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<p><b style="font-weight:normal;"
id="docs-internal-guid-fe8c6a6c-7fff-2bf2-176b-165a581d84aa">
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Hello everyone,</span></p>
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style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><a
href="https://www.labvanced.com/"
style="text-decoration:none;"><span style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Labvanced</span></a><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> has just released a cutting edge</span><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> deep learning based eye tracking algorithm,</span><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> which uses the webcam to track the gaze of participants. We are highly confident that not only is this much better than webgazer.js or other algorithms doing webcam based eye tracking, but we actually believe that the accuracy is good enough for at least 80-90% of eye tracking research, which is normally done in the lab. We made several demos, so please try and give us feedback about this approach. You can use these studies also as templates for your own eye tracking research on</span><a
href="https://www.labvanced.com/"
style="text-decoration:none;"><span style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> Labvanced</span></a><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> (</span><a
href="https://www.labvanced.com/"
style="text-decoration:none;"><span style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">https://www.labvanced.com</span></a><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">). Please note that this algorithm runs completely client side and no video data / face data will be stored on our system, so your privacy and your participants’ privacy is guaranteed!</span></p>
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<li dir="ltr" style="list-style-type:decimal;font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" role="presentation"><a href="https://www.labvanced.com/page/library/11099" style="text-decoration:none;"><span style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">https://www.labvanced.com/page/library/11099</span></a><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> This is a performance test where the predicted gaze position will be displayed onto the screen, so you can test how good the prediction really is.</span></p></li>
<li dir="ltr" style="list-style-type:decimal;font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" role="presentation"><a href="https://www.labvanced.com/page/library/11327" style="text-decoration:none;"><span style="font-size:11pt;font-family:Arial;color:#1155cc;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;-webkit-text-decoration-skip:none;text-decoration-skip-ink:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">https://www.labvanced.com/page/library/11327</span></a><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> This is a little game where you have to fixate objects to "destroy" them before they reach the bottom of the screen.</span></p></li>
</ol>
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<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">A few things to note: </span></p>
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<li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" role="presentation"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Calibration will currently take 7-8 minutes. We will cut this down over time to about 4-5 minutes.</span></p></li>
<li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" role="presentation"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">It requires a decent computer/laptop, we will soon provide an initial “system check” to exclude people with too old equipment, or other reasons why it might not work.</span></p></li>
<li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;"><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;" role="presentation"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Further improvements in accuracy will most likely be coming in the next months by leveraging larger training sets and improving drift correction.</span></p></li>
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<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;"> If you have any questions about our new Eye-Tracking technology, or if you are interested to use our platform, please email me, we will also be happy to provide a free demo via Google Meet at your convenience.</span></p>
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<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Best regards,</span></p>
<p dir="ltr"
style="line-height:1.38;margin-top:0pt;margin-bottom:0pt;"><span style="font-size:11pt;font-family:Arial;color:#000000;background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre;white-space:pre-wrap;">Leah Lee</span></p>
</b><br>
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<div><a data-cke-saved-href="http://www.labvanced.com"
href="http://www.labvanced.com" rel="noopener noreferrer">Labvanced</a>
- The intuitive cloud solution for online experiments</div>
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<div>Grunigerstr. 19</div>
<div>33102 Paderborn</div>
<div>Germany</div>
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<div>phone: (+49) 5251-5449385</div>
<div>website: <a data-cke-saved-href="http://www.labvanced.com/"
href="http://www.labvanced.com/" style="color:rgb( 153 , 0 , 153
)" rel="noopener noreferrer">www.labvanced.com</a></div>
<div>email: <a data-cke-saved-href="mailto:leah@labvanced.com"
href="mailto:leah@labvanced.com" rel="noopener noreferrer">leah@labvanced.com</a></div>
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<div>Scicovery GmbH Amtsgericht Paderborn HRB 13448</div>
<div>Geschäftsführer: Caspar Goeke, Holger Finger</div>
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