Wecall such technology an agent, also sometimes called a software agent, intelligent agent, conversa-tional agent, personal digital assistant, or intelligent interactive system.

For example, in control-theoretical analysis, we see the interaction as dynamically changing states.

For example, in interaction-as-rationality, courses of action emerge as a joint function of the user's goals and capabilities and the properties of the environment.

For example, statistical models, such as Fitts' law, describe a relationship that is considered a statistical determination.

For example, interaction-as-tool-use focuses on this idea (Chapter 19). Tools change people and their activities; in turn, this changes the tools.

An interactive AI system can possess an objective function it pursues when acting, for example, when correcting a character it flags as a typo.

In the case of particle physics, the propositions that make up a theory may concern the nature and behavior of particles.

HCI theories contain statements that link humans and technology and possibly some outcomes (e.g., poor usability, high user experience).

The effect of such automation critically dependson how well its design appreciates the actor’s unique capabilities.

One example is autocorrect, which automatically corrects typing errors while the user is typing. Another example is the use of word predictions, which allow the user to select a word from a set of word suggestions instead of typing out the word in full.

For example, text entry methods such as eye typing are designed to allow nonspeaking users with motor disabilities to enter text using their eye movements only.

Text entry can also be carried out via spoken dialogue.

When you enter a letter (a turn), a small pop-up appearsfor you to confirm your press (a turn). A word prediction list may show possible completions of theword. At every press, these are updated, over time forming a graphical dialogue between the userand the system.

An interactive AI system can possess an objective function it pur-sues when acting, for example, when correcting a character it flags as a typo.

For example, in control-theoretical analysis, we see the interaction asdynamically changing states.

For example, ininteraction-as-rationality, courses of action emerge as a joint function of the user’s goals and capa-bilities and the properties of the environment.

Here, the statistical model (regression) links the time it takes for a user toelicit a response to the design of the task environment (distance and width of buttons).

For example, statistical models, such as Fitts’ law, describe a relationship that is considered a sta-tistical determination.

The pressing of a button would count as a mechanistic determination.

For example, they can talk about information, difficulty, working memory, and so on.

HCI theories contain statements that link humans andtechnology and possibly some outcomes (e.g., poor usability, high user experience).

In the case of particle physics, the propositions that make up a theory may con-cern the nature and behavior of particles.

Interaction also occurs in different contexts, including work, leisure, and in-between contexts such as commuting.

It has been used to describe individuals, groups, and communities using computers.

Pressing a button takes about a hundred milliseconds; adopting an information system in a large organization can easily take months.

We have used it to discuss various applications, from a user typing on a smartphone to a team of information workers communicating via email.

For example, a photocopier can automatically sort and collate copies.

Ithasbeenusedtodescribeindividuals,groups,andcommunitiesusingcomputers.

Wehaveusedittodiscussvariousapplications,fromausertypingonasmart-phonetoateamofinformationworkerscommunicatingviaemail.

we know from Lab studies that children understand the meaning of stuff at first or second or third site you