Mobile motivators

Whether you are learning a foreign language, training for the city marathon or want to lose five kilos – the digital motivator eCoach will help you to achieve your personal goals. The system runs on any cell phone or PDA and provides just the right amount of motivation.

Instead of the shrill sound of the alarm clock, your cell phone wakes you in the morning with a happy mp3 song. On the display you read the encouraging message, "What a wonderful morning! It's time to put on your running shoes and go for a jog around the park." This digital motivator is called eCoach and is being developed by researchers at the Fraunhofer Institute for Communication Systems ESK. It is intended to help users achieve their personal goals. Irrespective of whether you want to learn a new language or lose weight, eCoach provides regular motivation to help you reach the goals you have set yourself, for example by sending you training tips, a congratulatory text message or a critical appraisal of your performance.

Dr. Dong-Hak Kim, project manager at the ESK, explains the principle behind eCoach: "The dynamic of eCoach is based on a psychological behavioral model which states that the feedback we get for a particular piece of behavior is important for determining how we conduct ourselves in the future. A kind of dynamic behavioral cycle therefore develops." What is special about eCoach is that it adapts to the user's behavior. It communicates independently with the user and asks, for instance, whether they are following their training plan. If users diligently keep to their plan they are rewarded with a cinema voucher, for example – similar to the bonus systems operated by health insurance companies.

Users can decide from case to case whether their cell phone or their PDA is to be their motivator. The devices are connected to the eCoach server via the Internet, so that the service can be used anytime and anywhere. eCoach also has a community function, allowing the establishment of virtual communities made up of people sharing the same goal. The system anonymously compares personal success with that of the other members. Group dynamics and shared experiences help to stimulate and enhance the training.

For further information, please contact:
Dr. rer. nat. Dong-Hak Kim
Phone: +49 89 547088-347
Fax: +49 89 547088-220
Fraunhofer-Einrichtung für Systeme der Kommunikationstechnik
ESK, Hansastraße 32
80686 München

www.esk.fraunhofer.de

Most Popular Now

Most Advanced Artificial Touch for Brain…

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves...

Predicting the Progression of Autoimmune…

Autoimmune diseases, where the immune system mistakenly attacks the body's own healthy cells and tissues, often have a preclinical stage before diagnosis that’s characterized by mild symptoms or certain antibodies...

Major EU Project to Investigate Societal…

A new €3 million EU research project led by University College Dublin (UCD) Centre for Digital Policy will explore the benefits and risks of Artificial Intelligence (AI) from a societal...

Using AI to Uncover Hospital Patients�…

Across the United States, no hospital is the same. Equipment, staffing, technical capabilities, and patient populations can all differ. So, while the profiles developed for people with common conditions may...

New AI Tool Uses Routine Blood Tests to …

Doctors around the world may soon have access to a new tool that could better predict whether individual cancer patients will benefit from immune checkpoint inhibitors - a type of...

New Method Tracks the 'Learning Cur…

Introducing Annotatability - a powerful new framework to address a major challenge in biological research by examining how artificial neural networks learn to label genomic data. Genomic datasets often contain...

Picking the Right Doctor? AI could Help

Years ago, as she sat in waiting rooms, Maytal Saar-Tsechansky began to wonder how people chose a good doctor when they had no way of knowing a doctor's track record...

From Text to Structured Information Secu…

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected...

AI Innovation Unlocks Non-Surgical Way t…

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery. The proof-of-concept study, co-led...

Deep Learning Model Helps Detect Lung Tu…

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA)...

New Study Reveals AI's Transformati…

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel...

One of the Largest Global Surveys of Soc…

As leaders gather for the World Economic Forum Annual Meeting 2025 in Davos, Leaps by Bayer, the impact investing arm of Bayer, and Boston Consulting Group (BCG) announced the launch...