Together or Apart: Designing Boundaries for Personal Intelligent Agents

Personal intelligent agents (IAs) are increasingly embedded in everyday life, a trend accelerated by generative AI technologies. Despite their growing presence, these agents often remain fragmented across different life domains and environments. This workshop explores how to design integrated IA ecosystems emphasizing continuity, coordination, and human-centered values. Participants with varied perspectives will collaboratively develop frameworks, scenarios, and guidelines for cohesive personal agent systems that enrich user experiences holistically. By examining factors that shape users' preferences for information integration or separation, we aim to inform the design of coherent, user-aligned multi-agent systems.

Authors

Institutions

Publication Details

Published
2025-11-10
DOI
https://doi.org/10.1145/3765766.3765883
Citations
3
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
7.32
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Together or Apart: Designing Boundaries for Personal Intelligent Agents

Hyo Chang Kim, Myounghoon Jeon, Seul Chan Lee, Hyunmin Kang et al.
3 citations
Social Robot Interaction and HRI
7.32
article

Together or Apart: Designing Boundaries for Personal Intelligent Agents

Hyo Chang Kim, Myounghoon Jeon, Seul Chan Lee, Hyunmin Kang, Minchul Cha, JiHyun Jeong
article en
3 citations

Abstract

Personal intelligent agents (IAs) are increasingly embedded in everyday life, a trend accelerated by generative AI technologies. Despite their growing presence, these agents often remain fragmented across different life domains and environments. This workshop explores how to design integrated IA ecosystems emphasizing continuity, coordination, and human-centered values. Participants with varied perspectives will collaboratively develop frameworks, scenarios, and guidelines for cohesive personal agent systems that enrich user experiences holistically. By examining factors that shape users' preferences for information integration or separation, we aim to inform the design of coherent, user-aligned multi-agent systems.

Incheon National University (KR), SUNY Korea (KR), Ghent University Global Campus (KR), Hanyang University (KR), Hankuk University of Foreign Studies (KR), Virginia Tech (US), Daegu University (KR)
Life in Land
Openalex Percentile: Top 3%
Social Robot Interaction and HRI
7.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.