Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment

Michael Haslgrübler-Huemer; Peter Fritz; Benedikt Gollan; Alois Ferscha

doi:10.1145/3131542.3131561

Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment

Michael Haslgrübler-Huemer
, Peter Fritz
, Benedikt Gollan
, Alois Ferscha

Institut für Pervasive Computing

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Abstract

Recently, there has been increased interest in attention management, especially when considering people being surrounded by multiple IoT devices. Current research is focused on providing ambient or non-disturbing notifications to users particularly in a (smart-)home environment where already a multitude of IoT devices are deployed nowadays. In contrast and in this paper, we present how we use IoT devices to perform workflow and attention recognition and use these devices to provide critical notifications which can actually be perceived by users in an industrial environment to steer him away from economically suboptimal or harmful situations.

Originalsprache	Englisch
Titel	Proceedings of the 7th International Conference on the Internet of Things
Herausgeber*innen	Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso
Verlag	ACM DL
Seitenumfang	8
ISBN (elektronisch)	9781450353182
DOIs	https://doi.org/10.1145/3131542.3131561
Publikationsstatus	Veröffentlicht - 22 Okt. 2017

Publikationsreihe

Name	ACM International Conference Proceeding Series

UN SDGs

Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung

SDG 9 – Industrie, Innovation und Infrastruktur

Wissenschaftszweige

102 Informatik
102009 Computersimulation
102013 Human-Computer Interaction
102019 Machine Learning
102021 Pervasive Computing
102022 Softwareentwicklung
102025 Verteilte Systeme

JKU-Schwerpunkte

Computation in Informatics and Mathematics
TNF Allgemein

Zugriff auf Dokument

10.1145/3131542.3131561

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

2 Abgeschlossen

Pro2Future - Products and Production Systems of the Future
Egyed, A. (Forscher*in), Küng, J. (Forscher*in), Miethlinger, J. (Forscher*in), Müller, A. (Forscher*in), Schlacher, K. (Forscher*in), Streit, M. (Forscher*in) & Ferscha, A. (Projektleiter*in)
01.04.2017 → 31.03.2025
Projekt: Geförderte Forschung › FFG - Österreichische Forschungsförderungsgesellschaft
Attentive Machines: Man and Machines in ICT based Production Systems of the Future
Haslgrübler-Huemer, M. (Forscher*in), Hochreiter, D. (Forscher*in), Karner, D. (Forscher*in) & Ferscha, A. (Projektleiter*in)
01.08.2015 → 31.07.2018
Projekt: Geförderte Forschung › FFG - Österreichische Forschungsförderungsgesellschaft

Dieses zitieren

Haslgrübler-Huemer, M., Fritz, P., Gollan, B., & Ferscha, A. (2017). Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment. in Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso (Hrsg.), Proceedings of the 7th International Conference on the Internet of Things Artikel 21 (ACM International Conference Proceeding Series). ACM DL. https://doi.org/10.1145/3131542.3131561

Haslgrübler-Huemer, Michael ; Fritz, Peter ; Gollan, Benedikt et al. / Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment. Proceedings of the 7th International Conference on the Internet of Things. Hrsg. / Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso. ACM DL, 2017. (ACM International Conference Proceeding Series).

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title = "Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment",

abstract = "Recently, there has been increased interest in attention management, especially when considering people being surrounded by multiple IoT devices. Current research is focused on providing ambient or non-disturbing notifications to users particularly in a (smart-)home environment where already a multitude of IoT devices are deployed nowadays. In contrast and in this paper, we present how we use IoT devices to perform workflow and attention recognition and use these devices to provide critical notifications which can actually be perceived by users in an industrial environment to steer him away from economically suboptimal or harmful situations.",

author = "Michael Haslgr{\"u}bler-Huemer and Peter Fritz and Benedikt Gollan and Alois Ferscha",

year = "2017",

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Haslgrübler-Huemer, M, Fritz, P, Gollan, B & Ferscha, A 2017, Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment. in Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso (Hrsg.), Proceedings of the 7th International Conference on the Internet of Things., 21, ACM International Conference Proceeding Series, ACM DL. https://doi.org/10.1145/3131542.3131561

Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment. / Haslgrübler-Huemer, Michael; Fritz, Peter; Gollan, Benedikt et al.
Proceedings of the 7th International Conference on the Internet of Things. Hrsg. / Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso. ACM DL, 2017. 21 (ACM International Conference Proceeding Series).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment

AU - Haslgrübler-Huemer, Michael

AU - Fritz, Peter

AU - Gollan, Benedikt

AU - Ferscha, Alois

PY - 2017/10/22

Y1 - 2017/10/22

N2 - Recently, there has been increased interest in attention management, especially when considering people being surrounded by multiple IoT devices. Current research is focused on providing ambient or non-disturbing notifications to users particularly in a (smart-)home environment where already a multitude of IoT devices are deployed nowadays. In contrast and in this paper, we present how we use IoT devices to perform workflow and attention recognition and use these devices to provide critical notifications which can actually be perceived by users in an industrial environment to steer him away from economically suboptimal or harmful situations.

AB - Recently, there has been increased interest in attention management, especially when considering people being surrounded by multiple IoT devices. Current research is focused on providing ambient or non-disturbing notifications to users particularly in a (smart-)home environment where already a multitude of IoT devices are deployed nowadays. In contrast and in this paper, we present how we use IoT devices to perform workflow and attention recognition and use these devices to provide critical notifications which can actually be perceived by users in an industrial environment to steer him away from economically suboptimal or harmful situations.

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DO - 10.1145/3131542.3131561

M3 - Conference proceedings

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 7th International Conference on the Internet of Things

A2 - Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso, null

PB - ACM DL

ER -

Haslgrübler-Huemer M, Fritz P, Gollan B, Ferscha A. Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment. in Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso, Hrsg., Proceedings of the 7th International Conference on the Internet of Things. ACM DL. 2017. 21. (ACM International Conference Proceeding Series). doi: 10.1145/3131542.3131561

Getting Through - Modality Selection in a Multi-Sensor-Actuator Industrial IoT Environment

Abstract

Publikationsreihe

UN SDGs

Wissenschaftszweige

JKU-Schwerpunkte

Zugriff auf Dokument

Andere Dateien und Links

Projekte

Pro2Future - Products and Production Systems of the Future

Attentive Machines: Man and Machines in ICT based Production Systems of the Future

Dieses zitieren