<html xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"> <head> <meta http-equiv="Content-Type" content="text/html; charset=us-ascii"> <meta name="Generator" content="Microsoft Word 15 (filtered medium)"> <style></style> </head> <body lang="en-NL" link="#0563C1" vlink="#954F72" style="word-wrap:break-word"> <div class="WordSection1"> <o:p></o:p> Within the Human Media Interaction Lab of the University of Twente we are looking for an assistant professor in the area of AI and NLP, Virtual Humans, with special interest in Embodied Conversational Systems. We are looking for a candidate who has in-depth technological knowledge and wants to build a career on this, but also knows or wants to apply this in the domain of coaching for sports, health and well-being.<o:p></o:p> <o:p></o:p> You can find more information on this website.<o:p></o:p> <a href="https://utwentecareers.nl/en/vacancies/1086/assistant-professor-ai-for-health-coaching/">https://utwentecareers.nl/en/vacancies/1086/assistant-professor-ai-for-health-coaching/</a><o:p></o:p> <o:p></o:p> Research into multimodal conversational systems such as chatbots, virtual humans, or social robots to coach people to live a healthier lifestyle, both from a physical and mental perspective, has seen a steady growth in the past couple of years. With the introduction of conversational systems such as ChatGPT and Bard, it looks as if smooth natural language conversations with an AI system have become possible. However, lifestyle coaching systems need a more sensitive and controlled mechanism to decide on what personalized advice to give. They need to be sensitive to the possibly vulnerable physical and mental state of the user and be aware of the possible effects of their advice. Furthermore, the information they provide should be communicated in a convincing way, but also be reliable and trustworthy. We are looking for a candidate with an AI background that can contribute to intelligent systems that can realise these goals.<o:p></o:p> <p class="normal" style="mso-margin-top-alt:0cm;margin-right:0cm;margin-bottom:30.0pt;margin-left:0cm;line-height:22.3pt;box-sizing: border-box;caret-color: rgb(30, 35, 40);font-variant-caps: normal;orphans: auto;text-align:start;widows: auto;-webkit-text-size-adjust: auto;-webkit-text-stroke-width: 0px;word-spacing:0px"> Human Media Interaction (HMI) is a diverse and interdisciplinary research group that studies and designs interactive systems that users can intuitively interact with, ranging from Brain Computer Interfaces to Conversational Systems and Ambient Intelligence applications. In the area of Conversational Systems, HMI has expertise on speech technology, dialogue systems, embodied conversational agents and social robots. On the theme of e-Health, HMI has a strong tradition in contributing to a variety of coaching systems such as applications to increase physical fitness, advice on particular conditions (asthma, diabetes), or helping people to stop smoking or drinking. Research is conducted in coalitions with other research groups from inside and outside the University of Twente and with external stakeholders such as hospitals, rehabilitation centers, elderly homes, etcetera.<o:p></o:p> <o:p></o:p> </div> </body> </html>