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Cited by 5Context-Aware Activity Recognition SystemsSocial Robot Interaction and HRIInnovative Human-Technology Interaction

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A Digital Companion Architecture for Ambient Intelligence

Open access
Garcia, Kimberly, Vontobel, Jonathan, Mayer, Simon·2024·Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
DOI 10.1145/3659610
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Abstract

Ambient Intelligence (AmI) focuses on creating environments capable of proactively and transparently adapting to users and their activities. Traditionally, AmI focused on the availability of computational devices, the pervasiveness of networked environments, and means to interact with users. In this paper, we propose a renewed AmI architecture that takes into account current technological advancements while focusing on proactive adaptation for assisting and protecting users. This architecture consist of four phases: Perceive, Interpret, Decide, and Interact. The AmI systems we propose, called Digital Companions (DC), can be embodied in a variety of ways (e.g., through physical robots or virtual agents) and are structured according to these phases to assist and protect their users. We further categorize DCs into Expert DCs and Personal DCs, and show that this induces a favorable separation of concerns in AmI systems, where user concerns (including personal user data and preferences) are handled by Personal DCs and environment concerns (including interfacing with environmental artifacts) are assigned to Expert DCs; this separation has favorable privacy implications as well. Herein, we introduce this architecture and validate it through a prototype in an industrial scenario where robots and humans collaborate to perform a task.

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Metadata

Authors
Garcia, K., Vontobel, J., & Mayer, S.
Affiliations
  • University of St.Gallen, St. Gallen, Switzerland
  • University of St.Gallen (CH)
ORCID
Venue
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Publisher
Association for Computing Machinery (ACM)
Published
2024-05-13
Volume
8
Issue
2
Pages
1-26
ISSN
2474-9567 (ISSN-L)
DOI
10.1145/3659610
OpenAlex
W4396938621
Cited by
5
References
3
Citations by year
2026: 2 · 2025: 1 · 2024: 2
FWCI
0.70
Type
journal article
Language
en
Open access
Licence
Locations
  • Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies (publishedVersion, cc-by)
  • Alexandria (UniSG) (University of St.Gallen) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
ambient intelligence, virtual companions, architecture, proactive adaptation, user support, user protection, separation of concerns, privacy, personal data, human-robot collaboration, robots, virtual agents

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