In Proceedings of CIG

Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation

Jichen Zhu, Rafael Bidarra, Alex J Champandard, Simon Colton, Reynald Francois, Matthew J Guzdial, Antonios Liapis, Sebastian Risi, Gillian Smith, Anne Sullivan, and G Michael Youngblood

Publisher Paper Cite More

In response to the rapid technological success in AI, the emerging research area of Explainable AI aims to better communicate AI systems' decisions and actions to human users. The central goals of explainable AI are often to increase users' understanding, foster trust, and improve their ability to utilize the systems. Explainable AI for designers (XAID), in particular, focuses on enhancing designers' capability to (co-)create user experiences with AI. Through the vantage point of computer games, we examine 1) the design space of explainable AI for game designers, 2) three case studies of XAIDs, and 3) design guidelines and open challenges in each case.

More Information

Citation

BibTex

@inproceedings{bib:zhu:2018,
    author       = { Zhu, Jichen and Bidarra, Rafael and Champandard, Alex J and Colton, Simon and Francois, Reynald and Guzdial, Matthew J and Liapis, Antonios and Risi, Sebastian and Smith, Gillian and Sullivan, Anne and Youngblood, G Michael },    
    title        = { Explainable AI for Designers: A Human-Centered Perspective on Mixed-Initiative Co-Creation },
    booktitle    = { In Proceedings of CIG },
    year         = { 2018 },
    pages        = { 1--8 },
    doi          = { 10.1109/CIG.2018.8490433 },
    dblp         = { conf/cig/ZhuLRBY18 },
    url          = { https://publications.graphics.tudelft.nl/papers/359 },
}