The Future is Wearable…



Wearable tech is the future of ubiquitous computing and affective computing. “Ubiquitous Computing” is computing anywhere and everywhere. “Affective Computing” is computing that recognizes, processes, and responds to human affect & emotion.

Wearables can bridge the two, empowering tech to transparently adapt and respond to personal life experience.

Posted: February 11, 2015

Gartner Predicts Growth of Wearable Tech

Many of my readings for CS855 Futuring and Innovation (and also for my dissertation) have touched on the science of Affective Computing, Ubiquitous Computing, flight simulating/training, wearable technology, and self-quantification.

Screen Shot 2015-02-11 at 11.11.39 PMLate last year Gartner revealed a number of predictions regarding consumer adoption of wearable technologies in 2015 through 2018 and beyond. The company predicts a dramatic increase in sales of wearable devices, particularly fitness and biometric wearables (see the excerpt below), including smart clothing. Further prediction includes the sales of these devices through atypical channels such as wellness/health providers, gyms, insurance providers, weight loss companies, and even employers, including subsidized or discounted pricing. Continue Reading →

Posted: February 2, 2015

Adaptive Trends

The adoption of Affective Computing principles and data analytics are not limited to wearable technology and self-quantification. These principles are now emerging in the teaching and learning space. The New Media Consortium (2014) discusses the growth of data-driven learning and assessment, and how it will impact higher education in the next three to five years in its annual report on Higher Education. Continue Reading →

Posted: January 19, 2015

Predicting Wearable Adoption

The Delphi Method is a systematic problem solving and decision making technique developed to address complex problem using a group of subject matter experts, and was originally developed as a forecasting method (2007, Cialkowska et al).

The Delphi Method is based on the presumption that decision from an organized and structured group are more accurate than decisions from individuals or non-structured groups. It is an anonymous and iterative process overseen by a facilitator. The facilitator is responsible for gathering responses to surveys or forms from the anonymous participants, and analyses those responses to find common viewpoints and conflicting viewpoints. The process of gathering and analyzing responses is repeated until consensus is achieved.

Continue Reading →

Posted: January 17, 2015

Quantifying Self

Wolf, G. (2010, June). The quantified self. Retrieved from

In his 2010 TED talk, Gary Wolf discusses the concept of “Self Quantification.” Wolf asserts that numbers can be used for more than advertising, governance, management, or even searches. Wolf believes that they can also be used by individuals as they  “reflect, learn, remember and want to improve.”

He discusses the growing trend of individuals tracking self-information in the years leading up to his talk, beyond the typical (such as tracking weight on a scale). People began to track things on mobile devices such as food consumption, spending, moods, exercise, and even health issues and treatments (2010, Wolf).

At the time of Wolf’s talk, 1st generation fitness trackers were just beginning to emerge, such as the original Fitbit and Nike’s predecessor to today’s Nike Fuel Band, the Nike+ tracker. Since then, dozens of different health and fitness tracker have come to market, with a much wider array of sensors and data available than ever before. For a few hundred dollars, it is possible to wear a device that reliably tracks motion and exercise, continuous heart rate, electrodermal response (a.k.a. EDA), heart rate variability, skin temperature, GPS location, exercise intensity and duration, and sleep quantity and quality.
Continue Reading →

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