Agent-Initiated Interaction in Phone UI Automation

Phone automation agents aim to autonomously perform a given natural-language user request, such as scheduling appointments or booking a hotel. While much research effort has been devoted to screen understanding and action planning, complex tasks often necessitate user interaction for successful completion. Aligning the agent with the user's expectations is crucial for building trust and enabling personalized experiences. This requires the agent to proactively engage the user when necessary, avoiding actions that violate their preferences while refraining from unnecessary questions where a default action is expected. We argue that such subtle agent-initiated interaction with the user deserves focused research attention.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3717526
Citations
2
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
4.96
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article

Agent-Initiated Interaction in Phone UI Automation

Oriana Riva, G. Rom, Filippo Galgani, Omri Berkovitch et al.
2 citations
Multi-Agent Systems and Negotiation
4.96
article

Agent-Initiated Interaction in Phone UI Automation

Oriana Riva, G. Rom, Filippo Galgani, Omri Berkovitch, Sapir Caduri, Noam Kahlon, Anatoly Efros, Ido Dagan, William E. Bishop
article en
2 citations

Abstract

Phone automation agents aim to autonomously perform a given natural-language user request, such as scheduling appointments or booking a hotel. While much research effort has been devoted to screen understanding and action planning, complex tasks often necessitate user interaction for successful completion. Aligning the agent with the user's expectations is crucial for building trust and enabling personalized experiences. This requires the agent to proactively engage the user when necessary, avoiding actions that violate their preferences while refraining from unnecessary questions where a default action is expected. We argue that such subtle agent-initiated interaction with the user deserves focused research attention.

Google (United States) (US), Bar-Ilan University (IL)
Openalex Percentile: Top 5%
Multi-Agent Systems and Negotiation
4.96
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Agent-Initiated Interaction in Phone UI Automation — Oriana Riva, G. Rom, et al. · (2025) | TGRS Research Map | TGRS