Question

Figure 8-17 on page 261 in your textbook lists traditional, evolving, and emerging technologies used to capture and enter data into a system. List 10 actual examples with descriptions of innovative methods to capture data. To get you started look at law enforcement, agriculture, GPS, hand held devices, manufacturing, RFID, barcoding among other numerous fields. You can also think about devices/methods that are actually used, are unexpected, or cutting edge. In your description make sure you describe how this method is better, faster, less expensive, etc. than current methods. List sources that you used. Record your answers in a Word document. There is no minimum word or page count. Each example must describe the application and explain how this method is better than other methods (a paragraph). Grading: One point for each innovative data capture item listed and discussed. An additional five points will be awarded for format, grammar, spelling, and use of citations.

Answer 1

1. Google Lens:

Google Lens is an image recognition technology developed by Google, designed to bring up relevant information related to objects it identifies using visual analysis based on a neural network.

Available on almost every smartphone device with an internet connection, thus, is easily accessible. Also, works in the same way a person uses his/her smartphone camera therefore easy to use.

2. Optical Character Recognition (OCR):

   OCR technology is used to convert different types of machine-printed documents including image files, PDF files or scanned paper documents, into searchable and editable data.

3. Chatbots:
   It is an artificially intelligent software program that uses natural language processing to hold a conversation with its users. It can collect data which is in the form of doubts or queries in the mind of consumer. It is very similar in experience to chatting with another human being. Many websites have such chat bots. Some examples are Swelly- Facebook Messenger chatbot, Natasha- hike chatbot.

4. Intelligent Character Recognition (ICR):

   ICR technology helps to recognize and capture handwritten characters from images. Since it is based on machine learning technology, it evolves continuously by itself and as the number of samples processed increases, the accuracy increases and the error rate decreases.

5. Eye-tracking technology allows researchers to track eye movements in real time. Knowing what people are seeing and what they pay attention to assists with advertising, web and product design. This data is quantified and an aggregated visual analysis is presented depicted the pattern and strength of gazes.

6. Galvanic skin response. Galvanic skin measurement is done to detect a change in the electrical resistance of the skin caused by emotional stress. It is measured with a sensitive galvanometer. For example, we can measure the reaction of a consumer to a brand, advertisement, web page, in-store experience, fragrance etc.

7. Smart speakers: Smart speakers or for that matter any smart electronic device can be used to listen to people's conversations and capture data. Examples- Amazon's Alexa and google home.

8. Smart-Cards:

   Smart cards are pocket-sized cards with embedded integrated circuits. They contain more memory than magnetic cards and can be used for data related to personal identification, authentication, biometrics etc. Upon interaction with suitable reading devices they enable automated information transfer and data access. A very common example are metro cards.

9. Web tracking technologies (like cookies or meters) allow researchers to monitor websites in terms of how long users spend on them, when they visit, which links are clicked through and so forth. Through this, researchers can gain a deep understanding of how consumers behave online, which content interests them and which products and services they research and purchase. This type of data is also used to improve advertising effectiveness.

10. Electroencephalography (EEG) is a new technique used by researchers to map brain electrical activity and emotional response to marketing material.

Sourses:

15 Innovations in data collection methods written by Grant Robertson.

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