Title data
Schneegass, Christina ; Irmscher, Diana ; Bemmann, Florian ; Buschek, Daniel:
LYLO – Exploring Disclosed Configurations for Inter-Personal Location Sharing.
In: Kitamura, Yoshifumi ; Quigley, Aaron ; Isbister, Katherine ; Igarashi, Takeo
(ed.):
CHI EA '21 : Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems. -
New York
: Association for Computing Machinery
,
2021
. - No. 320
ISBN 978-1-4503-8095-9
DOI: https://doi.org/10.1145/3411763.3451652
Project information
Project title: |
Project's official title Project's id AI Tools - Continuous Interaction with Computational Intelligence Tools No information |
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Abstract in another language
Continuous location sharing (CLS) can foster intimacy, for example, for couples in long-distance relationships. However, turning off CLS can then raise suspicions. To address this, we developed nuanced sharing settings in a focus group (N = 6) and implemented them to moderate CLS in an Android app. Crucially, the app also discloses each person’s current sharing settings to the partner. In a 16-day field study, four couples interacted with our app and the disclosed configurations, confirming the disclosure’s positive effect on transparency. However, features obfuscating the location were considered superfluous, as participants preferred sharing their location exactly or not at all. While participants overall appreciated having the configuration options, changes in their partners' configurations raised questions about their motivations. Instead, participants would adjust the configuration for different intimacy levels (colleague vs. partner) rather than different activities when using CLS with the same person.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII Faculties Faculties > Faculty of Mathematics, Physics und Computer Science |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 31 May 2021 10:16 |
Last Modified: | 31 May 2021 10:30 |
URI: | https://eref.uni-bayreuth.de/id/eprint/65526 |