| Voice-based conversational agents for the prevention and management of chronic and mental health conditions: systematic literature review C Bérubé, T Schachner, R Keller, E Fleisch, F v Wangenheim, F Barata, ... Journal of medical Internet research 23 (3), e25933, 2021 | 89* | 2021 |
| Towards wearable-based hypoglycemia detection and warning in diabetes M Maritsch, S Föll, V Lehmann, C Bérubé, M Kraus, S Feuerriegel, ... Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing …, 2020 | 31 | 2020 |
| Improving heart rate variability measurements from consumer smartwatches with machine learning M Maritsch, C Bérubé, M Kraus, V Lehmann, T Züger, S Feuerriegel, ... Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 22 | 2019 |
| Detecting relevance during decision-making from eye movements for ui adaptation AM Feit, L Vordemann, S Park, C Berube, O Hilliges ACM symposium on eye tracking research and applications, 1-11, 2020 | 20 | 2020 |
| Elena+ care for COVID-19, a pandemic lifestyle care intervention: intervention design and study protocol J Ollier, S Neff, C Dworschak, A Sejdiji, P Santhanam, R Keller, G Xiao, ... Frontiers in Public Health 9, 625640, 2021 | 19 | 2021 |
| Reliability of commercial voice assistants’ responses to health-related questions in noncommunicable disease management: factorial experiment assessing response rate and source … C Bérubé, ZF Kovacs, E Fleisch, T Kowatsch Journal of Medical Internet Research 23 (12), e32161, 2021 | 8 | 2021 |
| Machine learning for non‐invasive sensing of hypoglycaemia while driving in people with diabetes V Lehmann, T Zueger, M Maritsch, M Kraus, C Albrecht, C Bérubé, ... Diabetes, Obesity and Metabolism 25 (6), 1668-1676, 2023 | 7 | 2023 |
| CHI EA'20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems M Maritsch, V Lehmann, M Kraus New York, NY, USA: Association for Computing Machinery, 1-8, 2020 | 6 | 2020 |
| Voice-based conversational agents for the prevention and management of chronic and mental conditions: A systematic literature review C Bérubé, T Schachner, R Keller, E Fleisch, FV Wangenheim, F Barata, ... JMIR Preprints 30/11/2020 25933, 2020 | 5 | 2020 |
| Proactive behavior in voice assistants: A systematic review and conceptual model C Bérubé, M Nißen, R Vinay, A Geiger, T Budig, A Bhandari, CRP Benito, ... Computers in Human Behavior Reports, 100411, 2024 | 2 | 2024 |
| Effectiveness and user perception of an in-vehicle voice warning for hypoglycemia: development and feasibility trial C Bérubé, VF Lehmann, M Maritsch, M Kraus, S Feuerriegel, F Wortmann, ... JMIR Human Factors 11 (1), e42823, 2024 | 2 | 2024 |
| Voice-based conversational agents for sensing and support: examples from academia and industry C Bérubé, E Fleisch Digital Therapeutics for Mental Health and Addiction, 113-134, 2023 | 2 | 2023 |
| Smartwatches for non‐invasive hypoglycaemia detection during cognitive and psychomotor stress M Maritsch, S Föll, V Lehmann, N Styger, C Bérubé, M Kraus, ... Diabetes, Obesity and Metabolism 26 (3), 1133-1136, 2024 | 1 | 2024 |
| Machine Learning to Infer a Health State Using Biomedical Signals—Detection of Hypoglycemia in People with Diabetes while Driving Real Cars V Lehmann, T Zueger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... NEJM AI 1 (3), AIoa2300013, 2024 | 1 | 2024 |
| 234-OR: noninvasive hypoglycemia detection during real car driving using in-vehicle data V Lehmann, T Züger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... Diabetes 71 (Supplement_1), 2022 | 1 | 2022 |
| A Machine Learning–Based Approach to Noninvasively Detect Hypoglycemia from Gaze Behavior While Driving V Lehmann, M Maritsch, T Züger, A Marxer, C Bérubé, M Kraus, ... Diabetes 70 (S1), 5-LB, 2021 | 1 | 2021 |
| Multimodal in-vehicle hypoglycemia warning for drivers with type 1 diabetes: design and evaluation in simulated and real-world driving C Bérubé, M Maritsch, VF Lehmann, M Kraus, S Feuerriegel, T Züger, ... JMIR human factors 11 (1), e46967, 2024 | | 2024 |
| Voice Assistants in Digital Health: Towards an In-Vehicle Hypoglycemia Warning for Drivers with Type-1 Diabetes C Bérubé ETH Zurich, 2023 | | 2023 |
| Review wetenschappelijk congres American Diabetes Association V Lehmann, T Zueger, M Maritsch, M Notter, S Schallmoser, C Bérubé, ... | | 2022 |
| Headwind: Design and evaluaton of a vehicle hypoglycaemia warning system in diabetes-Results from a driving simulator study V Lehmann, T Züger, M Kraus, M Maritsch, S Feuerriegel, F Wortmann, ... 14th International Conference on Advanced Technologies & Treatments for …, 2021 | | 2021 |
Prof. Dr. Tobias KowatschUniversity of Zurich, University of St.Gallen & ETH Zurich在 uzh.ch 的电子邮件经过验证
