{"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":[{"project":1,"leads":24,"assistants":42,"publications":66},{"slug":2,"title":3,"overview":4,"status":5,"leads":6,"assistants":9,"start_date":12,"tags":13,"links":17,"publications":20,"updatedAt":21,"isPublished":22,"html":23},"wearable-sensing-pipeline","Wearable Sensing Pipeline","Signal ingestion and fusion from watch/strap devices with privacy‑by‑design.","planning",[7,8],"monika-szuban","lena-wolf",[10,11],"amir-haddad","vanchha-chandrayan","2025-01-15",[14,15,16],"HCI","AI","Simulation",{"website":18,"github":19},"https://example.com/wearable-sensing-pipeline","https://github.com/hcis/wearable-sensing-pipeline",[],"2025-11-11",true,"\u003Ch2 id=\"objectives\">\u003Ca href=\"#objectives\">Objectives\u003C/a>\u003C/h2>\n\u003Cul>\n\u003Cli>Robust experimentation\u003C/li>\n\u003Cli>Real‑time insights\u003C/li>\n\u003C/ul>\n\u003Ch2 id=\"approach\">\u003Ca href=\"#approach\">Approach\u003C/a>\u003C/h2>\n\u003Cp>Explain methodology, tools, or system setup.\u003Cbr>\nYou can embed code snippets, images, or diagrams here.\u003C/p>\n\u003Ch2 id=\"results\">\u003Ca href=\"#results\">Results\u003C/a>\u003C/h2>\n\u003Cp>Milestones, outcomes, or demo links.\u003C/p>\n\u003Ch2 id=\"next-steps\">\u003Ca href=\"#next-steps\">Next Steps\u003C/a>\u003C/h2>\n\u003Cp>Roadmap, collaborations, and open‑source plans.\u003C/p>",[25],{"slug":7,"firstname":26,"lastname":27,"email":28,"role":29,"quote":30,"quote_author":31,"image":32,"interests":33,"skills":34,"updatedAt":40,"isPublished":22,"html":41},"Monika","Szuban","monika.szuban@thi.de","UXD / Human Factors","The best way to predict the future is to invent it.","Alan Kay","/content/people/monika-szuban/profile.jpg",[],[35,36,37,38,39],"Human-Centered Design","User Experience Research & Data Analysis","Usability Testing & Study Design","Multimodal Interaction","Interactive Systems Prototyping","2025-11-02","\u003Cp>Monika is a UX and interaction designer with roots in Industrial Design and a current focus on human-machine interaction. She holds a bachelor’s in industrial design from Kraków, Poland, and is pursuing a master’s in User Experience Design at THI, where she also works as a student assistant.\u003C/p>\n\u003Cp>Her portfolio spans mobile, web, and immersive prototypes, combining design reasoning with practical prototyping (Figma, Unity, and basic scripting) to move from insight to implementation. She is comfortable operating across research and build, structuring studies, refining flows, and translating findings into clear, testable systems. Recent work includes Grannify, a dual-platform concept on intergenerational knowledge-sharing, which she presented at the CHI 2025 Student Design Competition in Yokohama, Japan.\r\nHer academic focus is human-machine interaction in intelligent, context-aware systems.\u003C/p>",[43],{"slug":11,"firstname":44,"lastname":45,"title":46,"email":47,"role":48,"quote":49,"quote_author":50,"image":51,"interests":52,"skills":53,"social":62,"updatedAt":64,"isPublished":22,"html":65},"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",[],[54,55,56,57,58,59,60,61],"Human-machine interaction","Advance Driver Assistance Systems","User Research","Human factors","UX Design","Explainable AI","Bio-signal Processing","Neuro-cognitive Psychology",{"linkedin":63},"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"]}}]}