<html><body><div style="font-family: trebuchet ms,sans-serif; font-size: 12pt; color: #000000"><div><div>Dear Colleagues,</div><div><br data-mce-bogus="1"></div><div>We would like to share with you that our new special issue in the journal of Electronics (IF: 2.69) <!--StartFragment--><span style="color: #000000; font-family: 'trebuchet ms', sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;" data-mce-style="color: #000000; font-family: 'trebuchet ms', sans-serif; font-size: 16px; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; background-color: #ffffff; text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; display: inline !important; float: none;">is open for submissions</span><span style="font-size: 12pt;">:</span></div><div><strong><br data-mce-bogus="1"></strong></div><div><strong>Title: Explainability in Human-Computer Interaction and Collaboration</strong> </div><div> <!--StartFragment--><div>Link: <a href="https://www.mdpi.com/journal/electronics/special_issues/explainability_HCI">https://www.mdpi.com/journal/electronics/special_issues/explainability_HCI</a></div><div><span style="font-size: 12pt;">Topic:</span><br></div></div><div>Explainability, also known as interpretability in some contexts, in human–computer interaction (HCI) and collaboration refers to the ability of a computer system to provide users with information about their inner workings and why certain decisions were made. The combination of explainability and HCI can help to improve the user satisfaction, trustworthiness, effectiveness, and efficiency of AI systems by designing them in a way that considers the human perspective and context while reducing errors and biases.</div><div><br></div><div>We look forward to receiving your contributions.</div><div><br></div><div>Best Regards,</div><div>Dr. Yazan Mualla</div><div>Dr. Amro Najjar</div><div>Dr. Igor Tchappi</div><div>Dr. Joris Hulstijn</div><div>Prof. Dr. Leon van der Torre</div><div>Guest Editors</div></div><div data-marker="__SIG_PRE__"><div><br></div></div></div></body></html>