Wearable Data Hack Munich 2015

Wearable Data Hack Munich 2015

Today, we would like to announce something special. Something we can’t wait to take place and until mid June it’s going to be tough to sit tight. Please, feel invited to our Wearable Data Hack Munich 2015! The Wearable Data Hack Munich 2015 is the first hack day on wearable tech applications and data. It will take place right after the launch of Apple Watch – the gadget we expect to rise the tide for all wearables. Withe the Wearable Data Hack Munich 2105, we aim to kick-off app development for the emerging smartwatch and wearable tech market. During this weekend you will have the first occasion to share your views and ideas and jointly gather experience with the new data realm. Apple calls the Apple Watch “Our most personal device ever”. And with good cause: The data from wearable tech, smartphones and smartwatches are really the most personal data ever. Our mobile devices accompany every step we take, every move we make. A plentitude of sensors on the devices draw a multidimensional picture of our daily lives. Applications of wearable data range from fitness to retail, from automotive to health. There is hardly an industry that cannot make direct […]

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The Datarella World Map Of Behavior

The Datarella World Map Of Behavior

Every smartphone user produces more than 20 MB of data collected by her phone’s sensors per day. Now, imagine the sensor data of 2 billion smartphone users worldwide, translated into realtime human behavior, shown on a global map. That is the vision of the Datarella World Map of Behavior. A typical 2015 generation smartphone sports up to 25 sensors, measuring activities as diverse as movements, noise, light, or magnetic flux. Most smartphone users aren’t even aware of the fact that their phone’s camera or microphone never are really „off“ but that they constantly collect data about the noise level or the intensity of light the user is experiencing. Actions speak louder than words Actions speak louder than words – if we want to really know a person we have to know how she behaves, and not only what she says. And that’s not only true for politicians. We all form our opinions on others by looking at their actions, more than their words. Many inter-personal problems result from NOT looking at people’s actions, but focusing on other aspects, such as their looks or their words. Behind superficial distinctions such as physical appearances, over time we often realize similarities with other […]

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The Datarella Data Timeline

The Datarella Data Timeline

If you live in the Americas, Europe, Asia-Pacific or Australia, you probably are one of 1.76 billion smartphone users. What do you do with your smartphone? You use apps for texting, social networking, gaming, etc. And you produce data. Lots of data. Every move you make, every breath you take, your behavior results in data: location, movement, body functions, external situational data. And you produce all this data on the fly, passively, without any effort. But where is this data? Can you see it? Do you know exactly which data you produce? At which times or to what extent? Do you know that your data can be of tremendous value for you? That you can improve your health by using it? Can you imagine knowing all about your data, that you see your data, in realtime, presented in a meaningful way that lets you understand its value? Welcome to the Datarella Data Timeline  The Data Timeline  is an app-centric timeline of your own behavior data and that of your social network. Using the Data Timeline is like looking into a mirror: you see yourself – not your external appearance but the visualization of your body data, you see the most complete […]

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Datarella Wins Bits&Pretzels Startup Pitch

Datarella Wins Bits&Pretzels Startup Pitch

We’re excited to have won the startup pitch at Germany’s biggest startup conference – Bits&Pretzels! We’re still partying – therefore please don’t try to contact us during the next days 😉 Your Team Datarella

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Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Sharing Goods And Sharing Data: Both Is Fun, Big Business And A Social Responsibility

Around 2010, Lisa Gansky coined the term Sharing Economy, or Mesh companies, offering their customers efficient shared access to their products instead of selling their products to them. Recently, it’s being called Collaborative Consumption or Collaborative Economy. It’s all about finding ways to make better use of valuable resources that have remained unused. Convenient access is being made affordable to people who can’t afford different products, or simply don’t need to own those products since they would only use them infrequently. Typical mesh businesses like AirBnB, LendingClub or Cookening, demonstrate the power of sharing in very different ways: AirBnB is on the way to pass Hilton as the world’s largest hotelier in 2015, that is 7 years after its inception. The US peer-to-peer lending company Lending Club has originated over 4 billion USD in loans – it was originally founded as a Facebook app in 2006. The typical Mesh business runs a stylish app with a high usability. It’s service is new, easy to use and affordable. But all that does not fully explain the tremendous speed they conquer one market after the other. Who is the driver behind the Sharing Economy and it’s success? It’s the user. It’s the […]

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Global Sleep Patterns

Global Sleep Patterns

Sleep is one of the most interesting aspects of life: during sleep we don’t act consciously (apart from a few natural processes inside our body) and therefore some people try to minimize sleep to get most out of their lives. Others maximize their sleep: for them sleep simply is the greatest activity they could think of. The Quantified Self folks try to optimize their sleep; i.e. to maximize their sound sleep phases and minimize light sleep and times of being awake. The guys from Jawbone looked at their UP band user’s sleep data and could provide us with this interesting global sleep pattern. Since Jawbone’s data are more detailed and accurate than the American Time Use Survey, this view on the different sleep patterns provides great insights in how inhabitants of cities behave, or how active a city is, seen as a whole. The average hours of sleep shown in the feature visual above do not include time awake in bed. Science tells us that we should sleep between 7 to 8 hours per night and we should sleep during the same cycles in order to maximize recovery and relaxation from our daily routines. Now look at people living in Tokyo: with […]

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A Bit of Data Science – What Your Battery Status Tells About You

A Bit of Data Science – What Your Battery Status Tells About You

Working with lots of data, the biggest challenge is not to store or handle this data – these jobs are far from being trivial, but there are solutions for nearly any kind of problem in this space. The real work with data starts when you ask yourself: what’s behind the data? How could you interpret this data? What story can you tell with this data? That’s what we do and we want to share some of our findings with you and motivate you to join our discussion about the meaning of the data . We want to create Data Fiction. Today, we start with some sensor data collected by our explore app – the smartphone’s battery status including the loading process. Below you see sample data for our user’s behavior during the week (Feature Visual) and at the weekend (Figure 1). Figure 2: Smartphone Battery Status (weekend) (Datarella) In Figure 1 you see that most users load their smartphones around 7 a.m. and (again) around 5 p.m. What does that tell us? First, we know when most users wake up in the morning – around 7 a.m.. Most probably they have used their smartphones‘ alarm functions and then connect their devices to the power […]

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The design of the explore app – The Datarella Interview

The design of the explore app – The Datarella Interview

Today, we speak with Kira Nezu (KN), Co-founder of Datarella, about the design of the explore app. Q The explore app is available for Android smartphones only. What is the reason not to launch an iPhone version, too? KN We started to develop explore as a so-called MVP, a Minimum Viable Product. We chose Android to start with since it offers more variety regarding sensor and phone data. So we only test and make mistakes on one platform. At some point, we will also launch an iPhone version. Q explore consists of two different elements: the sensor tracking and the interaction area with surveys, tasks and recommendations. Could you tell us more about the structure and the functionalities of the app? KN With the MVP we are trying to stay as flexible as possible to enable fast changes and bug fixing. So we decided to create a hybrid app which incorporates native and web elements. The native part basically is the container with most of the graphics. The content is dynamically fetched from our backend, whereas the result area is fully created with web views. This brings great flexibility: we can update our content within minutes. Regarding the structure there are 3 […]

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User interaction with the explore app – The Datarella Interview

User interaction with the explore app – The Datarella Interview

Today, we speak with Yukitaka Nezu (YN), Co-founder of Datarella, about user interaction with the explore app. Q The explore app provides two key elements: sensor tracking and social interaction. You are responsible for the social interaction part. Could you tell us more about it? YN There are three different kinds of interactions among the editorial team and our users: – Surveys – Tasks – Recommendations With the surveys we ask our users about common trends and their everyday behavior. Answers are collected, analyzed and instantly presented in the feedback area. Based on the Quantified Self approach every single user sees her own results compared with other users. Then, we run different programs helping people to simply feel better. One of our popular programs, SMILE!, motivates the user to start smiling herself and to animate others to smile, too, in return. On a daily basis, SMILE! participants receive tasks they have to fulfill. SMILE! participants managed to feel better after having finished the program and were happier compared with non-participants. Last but not least, we provide two kinds of recommendations: – General recommendations regarding health, fitness, nutrition, etc. – Based on the individually collected sensor data as well as the answers […]

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Boost your wellbeing and happiness with the explore app program SMILE!

Boost your wellbeing and happiness with the explore app program SMILE!

Too much workload, stress and ultimately the burnout – that’s how many people see their everyday life. One way to handle the negative aspects of daily routines is to make it to the weekend (TGIF), another is to go on vacation. Whereas the first tactic is easy to realize but only helpful to a certain degree, the latter is possible once or twice a year for most of us. But there is another, more easy way to calm down and to boost your wellbeing and happiness: create and repeat small positive experiences – and you will see an immediate effect on your overall awareness of life. As Sonya Lyubomirsky and Kristin Layous show in their paper, based on research by Ed Diener and others, it’s the small and regularly repeated positive experiences which influence your wellbeing and happiness to a great extent. According to the Positive-Activity Model, features of positive activities, including their dosage, variety, sequence, and built-in social support, all influence their success in that process. Positive-Activity Model For our editorial team at Datarella, this model was a challenge: how could we use the explore app to get this model work in an optimal way? As always, the team decided […]

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