Direct manipulation versus agents predictables
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This document contains a summary of concepts from social psychology applied to a scene depicting Carol and her friends. It includes 6 concepts:
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machine think and behave as humans do? The development of Artificial intelligence
started to find a solution. People started to develop an intelligent program that can
act like a human.
One or a combination of multiple branches can be used to make an intelligent system
that can act like a human.
What is the artificial intelligence(ai) approach?
In the real world, knowledge has few challenges -
● The volume of knowledge is huge, and difficult to manage and store on a computer.
● Knowledge is not organized and well-formatted. For example, doctors write a
prescription on sample paper which is difficult to store on a computer. That’s why we
need an intelligent system to handle it.
● The nature of knowledge is changing constantly. The artificial intelligence (ai)
approach is a way to organize and use the knowledge smartly in such a way that -
● It should be understood by the people who provide it. It should be editable and
useful for the future.
Gaming - Look at computer games such as chess where machines think many
possible combinations/patterns in playing chess move.
Natural language processing - Google translator is an example of natural
language processing where we can interact with the computer and change the human
spoken natural language in different human spoken language.
Vision systems - Face recognition is an example of a vision system where
computers identify different visual inputs p
ut on the computer. The office attendance system is widely used to recognize
different staff in the office to register in and out time.
Speech Recognition - Google audio translator is an example of an intelligent
system which are capable to transform audio track in form of sentence. Nowadays
expert speech recognition systems are capable
to handle changes in a human tone, bac
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humans learn and plan to solve a problem in his way. Translating human thought
and developing intelligent software is the final goal in Artificial intelligence. Can a
machine think and behave as humans do? The development of Artificial intelligence
started to find a solution. People started to develop an intelligent program that can
act like a human.
One or a combination of multiple branches can be used to make an intelligent system
that can act like a human.
What is the artificial intelligence(ai) approach?
In the real world, knowledge has few challenges -
● The volume of knowledge is huge, and difficult to manage and store on a computer.
● Knowledge is not organized and well-formatted. For example, doctors write a
prescription on sample paper which is difficult to store on a computer. That’s why we
need an intelligent system to handle it.
● The nature of knowledge is changing constantly. The artificial intelligence (ai)
approach is a way to organize and use the knowledge smartly in such a way that -
● It should be understood by the people who provide it. It should be editable and
useful for the future.
Gaming - Look at computer games such as chess where machines think many
possible combinations/patterns in playing chess move.
Natural language processing - Google translator is an example of natural
language processing where we can interact with the computer and change the human
spoken natural language in different human spoken language.
Vision systems - Face recognition is an example of a vision system where
computers identify different visual inputs p
ut on the computer. The office attendance system is widely used to recognize
different staff in the office to register in and out time.
Speech Recognition - Google audio translator is an example of an intelligent
system which are capable to transform audio track in form of sentence. Nowadays
expert speech recognition systems are capable
to handle changes in a human tone, bac
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Software agents
software agents course details and methods of programming in jade.
A software agent is a persistent, goal-oriented computer program that reacts to its environment and runs without continuous direct supervision to perform some function for an end user or another program. Some, but not all, software agents have UIs (user interfaces). A software agent is the computer analog of an autonomous robot.
Software agents represent an evolutionary step beyond conventional computer programs. Software agents can activate and run themselves, not requiring input from or interaction with a human user. Software agents can also initiate, oversee, and terminate other programs or agents including applications and online intelligent agents.
Among a great many other applications, software agents:
Conduct targeted Internet searches.
Check and prioritize incoming e-mail.
Test new computer games.
Fill out e-forms.
Conduct online job searches.
Synchronize social networking profiles.
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Find good deals in e-commerce.
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Agents have the potential to actively participate in accomplishing tasks, rather than serving as passive tools as do today's applications.
However, people do not want generic agents--they want help with their jobs, their tasks, their goals.
Agents must be flexible enough to be tailored to each individual.
The most flexible way to tailor a software entity is to program it.
The problem is that programming is too difficult for most people today.
Lifelike computer characters
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Many software agent researchers are content to make agents that are merely “useful,”
Others seek the more ambitious goal of making “complete” agents that are
highly visible in the user interface,
project the illusion of being aware and intentioned,
and are capable of emotions and significant social interaction.
The Persona project (Ball et al. 1997) was formed to prototype possible interfaces to future computer-based assistants, in this case a “conversational, anthropomorphic computer character that will interact with the user to accept task assignments and report results.”
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This document provides an introduction to software agents. It discusses how agents can help overcome limitations of direct user interfaces and simplify distributed computing. Agents are described as software entities that function continuously and autonomously to help users by carrying out tasks on their behalf without needing constant guidance. Well-trained intelligent agents that learn from experience could act as "digital butlers" or "digital sisters-in-law" to handle information filtering and task automation personalized to each user.
How might people interact with agents
Probably all the major software manufacturers are exploring the use of intelligent agents. Myths, promises, and reality are all colliding. But the main difficulties I foresee are social, not technical: How will intelligent agents interact with people and perhaps more important, how might people think about agents?
The new crop of "intelligent agents" are different from the automated devices of earlier eras because of their computational power:
They take over human tasks, and they interact with people in human-like ways, perhaps with a form of natural language.
Good user interface principles
Good User Interface Principles
Good User Interface Principles
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Direct manipulation to delegation
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interface agents metaphors with characters
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Direct manipulation versus agents predictables
- 1. Direct Manipulation Versus Agents: Paths to Predictable, Controllable, and Comprehensible Interfaces By: Aryan Rathore Head Of Aryan Dell Corporation Jaipur Aryan Computer Organization Jaipur Mob:- 8560089002
- 2. • Cautious optimism expressed, Shneiderman, a longtime advocate of direct manipulation, is troubled by the concept of intelligent interfaces in general.
- 3. • First, such a classification limits the imagination • Second, the quality of predictability and control are desirable • Users will have a reduced sense of responsibility for failures… • Machines are not people
- 4. Shneiderman observes that agent proponents have not come up with good definitions of what is and is not an agent. • Is a compiler an agent? • How about an optimizing compiler? • Is a database query an agent? • Is the print monitor an agent? • Is e-mail delivered by an agent? • Is a VCR scheduler an agent?”
- 5. • His examination of the literature reveals six major elements of the agent approach: • Anthropomorphic presentation, • Adaptive behavior, • Acceptance of vague goal specification, • Gives you what you need, • Works while you don’t, • and works where you aren’t
- 6. • The alternative to a vision of computers as intelligent machines is that of predictable and controllable user interfaces, based on direct manipulation of representations of familiar objects.
- 7. His examples (tree maps and dynamic queries) • Informative and continuous feedback, • Meaningful control panels, • Appropriate preference boxes, • User-selectable toolbars, • Rapid menu selection, • Easy-to-create macros, • and comprehensible shortcuts.
- 8. He argues, rather than vague visions of intelligent machines, these will allow users to specify computer actions rapidly, accurately, and confidently.
Editor's Notes
- Anthropomorphic:Having human characteristics