EHR: a Sensing Technology Readiness Model for Lifestyle Changes

Publications associées (30)

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Graph Chatbot

The impact of NFT profile pictures within social network communities

Marco Mattavelli, Simone Casale Brunet

This paper presents an analysis of the role of social media, specifically Twitter, in the context of non-fungible tokens, better known as NFTs. Such emerging technology framing the creation and exchange of digital object, started years ago with early proje ...

ACM2022

Designing Gamified Activities with Haptic-Enabled Tangible Robots for Therapy and Assistance

Arzu Güneysu Özgür

In this thesis, we contribute to the field of rehabilitation robotics by designing haptic-enabled tangible robot-based activities and exploring their added value for therapy and assistance. The research specifically focuses on the design and development of ...

EPFL2021

Multi-Step Critiquing User Interface for Recommender Systems

Boi Faltings, Diana Andreea Petrescu, Diego Matteo Antognini

Recommendations with personalized explanations have been shown to increase user trust and perceived quality and help users make better decisions. Moreover, such explanations allow users to provide feedback by critiquing them. Several algorithms for recomme ...

ASSOC COMPUTING MACHINERY2021

Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic

Marcel Salathé, Martin Mathias Müller, Martin Müller

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users from January 13 to ...

Nature Portfolio2021

Identifying a Motivational Profile for Older Adults Towards Increased Physical Activity

Pearl Pu Faltings, Yuan Lu

Personalizing behavior change (BC) strategies to motivate increased physical activity is especially important for the diverse older adult population. However, there is a lack of knowledge about how to profile older users to most effectively personalize BC ...

2021

True scale-free networks hidden by finite size effects

Andrea Rinaldo, Samir Suweis, Amos Maritan

We analyze about 200 naturally occurring networks with distinct dynamical origins to formally test whether the commonly assumed hypothesis of an underlying scale-free structure is generally viable. This has recently been questioned on the basis of statisti ...

National Academy of Sciences2021

p Recommender systems: Past, present, future

Pearl Pu Faltings

The origins of modern recommender systems date back to the early 1990s when they were mainly applied experimentally to personal email and information filtering. Today, 30 years later, personalized recommendations are ubiquitous and research in this highly ...

AMER ASSOC ARTIFICIAL INTELL2021

Personalizable intervention systems to promote healthy behavior change

Igor Kulev

Adopting healthy behaviors can prevent the onset of many adverse health conditions. However, behavior changes are difficult to make, and often, people who like to improve their behaviors do not know how to do that. Personalizable intervention systems could ...

EPFL2020

Recommender System for Responsive Engagement of Senior Adults in Daily Activities

Pearl Pu Faltings, Igor Kulev, Yuan Lu

Understanding and predicting how people change their behavior after an intervention from time series data is an important task for health recommender systems. This task is especially challenging when the time series data is frequently sampled. In this pape ...

SPRINGER INTERNATIONAL PUBLISHING AG2020

Behavioral Change towards EE by Utilizing ICT Tools

Marina Dorokhova

Due to end-users’ habit being one of the prominent factors influencing building performance, changing user behavior to encourage energy efficient habits has tremendous potential to facilitate energy savings. Four ongoing European projects, eTeacher, FEEdBA ...

2020

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