Publications

Here you can find a selection of my most important publications. A complete list of all of them with additional more than 100 citable refereed conference abstracts and more than 200 presentations at scientific conferences and invited talks you can find in my academic CV. For any questions or reprints, please send me an e-mail or visit my ResearchGate profile.

 

Refereed Journal Articles

24. Kettwich, C., Schrank, A., Avsar, H., & Oehl, M. (2022). A Helping Human Hand: Relevant Scenarios for the Remote Operation of Highly Automated Vehicles in Public Transport. Applied Sciences, 12(9), 4350. DOI: 10.3390/app12094350
23. Lau, M., Jipp, M., & Oehl, M. (2022). One Solution Fits All? Evaluating Different Communication Strategies of a Light-based External Human-Machine Interface for Differently Sized Automated Vehicles from a Pedestrian’s Perspective. Accident Analysis & Prevention, 171. DOI: 10.1016/j.aap.2022.106641
22. Brandenburg, S., & Oehl, M. (2021). Driving anger in Germany: Validation of the driving anger scale for German drivers. Transportation Research Part F: Traffic Psychology and Behaviour, 81, 317-328. DOI: 10.1016/j.trf.2021.06.006
21. Drewitz, U., Wilbrink, M., Oehl, M., Jipp, M., & Ihme, K. (2021). Subjektive Sicherheit zur Steigerung der Akzeptanz des automatisierten und vernetzten Fahrens. Forschung im Ingenieurwesen. DOI: 10.1007/s10010-021-00500-y
20. Hainich, R., Drewitz, U., Ihme, K., Lauermann, J., Niedling, M., & Oehl, M. (2021). Evaluation of a Human–Machine Interface for Motion Sickness Mitigation Utilizing Anticipatory Ambient Light Cues in a Realistic Automated Driving Setting. Information, 12(4), 176. DOI: 10.3390/info12040176
19. Kettwich, C., Schrank, A., & Oehl, M. (2021). Teleoperation of Highly Automated Vehicles in Public Transport: User-Centered Design of a Human-Machine Interface for Remote-Operation and its Expert Usability Evaluation. Multimodal Technologies and Interaction, 5(5), 26. DOI: 10.3390/mti5050026
18. Kurtz, M., Oehl, M., & Sutter, C. (2021). “Just One Short Voice Message” – Comparing the Effects of Text- vs. Voice-Based Answering to Text Messages via Smartphone on Young Drivers’ Driving Performances. Safety, 7(3), 57. DOI: 10.3390/safety7030057
17. Oehl, M., Becker, T., Che, M., & Brandenburg, S. (2021). Validation of the Cycling Anger Scale in Singapore. Traffic Injury Prevention, 22(1), 32-36. DOI: 10.1080/15389588.2020.1843161
16. Wilbrink, M., Lau, M., Illgner, J., Schieben, A., & Oehl, M. (2021). Impact of External Human-Machine Interface Communication Strategies of Automated Vehicles on Pedestrians’ Crossing Decisions and Behaviors in an Urban Environment. Sustainability, 13(15), 8396. DOI: 10.3390/su13158396
15. Bosch, E., Ihme, K., Drewitz, U., Jipp, M., & Oehl, M. (2020). Why Drivers are Frustrated: Results from a Diary Study and Focus Groups. European Transport Research Review, 12. DOI: 10.1186/s12544-020-00441-7
14. Brandenburg, S., Oehl, M., & Hartwig, C. (2019). Driving Anger Expression in Germany – Validation of the Driving Anger Expression Inventory for German Drivers. Traffic Injury Prevention, 20(1), 52-57. DOI: 1080/15389588.2018.1493467
13. Oehl, M., Brandenburg, S., & Huemer, A. K. (2019). Cyclists‘ Anger Experiences in Road Traffic: The Cycling Anger Scale. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 564-574.
12. Oehl, M., Brandenburg, S., & Huemer, A. K. (2019). German Bike Messengers’ Experiences and Expressions of Cycling Anger. Traffic Injury Prevention. DOI: 10.1080/15389588.2019.1616179
11. Huemer, A. K., Oehl, M., & Brandenburg, S. (2018). Influences on anger in German urban cyclists. Transportation Research Part F: Traffic Psychology and Behaviour, 58, 969-979.
10. Brandenburg, S., Oehl, M., & Seigies, K. (2017). German Taxi Drivers‘ Experiences and Expressions of Driving Anger: Are the Driving Anger Scale and the Driving Anger Expression Inventory Valid Measures?. Traffic Injury Prevention, 18(8), 807-812. DOI: 10.1080/15389588.2017.1316493
9. Siebert, F. W., Oehl, M., Bersch, F., & Pfister, H.-R. (2017). The exact determination of subjective risk and comfort thresholds in car following. Transportation Research Part F: Traffic Psychology and Behaviour, 46, 1-13. [Awarded with the early career best paper award 2016 of the Human Factors and Ergonomics Society (HFES) Europe Chapter]
8. Oehl, M., & Sutter, C. (2015). Age-related differences in processing visual device and task characteristics when using technical devices. Applied Ergonomics, 48, 214-223.
7. Siebert, F. W., Oehl, M., & Pfister, H.-R. (2014). The Influence of Subjective Driver States in Adaptive Cruise Control. Transportation Research Part F: Traffic Psychology and Behaviour, 25, 65-73.
6. Liu, R.-Z., Zhou, R.-L., & Oehl, M. (2013). Driving Angry Behavior of Drivers in Mainland China and Germany. Chinese Journal of Ergonomics, 1, 10-15.
5. Roidl, E., Siebert, F. W., Oehl, M., & Höger, R. (2013). Introducing a Multivariate Model for Predicting Driving Performance: The Role of Driving Anger and Personal Characteristics. Journal of Safety Research, 47, 47-56.
4. Roidl, E., Frehse, B., Oehl, M., & Höger, R. (2013). The Emotional Spectrum in Traffic Situations: Results of Two Online-Studies. Transportation Research Part F: Traffic Psychology and Behaviour, 18, 168-188.
3. Sutter, C., Ladwig, S., Oehl, M., & Müsseler, J. (2012). Age effects on controlling tools with sensorimotor transformations. Frontiers in Psychology, 3, Article 573, 1-8. DOI: 10.3389/fpsyg.2012.0057
2. Sutter, C., Oehl, M., & Armbrüster, C. (2011). Practice and carryover effects when using small interaction devices. Applied Ergonomics, 42, 437-444.
1. Pfister, H.-R., & Oehl, M. (2009). The Impact of Goal Focus, Task Type, and Group Size on Synchronous Net- Based Collaborative Learning Discourses. Journal of Computer Assisted Learning, 25, 161-176.

Refereed Conference Proceedings Papers

60. Nadri, C., Alvarez, I., Bosch, E., Oehl, M., Braun, M., Healey, J., Jallais, C., Ju, W., Li, J., & Jeon, M. (2022). Empathic vehicle design: Use cases and design directions from two workshops. In CHI Conference on Human Factors in Computing Systems Extended Abstracts (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 456, 1–7. DOI: 10.1145/3491101.3519623
59. Avsar, H., Utesch, F., Wilbrink, M., Oehl, M., & Schießl, C. (2021). Efficient communication of automated vehicles and manually driven vehicles through an external human-machine interface (eHMI): Evaluation at t-junctions. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2021 – Posters. HCII 2021. Communications in Computer and Information Science (CCIS), vol 1421 (pp. 224-232). Cham, Switzerland: Springer Nature. DOI: 10.1007/2F978-3-030-78645-8_28
58. Hub F., & Oehl M. (2021). How to Find My Ride? Results of an HCI Expert Workshop for AR-Aided Navigation. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2021 – Late Breaking Posters. 23rd HCI International Conference, HCII 2021 Proceedings Part I. Communications in Computer and Information Science (CCIS), vol 1498 (pp. 535-542). Cham, Switzerland: Springer Nature. DOI: 10.1007/978-3-030-90176-9_69
57. Kettwich, C., Schrank, A., Avsar, H., & Oehl, M. (2021). What if the Automation Fails? – A Classification of Scenarios in Teleoperated Driving. In Proceedings of the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’21). Association for Computing Machinery, New York, NY, USA, 92–96. DOI: 10.1145/3473682.3480271
56. Krüger, S., Bosch, E., Ihme, K., & Oehl, M. (2021). In-Vehicle Frustration Mitigation via Voice-User Interfaces – a Simulator Study. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2021 – Posters. HCII 2021. Communications in Computer and Information Science (CCIS), vol 1421 (pp. 241-248). Cham, Switzerland: Springer Nature. DOI: 10.1007/2F978-3-030-78645-8_30
55. Lau, M., Jipp, M., & Oehl, M. (2021) Investigating the Interplay between eHMI and dHMI for Automated Buses: How Do Contradictory Signals Influence a Pedestrian’s Willingness to Cross? In Proceedings of the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’21). Association for Computing Machinery, New York, NY, USA, 152–155. DOI: 10.1145/3473682.3480284 [Received an honorable mention]
54. Lau, M., Le, D. H., & Oehl, M. (2021). Design of External Human-Machine Interfaces for Different Automated Vehicle Types for the Interaction with Pedestrians on a Shared Space. In N. L. Black, W. P. Neumann, & I. Noy (Eds): Proceedings of the 21st Congress of the International Ergonomics Association (IEA 2021). IEA 2021. Lecture Notes in Networks and Systems, vol 221 (pp. 710-717). Cham, Switzerland: Springer Nature. DOI: 10.1007/978-3-030-74608-7_87
53. Oehl, M., Lienhop, M., & Ihme, K. (2021). Mitigating Frustration in the Car: Which Emotion Regulation Strategies Might Work for Different Age Groups?. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2021 – Posters. HCII 2021. Communications in Computer and Information Science (CCIS), vol 1421 (pp. 273-280). Cham, Switzerland: Springer Nature. DOI: 10.1007/2F978-3-030-78645-8_34 [Received the best poster / short paper award at HCII 2021]
52. Wilbrink, M., Nuttelmann, M. & Oehl, M. (2021). Scaling up Automated Vehicles’ eHMI Communication Designs to Interactions with Multiple Pedestrians – Putting eHMIs to the Test. In Proceedings of the 13th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’21). Association for Computing Machinery, New York, NY, USA, 119–122. DOI: 10.1145/3473682.3480277
51. Hub, F., Wilbrink, M., Kettwich, C., & Oehl, M. (2020). Designing Ride Access Points for Shared Automated Vehicles – An Early Stage Prototype Evaluation. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294 (pp. 560-567). Cham, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-030-60703-6_72
50. Lau, M., Wilbrink, M., Dodiya, J., & Oehl, M. (2020). Users’ Internal HMI Information Requirements for Highly Automated Driving. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294 (pp. 585-592). Cham, Switzerland: Springer Nature. DOI: 10.1007/978-3-030-60703-6_75
49. Le, D. H., Temme, G., & Oehl, M. (2020): Automotive eHMI Development in Virtual Reality: Lessons Learned from Current Studies. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294 (pp. 593-600). Springer, Cham. https://doi.org/10.1007/978-3-030-60703-6_76
48. Nadri, C., Li, J., Bosch, E., Oehl, M., Alvarez, I., Braun, M., & Jeon, M. (2020). Emotion GaRage Vol. II: A Workshop on Affective In-Vehicle Display Design. In 12th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI’20 Adjunct) (pp. 106-108). ACM, New York, NY, USA. DOI: 10.1145/3409251.3411736
47. Oehl M., Ihme K., Pape A.-A., Vukelić M., & Braun M. (2020). Affective Use Cases for Empathic Vehicles in Highly Automated Driving: Results of an Expert Workshop. In H. Krömker (Ed): HCI in Mobility, Transport, and Automotive Systems (MobiTas 2020). Automated Driving and In-Vehicle Experience Design. HCII 2020. Lecture Notes in Computer Science, Vol. 12212 (pp. 89-100). Cham, Switzerland: Springer Nature. DOI: 10.1007/978-3-030-50523-3_7
46. Pape, A.-A., Cornelsen, S., Faeßler, V., Ihme, K., Oehl, M., Drewitz, U., Hartwich, F., Schroedel, F., Lüdtke, A., & Schramm, M. (2020) Empathic Assistants – Methods and use cases in automated and non-automated driving. In M. Bargende, H. C. Reuss, & A. Wagner (Eds): 20. Internationales Stuttgarter Symposium, Proceedings (pp. 435-449). Wiesbaden, Germany: Springer Vieweg / Springer Nature. DOI: 10.1007/978-3-658-29943-9_34
45. Schindler, J., Herbig, D. L., Lau, M., & Oehl, M. (2020). Communicating Issues in Automated Driving to Surrounding Traffic – How should an Automated Vehicle Communicate a Minimum Risk Maneuver via eHMI and/or dHMI?. In Stephanidis, C., Antona, M., & Ntoa, S. (Eds): HCI International 2020 – Late Breaking Posters. HCII 2020. Communications in Computer and Information Science, vol 1294 (pp. 619-626). Cham, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-030-60703-6_79
44. Wilbrink, M., Schieben, A., & Oehl, M. (2020). Reflecting the automated vehicle’s perception and intention: Light-based interaction approaches for on-board HMI in highly automated vehicles. Proceedings of the 25th International Conference on Intelligent User Interfaces Companion (IUI’20) (pp. 105-107). DOI: 10.1145/3379336.3381502
43. Drewitz, U., Ihme, K., Oehl, M., Schrödel, F., Voßwinkel, R., Hartwich, F., Schmidt, C., Pape, A.-A., Fleischer, T., Cornelsen, S., Lüdtke, A., Gräfing, D., & Trende, A. (2019). Automation ohne Unsicherheit: Vorstellung des Förderprojekts AutoAkzept zur Erhöhung der Akzeptanz automatisierten Fahrens. In VDI (Ed.). Mensch-Maschine-Mobilität 2019. Der (Mit-)Fahrer im 21. Jahrhundert!? VDI-Berichte 2360 (pp. 1-19). Düsseldorf: VDI-Verlag. ISBN: 978-3-18-092360-4
42. Oehl, M., Ihme, K., Bosch, E., Pape, A.-A., Vukelić, M., & Braun, M. (2019). Emotions in the Age of Automated Driving – Developing Use Cases for Empathic Cars. In Mensch und Computer 2019 – Workshopband. Bonn: Gesellschaft für Informatik e.V.. doi: 10.18420/muc2019-ws-267
41. Oehl, M., Ihme, K., Drewitz, U., Pape, A.-A., Cornelsen, S., & Schramm, M. (2019). Towards a frustration-aware assistant for increased in-vehicle UX: F-RELACS. In Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct Proceedings (AutomotiveUI ’19). ACM, New York, NY, USA, 260–264. doi: 10.1145/3349263.3351518
40. Oehl, M., Kamps, M., & Sutter, C. (2019). More Mechanical- Versus More Humanoid-Looking Assistance Robots: How Do Users Rate their Capabilities? – A Study of Younger Versus Older Users. In MuC’19 Proceedings of Mensch und Computer 2019 (pp. 805-809). doi: 10.1145/3340764.3344912
39. Schieben, A., Wilbrink, M., Kettwich, C., Dodiya, J., Oehl, M., Weber, F., Sorokin, L., Lee, Y. M., Madigan, R., Markula, G., Merat, N., Dietrich, A., Bengler, K., & Kaup., M. (2019): Testing external HMI designs for automated vehicles – An overview on user study results from the EU project interACT.
38. Bosch, E., Oehl, M., Jeon, M., Alvarez, I., Healey, J., Ju, W., & Jallais, C. (2018). Emotional GaRage: A Workshop on In-Car Emotion Recognition and Regulation. In Adjunct Proceedings of the 10th International ACM Conference on Automotive User Interfaces 2018 – AutomotiveUI’18 Adjunct (pp. 44-49). New York, NY: ACM. doi: 10.1145/3239092.3239098
37. Oehl, M., Kamps, M., Wesa, M., & Sutter, C. (2018). Was ältere Nutzer Assistenzrobotern zutrauen – Eine Frage des Designs?. In R. Dachselt & G. Weber (Hrsg.), Mensch und Computer 2018 – Tagungsband. Bonn: Gesellschaft für Informatik e.V.. DOI: 10.18420/muc2018-mci-0429
36. Ratter, M., & Oehl, M. (2018). Guiding User’s Attention in Chats: Evidence from Eye Movement Analysis. In Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 1103-1108). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Paper retrieved from https://www.learntechlib.org/primary/p/184317/.
35. Ratter, M., & Oehl, M. (2018). Do We Learn More with Explicit References? A Closer Look at the Learning Protocol Approach to Chat-based CSCL. In Proceedings of EdMedia: World Conference on Educational Media and Technology (pp. 1098-1102). Amsterdam, Netherlands: Association for the Advancement of Computing in Education (AACE). Paper retrieved from https://www.learntechlib.org/primary/p/184316/.
34. Tschöpe, N., Reiser, J. E., & Oehl, M. (2017). Exploring the Uncanny Valley Effect in Social Robotics. Proceedings of the Companion of the 2017 ACM / IEEE International Conference on Human-Robot Interaction – HRI ’17 (pp. 307-308). New York, NY: ACM. DOI: 10.1145/3029798.3038319
33. Oehl, M., Stein, J., & Sutter, C. (2016). Integrierte Eingabegeräte: Sind Links- oder Rechtshänder besser?. In S. Franken, U. Schroeder & T. Kuhlen (Hrsg.), Mensch und Computer 2016 – Kurzbeiträge. http://dx.doi.org/10.18420/muc2016-mci-0266 [Received the best short paper award].
32. Oehl, M., Stein, J., & Sutter, C. (2015). Linkshändigkeit als Privileg oder Nachteil bei Notebookeingabegeräten?. In S. Diefenbach, N. Henze & M. Pielot (Hrsg.), Mensch und Computer 2015 Tagungsband (S. 339-342). Stuttgart: Oldenbourg Wissenschaftsverlag.
31. Oehl, M. (2014). The Learning Protocol Approach to Chat-Based CSCL – Towards Enhanced Learning Discourses and Cognitive Processing. In Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2014 (pp. 2178-2183). Chesapeake, VA: Association for the Advancement of Computing in Education (AACE).
30. Oehl, M., & Höger, R. (2014). Affective States and Driving Behavior of Novice and Young Drivers. In N. Stanton, S. Landry, G. Di Bucchianico, & A. Vallicelli (Eds.), Advances in Human Aspects of Transportation Part III – Proceedings of the 5th International Conference on Applied Human Factors and Ergonomics AHFE 2014 (pp. 268-276). AHFE 2014 Conference and Authors.
29. Tews, T.-K., Oehl, M., Faasch, H., & Kanno, T. (2014). Current and New Perspectives on Dynamic Facial Emotion Detection in Emotional Interfaces. In M. Kurosu (Ed.), Human-Computer Interaction, Part II, HCII 2014, LNCS 8511 (pp. 779-787). Cham, Switzerland: Springer.
28. Oehl, M., Dahlmanns, L., & Sutter, C. (2013). Small Input Devices Used by the Elderly – How Sensorimotor Transformation and Task Complexity Affect Interaction. In C. Stephanidis, & M. Antona (Eds.), UAHCI/HCII 2013, Part II, LNCS 8010 (pp. 181-190). Heidelberg, Germany: Springer.
27. Siebert, F. W., Oehl, M., Höger, R., & Pfister, H.-R. (2013). Discomfort in Automated Driving – The Disco-Scale. In C. Stephanidis (Ed.), Posters, Part II, HCII 2013, CCIS 374 (pp. 337-341). Heidelberg, Germany: Springer.
26. Tews, T.-K., Oehl, M., Faasch, H., & Kanno, T. (2013). A Survey of Dynamic Facial Emotion Detection in Emotional Car Interfaces. In Proceedings of the Second International Symposium on Future Active Safety Technology toward zero-traffic-accident – FAST-zero ’13, JSAE Paper 20134654, No.TS2-5-4. Tokyo, Japan: JSAE – Society of Automotive Engineers of Japan.
25. Heber, I. A., Oehl, M., & Sutter, C. (2011). Performance and Comfort when Using Motion-Controlled Tools in Complex Tasks. In C. Stephanidis (Ed.), Posters, Part II, HCII 2011, CCIS 174 (pp. 335-339). Heidelberg, Germany: Springer.
24. Oehl, M., Däubel, A., & Pfister, H.-R. (2011). Learning and Re-learning in Chat-based CSCL: The Impact of Individual Learning Strategies. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2011 (pp. 3620-3625). Chesapeake, VA: AACE.
23. Oehl, M., & Pfister, H.-R. (2011). Modeling Efficient Grounding in Chat-based CSCL: An Approach for Adaptive Scripting?. In H. Spada, G. Stahl, N. Miyake, & N. Law (Eds.), Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL2011 Conference Proceedings. Volume II – Short Papers & Posters (pp. 968-969). International Society of the Learning Sciences (ISLS).
22. Oehl, M., Siebert, F. W., Tews, T.-K., Höger, R., & Pfister, H.-R. (2011). Improving Human-Machine Interaction – A Non-Invasive Approach to Detect Emotions in Car Drivers. In J. A. Jacko (Ed.), Human-Computer Interaction, Part III, HCII 2011, LNCS 6763 (pp. 577-585). Heidelberg, Germany: Springer.
21. Tews, T.-K., Oehl, M., Siebert, F. W., Faasch, H., & Höger, R. (2011). Cues from Facial Expressions for Emotional Interfaces. In D. de Waard, N. Gérard, L. Onnasch, R. Wiczorek, & D. Manzey (Eds.), Human Centred Automation (pp. 111-122). Maastricht, the Netherlands: Shaker Publishing.
20. Tews, T.-K., Oehl, M., Siebert, F. W., Höger, R., Faasch, H. (2011). Dynamic Emotion Detection and its Application to Emotional Interfaces in Cars. In M. J. Smith, & G. Salvendy (Eds.), Human Interface and the Management of Information, Part I, HCII 2011, LNCS 6771 (pp. 641-650). Heidelberg, Germany: Springer.
19. Berwe, T., Oehl, M., & Pfister, H.-R. (2010). Modeling Effective and Ineffective Knowledge Communication and Learning Discourses in CSCL with Hidden Markov Models. In V. G. Duffy (Ed.), Advances in Applied Digital Modeling (pp. 549-558). Boca Raton, FL: CRC Press – Taylor & Francis.
18. Oehl, M., Berwe, T., Wahl, M., & Pfister, H.-R. (2010). Modeling Grounding Processes in Chat-based CSCL. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2010 (pp. 3774-3779). Chesapeake, VA: AACE.
17. Oehl, M., & Siebert, F. W. (2010). Designing Small Touch-Screen Devices: The Impact of Display Size on Pointing Performance. In H. Khalid, A. Hedge, & T. Z. Ahram (Eds.), Advances in Ergonomics Modeling and Usability Evaluation (pp. 202-211). Boca Raton, FL: CRC Press – Taylor & Francis.
16. Oehl, M., Wahl, M., Berwe, T., & Pfister, H.-R. (2010). Discourse Analyses in Chat-based CSCL with Learning Protocols: Effects of Different Scripting Strategies. In Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications 2010 (pp. 1555-1560). Chesapeake, VA: AACE.
15. Siebert, F. W., Oehl, M., & Pfister, H.-R. (2010). The Measurement of Grip-Strength in Automobiles: A New Approach to Detect Driver’s Emotions. In W. Karwowski, & G. Salvendy (Eds.), Advances in Human Factors, Ergonomics, and Safety in Manufacturing and Service Industries (pp. 775-783). Boca Raton, FL: CRC Press – Taylor & Francis.
14. Sutter, C., & Oehl, M. (2010). Of Age Effects and the Role of Psychomotor Abilities and Practice when Using Interaction Devices. In T. Marek, W. Karwowski, & V. Rice (Eds.), Advances in Understanding Human Performance (pp. 757-766). Boca Raton, FL: CRC Press – Taylor & Francis.
13. Frehse, B., Roidl, E., Oehl, M., Suhr, J., Pfister, H.-R., & Höger, R. (2009). Emotionale Interfaces in der Fahrzeugsteuerung – Ein psychonischer Ansatz. In S. Welke, H. Kolrep, & M. Rötting (Hrsg.), Biophysiologische Interfaces in der Mensch-Maschine-Interaktion. Fortschritt-Berichte VDI, Reihe 22, Nr.30 (S. 132-146). Düsseldorf, Deutschland: VDI-Verlag.
12. Oehl, M. (2009). Implications for Touch-Based Devices: The Impact of Display Size on Pointing Performance. In Proceedings of the 17th Triennial Congress of the International Ergonomics Association – IEA 2009 [CD-Rom].
11. Oehl, M., & Pfister, H.-R. (2009). Efficient Replay Formats in Chat-Based CSCL for Re-Learning. In Proceedings of the 17th Triennial Congress of the International Ergonomics Association – IEA 2009 [CD-Rom].
10. Oehl, M., & Pfister, H.-R. (2009). Explicit References in Chat-Based CSCL: Do They Faciliate Global Text Processing? Evidence from Eye Movement Analysis. In A. Dimitracopoulou, C. O’Malley, D. Suthers, & P. Reimann (Eds.), Computer Supported Collaborative Learning Practices: CSCL2009 Conference Proceedings (Vol. II, pp. 138-140). International Society of the Learning Sciences (ISLS).
9. Oehl, M., & Pfister, H.-R. (2008). Re-Learning in CSCL with Learning Protocols: Which Replay Formats are Beneficial?. In G. Richards (Ed.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008 (pp. 3046-3051). Chesapeake, VA: AACE.
8. Oehl, M., & Pfister, H.-R. (2008). Knowledge Acquisition and Problem Solving in CSCL with Learning Protocols: Effects of Different Scripting Strategies. In G. Richards (Ed.), Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2008 (pp. 3040-3045). Chesapeake, VA: AACE.
7. Oehl, M., Pfister, H.-R., & Gilge, A. (2008). Global Text Processing in CSCL with Learning Protocols: A Coding Scheme for Eye Movement Analyses. In P. A. Kirschner, F. Prins, V. Jonker, & G. Kanselaar (Eds.), International Perspectives in the Learning Sciences: Cre8ing a learning world. Proceedings of the Eighth International Conference for the Learning Sciences – ICLS 2008 (Vol. 3, pp. 103-104). International Society of the Learning Sciences, Inc. (ISLS).
6. Sutter, C., Armbrüster, C., Oehl, M., & Müsseler, J. (2008). Office work place with laptop computers: User specific requirements for input devices and software design. In W. Karwowski & G. Salvendy (Eds.), Proceedings of the 2nd International Conference on Applied Human Factors and Ergonomics – AHFE 2008 [CD-Rom, 5 pages]. Louisville, KY: USA Publishing.
5. Oehl, M., & Pfister, H.-R. (2007). Explicit Referencing and Shared Materials as Factors for Successful Chat-Based CSCL with Learning Protocols. In C. Montgomerie & J. Seale (Eds.), Proceedings of ED-MEDIA 2007 World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1897-1901). Chesapeake, VA (USA): Association for the Advancement of Computing in Education (AACE).
4. Oehl, M., & Pfister, H.-R. (2007). The Use of Learning Protocols for Re-Learning in CSCL. In C. Montgomerie & J. Seale (Eds.), Proceedings of ED-MEDIA 2007 World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1902-1907). Chesapeake, VA (USA): Association for the Advancement of Computing in Education (AACE).
3. Oehl, M., Sutter, C., & Ziefle, M. (2007). Considerations on Efficient Touch Interfaces – How Display Size Influences the Performance in an Applied Pointing Task. In M. J. Smith, & G. Salvendy (Eds.), Human Interface, Part I, HCII 2007, LNCS 4557 (pp. 136-143). Berlin, Germany: Springer.
2. Oehl, M., & Pfister, H.-R. (2006). A Process Analysis of Grounding Activities in Net-Based Cooperative Learning. In T. C. Reeves & S. F. Yamashita (Eds.), Proceedings of E-Learn 2006 World Conference on E-Learning in Corporate, Government, Healthcare, & Higher Education (pp. 2258-2263). Norfolk, VA (USA): Association for the Advancement of Computing in Education (AACE).
1. Oehl, M., & Pfister, H.-R. (2005). Using Learning Protocols for Knowledge Acquisition and Problem Solving with Individual and Group Incentives. In P. Kommers & G. Richards (Eds.), Proceedings of ED-MEDIA 2005 World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 2098-2103). Norfolk, VA (USA): Association for the Advancement of Computing in Education (AACE). [Received an Outstanding Paper Award].

Chapters / Books

4. Sutter, C., Ladwig, S., Oehl, M., & Müsseler, J. (2013). Age Effects on Controlling Tools with Sensorimotor Transformations. In R. Pfister, M. Janczyk, & W. Kunde (Eds.), Action Effects in Perception and Action: The Ideomotor Approach (pp. 107-114). Lausanne, Switzerland: Frontiers Media SA.
3. Oehl, M., & Pfister, H.-R. (2010). E-Collaborative Knowledge Construction in Chat Environments. In B. Ertl (Ed.), E-Collaborative Knowledge Construction: Learning from Computer-Supported and Virtual Environments (pp. 54-72). Hershey, NY: IGI Global.
2. Oehl, M., & Kuper, J. (2007). Neue Medien in der Personalentwicklung von KMU. In S. Schöning, J. Richter, H. Wetzel, & D. Nissen (Hrsg.), Kleine und mittlere Unternehmen: Unternehmensnachfolge und Innovationspotenzial (S. 87-105). Frankfurt am Main, Deutschland: Peter Lang Verlagsgruppe.
1. Oehl, M. (2004). Vergleichende Untersuchung psychomotorischer und kognitiver Aspekte ergonomischer Gestaltung von PDA- / Handheld-Computern bei jüngeren und älteren Nutzern. Unveröffentlichte Diplomarbeit, RWTH Aachen.

Miscellaneous

8. Drewitz, U., Ihme, K., Oehl, M., Hartwich, F., Hollander, C., Voßwinkel, R., Cornelsen, S., Thurlings-Tor, M., Niermann, D., Brück, Y., & Trende, A. (2021). Abschlussbericht des Projekts „AutoAkzept“ – Automation ohne Unsicherheit zur Erhöhung der Akzeptanz automatisierten und vernetzten Fahrens (gefördert vom BMVI). Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR).
7. Ihme, K., Bosch, E., & Oehl, M. (2021). Abschlussbericht des Projekts „F-RELACS“ – Echtzeit-Frustrationserkennung für ein adaptives System im Auto (gefördert vom BMBF). Deutsches Zentrum für Luft- und Raumfahrt e.V. (DLR).
6. Hesse, T., Oehl, M., Drewitz, U., & Jipp, M. (2021). Ganzheitliche, kontextsensitive Mensch-Maschine-Interaktion für automatisierte Fahrzeuge. ATZ – Automobiltechnische Zeitschrift, 123(3), 48–51. DOI: 10.1007/s35148-020-0626-6
5. Hesse, T., Oehl, M., Drewitz, U., & Jipp, M. (2021). Holistic, Context-sensitive Human-machine Interaction for Automated Vehicles. ATZ Worldwide, 123(3). DOI: 10.1007/s38311-020-0603-4
4. Weber, F., Sorokin, S., Schmidt, E., Schieben, A., Wilbrink, M., Kettwich, C., Dodiya, J., Oehl, M., Kaup, M., Willrodt, J.-H., Lee, Y. M., Madigan, R., Markkula, G., Romano, R., Merat, N. (2019). EU-Project (H2020) ‘interACT’ D4.2 deliverable human-vehicle interaction strategies for the interACT AVs. Retrieved from https://www.interact-roadautomation.eu/wp-content/uploads/interACT_WP4_D4.2_Final_Human_Vehicle_ Interaction_ Strategies_v1.1_uploadWebsiteApproved.pdf
3. Oehl, M., & Pfister, H.-R. (2007). Abschlussbericht des DFG-Forschungsprojektes „Prozessanalysen von Lernprotokollen: Kommunikative und kognitive Sequenzstrukturen bei netzbasierten kooperativen Lerndiskursen“ innerhalb des DFG-Schwerpunktprogramms „Netzbasierte Wissenskommunikation in Gruppen“ SPP 1081. Institut für Experimentelle Wirtschaftspsychologie der Leuphana Universität Lüneburg.
2. Hauser, S., & Oehl, M. (2006). Bericht vom Doktorandenworkshop 2005 der Fachgruppe Medienpsychologie (der Deutschen Gesellschaft für Psychologie). Zeitschrift für Medienpsychologie, 18 (1), 39-40.
1. Pfister, H.-R., & Oehl, M. (2005). Kooperatives Lernen im Internet mit Lernprotokollen. Universität Lüneburg – Forschung & Transfer aktuell, 1, 4.

 

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