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How to Handle Data Management of Assisting Lifelogging Technologies from a User’s Point of View

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Human Aspects of IT for the Aged Population. Healthy and Active Aging (HCII 2020)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12208))

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Abstract

A shift to higher proportions of older people and people in need of care requires new solutions and technologies with the potential to assist people in their everyday activities and to support them in being as independent and self-determined as possible. Lifelogging technologies have this potential by the collection, storage, and evaluation of personal data. Despite their potential, the users’ acceptance of such technologies is of great importance, in particular with regard to the technology’s handling of data security and privacy. For this reason, a quantitative study was carried out using an online questionnaire (N = 182), investigating two different application contexts of lifelogging technologies: a preventive context (frailty monitoring) and an assisting context related to patients suffering from dementia. Based on a preceding qualitative study, data access, purpose of data processing, duration as well as location of data storage were chosen as factors which were investigated, applying a conjoint analysis approach. The results revealed that the purpose of data processing and data access were the most decisive factors when users decide about the data management of lifelogging technologies and comparing the two contexts, contradicting decision patterns were found in particular for data access. Beyond these insights, user group specific decision patterns were identified for each of the application contexts. This study provides relevant insights into the users’ perspectives and requirements with regard to data management of lifelogging technologies, which should be taken into account for technology development and communication.

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Acknowledgements

The authors would like to thank all participants for sharing their opinions on assisting lifelogging technologies. Further, thanks go to Katharina Merkel for research support. This work resulted from the project PAAL – “Privacy Aware and Acceptable Lifelogging services for older and frail people” and was funded by the German Federal Ministry of Education and Research (16SV7955).

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Authors and Affiliations

  1. Human-Computer Interaction Center, RWTH Aachen University, Campus-Boulevard 57, 52074, Aachen, Germany

    Julia Offermann-van Heek, Wiktoria Wilkowska & Martina Ziefle

Authors
  1. Julia Offermann-van Heek
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  2. Wiktoria Wilkowska
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  3. Martina Ziefle
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Correspondence to Julia Offermann-van Heek .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Qin Gao

  2. Chongqing University, Chongqing, China

    Jia Zhou

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Offermann-van Heek, J., Wilkowska, W., Ziefle, M. (2020). How to Handle Data Management of Assisting Lifelogging Technologies from a User’s Point of View. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. Healthy and Active Aging. HCII 2020. Lecture Notes in Computer Science(), vol 12208. Springer, Cham. https://doi.org/10.1007/978-3-030-50249-2_37

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  • DOI: https://doi.org/10.1007/978-3-030-50249-2_37

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-50249-2

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