{"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":[{"pub":1,"authors":35,"projects":115},{"slug":2,"title":3,"type":4,"authors":5,"venue":11,"publisher":12,"year":13,"month":14,"location":15,"doi":16,"pdf":17,"author_slugs":18,"project_slugs":24,"tags":26,"updatedAt":29,"isPublished":30,"html":31,"abstractHtml":32,"apa":33,"bibtexPath":34},"gamified-tor-automotiveui24","Gamified Take‑Over Requests Do Not Harm Response Time","inproceedings",[6,7,8,9,10],"Ignacio Álvarez","Tuğcan Önbaş","Karthik Sai Pasupuleti","Lena Wolf","Julia Podlipensky","AutomotiveUI","ACM",2024,9,"Stanford, USA","10.1145/3744335.3758490","/publications/gamified-tor-automotiveui24-2024.pdf",[19,20,21,22,23],"ignacio-alvarez","julia-podlipensky","karthik-sai-pasupuleti","tugcan-onbas","lena-wolf",[25],"driver-gamification-study",[27,28],"HCI","Systems","2025-11-11",true,"\u003Ch2 id=\"abstract\">\u003Ca href=\"#abstract\">Abstract\u003C/a>\u003C/h2>\n\u003Cp>This paper reports methods, results, and design implications for intelligent, human‑centered systems.\u003C/p>","\u003Cp>This paper reports methods, results, and design implications for intelligent, human‑centered systems.\u003C/p>","Huber, V. B., Ertl, F. L., Schlaak, A., Simson, H., & Alvarez, I. (2025). Can an AI Voice Assistant reduce Stress for Drivers confronted with warning Signals? In Adjunct Proceedings of the 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (pp. 106–113). AutomotiveUI Adjunct ’25: 17th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. ACM. https://doi.org/10.1145/3744335.3758490\n","C:\\Users\\alvarez\\Documents\\code\\HCIS.AI\\HCIS-website\\.cache\\doi\\gamified-tor-automotiveui24\\citation.bib",[36,61,75,94],{"slug":19,"firstname":37,"lastname":38,"title":39,"email":40,"role":41,"quote":42,"image":43,"cv_podcast":44,"interests":45,"skills":46,"social":57,"updatedAt":59,"isPublished":30,"html":60},"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",[],[47,48,49,50,51,52,53,54,55,56],"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":58},"https://ignacioalvmar.com/","2025-11-02","\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>",{"slug":20,"firstname":62,"lastname":63,"email":64,"role":65,"quote":66,"image":67,"interests":68,"skills":69,"updatedAt":59,"isPublished":30,"html":74},"Julia","Podlipensky","julia.podlipensky@thi.de","UXD / HCI","Ideas make sense once they’re tried, not when they’re perfect.","/content/people/julia-podlipensky/profile.jpeg",[],[70,51,71,72,73],"Interaction & User Experience Design","System Prototyping & Development (VR, App, Web)","Applied Research & Evaluation","Systems & Service Thinking","\u003Cp>I am pursuing the Master’s degree in User Experience Design at Technische Hochschule Ingolstadt, building on my Bachelor’s background in Interaction Design. My work focuses on the research and development of human-centered interaction systems, with particular interest in intelligent systems and public design.\u003C/p>\n\u003Cp>I have worked on projects ranging from mobility and energy applications to VR interaction, digital identity and accessibility design. Currently, I am focusing on how AI-supported systems can understand nuanced user context and adapt their behavior in a clear and reliable way.\u003C/p>",{"slug":21,"firstname":76,"lastname":77,"title":78,"email":79,"role":80,"quote":81,"quote_author":82,"image":83,"interests":84,"skills":85,"social":90,"updatedAt":92,"isPublished":30,"html":93},"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",[],[86,87,49,88,89],"Advanced Driving Assistant Systems (ADAS)","Computer vision","Artificial intelligence and Machine learning","Data analysis and model development",{"linkedin":91},"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>",{"slug":22,"firstname":95,"lastname":96,"email":97,"role":98,"quote":99,"image":100,"interests":101,"skills":102,"social":110,"updatedAt":92,"isPublished":30,"html":114},"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",[],[51,103,104,105,106,107,108,109],"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":111,"github":112,"linkedin":113},"https://tugcanonbas.com","https://github.com/tugcanonbas","https://www.linkedin.com/in/tugcanonbas","\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>",[116],{"slug":25,"title":117,"overview":118,"status":119,"leads":120,"assistants":123,"start_date":126,"end_date":127,"tags":128,"links":131,"publications":134,"updatedAt":29,"isPublished":30,"html":135},"Driver Gamification Study","Gamified take‑over requests in Level‑3 scenarios using CARLA.","completed",[121,122],"monika-szuban","maria-kreutz",[124,125],"laura-radetzky","anna-schmidt","2025-01-15","2025-10-30",[27,129,130],"AI","Simulation",{"website":132,"github":133},"https://example.com/driver-gamification-study","https://github.com/hcis/driver-gamification-study",[],"\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>"],"uses":{"params":["slug"]}}]}