping 'the happiest place on Earth' become a healthier one.

Defaults areone of applied behavioral science's biggest success stories. There are two reasonsunderlying their widespread adoption: first, defaults canbe very simple, even consisting of just the one-word difference between, 'Ifyou want to be an organ donor, please check here,' (opt-in) and, 'If you don't want to be an organ donor, pleasecheck here' (opt-out). Second, defaults are surprisingly effective in a varietyof contexts, in retirement planning decisions, health decisions, as well asconsumer decisions.

Despite, or perhaps because of, the widespread use andsuccess of defaults, a few important questions have remained in the background:How have defaults been implemented? Does it matter how they are implemented?

Knowing when and why defaults work highlights the importance of actively, rather than passively, considering and applying choice-architecture tools.

Default App Settings

There are many ways researchers, policymakers, and other practitioners have attempted to use defaults. As alluded to above, defaults can be implemented in a variety of domains, such as in consumer settings (CFL versus incandescent lightbulbs) or health domains (organ donations). Defaults can also vary in how easy it is to opt out, ranging from a click on a website to requesting several forms under Austria's organ donation law.

The second question revolves around how to see theeffectiveness and widespread adoption of defaults in context: defaults are onlyone of many tools available in a choice architects toolbox. For example, whilecitizens could be defaulted into health insurance plans, they could also beasked to select their health insurance plan from a smaller, curated set.Similarly, employees could be defaulted into retirement savings plans whenjoining a company, or, alternatively, they could be given a limited time windowin which to sign up. Policymakers thus have an array of options to choose from,beyond defaults, when determining how to use choice architecture to attaindesired outcomes.

What matters, then, is understanding how effective defaults are as a choice architecture tool, as well as how different kinds of implementations alter a default's effectiveness. This was the aim of a meta-analysis of all prior default studies, which we recently published in Behavioural Public Policy. Meta-analysis helps provide a summary statistic that reflects how strong a default is, on average, in prior work. Because there is variation in the effectiveness of defaults across different studies, we can exploit this variation to help us understand when defaults are more likely to be effective.

In total, we found 58 default studies with a total samplesize of 73,675 participants. The studies came from a wide variety of contexts,topics, fields, and countries. One thing became apparent in our analysis: onaverage, defaults are a strong choice architecture tool, shifting decisions by 0.63to 0.68 standard deviations. What this means is that in decisions where thereare two possible options, the option that is preselected is on average chosen27 percent more often than the option that is not preselected. That means thatthe average default study was about two times more effective in changingbehaviors as other strong behavioral interventions that shift decisions by 0.2to 0.3 standard deviations—one of them being, for example, Opower's social normintervention on energy savings, another widely popular choice architecturetool. So, on the one hand, defaults work!

On the other hand, there were also substantial differencesin the effectiveness of defaults. In some studies, a default was far moreeffective than in other studies; and in others yet, defaults did not alter participants'decisions. This is an important caveat, which highlights that choice architectsshould not blindly apply defaults to all situations, but instead be morecareful in when and how they implement defaults.

We wondered what factors make defaults particularly more likely to be effective. To do so, we drew on a theoretical framework which highlights that defaults operate through three channels: first, defaults work because they reflect an implicit endorsement from the choice architect—your company's HR department, your city's policy office, your credit card company, your child's school. Second, defaults work because staying with the defaulted choice is easier than switching away from it. Third, defaults work because they endow decision makers with an option, meaning they're less likely to want to give it up, now that it's theirs. As a result, we hypothesized that default designs that trigger more of these channels (also called the three Es: endorsement, ease, and endowment) would be more effective.

In our analysis, we find partial support for this idea. Thatis, we find that studies that were designed to trigger endorsement (defaultsthat are seen as conveying what the choice architect thinks the decision makershould do) or endowment (defaults that are seen as reflecting the status quo)were more likely to be effective.

In addition, we find that defaults in consumer domains tend to be more effective, and that defaults in pro-environmental domains (such as green energy defaults) tend to be less effective. What this highlights is that the intensity and the distribution of decision makers' underlying preferences—what it is that they care about and want—plays an important role in how effective defaults are. When decision makers care less about a particular choice, a default may be more persuasive in swaying their decision. Likewise, when preferences within a population are more varied, such that some people may have preferences that align with the default, but many people may not, then a default may be less effective.

When decision makers care less about a particular choice, a default may be more persuasive in swaying their decision.

One domain that people tend to care about deeply —and which tends to be divisive—is their environmental attitudes. As a result, someone who holds more pro-environmental attitudes may be more likely to stick with a default that offsets the carbon emissions arising from their flight, while someone who holds anti-environmentalism attitudes may be more likely to switch away from the default. In addition, environmental attitudes tend to vary broadly throughout the population, as research on the acknowledgement of human-caused climate change, or lack thereof, shows. As a result, both the strong intensity with which people hold environmental attitudes and their broad distribution in the population make it less likely that defaults will be effective.

In contrast, a domain that people tend to care less deeply about—and which tends to be less divisive—is which search engine they use. While there are many search engines available, like DuckDuckGo or Qwant, more than 75 percent of searchers currently go through Google. This metric is accounted for in part because Google is the default search engine on a number of browsers, including the company-owned Chrome, but also Firefox and Safari—a default setting that prompted Google to pay Mozilla and Apple billions of dollars last year. Because people don't care very deeply about which search engine they use, a default setting is likely to be more effective.

To help understand how to best design defaults, using the three Es and taking into account intensity and distribution of preferences, we put together a checklist of questions that policymakers and other practitioners could ask themselves during the next choice-architecture design meeting. We note that these questions are not exhaustive but highlight specific aspects to pay attention to when designing defaults.

Ourresearch exploring whenand why defaults work highlights the importance of actively, rather thanpassively, considering and applying choice-architecture tools. It alsoshows the benefits of understanding how they work. Such ideas may help us predicthow well a default could operate in a given setting and figure out how todesign defaults that work better. In addition, defaults may not always be themost effective solution. They represent just one of many tools in the choicearchitect's toolbox. To better explore when defaults should be used over othertools, choice architects should also evaluate the effectiveness of defaultsversus other possible interventions.

When introducing defaults into complex real-worldenvironments, choice architects thus need to be mindful that defaults are notthe same by default.





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