@inproceedings{aragonhahner2023findmyself,
author = {Aragon-Hahner, Sarah and K\"{o}rber, Jonas and Schneller, Mario and Strickroth, Sven},
title = {FindMyself: A Mobile Self-Reflection App to Support Students in Career Decision-Making},
year = {2023},
isbn = {9798400709210},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3626705.3627774},
doi = {10.1145/3626705.3627774},
abstract = {Career choice is a life-changing decision for young adults. Online career guidance systems facilitate information access and provide recommendations for career paths. However, they bear the risk of imposed decisions, as they often neglect the non-cognitive processes of career decision-making. Mobile apps are promising for supporting career choices, since smartphones are a constant companion of adolescents. Following a user-centered design process, we developed “FindMyself”, a mobile app helping users discover their personal strengths and interests. FindMyself includes multiple sessions, prompting users with short challenges and reflection tasks building a personal profile. Our approach leaves time for self-reflection and discussion with peers. In a field study (N = 46), we found that FindMyself was perceived as easy, flexible, and fun to use, and was able to support self-reflection. For future iterations, some users requested specific career recommendations. We discuss these results and derive implications for further research on career decision support tools.},
booktitle = {Proceedings of the 22nd International Conference on Mobile and Ubiquitous Multimedia},
pages = {463--476},
numpages = {14},
keywords = {career decision-making, decision support system, mobile application, self-awareness, self-reflection, self-reflection support system, study program choice},
location = {Vienna, Austria},
series = {MUM '23}
}