Journal & Full paper conferences

Trende, A., Unni, A., Jablonski, M., Biebl, B., Lüdtke, A., Fränzle, M., & Rieger, J. W. (2022) Driver’s turning intent recognition model based on brain activation and contextual information. Frontiers in Neuroergonomics, 23, doi.org/10.3389/fnrgo.2022.956863

Unni A., Trende A., Pauley C, Weber L., Biebl B., Kacianka S., Lüdtke A., Bengler K., Pretschner A., Fränzle M. and Rieger J.W. (2022). Investigating Differences in Behavior and Brain in Human-Human and Human-Autonomous Vehicle Interactions in Time-Critical Situations. Front. Neuroergon. 3:836518. doi.org/10.3389/fnrgo.2022.836518

Biebl, B., .Kacianka S., Unni A., Trende A., Rieger J.W., Lüdtke A., Pretschner A., Bengler K.. 2021. “A Causal Model of Intersection-Related Collisions for Drivers With and Without Visual Field Loss.” In HCI International 2021 - Late Breaking Papers: HCI Applications in Health, Transport, and Industry, edited by Constantine Stephanidis, Vincent G. Duffy, Heidi Krömker, Fiona Fui-Hoon Nah, Keng Siau, Gavriel Salvendy, and June Wei, 13097:219–34. Cham: Springer International Publishing. doi.org/10.1007/978-3-030-90966-6_16.

Trende A., Unni A., Rieger J., Fraenzle M. (2021) Modelling Turning Intention in Unsignalized Intersections with Bayesian Networks. In: Stephanidis C., Antona M., Ntoa S. (eds) HCI International 2021, pp. 289-296. Communications in Computer and Information Science, vol 1421. Springer, Cham. https://doi.org/10.1007/978-3-030-78645-8_36

Trende, A., Unni, A., Weber, L., Rieger, J. W., & Luedtke, A. (2019, June). An investigation into human-autonomous vs. human-human vehicle interaction in time-critical situations. In Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments (pp. 303-304). Download FREE https://doi.org/10.1145/3316782.3321544

Damm, W., Fränzle, M., Lüdtke, A., Rieger, J. W., Trende, A., & Unni, A. (2019, June). Integrating neurophysiological sensors and driver models for safe and performant automated vehicle control in mixed traffic. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 82-89). IEEE. Download article (FREE)

Scheunemann J, Unni A, Ihme K, Jipp M, Rieger JW (2019). Demonstrating brain-level interactions between visuospatial attentional demands and working memory load while driving using functional near-infrared spectroscopy. Front. Hum. Neurosci. 12:542. (* shared first author)  Download article (FREE)

Volkening N, Unni A, Rieger JW, Fudickar S, Hein A (2018). Development of a Mobile Functional Near-Infrared Spectroscopy Prototype. Internet of Vehicles. Technologies and Services Towards Smart City. IOV 2018. pp. 146-161, Lecture Notes in Computer Science, vol 11253. Springer. Download article (FREE)

Volkening N, Unni A, Becker S, Rieger JW, Fudickar S, Hein A (2018). Development of a mobile fNIRS prototype and its initial evaluation: Lessons learned. Proceedings of the 11^th PETRA conference, pp. 214-221, 26-29th June, Corfu, Greece. Download article (FREE)

Ihme K, Unni A*, Zhang M, Rieger JW, Jipp M (2018). Recognizing Frustration of Drivers from Face Video Recordings and Brain Activation Measurements with Functional Near-Infrared Spectroscopy. Front. Hum. Neurosci. 12:327. (* shared first author) Download article (FREE)

Löcken A, Ihme K, Unni A (2017). Towards designing affect-aware systems for mitigating the effects of in-vehicle frustration. Proceedings of the 9th International ACM Conference on Automotive User Interfaces and Interactive Vehicular Applications (Automotive UI' 17), pp 88-93, Oldenburg, Germany. ISBN: 978-1-4503-5151-5 Download article (FREE)

Unni A, Ihme K, Jipp M, Rieger JW (2017). Assessing the Driver’s Current Level of Working Memory Load with High Density Functional Near-Infrared Spectroscopy: A Realistic Driving Simulator Study. Front. Hum. Neurosci. 11:167. doi: 10.3389/fnhum.2017.00167 Download article (FREE)

Wortelen B, Unni A, Rieger JW, Lüdtke A. Towards the Integration and evaluation of online workload measures in a cognitive architecture. 7th IEEE Conference on Cognitive Infocommunications 2016, pp. 11-16, Wroclaw, Poland. ISBN: 978-1-5090-2645-6 Abstract

Volkening N, Unni A*, Löffler BS, Fudickar S, Rieger JW, Hein A (2016). Characterizing the influence of muscle activity in fNIRS brain activation measurements. 8th IFAC International Symposium on Advances in Automotive Control 2016, pp.84-88, Kolmärden, Sweden (*shared first author) Abstract

Unni A, Ihme K, Surm H, Weber L, Lüdtke A, Nicklas D, Jipp M, Rieger JW (2015). Brain Activity Measured with fNIRS for the Prediction of Cognitive Workload. 6th IEEE Conference on Cognitive Infocommunications, pp. 349-354, Györ, Hungary Abstract

Conference Abstracts

Unni A., Trende A., Biebl B., Kacianka S., Lüdtke A., Bengler K., Pretschner A., Rieger J.W.. Decision making in human-autonomous vehicle interaction. Presented at the 3rd Neuroergonomics Conference on The Brain at Work and in everyday life, 11-16th September 2021. neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/129.pdf

Trende A., Unni A., Fränzle M., Rieger J.W.. Combining contextual and neurophysiological information for predicting driver’s turning intent. Presented at the 3rd Neuroergonomics Conference on The Brain at Work and in everyday life, 11-16th September 2021. neuroergonomicsconference.um.ifi.lmu.de/wp-content/uploads/submissions/183.pdf 

Trende A, Unni A, Weber L, Rieger JW, Lüdtke A (2019). An investigation into human-autonomous vs. human-human vehicle interaction in time-critical situations. PETRA, 303-304. Abstract

Unni A, Kretzmeyer B, Ihme K, Köster F, Jipp M, Rieger JW (2018). Demonstrating brain-level interactions between working memory load and frustration while driving using fNIRS. 2^nd Neuroergonomics Conference on The Brain at Work and in everyday life, 27-29^th June 2018, Philadelphia, USA. Abstract

Rieger JW, Scheunemann J, Ihme K, Köster F,  Jipp M, Unni A (2018). Demonstrating brain-level interactions between working memory load and driving demand level using fNIRS. 2^nd Neuroergonomics Conference on The Brain at Work and in everyday life, 27-29^th June 2018, Philadelphia, USA. Abstract

Scheunemann J, Unni A, Rieger JW (2017). Demonstrating brain interactions between working memory load and lateral control demands while driving using fNIRS. NVP symposium "Psychophysiology on the road towards enhanced traffic safety", 3-4 August 2017, Leiden, Netherlands Abstract

Unni A, Ihme K, Jipp M, Rieger JW (2016). Estimating cognitive workload levels while driving using fNIRS. 1st Neuroergonomics Conference on The Brain at Work and in everyday life, Paris (ISBN: 9780128119266). Abstract

Ihme K, Unni A*, Rieger JW, Jipp M (2016). Assessing driver frustration using fNIRS. 1st Neuroergonomics Conference on The Brain at Work and in everyday life, Paris (ISBN: 9780128119266) (*shared first author). Abstract

Löcken A, Unni A, Müller H, Rieger JW, Heuten W, Boll S (2013). The car that cares: Introducing an in-vehicle ambient light display to reduce cognitive load. Automotive User Interfaces and Interactive Vehicular Applications, Eindhoven, Oct 27-30, 2013. Abstract

Book Chapters

Wortelen B, Unni A, Rieger JW, Lüdtke A, Osterloh JP (2018). Monte Carlo Methods for Real-Time Driver Workload Estimation using a Cognitive Architecture. Chapter 2, pp. 25-48; Cognitive Infocommunications, Theory and Applications, Springer 2018. Download (restricted access)

• Post-doctoral researcher at the Department of Psychology, University of Oldenburg
  • Since March 2019
• PhD-Student at the Department of Psychology, University of Oldenburg
  • August 2013 - February 2019
• Master of Science in Microsystems Engineering, University of Freiburg
  • October 2010 - June 2013
• Bachelor in Biomedical Engineering, University of Mumbai
  • August 2006 - May 2010