TY - JOUR
T1 - Short and long-term innovations on dietary behavior assessment and coaching
T2 - Present efforts and vision of the pride and prejudice consortium
AU - Lucassen, Desiree A.
AU - Lasschuijt, Marlou P.
AU - Camps, Guido
AU - Van Loo, Ellen J.
AU - Fischer, Arnout R.H.
AU - de Vries, Roelof A.J.
AU - Haarman, Juliet A.M.
AU - Simons, Monique
AU - de Vet, Emely
AU - Vos, Marina Bos De
AU - Pan, Sibo
AU - Ren, Xipei
AU - de Graaf, Kees
AU - Lu, Yuan
AU - Feskens, Edith J.M.
AU - Brouwer-Brolsma, Elske M.
N1 - Funding Information:
This research is funded by the 4 Dutch Technical Universities, 4TU?Pride and Prejudice program (4TU-UIT-346).
Funding Information:
Funding: This research is funded by the 4 Dutch Technical Universities, 4TU—Pride and Prejudice program (4TU-UIT-346).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/8/1
Y1 - 2021/8/1
N2 - Overweight, obesity and cardiometabolic diseases are major global health concerns. Lifestyle factors, including diet, have been acknowledged to play a key role in the solution of these health risks. However, as shown by numerous studies, and in clinical practice, it is extremely challenging to quantify dietary behaviors as well as influencing them via dietary interventions. As shown by the limited success of ‘one-size-fits-all’ nutritional campaigns catered to an entire population or subpopulation, the need for more personalized coaching approaches is evident. New technology-based innovations provide opportunities to further improve the accuracy of dietary assessment and develop approaches to coach individuals towards healthier dietary behaviors. Pride & Prejudice (P&P) is a unique multi-disciplinary consortium consisting of researchers in life, nutrition, ICT, design, behavioral and social sciences from all four Dutch Universities of Technology. P&P focuses on the development and integration of innovative technological techniques such as artificial intelligence (AI), machine learning, conversational agents, behavior change theory and personalized coaching to improve current practices and establish lasting dietary behavior change.
AB - Overweight, obesity and cardiometabolic diseases are major global health concerns. Lifestyle factors, including diet, have been acknowledged to play a key role in the solution of these health risks. However, as shown by numerous studies, and in clinical practice, it is extremely challenging to quantify dietary behaviors as well as influencing them via dietary interventions. As shown by the limited success of ‘one-size-fits-all’ nutritional campaigns catered to an entire population or subpopulation, the need for more personalized coaching approaches is evident. New technology-based innovations provide opportunities to further improve the accuracy of dietary assessment and develop approaches to coach individuals towards healthier dietary behaviors. Pride & Prejudice (P&P) is a unique multi-disciplinary consortium consisting of researchers in life, nutrition, ICT, design, behavioral and social sciences from all four Dutch Universities of Technology. P&P focuses on the development and integration of innovative technological techniques such as artificial intelligence (AI), machine learning, conversational agents, behavior change theory and personalized coaching to improve current practices and establish lasting dietary behavior change.
KW - Apps
KW - Artificial intelligence
KW - Behavior change interventions
KW - Coaching
KW - Conversational agent
KW - Development
KW - Dietary assessment
KW - Images
KW - Machine learning
KW - Technological innovations
UR - http://www.scopus.com/inward/record.url?scp=85111008335&partnerID=8YFLogxK
U2 - 10.3390/ijerph18157877
DO - 10.3390/ijerph18157877
M3 - Article
C2 - 34360170
AN - SCOPUS:85111008335
SN - 1661-7827
VL - 18
JO - International journal of environmental research and public health
JF - International journal of environmental research and public health
IS - 15
M1 - 7877
ER -
