Marky, Karola ; Zimmermann, Verena ; Stöver, Alina ; Hoffmann, Philipp ; Kunze, Kai ; Mühlhäuser, Max (2020)
All in One! User Perceptions on Centralized IoT Privacy Settings.
38th CHI Conference on Human Factors in Computing Systems. virtual Conference (25.04.2020-30.04.2020)
doi: 10.1145/3334480.3383016
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
IoT devices deliver their functionality by accessing data. Users decide which data they are willing to share via privacy settings interfaces that are typically on the device, or in the app controlling it. Thus, users have to interact with each device or app which is time-consuming and settings might be overlooked. In this paper, we provide a stepping stone into a multi-device interface for adjusting privacy settings. We present three levels of information detail: 1) sensor name 2), sensor name and information about captured data and 3) detailed information on each collected data type including consequences. Through a pre-study with 15 participants, we found that users prefer the access to detailed information because this offers the best decision support. They also wish for a clear status communication, a possibility for rule-based settings, and delegation options.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Marky, Karola ; Zimmermann, Verena ; Stöver, Alina ; Hoffmann, Philipp ; Kunze, Kai ; Mühlhäuser, Max |
| Art des Eintrags: | Bibliographie |
| Titel: | All in One! User Perceptions on Centralized IoT Privacy Settings |
| Sprache: | Englisch |
| Publikationsjahr: | 25 April 2020 |
| Verlag: | ACM |
| Buchtitel: | CHI'20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems |
| Veranstaltungstitel: | 38th CHI Conference on Human Factors in Computing Systems |
| Veranstaltungsort: | virtual Conference |
| Veranstaltungsdatum: | 25.04.2020-30.04.2020 |
| DOI: | 10.1145/3334480.3383016 |
| Kurzbeschreibung (Abstract): | IoT devices deliver their functionality by accessing data. Users decide which data they are willing to share via privacy settings interfaces that are typically on the device, or in the app controlling it. Thus, users have to interact with each device or app which is time-consuming and settings might be overlooked. In this paper, we provide a stepping stone into a multi-device interface for adjusting privacy settings. We present three levels of information detail: 1) sensor name 2), sensor name and information about captured data and 3) detailed information on each collected data type including consequences. Through a pre-study with 15 participants, we found that users prefer the access to detailed information because this offers the best decision support. They also wish for a clear status communication, a possibility for rule-based settings, and delegation options. |
| Freie Schlagworte: | privacy decision support, smart home, internet of things |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Telekooperation DFG-Graduiertenkollegs DFG-Graduiertenkollegs > Graduiertenkolleg 2050 Privacy and Trust for Mobile Users 03 Fachbereich Humanwissenschaften 03 Fachbereich Humanwissenschaften > Institut für Psychologie 03 Fachbereich Humanwissenschaften > Institut für Psychologie > Arbeits- und Ingenieurpsychologie |
| Hinterlegungsdatum: | 26 Jun 2020 07:55 |
| Letzte Änderung: | 27 Okt 2021 07:20 |
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