@article{7159,
  abstract     = {Background: Smart home technology powered by AI can detect anomalies and make emergency calls, enabling residents to live safely and independently. However, the adoption of such technologies for medical emergency detection remains limited.

Objective: This study aimed to explore consumer preferences for AI-based smart home technology for medical emergency detection and identify predictors such as sociodemographic variables, AI literacy, and technology affinity.

Method: A sample of 300 participants (172/300, 57.33% female; 128/300, 42.67% male, aged 18‐69 years) completed a choice-based conjoint analysis (CBCA). Participants evaluated 15 choice sets describing smart home variants based on cost, location, emergency detection rate, type of sensor, and data processing.

Results: Cost was the most important attribute (relative importance [RI]=41%), followed by emergency detection rate (RI=19%), data processing (RI=14%), and location (RI=14%). The type of sensor was the least important attribute (RI=9%). The preferred configuration combined an annual subscription of €70 (US $82), a 95% detection rate, wearable sensors, personalized AI, and installation in both intimate and shared rooms. Notably, 68.3% (205/300) of participants showed a positive none utility, indicating that even the optimal configuration did not overcome general reluctance to adopt such systems. While most expected correlations between sociodemographic variables and attribute importances were not observed, a significant correlation between self-reported health status and emergency detection rate was found (r=.16, P=.007). Interestingly, 61% (167/270) of participants preferred AI over human involvement in data processing, but logistic regression revealed that a significant correlation between self-reported health status and emergency detection rate was found (OR=0.58, P=.04).

Conclusions: These findings highlight the need to align smart home development with user preferences, emphasizing cost-effectiveness. Additionally, AI literacy plays an important role in technology adoption in the context of AI-based smart home technology. Further research is needed to understand and address the reluctance to adopt AI for medical emergency detection.},
  author       = {Jagemann, Inga and Baudisch, Justin and Jungeblut, Thorsten and Maier, Günter W and Hirschfeld, Gerrit},
  issn         = {2817-1705},
  journal      = {JMIR AI},
  pages        = {e94589--e94589},
  publisher    = {JMIR Publications Inc.},
  title        = {{Consumer Preferences for AI-Based Smart Home Medical Emergency Detection Among German Adults: Choice-Based Conjoint Analysis}},
  doi          = {10.2196/94589},
  volume       = {5},
  year         = {2026},
}

@inproceedings{6987,
  author       = {Wermuth, Stella and Ahmed, Qazi Arbab and Neumann, Klaus and Jungeblut, Thorsten},
  location     = {Lecce, Italien},
  publisher    = {Arxiv},
  title        = {{PMOF: A Dataset and Benchmark for Passenger Monitoring Using Overhead Fisheye Cameras}},
  doi          = {10.48550/arXiv.2606.13910},
  year         = {2026},
}

@inproceedings{6989,
  author       = {Sadeghi-Kohan, Somayeh and Awais, Muhammad and Ahmed, Qazi Arbab and Platzner, Marco and Hellebrand, Sybille and Jungeblut, Thorsten and Wunderlich, Hans-Joachim},
  booktitle    = {2026 IEEE 29th International Symposium on Design and Diagnostics of Electronic Circuits and Systems (DDECS)},
  location     = {Bratislava, Slovakia},
  pages        = {1--5},
  publisher    = {IEEE},
  title        = {{Reliability Assessment in Approximate Accelerator Synthesis}},
  doi          = {10.1109/DDECS69233.2026.11520985},
  year         = {2026},
}

@inproceedings{6355,
  author       = {Attaullah, Hasina and Peters, Christian and Peters, Annika and Jungeblut, Thorsten},
  keywords     = {Depression Detection, Smart Home, Dementia Detection, Smart Home Sensors},
  location     = {Bielefeld},
  pages        = {38--39},
  title        = {{AI Meets Elderly Care: Mining Smart Home Data for Dementia and Depression Detection}},
  doi          = {10.60802/SIDAS.2025.2},
  volume       = {2},
  year         = {2025},
}

@inproceedings{6365,
  author       = {Köse, Mohammad Ibrahim and Ahmed, Qazi Arbab and Jungeblut, Thorsten},
  booktitle    = {The 5th Muslims in Machine Learning (MusIML) Workshop co-located with NeurIPS 2025},
  location     = {San Diego, CA, USA.},
  title        = {{Bridging the Gap Between AI Quantization and Edge Deployment: INT4 and INT8 on the Edge}},
  year         = {2025},
}

@inproceedings{6302,
  author       = {Wermuth, Stella and Jungeblut, Thorsten},
  booktitle    = {KI2025@HSBI Zukunft im Fokus},
  number       = {2},
  pages        = {28--29},
  title        = {{Bridging the Dataset Gap: Domain Adaptation for Fisheye Passenger Detection}},
  doi          = {10.60802/SIDAS.2025.2},
  year         = {2025},
}

@inproceedings{6175,
  author       = {Halbrügge, Marc and Jungeblut, Thorsten},
  booktitle    = {KogWis 2025. 16th Biannual Conference of the German Cognitive Science Society.},
  keywords     = {Explainable AI, XAI, LIME},
  location     = {Bochum},
  title        = {{Beyond Heatmaps: Evaluating LIME Visualizations for Human Understandability}},
  year         = {2025},
}

@inproceedings{6202,
  author       = {Halbrügge, Marc and Jungeblut, Thorsten},
  booktitle    = {KI@HSBI 2025 - Zukunft im Fokus},
  location     = {Bielefeld},
  number       = {2},
  pages        = {13--14},
  title        = {{Statistical Learning of Daily Routines in the Smart Home for Privacy-Preserving Assisted Living}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6203,
  author       = {Kaan, Altun and Eris, Benjamin and Halbrügge, Marc and Jungeblut, Thorsten and Naumann, Rolf and Ottemeyer, Mats and Öztürk, Riza and Pascanovic, Armin},
  location     = {Bielefeld},
  number       = {2},
  pages        = {2--3},
  title        = {{AQ-Shuttle: Eine Studie über autonome Quartiers-Shuttle mit Mobilstation in Bielefeld}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6204,
  author       = {Attaullah, Hasina and Halbrügge, Marc and Naumann, Rolf and Jungeblut, Thorsten},
  issn         = {2943-3509},
  location     = {Bielefeld},
  number       = {2},
  pages        = {4--5},
  title        = {{Digitaler Bahnhof Minden: Künstliche Intelligenz für den Bahnhof der Zukunft}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6205,
  author       = {Kwossek, Jana and Eris, Benjamin and Bollien, Marie and Stegemann, Manuel and Altun, Kaan and Halbrügge, Marc and Jungeblut, Thorsten and Meyer, Sandro and Pascanovic, Armin},
  booktitle    = {HUMANIST Conference 2025},
  title        = {{Autonomous District Shuttles for Last-Mile Delivery: Acceptance, Public Requirements, and Their Role in Urban Development}},
  year         = {2025},
}

@inproceedings{6206,
  author       = {Kwossek, Jana and Eris, Benjamin and Bollien, Marie and Altun, Kaan and Pascanovic, Armin and Halbrügge, Marc and Stegemann, Manuel and Jungeblut, Thorsten},
  booktitle    = {Workshop on Autonomous Delivery and Service Robots on Pedestrian and Cycle Paths},
  title        = {{AQ-Shuttle: Autonomous Robots for Last Mile Delivery}},
  year         = {2025},
}

@article{6240,
  author       = {Jagemann, Inga and Baudisch, Justin and Jungeblut, Thorsten and Maier, Günter W. and Hirschfeld, Gerrit},
  journal      = {PsychArchives},
  publisher    = {PsychArchives},
  title        = {{The More You Know, the Less You Want to Rely on It – Consumer preferences for AI-based health monitoring in smart home systems}},
  doi          = {10.23668/PSYCHARCHIVES.21275},
  year         = {2025},
}

@inproceedings{6073,
  author       = {Jalil, Farjana and Awais, Muhammad and Ahmed, Qazi Arbab and Mohammadi, Hassan Ghasemzadeh and Jungeblut, Thorsten and Platzner, Marco},
  booktitle    = {2025 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W)},
  location     = {Naples, Italy },
  pages        = {115--118},
  publisher    = {IEEE},
  title        = {{Deep&Wide: Achieving Area Efficiency in Scalable Approximate Accelerators}},
  doi          = {10.1109/DSN-W65791.2025.00048},
  year         = {2025},
}

@inproceedings{6077,
  author       = {Leuering, Julien and Jalil, Farjana and Ahmed, Qazi Arbab and Schenck, Wolfram and Jungeblut, Thorsten},
  location     = {Bielefeld},
  publisher    = {Institute for Data Science Solutions},
  title        = {{Cognitive Edge Computing for Multi-Sensor Applications with Sparse Data and High Latency Requirements}},
  year         = {2025},
}

@inproceedings{6080,
  author       = {Jalil, Farjana and Leuering, Julien and Ahmed, Qazi Arbab and Schenck, Wolfram and Jungeblut, Thorsten},
  location     = {Bielefeld},
  publisher    = { Institute for Data Science Solutions},
  title        = {{NNXC: Neural Network Meets Approximate Computing}},
  year         = {2025},
}

@inproceedings{6081,
  author       = {Jalil, Farjana and Leuering, Julien and Ahmed, Qazi Arbab and Schenck, Wolfram and Jungeblut, Thorsten},
  booktitle    = {Workshop on AI and its Applications},
  location     = {Bielefeld},
  publisher    = {Institute for Data Science Solutions},
  title        = {{AutoDSE: Towards HW/AI Co-design of Ultra-low Latency Hardware Accelerators for Industrial Applications}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@inproceedings{6082,
  author       = {Wermuth, Stella and Ahmed, Qazi Arbab and Jungeblut, Thorsten},
  booktitle    = {Workshop on AI and its Applications},
  location     = {Bielefeld},
  publisher    = {Institute for Data Science Solutions},
  title        = {{From Fisheye to Fusion: Towards Efficient AI-based Indoor Perception for Public Transportation}},
  year         = {2025},
}

@inproceedings{6083,
  author       = {Köse, Mohammad Ibrahim and Ahmed, Qazi Arbab and Jungeblut, Thorsten},
  location     = {Bielefeld},
  publisher    = {Institute for Data Science Solutions},
  title        = {{Edge4OD: An Automated Framework for Efficient Execution of Object Detection Algorithms on Edge Devices}},
  doi          = {10.60802/sidas.2025.2},
  year         = {2025},
}

@article{6139,
  author       = {Attaullah, Hasina and Sanaullah, Sanaullah and Peters, Annika and Ahmed, Qazi Arbab and Baudisch, Justin and Jungeblut, Thorsten},
  issn         = {1662-453X},
  journal      = {Frontiers in Neuroscience},
  publisher    = {Frontiers Media SA},
  title        = {{DNA: detecting early signs of neurodegenerative diseases through activity and sleep analysis}},
  doi          = {10.3389/fnins.2025.1617758},
  volume       = {19},
  year         = {2025},
}