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  4. Ad-hoc Action Adaptation through Spontaneous Context
 
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Ad-hoc Action Adaptation through Spontaneous Context

ISBN
979-8-4007-1477-1/2025/10
Type
conference contribution
Date Issued
2025-10-12
Author(s)
Raffael Rot  
;
Simon Mayer  orcid-logo
;
Jannis Strecker-Bischoff  orcid-logo
DOI
10.1145/3714394.3755878
Abstract
Typical everyday physical interactors, such as switches, perform a specific static action upon actuation by a user. For such simple components, this action is independent of the immediate user situation; consideration of this situation typically involves the augmentation of the interactor with specific added interface features (e.g., long-press of a button for dimming). We introduce the "spontaneous context" interaction pattern for everyday interactors where the concrete action is spontaneously adapted based on information about the user situation that the interactors gather and interpret ad hoc. In our approach, the interactor and user hence share no prior relationship and no user data is stored, yet the interactor adapts the action at interaction time. To demonstrate the spontaneous context pattern, we implemented a "plot door": this is an automatic door that differs from classical infrared motion sensor-activated doors by opening only when it is likely that an individual wants to enter. Our plot door uses an infrared sensor that is augmented with our proposed interaction pattern and thereby spontaneously gathers and interprets accelerometer and gyroscope data from the individual to determine whether it should open or not.
Keywords
Adaptation
User Context
User Situation
Ad-Hoc Interpretation
Sensor
HSG Classification
contribution to scientific community
Book title
Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp Companion ’25)
Publisher place
New York, NY, USA
Pages
5
Event Title
2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp Companion ’25)
Event Location
Espoo, Finland
Event Date
October 12–16, 2025
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/123234
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

File(s)
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open.access

Name

Ad-hoc Action Adaptation - 2025.pdf

Size

3.1 MB

Format

Adobe PDF

Checksum (MD5)

ae85e28ad9179e723b124a46bc38abb9

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