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  4. The Spectrum of Proactive Functioning in Digital Companions
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The Spectrum of Proactive Functioning in Digital Companions

Journal
Proceedings of the International Conference on Mobile and Ubiquitous Multimedia
Type
conference paper
Date Issued
2024-12-01
Author(s)
Sanjiv Jha  
;
Kimberly Garcia  
;
Ghielmini, Nicolò
;
Simon Mayer  
DOI
10.1145/3701571.3701606
Abstract
The future of proactive Digital Companions (DCs)-smart agents capable of assisting and protecting their users-lies in their ability to collaborate effectively with users, learn their preferences, and adjust their behavior according to the user's current state and their environment. To achieve this, DCs must carefully strike a balance between acting autonomously, while keeping users informed to minimize inconveniences, thereby enhancing user acceptance. In this article, we conduct a user survey to enrich the architecture of proactive personal DCs that explores the trade-off between full autonomous functioning and ensuring sufficient user control in various critical and non-critical scenarios. Our findings indicate that most of the participants lean towards having control over the actions of DCs, and will actively collaborate with those systems in everyday situations, in which decisions are not urgent. However, participants would not mind yielding their control to DCs in time-sensitive or urgent scenarios. Furthermore, in our survey, participants highlighted the importance of explaining such actions well. Given the results from our survey, we implemented a system prototype with the enriched architecture of an explainable and unobtrusive proactive DC for a smart home environment. The actions of this DC are not always fully autonomous and follow our survey findings.
Keywords
Scene Understanding
Proactive
Video
Digital Assistants
Digital Companion This work is licensed under a Creative Commons Attribution International 4.0 License
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
ACM
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/122103
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

File(s)
Thumbnail Image

open.access

Name

3701571.3701606.pdf

Size

2.97 MB

Format

Adobe PDF

Checksum (MD5)

fc12db6c85b794a9c70bab7c40a0ff0a

Support
HSG researchers can find instructions here for adding or importing publications (DOI, ORCID). Please send questions to alexandria@unisg.ch

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