Artificial Intelligence: Human-computer Interaction Overview

Artificial Intelligence    |    Intermediate
  • 14 videos | 55m 6s
  • Includes Assessment
  • Earns a Badge
Rating 4.4 of 63 users Rating 4.4 of 63 users (63)
In developing AI (artificial intelligence) applications, it is important to play close attention to human-computer interaction (HCI) and design each application for specific users. To make a machine intelligent, a developer uses multiple techniques from an AI toolbox; these tools are actually mathematical algorithms that can demonstrate intelligent behavior. The course examines the following categories of AI development: algorithms, machine learning, probabilistic modelling, neural networks, and reinforcement learning. There are two main types of AI tools available: statistical learning, in which large amount of data is used to make certain generalizations that can be applied to new data; and symbolic AI, in which an AI developer must create a model of the environment with which the AI agent interacts and set up the rules. Learn to identify potential AI users, the context of using the applications, and how to create user tasks and interface mock-ups.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Define human computer interaction as a multidisciplinary field essential to computer science and describe its importance for the success of software companies
    List the components involved in human-computer interaction (hci) studies and specify their role
    Identify main objectives of hci studies
    Recognize the multidisciplinary nature of hci and list the areas most involved in the studies
    Describe the development of hci studies and their significance to the overall software development process
    Specify recent trends in hci research and list ideas that can become most impactful
  • List the tools commonly used for hci studies and specify their purpose
    Identify potential users of an ai application and define the context for its use
    Describe the role of a user-oriented approach in the success of ai applications
    Specify why explainability research in ai is required for developing user friendly applications
    Apply common tools used in hci to choose appropriate tasks for an ai application
    Work with simple mock-ups and identify techniques useful for developing interfaces
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 2m 9s
  • 3m 18s
    In this video, you will learn how to define Human Computer Interaction as a multidisciplinary field essential to computer science and describe its importance for the success of software companies. FREE ACCESS
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    3.  Main Components of HCI
    4m 36s
    After completing this video, you will be able to list the components involved in human-computer interaction (HCI) studies and specify their role. FREE ACCESS
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    4.  Goals of HCI Studies
    4m 22s
    In this video, learn how to identify the main objectives of HCI studies. FREE ACCESS
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    5.  Areas Involved in HCI
    4m 50s
    After completing this video, you will be able to recognize the multidisciplinary nature of HCI and list the areas most involved in the studies. FREE ACCESS
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    6.  HCI History
    4m 24s
    Upon completion of this video, you will be able to describe the development of HCI studies and their significance to the overall software development process. FREE ACCESS
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    7.  HCI Research Trends
    4m 41s
    After completing this video, you will be able to specify recent trends in HCI research and list ideas that have the potential to be most impactful. FREE ACCESS
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    8.  HCI Tools
    3m 49s
    After completing this video, you will be able to list the tools commonly used for HCI studies and explain their purpose. FREE ACCESS
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    9.  User and Context of an AI Application
    6m 18s
    In this video, you will learn how to identify potential users of an AI application and define the context for its use. FREE ACCESS
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    10.  Importance of a User-oriented Approach in AI
    3m 29s
    Upon completion of this video, you will be able to describe the role of a user-oriented approach in the success of AI applications. FREE ACCESS
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    11.  Explainability of AI
    4m 10s
    Upon completion of this video, you will be able to explain why explainability research in AI is required for developing user friendly applications. FREE ACCESS
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    12.  Defining Tasks for an AI Application
    3m 31s
    In this video, learn how to apply common tools used in HCI to choose appropriate tasks for an AI application. FREE ACCESS
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    13.  Interface Design
    4m 9s
    In this video, find out how to work with simple mockups and identify techniques useful for developing interfaces. FREE ACCESS
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    14.  Course Summary
    1m 21s
    In this video, we will summarize the key concepts covered in this course. FREE ACCESS

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