In recent times, commercial grade sensors such as those developed by NeuroSky and Emotiv are available that are cheap, relatively accurate and have ready API support. The wearable kits can relay the user’s current attention or concentration level and communicate this data via Bluetooth in real time with a smart device such as a Smartphone. Using such kits, one can determine the concentration or interest level of the user when they are reading a specific section of the web page. Using this, one can make the web browser responsive to the user’s interest level in real time. In this paper we present the design of a web browser that is responsive to the user’s interest level, using wearable sensors to determine the attention of the user and map it to the section that the user is reading on the current webpage, captured via the scroll position. shows the high level architecture of the system. Our implementation is integrated mainly with the mobile web browser architecture; although an equivalent method can be used with desktop browsers also The rest of the paper is organized as follows: in section 2 we look at related work in the area. Section 3 introduces our proposed solution using to capture the current attention .
Two important factors which indirectly influence the Internet shoppers to make some online purchases are the visual layout and the presentation of web page. In this paper, we propose an approach of web page layout analysis in order to assess the design of e-commerce Web sites. Firstly, our proposed method segments each web page into five different blocks: top, left, center, right and bottom. We study three main feature types: spatial, location and presentation, which effect the design of each page. The spatial feature set includes the width-length ratio and relative area of each block while the location feature set is the appearance positions of e-commerce components such as navigation, product index and customer service. The presentation feature set represents page characteristic and navigation menu format that appear on the page or block such as navigator style, menu type, image alignment and text density. To perform the experiments, we consider the top 100 Internet retailers as ranked by the Internet Retailerpsilas Top 500 Guide. More Details
We adopt classification algorithms in order to construct a model from the top Web sites against other 100 randomly selected e-commerce Web sites. The experimental results showed that the model which is constructed based on the presentation feature set yields better performance than using the spatial and location feature sets. Click Here
To be successful problem solvers, students need to develop familiarity with several scientific concepts, including levers, direction of force, resultant force, and composition of forces, component forces and equilibrium of force. The lesson was designed in three versions.
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