Commit d13873b5 authored by Winnie's avatar Winnie

Update image extension

parent 92ebc49b
......@@ -252,12 +252,12 @@ After the demonstration of different inputs for data capture, this section discu
### 4.9.1 Web Analytics and Heatmap
The most widely used web analytics service is currently offered by Google that tracks data on website traffic and browsing behaviors, including number of unique visits, average time on site, browser and operating system information, traffic sources and users' geographic locations, etc.
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*Figure 4.4: Screenshot of Google Analytics*
Among different visualization tools, Heatmap is a graphical representation of data to visualize user behavior. It is commonly used in industries for the purpose of data analytics. For example, it is possible to track the cursor's position and compute the stay's duration on different parts of a web page so as to present which contents are hot or not. This is useful for many marketers to understand which part of their content is more attractive to their users. In particular if pages with advertisement, it will be useful for companies to analyze where to place the advertisement and content according to screen behaviors.
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*Figure 4.5: An example of heatmap on analysing a web page*
Big companies like Facebook[ref: Will Conley (2013), Facebook investigates tracking users' cursors and screen behavior. Available at: https://www.slashgear.com/facebook-investigates-tracking-users-cursors-and-screen-behavior-30303663/.] constantly investigate differnet methods for data collection in order to optimize the screen presentation. Yet, how people know exactly about what have been captured and how data will be used?
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### 4.9.5 Voice and Audio data
Smart devices like our computers, phones and gagets are now equiped with the feature of voice recognization through Siri, Google Assistant or Alexa, turning an audio input into a command for software processing, and feedback with "more personalised experiences" to assist in many organizational works. Finn Ed uses the term "Culture Machines" to think about how algorithms are operated at a "marco-social level" that produces "cultural objects, processes and experiences" (p. 34). It is worth further thinking about these audio assistants, what are the ambitious of such cultural objects?
![](ch4_6.jpg)
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*Figure 4.6: Screenshot of Voice & Audio activity*
### 4.9.6 Health tracker
Within the domain of health and well being, one can find a growing trend of quantified self - a phenomenon of self-tracking with technology. Data such as movement, steps, heart rate and even sleep pattern can be traced and analyzed easily with software behind the use of wearable devices and gagets.
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*Figure 4.7: Screenshot of Sleep tracker*
There are also many other kinds of data that can be captured, quantified and analyzed as part of life, work and play. In 2015, transmediale, an annual festival for art and digital culture in Berlin, posted a call for works on such theme, addressing the culture's pervasive logic of CAPTURE ALL and its quantificaton of life, work and play. Some interesting questions worth to think about: "Are there still modes of being that resist the imperative of digital capitalism to CAPTURE ALL or is there no option but to play along? If so, are there artistic strategies and speculative approaches that do not play this game of quantification by the numbers? What are the blind spots and gaps of relentless quantification and gamification that can be exploited in order to carve out new ways of living?" [ref: See https://transmediale.de/content/call-for-works-2015]
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