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Updated: Nov 4, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
How the Wakamola chatbot studied a university community's lifestyle during the COVID-19 confinement
Sabina Asensio-Cuesta1, Vicent Blanes-Selva1, Manuel Portolés2
1Instituto de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain.
Abstract:
This work aimed to study the effect of confinement on weight and lifestyle using the Wakamola chatbot to collect data from 739 adults divided into two groups (341 case-control, 398 confinement). Nutrition score (0-100 scale) improved for men (medians 81.77-82.29, p < 0.05), with no difference for women (medians 82.29 in both cases). Both genders reduced the consumption of sweetmeats and sugared drinks (p < 0.01); men increased their consumption of vegetables, salad, and legumes (p < 0.01). Both genders reduced their physical activity score (men 100-40.14, p < 0.01, women 80.42-36.12, p < 0.01). Women sat less hours/week, men's medians 28.81-28.27, women's medians 35.97-23.33, p = 0.03. Both genders slept longer (hours/day), men 7-7.5, women 7-8 (p < 0.01) (medians). Their overall health score was significantly reduced (men 85.06-74.05, p < 0.01, women 84.47-72.42, p < 0.01), with no significant weight difference in either gender. Wakamola helped to contact participants and confirm changes in their lifestyle during confinement.
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