IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-1-4842-9502-1_7.html
   My bibliography  Save this book chapter

Human-Centered AI Developer Experience Design

In: AI Startup Strategy

Author

Listed:
  • Adhiguna Mahendra

Abstract

In the previous chapter, we learned how to build a human-centered AI experience design oriented toward the end user. In this chapter, we will learn how to design AI developer experience (DX), a methodology aimed at making the development process of AI-powered applications more straightforward and intuitive for developers. By focusing on the needs and preferences of developers, this approach can help streamline the creation of AI-based products and services. In addition, by providing a framework for incorporating AI into applications, AI developer experience design can help reduce the risk of errors and glitches during development. In building a developer experience for AI products, design thinking is essential to create an intuitive and user-friendly experience that contributes to the AI product's robustness and trustworthiness. By empathizing with the needs and preferences of developers and using design thinking methodologies to guide the development process, teams can create an experience tailored to their target audience's needs. This allows for a more efficient and effective development process and an end product more likely to succeed. In this chapter, we will explore the role of design thinking in creating a successful developer experience for AI products and provide two case studies that illustrate its application in practice.

Suggested Citation

  • Adhiguna Mahendra, 2023. "Human-Centered AI Developer Experience Design," Springer Books, in: AI Startup Strategy, chapter 0, pages 213-257, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4842-9502-1_7
    DOI: 10.1007/978-1-4842-9502-1_7
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-1-4842-9502-1_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.