{"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":35,"assistants":59},{"slug":2,"title":3,"description":4,"key_topics":5,"type":9,"level":10,"code":11,"ects":12,"language":13,"instructors":14,"assistants":17,"period":19,"weekday":20,"time":21,"room":22,"duration_weeks":23,"capacity":24,"materials":25,"updatedAt":32,"isPublished":33,"html":34},"simulation-for-ux-studies","Simulation for UX Studies","Using CARLA/Unity to create controlled, reproducible UX experiments.",[6,7,8],"Design","Prototyping","Evaluation","workshop","Master","SIMUX01",5,"EN",[15,16],"amir-haddad","vanchha-chandrayan",[18],"lena-wolf","SS26","Monday","14:00–16:00","E1.12",14,24,[26,29],{"label":27,"url":28},"Syllabus (PDF)","/teaching/simulation-for-ux-studies/syllabus.pdf",{"label":30,"url":31},"Lecture Website","https://example.com/simulation-for-ux-studies/slides","2025-11-11",true,"\u003Ch2 id=\"overview\">\u003Ca href=\"#overview\">Overview\u003C/a>\u003C/h2>\n\u003Cp>Brief summary of the course, its learning objectives, and scope.\u003C/p>\n\u003Ch2 id=\"learning-outcomes\">\u003Ca href=\"#learning-outcomes\">Learning Outcomes\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Apply methods\u003C/li>\n\u003Cli>Build prototypes\u003C/li>\n\u003Cli>Evaluate UX at scale\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"assessment\">\u003Ca href=\"#assessment\">Assessment\u003C/a>\u003C/h2>\n\u003Cp>Projects, lab assignments, and a final presentation.\u003C/p>\n\u003Ch2 id=\"schedule\">\u003Ca href=\"#schedule\">Schedule\u003C/a>\u003C/h2>\n\u003Cp>Week‑by‑week labs and critiques.\u003C/p>",[36],{"slug":16,"firstname":37,"lastname":38,"title":39,"email":40,"role":41,"quote":42,"quote_author":43,"image":44,"interests":45,"skills":46,"social":55,"updatedAt":57,"isPublished":33,"html":58},"Vanchha","Chandrayan","M.Sc.","vanchha.chandrayan@thi.de","PhD Student","Somewhere, something incredible is waiting to be known","Carl Sagan","/content/people/vanchha-chandrayan/profile.jpg",[],[47,48,49,50,51,52,53,54],"Human-machine interaction","Advance Driver Assistance Systems","User Research","Human factors","UX Design","Explainable AI","Bio-signal Processing","Neuro-cognitive Psychology",{"linkedin":56},"https://www.linkedin.com/in/vanchha-chandrayan/","2025-10-31","\u003Cp>Vanchha Chandrayan is a PhD student in Human-Centered Intelligent Systems at Technische Hochschule Ingolstadt (THI). Her research focuses on cognitive-aware, multimodal driver assistance, fusing physiological and visual sensing with LLM-driven interventions to support safer, more human-centric in-cabin experiences.\u003C/p>\n\u003Cp>She holds a Master’s degree in Cognitive Systems from Ulm University, Germany, where she worked at the intersection of human factors, neuroergonomics, human-machine interaction, and psychology of automation. Her projects spanned driver-vehicle interaction, human-in-the-loop interventions for driver drowsiness and workload, and explainable interface concepts.\u003C/p>\n\u003Cp>Vanchha has earned a Bachelor’s degree in Psychology from Christ University, India, and gained applied experience through various roles spanning aviation psychology, EEG/neuropsychology research, and education and training. Her work bridges psychology, neuroscience, and AI to design intelligent systems that are robust as well as user centered.\u003C/p>",[]],"uses":{"params":["slug"]}}]}