{"type":"data","nodes":[{"type":"data","data":[{"lab":1,"legalFooterLinks":37},{"identity":2,"contacts":13,"office_hours":30,"web":32,"languages":34,"locale":36},{"name":3,"short_name":4,"description":5,"organisation":6,"organisation_url":7,"organisation_logo":8,"university":9,"university_url":10,"university_logo":11,"established":12},"Human-Centered Intelligent Systems Lab","HCIS Lab","We are shaping the future of automotive technology through intelligent systems that seamlessly integrate human needs with cutting-edge AI innovation.","AImotion Bavaria","https://www.thi.de/forschung/aimotion/","/content/lab/aimotion-bavaria.png","Ingolstadt University of Applied Sciences","https://www.thi.de/","/content/lab/thi.png",2025,{"addresses":14,"emails":21,"phones":24,"primary_type":16,"primary_email":23,"emailsByType":27,"addressesByType":28,"phonesByType":29},[15],{"type":16,"title":9,"street":17,"city":18,"postal_code":19,"country":20},"office","Esplanade 10","Ingolstadt","85049","Germany",[22],{"type":16,"email":23},"hcis@thi.de",[25],{"type":16,"number":26},"+49 841 9348 0",{"office":23},{"office":15},{"office":26},{"days":31,"timezone":-1},{},{"social":33},{},["Set",35,36],"DE","EN",[38,42,47],{"slug":39,"name":40,"label":40,"href":41},"datenschutzerklaerung","Datenschutzerklärung","/legal/privacy/datenschutzerklaerung",{"slug":43,"name":44,"label":45,"href":46},"barrierefreiheitserklaerung","Erklärung zur Barrierefreiheit","Barrierefreiheit","/legal/accessibility/barrierefreiheitserklaerung",{"slug":48,"name":49,"label":49,"href":50},"impressum","Impressum","/legal/impressum"],"uses":{}},{"type":"data","data":[{"offer":1,"instructors":33,"assistants":58},{"slug":2,"title":3,"description":4,"key_topics":5,"type":11,"level":12,"code":13,"ects":14,"language":15,"instructors":16,"assistants":18,"period":20,"weekday":21,"time":22,"room":23,"duration_weeks":24,"capacity":25,"materials":26,"updatedAt":30,"isPublished":31,"html":32},"mock-applied-ux-research-lab-ss26","Applied UX Research Lab","Hands-on studio focusing on planning, running, and analyzing UX studies with real stakeholders.",[6,7,8,9,10],"UX Research in Practice","User Studies And Ethics","Qualitative Methods In HCI","Data Analysis Techniques","Stakeholder Engagement - Communication","lab","Master","UXD-672",6,"EN",[17],"ignacio-alvarez",[19],"tugcan-onbas","SS26","Friday","10:00–13:00","Lab B",12,20,[27],{"label":28,"url":29},"Lab Handbook","/assets/teaching/aur-ss26/handbook.pdf","2025-11-02",true,"\u003Ch2 id=\"overview\">\u003Ca href=\"#overview\">Overview\u003C/a>\u003C/h2>\n\u003Cp>Hands-on studio focusing on planning, running, and analyzing UX studies with real stakeholders.\u003C/p>\n\u003Ch2 id=\"learning-outcomes\">\u003Ca href=\"#learning-outcomes\">Learning Outcomes\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Translate stakeholder goals into testable questions\u003C/li>\n\u003Cli>Collect and analyze qualitative data reliably\u003C/li>\n\u003Cli>Communicate evidence to product teams\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"assessment\">\u003Ca href=\"#assessment\">Assessment\u003C/a>\u003C/h2>\n\u003Cp>Study plan (30%), field execution (40%), final report & presentation (30%)\u003C/p>\n\u003Ch2 id=\"schedule\">\u003Ca href=\"#schedule\">Schedule\u003C/a>\u003C/h2>\n\u003Cp>Weeks 1–4: Planning & ethics\u003Cbr>\nWeeks 5–8: Data collection\u003Cbr>\nWeeks 9–12: Analysis & reporting\u003C/p>",[34],{"slug":17,"firstname":35,"lastname":36,"title":37,"email":38,"role":39,"quote":40,"image":41,"cv_podcast":42,"interests":43,"skills":44,"social":55,"updatedAt":30,"isPublished":31,"html":57},"Ignacio","Alvarez","Prof. Dr.","ignacio.alvarez@thi.de","Lab Director","Pioneering the next wave of human-centric AI to build a safer, more intelligent mobility future","/content/people/ignacio-alvarez/profile.png","/static/assets/people/ignacio-alvarez/cv-podcast.mp3",[],[45,46,47,48,49,50,51,52,53,54],"Automated Driving","Artificial Intelligence & Machine Learning","Generative AI","User-Centered Design","Human–Computer Interaction (HCI)","Functional Safety","Connected Vehicles (V2X)","Automation","Verification & Validation","Digital Twins & Large Scale Simulation",{"website":56},"https://ignacioalvmar.com/","\u003Cp>Ignacio Alvarez is Professor of Human-Centered Intelligent Systems at Ingolstadt University of Applied Sciences (THI). His research explores the intersection of artificial intelligence, automotive engineering, and human–computer interaction. In 2025, he was awarded a Top-Professorship under Bavaria’s High-Tech Agenda, recognizing his leadership in shaping the future of intelligent mobility.\u003C/p>\n\u003Cp>Before joining THI, Prof. Alvarez spent more than a decade at Intel Labs as Principal Engineer in Automated Driving, where he led projects in AI safety, vehicle communications, and user experience. His work contributed to Intel Automotive and Mobileye products and to open-source simulation platforms such as GENIVI and CARLA. Earlier in his career, he was Systems Architect leading BMW’s Connected Drive program, developing next-generation telematics, speech technologies, and smartphone integration.\u003C/p>\n\u003Cp>He holds over 160 patents, has published more than 50 research articles, and has played an active role in international standardization efforts on vehicle-to-everything (V2X) systems and automated vehicle safety. Beyond his research, Prof. Alvarez is active in the scientific community as chair-elect of ACM’s AutoUI Steering Committee and as a Senior Member of IEEE, ITSS, and SAE.\u003C/p>",[59],{"slug":19,"firstname":60,"lastname":61,"email":62,"role":63,"quote":64,"image":65,"interests":66,"skills":67,"social":75,"updatedAt":79,"isPublished":31,"html":80},"Tuğcan","ÖNBAŞ","tugcan.oenbas@thi.de","UXD / AI","Fusing creativity and technology to design experiences that bridge imagination and intelligent systems.","/content/people/tugcan-onbas/profile.png",[],[49,68,69,70,71,72,73,74],"Human-Centered & AI-Driven Experience Design","Multimodal Interaction","User Experience Research","Experience Engineering","Interactive Systems Prototyping & Development","Data-Driven Interaction Design","Applied Research Communication",{"website":76,"github":77,"linkedin":78},"https://tugcanonbas.com","https://github.com/tugcanonbas","https://www.linkedin.com/in/tugcanonbas","2025-10-31","\u003Cp>Tuğcan ÖNBAŞ is a student assistant in the Human-Centered Intelligent Systems at Ingolstadt University of Applied Sciences (THI), where he is pursuing a Master’s degree in User Experience Design with a focus on the intersection of design, technology, and intelligent systems within mobility and automotive contexts.\u003C/p>\n\u003Cp>His portfolio includes a range of independent engagements—from iOS and web apps to design systems and Swift packages—bridging software engineering with visual communication. This experience informs his research in human–AI interaction, where he integrates design reasoning with technical experimentation to explore how intelligent systems can support intuitive, transparent interactions across diverse digital domains.\u003C/p>\n\u003Cp>His academic work explores human-centered AI across mobility, intelligent systems, and digital experience design, focusing on how AI-driven technologies can enhance interaction, perception, and engagement in both physical and digital contexts. His research interests include multimodal interaction, affect-sensitive interfaces, and the integration of large language models into user experience, emphasizing clarity, contextual awareness, and the creation of meaningful, adaptive systems that advance human-centered innovation.\u003C/p>"],"uses":{"params":["slug"]}}]}