In an increasingly complex tech world, how can digital health solutions become more user-centered, i.e., meeting real user needs beyond technology for its own sake?

While it's essential to understand the needs of users when developing software, many software projects still fail due to a technology-centered mindset. Recently, research has shown that a more comprehensive elicitation of user requirements is achieved through a combination of social science approaches (e.g., interviews, observation) with data science (e.g., text mining). Accordingly, we employ those techniques to derive user requirements for theory-based digital health interventions. A current project focuses on women’s health.

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• How can health analytics methods help us extract, classify and prioritize knowledge from digital trace data?
• How can the application of health analytics methods identify insights and inform the development of more effective digital health interventions?

• A theory about the use and nature of self-management solutions for increased health outcomes (sexual well-being, pain interference, quality of life, and mental well-being).
• A methodology to derive user requirements for digital health interventions from user-generated content. 
• A framework for the design of effective interventions for the self-management of chronic pelvic pain.

• Project Owner: Dr. Danielly de Paula
• Chair Owner: Prof. Dr. Falk Uebernickel
• Project Collaborators from Academia:
  • Hasso Plattner Institute: Florian Borchert, Vincent Beermann
• Project Collaborators from Practice
  • Hale UG (haftungsbeschränkt)

Project Period:

2022 - 2024

Seeking:

Industry partners in the healthcare domain.

Thesis Topics:

Pauline Gieseler (2023 – ongoing): Designing and Validating a Patient Centered Chatbot for Patient Reported Outcomes

Daniel Jühling (2023 – ongoing): Uncovering Design Requirements for mealth Interventions for Chronic Pelvic Pain Patients

Asma Aborobb (2023 – ongoing): Designing Gender-Aware mHealth Apps for Women’s Physical Activity Analysis of User Reviews to Identify Design Knowledge for Effective Interventions

At the moment, we do not have available thesis topics.

Paula, Danielly de; Marx, Carolin; Wolf, Ella; Dremel, Christian; Cormican, Kathryn; and Uebernickel, Falk. (2023). “A Managerial Mental Model to Drive Innovation in the Context of Digital Transformation.” Industry and Innovation Journal 30 (1): 42–66.

Paula, Danielly de; Cormican, Kathryn, and Dobrigkeit, Franziska. (2022). “From Acquaintances to Partners in Innovation: An Analysis of 20 Years of Design Thinking’s Contribution to New Product Development.” IEEE Transactions on Engineering Management Journal 69 (4): 1664–77.

Paula, Danielly de, Zarske Bueno, Jan; Viljoen; Altus. (2021) Defining Archetypes and Requirements for mHealth Interventions in Rural Kenya: An Investigation at CURAFA™ Health Camps. In Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS).