{"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":[{"meta":1,"summary":7,"sections":11},{"slug":2,"title":3,"description":4,"updatedAt":5,"isPublished":6},"ethics-overview","Research Ethics Overview","Summary of the ethical principles and frameworks followed in HCIS research projects.","2025-11-15",true,{"id":8,"title":9,"content":10},"summary","Summary","\u003Cp>This document provides an overview of how research ethics are integrated into the work of the HCIS lab. It outlines guiding principles, typical review processes, and the way participant rights and safety are protected.\u003C/p>\n",[12,17,22,27,32],{"id":13,"title":14,"number":15,"content":16},"ethical-principles","Ethical Principles",1,"\n\u003Cp>HCIS research is guided by widely recognized ethical principles, including:\u003C/p>\n\u003Cul>\n\u003Cli>\u003Cstrong>Respect for persons\u003C/strong> – informed and voluntary participation\u003C/li>\n\u003Cli>\u003Cstrong>Beneficence and non-maleficence\u003C/strong> – maximizing benefits, minimizing risks\u003C/li>\n\u003Cli>\u003Cstrong>Justice\u003C/strong> – fair selection and treatment of participants\u003C/li>\n\u003Cli>\u003Cstrong>Transparency\u003C/strong> – clear communication of goals, methods, and data handling\u003C/li>\n\u003C/ul>\n\u003Cp>These principles apply both to traditional user studies and to data-driven, AI-based research.\u003C/p>\n",{"id":18,"title":19,"number":20,"content":21},"ethics-review-and-approvals","Ethics Review and Approvals",2,"\n\u003Cp>Where required, projects involving human participants or sensitive data undergo an ethics review process. This may include:\u003C/p>\n\u003Cul>\n\u003Cli>Submitting study protocols and consent materials\u003C/li>\n\u003Cli>Assessing risks and mitigation strategies\u003C/li>\n\u003Cli>Reviewing data collection, storage, and anonymization plans\u003C/li>\n\u003C/ul>\n\u003Cp>The specific process follows the rules and structures set by Technische Hochschule Ingolstadt and any relevant funding bodies.\u003C/p>\n",{"id":23,"title":24,"number":25,"content":26},"participant-information-and-consent","Participant Information and Consent",3,"\n\u003Cp>Participants are informed in accessible language about:\u003C/p>\n\u003Cul>\n\u003Cli>Study purpose and procedures\u003C/li>\n\u003Cli>What data will be collected and how long it will be stored\u003C/li>\n\u003Cli>Potential risks and discomforts\u003C/li>\n\u003Cli>Their right to withdraw at any time without disadvantage\u003C/li>\n\u003C/ul>\n\u003Cp>Participation is voluntary, and consent is typically documented via written or electronic forms.\u003C/p>\n",{"id":28,"title":29,"number":30,"content":31},"data-protection-and-privacy","Data Protection and Privacy",4,"\n\u003Cp>Ethical research is closely linked to data protection. Typical measures include:\u003C/p>\n\u003Cul>\n\u003Cli>Collecting only the data necessary to answer the research question\u003C/li>\n\u003Cli>Pseudonymizing or anonymizing data wherever feasible\u003C/li>\n\u003Cli>Restricting access to authorized team members\u003C/li>\n\u003Cli>Using secure storage systems approved by THI\u003C/li>\n\u003C/ul>\n\u003Cp>When working with particularly sensitive data (e.g., physiological signals, emotion labels), additional safeguards are implemented.\u003C/p>\n",{"id":33,"title":34,"number":35,"content":36},"continuous-improvement","Continuous Improvement",5,"\n\u003Cp>Research ethics are not a one-time checklist, but an ongoing process. HCIS regularly revisits ethical questions in light of:\u003C/p>\n\u003Cul>\n\u003Cli>New technologies (e.g., multimodal sensing, generative AI)\u003C/li>\n\u003Cli>Emerging societal concerns\u003C/li>\n\u003Cli>Updated legal requirements\u003C/li>\n\u003C/ul>\n\u003Cp>This includes internal discussions, training, and cooperation with external partners and ethics boards.\u003C/p>"],"uses":{"params":["slug"]}}]}