Architecting Novel Interactions With Generative AI Models

被引:1
|
作者
Bernstein, Michael S. [1 ]
Park, Joon Sung [1 ]
Morris, Meredith Ringel [2 ]
Amershi, Saleema [3 ]
Chilton, Lydia [4 ]
Gordon, Mitchell L. [5 ,6 ]
机构
[1] Stanford Univ, Stanford, CA 94305 USA
[2] Google DeepMind, Seattle, WA USA
[3] Microsoft Res, Seattle, WA USA
[4] Columbia Univ, New York, NY USA
[5] MIT, Cambridge, MA USA
[6] Univ Washington, Cambridge, MA USA
关键词
HCI; AI; Generative AI; Human-AI Interaction;
D O I
10.1145/3586182.3617431
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The new generation of generative AI models offers interactive opportunities that may fulfill long-standing aspirations in human-computer interaction and open doors to new forms of interaction that we have yet to imagine. The UIST community has a unique vantage point that can lead to critical contributions in envisioning a future of interactive computing that appropriately leverages the power of these new generative AI models. However, we are only just beginning to understand the research area that exists at the intersection of interaction and generative AI. By bringing together members of the UIST community interested in this intersection, we seek to initiate discussions on the potential of generative AI in architecting new forms of interactions. Key topics of interest include the exploration of novel categories of interactions made possible by generative AI, the development of methods for enabling more powerful and direct user control of generative AI, and the identification of model and architecture requirements for generative AI in interaction literature. The workshop will foster community building and produce concrete deliverables, including a research agenda, model/architecture requirements, and a simulated debate generated by a generative agent architecture.
引用
收藏
页数:3
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