{"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":34,"assistants":55},{"slug":2,"title":3,"description":4,"key_topics":5,"type":9,"level":10,"ects":11,"language":12,"instructors":13,"assistants":16,"period":18,"weekday":19,"time":20,"room":21,"duration_weeks":22,"capacity":23,"materials":24,"updatedAt":31,"isPublished":32,"html":33},"ux-research-methods","UX Research Methods","End‑to‑end qualitative and quantitative UX research for complex systems.",[6,7,8],"Design","Prototyping","Evaluation","workshop","Bachelor",5,"EN",[14,15],"amir-haddad","karthik-sai-pasupuleti",[17],"lena-wolf","WS25","Friday","14:00–16:00","E0.18",14,40,[25,28],{"label":26,"url":27},"Syllabus (PDF)","/teaching/ux-research-methods/syllabus.pdf",{"label":29,"url":30},"Lecture Website","https://example.com/ux-research-methods/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>",[35],{"slug":15,"firstname":36,"lastname":37,"title":38,"email":39,"role":40,"quote":41,"quote_author":42,"image":43,"interests":44,"skills":45,"social":51,"updatedAt":53,"isPublished":32,"html":54},"Karthik Sai","Pasupuleti","M.Sc.","karthiksai.pasupuleti@thi.de","Ph.D. Student","You are better off trying something and having it not work and learning from that than not doing anything at all","Mark Zuckerberg","/content/people/karthik-sai-pasupuleti/profile.png",[],[46,47,48,49,50],"Advanced Driving Assistant Systems (ADAS)","Computer vision","Generative AI","Artificial intelligence and Machine learning","Data analysis and model development",{"linkedin":52},"https://www.linkedin.com/in/karthik-sai-pasupuleti/","2025-10-31","\u003Cp>Karthik Sai Pasupuleti is a Ph.D. student in the Human-Centered Intelligent Systems (HCIS) at Technische Hochschule Ingolstadt. His research focuses on in-cabin monitoring and neuromorphic AI. He completed a bachelor’s degree in mechanical engineering at Hindustan Institute of Technology and Science, India, and a master’s degree in international automotive engineering at Technische Hochschule Ingolstadt, Germany. During his studies, he worked at CARISSMA Automotive Safety Research as a student assistant, where he developed AI algorithms for Advanced Driver Assistance Systems (ADAS). He later joined VAIVA GmbH as a working student, where he contributed to developing in-cabin monitoring systems for adaptive airbag deployment and LLM-based agents for automotive test case generation. His master’s thesis, carried out in collaboration with VAIVA GmbH and CARIAD, focused on crash severity prediction.\u003C/p>",[]],"uses":{"params":["slug"]}}]}