A day in the life: Exploring the use of scheduled mobile chat messages for career guidance

Sarah Aragon Bartsch, Christina Schneegass, Florian Bemmann, Daniel Buschek

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia, MUM 2021
PublisherAssociation for Computing Machinery (ACM)
Pages24-34
Number of pages11
ISBN (Electronic)9781450386432
DOIs
Publication statusPublished - 2021
Externally publishedYes
Event20th International Conference on Mobile and Ubiquitous Multimedia, MUM 2021 - Virtual, Online, Belgium
Duration: 5 Dec 20218 Dec 2021

Publication series

NameACM International Conference Proceeding Series

Conference

Conference20th International Conference on Mobile and Ubiquitous Multimedia, MUM 2021
Country/TerritoryBelgium
CityVirtual, Online
Period5/12/218/12/21

Keywords

  • career choice
  • career guidance system
  • decision support system
  • micro-Tasking
  • mobile application

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