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

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...