• Capturing Nutrition Data for Sports: Challenges and Ethical Issues 

      Sharma, Aakash; Czerwinska, Katja P; Johansen, Dag; Dagenborg, Håvard (Conference object; Konferansebidrag, 2023-01)
      Nutritionplaysakeyroleinanathlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using Image-Based ...
    • Capturing Nutrition Data for Sports: Challenges and Ethical Issues 

      Sharma, Aakash; Czerwinska, Katja P; Johansen, Dag; Dagenborg, Håvard Johansen (Chapter; Bokkapittel, 2023)
      Nutrition plays a key role in an athlete’s performance, health, and mental well-being. Capturing nutrition data is crucial for analyzing those relations and performing necessary interventions. Using traditional methods to capture long-term nutritional data requires intensive labor, and is prone to errors and biases. Artificial Intelligence (AI) methods can be used to remedy such problems by using ...
    • Privacy Perceptions and Concerns in Image-Based Dietary Assessment Systems: Questionnaire-Based Study 

      Sharma, Aakash; Czerwinska, Katja P; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-15)
      Background: Complying with individual privacy perceptions is essential when processing personal information for research. Our specific research area is performance development of elite athletes, wherein nutritional aspects are important. Before adopting new automated tools that capture such data, it is crucial to understand and address the privacy concerns of the research subjects that are to be ...
    • Up-to-the-Minute Privacy Policies via Gossips in Participatory Epidemiological Studies 

      Sharma, Aakash; Nilsen, Thomas Bye; Czerwinska, Katja P; Onitiu, Daria; Brenna, Lars; Johansen, Dag; Johansen, Håvard D. (Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-13)
      Researchers and researched populations are actively involved in participatory epidemiology. Such studies collect many details about an individual. Recent developments in statistical inferences can lead to sensitive information leaks from seemingly insensitive data about individuals. Typical safeguarding mechanisms are vetted by ethics committees; however, the attack models are constantly evolving. ...