Title data
Aragon Bartsch, Sarah ; Schneegass, Christina ; Bemmann, Florian ; Buschek, Daniel:
A Day in the Life : Exploring the Use of Scheduled Mobile Chat Messages for Career Guidance.
In:
20th International Conference on Mobile and Ubiquitous Multimedia. -
New York
: Association for Computing Machinery
,
2021
. - pp. 24-34
ISBN 978-1-4503-8643-2
DOI: https://doi.org/10.1145/3490632.3490637
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
Common sources of career information like websites often provide a static overall picture of a job, yet lack personal insights into the daily working life. To address this problem, we present a novel mobile career guidance method: It enables users to remotely gain an impression of different work routines by receiving several short, scheduled chat messages from a persona throughout the day. These messages were previously collected from real professionals reporting on their tasks over a week. We implemented a smartphone application to compare our message-based approach to a traditional blog entry in a two-week within-subject field study (N = 17). Users highlighted that the scheduled messages (1) enhanced their understanding of work routines by integrating career information into their own daily context and (2) offered authentic insights into the jobs. We discuss design implications for mobile career guidance systems and future opportunities for presenting chunks of information in a temporal context.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | decision support system; career guidance system; micro-tasking; mobile application; career choice |
Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science 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: | 01 Mar 2022 09:54 |
Last Modified: | 01 Mar 2022 09:54 |
URI: | https://eref.uni-bayreuth.de/id/eprint/68818 |