| A cognitive modeling approach to strategy formation in dynamic decision making S Prezenski, A Brechmann, S Wolff, N Russwinkel Frontiers in psychology 8, 1335, 2017 | 115 | 2017 |
| The role of frustration in human–robot interaction–what is needed for a successful collaboration? A Weidemann, N Rußwinkel Frontiers in psychology 12, 640186, 2021 | 67 | 2021 |
| A neuroadaptive cognitive model for dealing with uncertainty in tracing pilots' cognitive state OW Klaproth, M Halbrügge, LR Krol, C Vernaleken, TO Zander, ... Topics in cognitive science 12 (3), 1012-1029, 2020 | 41 | 2020 |
| Response times and gaze behavior of truck drivers in time critical conditional automated driving take-overs A Lotz, N Russwinkel, E Wohlfarth Transportation research part F: traffic psychology and behaviour 64, 532-551, 2019 | 41 | 2019 |
| A guideline for integrating dynamic areas of interests in existing set-up for capturing eye movement: Looking at moving aircraft M Friedrich, N Rußwinkel, C Möhlenbrink Behavior research methods 49, 822-834, 2017 | 38 | 2017 |
| What determines sustained visual attention? The impact of distracter positions, task difficulty and visual fields compared A Kraft, N Pape, H Hagendorf, S Schmidt, A Naito, SA Brandt Brain Research 1133, 123-135, 2007 | 37 | 2007 |
| The impact of situational complexity and familiarity on takeover quality in uncritical highly automated driving scenarios MSL Scharfe, K Zeeb, N Russwinkel Information 11 (2), 115, 2020 | 29 | 2020 |
| Tracing pilots’ situation assessment by neuroadaptive cognitive modeling OW Klaproth, C Vernaleken, LR Krol, M Halbruegge, TO Zander, ... Frontiers in neuroscience 14, 795, 2020 | 27 | 2020 |
| A computational model of retrospective time estimation J Dzaack, S Trösterer, N Pape, L Urbas Cognitive Systems Research 8 (3), 208-215, 2007 | 18 | 2007 |
| Towards autonomous artificial agents with an active self: modeling sense of control in situated action S Kahl, S Wiese, N Russwinkel, S Kopp Cognitive Systems Research 72, 50-62, 2022 | 15 | 2022 |
| Towards a cognitive model of the takeover in highly automated driving for the improvement of human machine interaction M Scharfe, N Russwinkel TC Stewart (Chair), Proceedings of the 17th International Conference on …, 2019 | 15 | 2019 |
| Predicting temporal errors in complex task environments: A computational and experimental approach N Russwinkel, L Urbas, M Thüring Cognitive Systems Research 12 (3-4), 336-354, 2011 | 15 | 2011 |
| Take-over expectation and criticality in Level 3 automated driving: a test track study on take-over behavior in semi-trucks A Lotz, N Russwinkel, E Wohlfarth Cognition, Technology & Work 22, 733-744, 2020 | 12 | 2020 |
| A Cognitive Model for Understanding the Takeover in HighlyAutomated Driving Depending on the Objective Complexity ofNon-Driving Related Tasks and the Traffic Environment. M Scharfe, N Russwinkel Proceedings of the Annual Meeting of the Cognitive Science Society 41, 2019 | 12 | 2019 |
| Modeling individual strategies in dynamic decision-making with ACT-R: a task toward decision-making assistance in HCI Z Zhang, N Russwinkel, S Prezenski Procedia computer science 145, 668-674, 2018 | 12 | 2018 |
| A model of time-estimation considering working memory demands N Pape, L Urbas Proceedings of the 30th Annual Cognitive Science Society, 1543-1548, 2008 | 12 | 2008 |
| A cognitive model to anticipate variations of situation awareness and attention for the takeover in highly automated driving MSL Scharfe-Scherf, S Wiese, N Russwinkel Information 13 (9), 418, 2022 | 11 | 2022 |
| Seev-vm: Act-r visual module based on seev theory S Wiese, A Lotz, N Russwinkel Proceedings of the 17th International Conference on Cognitive Modeling (ICCM …, 2019 | 11 | 2019 |
| ACT-R model for cognitive assistance in handling flight deck alerts O Klaproth, M Halbrügge, N Russwinkel Proceedings of the 17th International Conference on Cognitive Modeling …, 2019 | 11 | 2019 |
| Towards neuroadaptive modeling: assessing the cognitive states of pilots through passive brain-computer interfacing LR Krol, OW Klaproth, C Vernaleken, N Russwinkel, TO Zander Current research in Neuroadaptive technology, 59-73, 2022 | 10 | 2022 |
Sabine PrezenskiTechnische Universität BerlinEmail confirmado em tu-berlin.de
