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

Institute of Pervasive Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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.

Original language	English
Title of host publication	Proceedings of the 7th International Conference on the Internet of Things
Editors	Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso
Publisher	ACM DL
Number of pages	8
ISBN (Electronic)	9781450353182
DOIs	https://doi.org/10.1145/3131542.3131561
Publication status	Published - 22 Oct 2017

Publication series

Name	ACM International Conference Proceeding Series

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102021 Pervasive computing
102022 Software development
102025 Distributed systems

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1145/3131542.3131561

Cite this

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 (Ed.), Proceedings of the 7th International Conference on the Internet of Things Article 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. editor / 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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day = "22",

doi = "10.1145/3131542.3131561",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "ACM DL",

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booktitle = "Proceedings of the 7th International Conference on the Internet of Things",

}

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 (ed.), 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. ed. / Simon Mayer, Stefan Schneegass, Bernhard Anzengruber-Tánase, Alois Ferscha, Gabriele Anderst-Kotsis, Joseph Paradiso. ACM DL, 2017. 21 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

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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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U2 - 10.1145/3131542.3131561

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, editor, 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

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Pro2Future - Products and Production Systems of the Future

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

Cite this

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

Abstract

Publication series

UN SDGs

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

Pro2Future - Products and Production Systems of the Future

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

Cite this