Work

Towards Effective Human-AI Collaboration in GUI-Based Interactive Task Learning Agents

Year: 2020

Type: preprint

Abstract: We argue that a key challenge in enabling usable and useful interactive task learning for intelligent agents is to facilitate effective Human-AI collaboration. We reflect on our past 5 years of efforts on designing, developing and studying the SUGILITE system, discuss the issues on incorporating recent advances in AI with HCI principles in mixed-initiative interactions and multi-modal interactions, and summarize the lessons we learned. Lastly, we identify several challenges and opportunities, and describe our ongoing work

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2003.02622

Authors: Li, Toby Jia-Jun, Chen, Jingya, Mitchell, Tom M., Myers, Brad A.

Institution: Carnegie Mellon University

Language: English

Topic: Usability and User Interface Design

Subfield: Human-Computer Interaction

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

Funders: National Science Foundation, Air Force Office of Scientific Research