MIND (Mixed-Initiative Next-gen Design): Workshop on Blending Agents and Direct Manipulation for Harnessing LLMs
Name
3708557.3716160.pdf
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449.87 KB
Format
Adobe PDF
Checksum (MD5)
9f28573562f838226c8e275df3ba8ad1
Author(s)
Dinakar, Karthik
Lieberman, Henry
Wu, Sonia
Date Issued
March 24, 2025
Publisher
ACM|30th International Conference on Intelligent User Interfaces Companion
Citation
Dinakar, Karthik, Lieberman, Henry and Wu, Sonia. 2025. "MIND (Mixed-Initiative Next-gen Design): Workshop on Blending Agents and Direct Manipulation for Harnessing LLMs."
Version
Final published version
Abstract
Since the 1980s, a key debate in human-centered computing involving machine learning at IUI is between agent-driven systems and direct manipulation. The explosion of Large Language Models (LLMs), particularly auto-regressive as agents serving as chatbots, generative search, and work automation tools, has also brought with it inherent limitations. We posit that efforts to address and alleviate these LLM challenges—hallucinations, unpredictable outputs, lack of transparency, and difficulties in customization—cannot be solved through algorithmic improvements alone but require elevated mixed-initiative interface design at the heart of the IUI community. This workshop aims to bridge the gap between agent-driven automation and direct manipulation by exploring mixed-initiative interaction models that blend the strengths of both paradigms to empower end-users seeking to harness LLMs.
Description
IUI Companion ’25, Cagliari, Italy
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3708557.3716160
