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A Day in the Life : Exploring the Use of Scheduled Mobile Chat Messages for Career Guidance

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

Official URL: Volltext

Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

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
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
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