Augmenting Human Cognition with Collaborative Robots AMELIA (AugMEnted Learning InnovAtion usign Mixed Reality and AI)
NSF Cyber-Human Systems:$1.2M Grant
The Story of AMELIA (AMELIA: AugMEnted Learning InnovAtion)
Collaborative robotics is a growing application space in robot technology used in manufacturing, mining, construction, and energy industrial settings. This convergence research project will contribute new knowledge and theory of Human-Computer Interaction and Human-Robot Interaction, by augmenting human cognition for safer and more efficient collaborative robot interaction.
To meet these goals, the team of researchers plans to:
(1) develop a novel HRI task/scenario classification scheme in collaborative robotics environments vulnerable to observable systems failures;
(2) establish fundamental neurophysiological, cognitive, and socio-behavioral capability models (e.g., workload, cognitive load, fatigue/stress, affect, and trust) during these HRI (i.e., the mind motor machine nexus);
(3) use these models to determine when and how a human’s cognitive, social, behavioral and environmental states require adjustment via technology to enhance HRI for efficient and safe work performance; and finally
(4) create an innovative and transformative Work 4.0 architecture (AMELIA: AugMEnted Learning InnovAtion) that includes a layer of augmented reality for human and robots to mutually learn and communicate current states.
The team proposes a novel communication scheme using artificial emotional intelligence in which robots and humans collaborate in potentially dangerous situations. The robot will detect the worker’s “cognitive state” using different machine learning techniques, and then take the appropriate action. Ultimately AMELIA seeks to empower the worker to focus on complex, cognitive problem-solving tasks, performed safely and efficiently, while ensuring that it adapts to both the worker's attitudes and cognitive states.
Database Development, Code, & Non-Identifying Data
Collaborative Robotics and Immersive Technology
Children's Science Museum of Bozeman Outreach Demo
Mixed Reality Demo
PhD student, Ashish Teotia, demonstrates the Mixed Reality Hololens 2.
Science is Fun with VR and MR
PhD student, Ashish Teotia, talks about the role math and science play in VR world creations.
Peer Reviewed Publications
1. Kalatzis, A., Rahman, S., Stanley, L., & Wittie, M. P. Identifying Optimal Robot Speed Adaptations with Respect to Cognitive Workload Limitations Using Q-learning. ACM Transactions on Human-Robot Interaction (under review).
2. Kalatzis, A., Wittie, W., & Stanley, L. A Multimodal Approach to Investigate the Role of Cognitive Workload in Human-Robot Interaction. Proceedings of the 2023 ICMI Conference on Multimodal Interaction, 2023 (in press).
3. Nath, N., Kalatzis, A., & Stanley, L. (2023). Measuring User Engagement of Virtual, Augmented, and Mixed Reality Interventions for Stress Reduction. HCI International - Late Breaking Papers: 25th International Conference on Human-Computer Interaction, HCII 2023. Cham: Springer (in press).
4. Kalatzis A. & Stanley, L. An Augmented Reality User Interface for Pick and Place Guidance in Human-Robot Interaction. 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) IEEE, 2023 (in press).
5. Nath N., Kalatzis A., & Stanley L. Measuring User Engagement of Virtual, Augmented, and Mixed Reality Interventions for Stress Reduction, HCI International 2023, Copenhagen, Denmark, July 2023 (in press).
6. Kalatzis A., Prabhu V., Stanley L., Wittie, M. Effect of Augmented Reality User Interface on Task Performance, Cognitive Load, and Situational Awareness in Human-Robot Collaboration, IEEE Conference on Robot and Human Interactive Communication (RO-MAN), 2023 (in press)
7. Kalatzis, A., Hopko, S., Mehta, R., Wittie, M. & Stanley, L. Sex Parity in Cognitive Fatigue Model Development for Effective Human-Robot Interaction. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), (pgs. 10951-10958), 2022.
8. Kalatzis, A., Rahman, S., Wittie, M. & Stanley, L. A Real-time Machine Learning and Edge Computing Framework for Real-Time Cognitive Workload Detection and Co-Robot Adaptation. ACM Transactions on Human-Robot Interaction (THRI), 2022 (under revision).
9. Kalatzis, A., Prabhu, V., Rahman, S., Wittie, M., & Stanley, L. Emotions Matter: Towards Personalizing Human-System Interactions Using a Two-layer Multimodal Approach. ACM Proceedings of the International Conference on Multimodal Interaction, (pgs. 63-72), 2022.
10. Rahman S., Kalatzis, A., Wittie, M., Millman, D. & L. Stanley, Checkpointing Time Prediction using Online Learning for C-RAN MEC-Serverless Computing IEEE International Conference on Omni-Layer Intelligent Systems, Annual Proceedings, (pgs. 1-6), 2022.
11. Coziahr K., Rabideaux K., Lundberg, C., Stanley L., Perez-Litwin A., & Litwin A., Designing a Digital Mental Health App for Opioid Use Disorder Using UX Design Thinking, 11th International Conference, DUXU 2022, 24th HCI International Conference, HCII 2022, June 26–July 1, 2022, Proceedings, Part II
12. Rahman, S., Wittie, M., Elmokashfi A., Stanley L., Patterson, S., & Millman, D. Short and Sweet Checkpoints for C-RAN MEC, IEEE CLOUD Summit, October, (pgs. 69-76), 2021
13. Kalatzis, A., Teotia, A., Prabhu, V. G., & Stanley, L. A Database for Cognitive Workload Classification Using Electrocardiogram and Respiration Signal. Advances in Neuroergonomics and Cognitive Engineering, Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA (pp.509-516)
14. Prabhu, V. G., Stanley, L., Morgan, R., & Shirley, B. Comparing the Efficacy of a Video and Virtual Reality Intervention to Mitigate Surgical Pain and Anxiety. Proceedings of the International Conference on Human Interaction & Emerging Technologies, (pp. 1041-1048), 2021.
15. Kalatzis A., Teotia A., Stanley L., & Prabhu V. Affective State Classification in Virtual Reality Environments Using Physiological Signals. IEEE International Conference on Artificial Intelligence and Virtual Reality. (Abstract & Poster), November 2021
16. Prabhu, V. G., Stanley, L., Newcomb, R., Morgan, R., & Shirley, B. Evaluating the Efficacy of Video and Virtual Reality in Mitigating Pain and Anxiety among Total Knee Arthroplasty Patients. In Proceedings of Annual American Association of Hip and Knee Surgeons (AAHKS), 2021. (Abstract & Poster)
17. Wetherbee, M., & Stanley, L. Creating Contextual Awareness for Human-Robot Interaction, National Council on Undergraduate Research, (Abstract & Presentation), 2021.
18. Stanley, L. & Coziahr, K., 2021 National Science Foundation: " Smart Health in the AI and COVID Era Virtual Workshop”, SCH: INT: Collaborative Research: An intelligent Pervasive Augmented reaLity therapy (iPAL) for Opioid Use Disorder and Recovery, (Poster), 2021.
19. Kalatzis, A., Stanley, L., Karthikeyan, R., & Mehta, R. K. Mental Stress Classification During a Motor Task in Older Adults Using an Artificial Neural Network. In Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers (pp. 244 248), 2020.
20. Prabhu, V. , Stanley, L. C. Linder, and R. Morgan, Analyzing the Efficacy of a Restorative Virtual Reality Environment using HRV Biofeedback for Pain and Anxiety Management. In the proceedings of the 2020 IEEE International Conference on Human-Machine Systems, Rome, Italy, 2020.
21. Rahman, S., Wittie, M., Stanley, L., & Patterson, S. MicroLambda Packetized Computation for 5G Mobile Edge Computing. In the proceedings of USEnix, USENIX Association HotEdge 20 3rd USENIX Workshop on Hot Topics in Edge Computing, (Abstract), June, 2020.
22. Prabhu, V., Linder, C., Stanley, L. & Morgan, R. Affective Computing in Virtual Reality Environments for Managing Surgical Pain and Anxiety. Proceedings of the International Conference on IEEE Artificial Intelligence and Virtual Reality (AIVR), 2019.
23. Deb, S., Carruth, D. Fuad, M., Stanley, L., & Frey D., Comparison of child and adult pedestrian perspectives of external features on autonomous vehicles using a virtual reality experiment. In the proceedings of the International Conference on Applied Human Factors and Ergonomics and part of Advances in Intelligent Systems and Computing, Volume 964, Springer Nature, 2019.
24. Cull E., Saha, A, Stanley L., Prabhu, V. G. and Biro, J. “Analyzing the Efficacy and Design Considerations of VR Environments to Manage Anxiety & Depression in AYA Cancer Patients,” Blood, vol. 134, no. Supplement_1, pp. 3441–3441, (Abstract & Poster) Nov. 2019. Impact Factor = 22.1
25. Biro, J., Linder, C., & Stanley, L. Applications of Virtual Environments in Human Factors Research and Practice: Utilizing Virtual Reality and Biofeedback as an Adjunct Treatment in Addressing the Opioid Crisis. Human Factors & Ergonomics Society Annual Conference, (Abstract and Demo), Washington, DC., October 2019.
26. Hines, A., Biro, J., & Stanley, L. Analyzing the Mood-Improvement Effects of Exposure to Virtual Reality Dogs, National Conference on Undergraduate Research, Kennesaw, Georgia, April 10-13, (Poster), 2019.
27. Rickert, A., Walter, T., Linder, C., & Stanley, L. Examination of Presence in VR Through Haptically Delivered Thermal Stimuli, National Conference on Undergraduate Research, Kennesaw, Georgia, April 10-13, (Poster), 2019.
28. Prabhu, V. G. & Stanley, L. Analyzing the Efficacy of VR to Mitigate Acute Pain and Anxiety in Operative Settings, Institute of Industrial and Systems Engineering Research Conference, (Poster & Presentation) Orlando, FL, 2019.
29. Barry, J., Schiff, S., Biro, J., Ghalayani, M., & Stanley, L. Personas to Improve the Development of Healthcare Focused Virtual Reality Applications, Southeastern Human Factors Applied Research Conference, (Poster), 2018.
30. Prabhu, V. G., Shvorin, D., Stanley, L., & Pirrallo, R. A Comparative Study Between Resident and Attending Physicians in the Emergency Department to Analyze Stress and Burnout, Southeastern Human Factors Applied Research Conference (Poster), 2018.
31. Prabhu, V. G., Shvorin, D., Stanley, L., & Coldebella, R. Physician Distraction in the Emergency Department, Southeastern Human Factors Applied Research Conference, (Poster), 2018.
32. Biro, J.& Stanley, L. Evaluating the Efficacy of VR for Managing the Pain and Anxiety of AYA Cancer Patients, Southeastern Human Factors Applied Research Conference, (Poster), 2018.
33. Ghalayani, M., Schiff, S. & Stanley, L. The Use of VR for Acute Pain Management in Operative Care Environments, Southeastern Human Factors Applied Research Conference, (Poster), 2018.
34. Mears, L., Niaki, F., Muth, R., & Stanley, L. Personalized Manufacturing: Sociology and Psychology as Fundamental Design Elements for Future Advanced Production Systems. David Dornfeld Manufacturing Vision Award and Blue Sky Competition (NSF sponsored), (Abstract), 2018.
35. Stanley, L. Fatigue Monitoring and Management across Different Industries: Fatigue Monitoring Technologies for Detecting Driver Drowsiness. Human Factors & Ergonomics Society Annual Conference, (Abstract and Panel Presentation), Washington, DC., September, 2016.
36. Mueller, J., & Stanley, L. Multivariate Analysis of Driver Responses in Simulator and On-Road, Industrial and Systems Engineering Research Conference, (Poster), Anaheim, CA, 2016.
37. Young, K., & Stanley, L. Teen Driving Attitudinal and Behavioral Differences Across Two States, Industrial and Systems Engineering Research Conference Proceedings, (Poster), Anaheim, CA, 2016.
38. Imtiaz, A., & Stanley, L. On-Road Study Assessing the Effect of Age and Experience on Hazard Perception, Industrial and Systems Engineering Research Conference, (Poster), Anaheim, CA, 2016.
39. Stanley, L & Young, K. Validity Assessment of Virtual Reality through Geo-Specific Scenarios. Applied Ergonomics Conference, (Poster), March 21-24, 2016.
40. Stanley, L. Addressing the Need for Effective Communications across the Engineering Curricula- Distinguished Speakers Series at the International Conference on Operations Excellence & Service Engineering, (Abstract and Presentation), Orlando, FL, September 10-11, 2015.
41. Stanley, L. A Peer-to-Peer Public Health Intervention-A Case Study in Transportation Safety. International Conference on Operations Excellence & Service Engineering, (Abstract and Presentation), Orlando, FL, September 10-11, 2015.
42. Young, K. & Stanley, L., Human Factors Design of a Low-Cost Adjustable Wheel Locking System for a Child’s Wheelchair, 6th International Conference on Applied Human Factors and Ergonomics, (Poster), Las Vegas, USA July 26-30, 2015.
43. Mueller, J., Young, K., & Stanley, L. Validating a Driving Simulator: Effect of Increased Mental Effort While Driving on Real Roads and in Simulators. Transportation Research Board 2015 Annual Meeting. Transportation Research Board: (Abstract and Poster), Washington, D.C., January 2015.
44. Mueller, J., Young, K., & Stanley, L. Driver Characteristics: Simulated and On-Road Driver Stopping Behaviors. Transportation Research Board 2015 Annual Meeting. Transportation Research Board: (Abstract and Poster), Washington, D.C., January 2015.
45. Imtiaz, A. & Stanley, L. Characterizing Eye Movement Behavior of Teen Drivers while Following a Left Turning Truck at Stop Controlled Intersection. 12th Annual Regional National Occupational Research Agenda Symposium Proceedings. (Abstract and Presentation), Salt Lake City, UT. April 2014.
46. Stanley, L., Manlove K., Peck, A. Evaluating the Effectiveness of Occupant Protection Programs. Conference on Statistical Practice Proceedings, (Abstract & Presentation), Tampa, FL. February 20-22, 2014.
47. Stanley, L. Complexity of Instrumentation in Assessing Virtual vs Real World Hazard Perception Environments. Proceedings 1st Annual International Conference on Industrial & Systems Engineering, (Abstract and Presentation), Athens, Greece, June 24-27, 2013.
48. Ward, N., Durkee, S., & Stanley, L. An Objective Evaluation of an Education-Based Distracted and Drowsy Driving Intervention for Rural Teen Drivers. 5th International Conference on Traffic and Transport Psychology, (Abstract), Groningen, The Netherlands, August 29 – 31, 2012.
49. Young, K., & Stanley, L. Voice Activated Texting-Is It Safer than Conventional Texting While Driving? National Council for Undergraduate Research Annual Conference Proceedings, Ogden, (Abstract and Presentation), Utah 2012.
50. Stanley, L., Angell, L., Perez, M., Deering, R., Llaneras, R, & Green, C. Modeling/Analysis of Pedestrian Back-Over Crashes from NHTSA’s SCI Database. Society of Automotive Engineers International Proceedings (Abstract and Presentation).
51. Hoyt, T., Stanley, L., & Sanddal, N. Rural EMS Worker Restraint Usage and Feasibility in Emergency Response Vehicles, Annals of Advances in Automotive Medicine, (Poster), 2010.
52. Atkins, P. & Stanley, L. Design and Evaluation of a Collision Avoidance System for Cyclists. The IMAGE Society Annual Conference Proceedings, (Poster and Presentation), June 2009.
53. Antin, J. F., Lockhart, T., Shi, W., Stanley, L., Haynes, C., Parajit, P., & Guo, F. Why do older drivers give up their keys? The role of functional impairment. International Conference on Traffic & Transport Psychology, Washington, D.C. (Abstract and Presentation), 2008.
54. Stanley, L., Hardy, A., & Lassacher, S. Enhanced Wildlife Warnings as a Potential Means of Reducing Wildlife-Vehicle Collision. National Rural ITS Conference Proceedings, (Abstract and Presentation), August 2006.
55. Stanley, L. & Philip, D. Development of a Web-Based Household Travel Survey. Institute of Transportation Engineers District 6 Meeting Proceedings, (Presentation), July 2005.
56. Stanley, L. & Sherick, H., Assessing Opinions, Experiences, and Perspectives of Female Engineers Nationwide Via a Web-Based Questionnaire. Women in Engineering Programs & Advocates Networks (WEPAN) Conference, (Abstract), June 2004.
57. Stanley, L., Carson, J., & Marley, R. Accommodating Older Drivers. Institute of Transportation Engineers Intermountain Meeting Proceedings, (Abstract), May 2004.
58. Imtiaz, A., & Stanley, L. Hazard Perception Differences Between Experienced and Less Experienced Drivers. Industrial and Systems Engineering Research Conference Proceedings, Nashville, TN, 2015.
59. Schell, B., Claudio, D., Sobek, D., Stanley, L., & Ward, N. Introducing Flexibility in an Engineering Curriculum Through Student Designed Elective Programs. 2014 ASEE Annual Conference Proceedings, (pgs. 24.808.1 - 24.808.8) June 2014.
60. Mueller, J., Gallagher, C., Martin, T. & Stanley, L. Driving Simulator and Scenario Effects on Driver Response. Industrial and Systems Engineering Research Conference Proceedings. Montreal, Canada, May 2014.
61. Imtiaz, A., Mueller, J. & Stanley, L. Driving Behavior Differences among Early Licensed Teens, Novice Teens, and Experienced Drivers in Simulator and Real World Hazards. Industrial and Systems Engineering Research Conference Proceedings. Montreal, CAN, May 2014.
62. Mueller, J. & Stanley, L. Emergency Medical Services: A Naturalistic Posture Evaluation While Providing Patient Care during Patient Transport. Human Factors and Ergonomics Society Annual Meeting Proceedings, San Diego, CA, October 2013.
63. Mueller, J., Hoyt, T. & Stanley, L. Improving Restraint Feasibility through Ambulance Layout Redesign. 7th Annual Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design Proceedings, Bolton Landing, NY, June 17-20, 2013.
64. Mueller, J., Stanley, L., Azamian, T. & Mercer, D. Assessing Physiological Response Validity in Simulated and Real Driving Environments. Industrial and Systems Engineering Research Conference Proceedings. San Juan, PR, May 2013.
65. Young, K. & Stanley, L. Driver’s Attitudes and Behaviors Regarding Voice Activated Texting Technology and Distracted Driving. Proceedings of the Industrial and Systems Engineering Research Conference Proceedings, Puerto Rico, 2013.
66. Mueller, J., Marley, R. & Stanley, L. Whole-Body Vibration in Emergency Medical Transportation, National Institute for Occupational Safety and Health (NIOSH)’s National Occupational Research Agenda (NORA) Proceedings, (Abstract), April 2013.
67. Page, L., Stanley, L., & Sharma, J. Teen drivers’ hazard perception – are we using crash-representative testing scenarios? Proceedings of the Industrial and Systems Engineering Research Conference Proceedings, Orlando, FL, 2012.
68. Stanley, L. & Hoyt, T. A Service Learning Case Study for the Ergonomics Classroom. Human Factors and Ergonomics Society Conference Proceedings, September 2011. Vol. 55 no. 1525-1529.
69. Stanley, L., Page, L., & Plumb, C. Designing for the Disabled in the Engineering Classroom, Frontiers in Education Conference/American Society of Engineering Education Proceedings, October, 2010. 978-1-4244-6262-9/10.
70. Mueller, J. & Stanley, L. Differences in Self-Reported versus Department of Motor Vehicle in Citation History for Teen Drivers, National Institute for Occupational Safety and Health (NIOSH)’s National Occupational Research Agenda (NORA) Proceedings, April 2009.
71. Stanley, L. & Mueller, J. Effectiveness of a Multistage Driver Education Program for Novice Drivers. Human Factors and Ergonomics Society Annual Meeting Proceedings, October 2009 vol. 53 no. 181348-1352.
72. Marley, R., Stanley, L. & Muthumani, A. Recent evolutions in the curricula of leading industrial engineering programs within the United States. Proceedings of the Annual Conference on Industrial Engineering—Theory, Applications and Practice, Las Vegas, NV, 2008, pp 330-334.
73. Stanley, L. & Kelly, M. Validating Transportation Safety Deployments and Highway Design Elements in Simulated Environments. Canadian Multidisciplinary Road Safety Conference Proceedings, June 2008.
74. Stanley, L. Human Factors in Transportation Safety. National Science Foundation Women in IE Academia Workshop, poster, U.S., Turkey, and the Middle East, July 2008.
75. Stanley, L., Marley, Robert, J. & Kelly, M. Design of Interfaces for Advanced Crash Avoidance Systems. Proceedings of the Annual Conference on Industrial Engineering—Theory, Applications and Practice, November 2007, pp. 767-773.
76. Kelly, M., Lassacher, S., & Stanley, L. Formative Evaluation of Engineering Designs using Driver Performance in an Immersive Driving Simulator. Fourth International Driving Symposium on Human Factors in Driver Assessment Training and Vehicle Design Proceedings, July 2007, pgs. 431- 437.
77. Stanley, L ., Marley, R., & Kelly, M. Haptic and Auditory Cues for Roadway Departure Warnings. Human Factors and Ergonomics Society Annual Meeting Proceedings, October 2006, vol. 50 no. 222405-2408.
78. Stanley, L., Kelly, M., & Lassacher, Suzanne. Driver Performance While Interacting with the 511 Travel Information System in Urban and Rural Traffic. Third International Driving Symposium on Human Factors in Driver Assessment Training and Vehicle Design Proceedings, June 2005, pages 486-492.
79. Stanley, L., Carson, Jodi L., & Marley, R. Shifting the Design Paradigm to Accommodate Older Drivers at Intersections & Work Zones. Annual Regional National Occupational Research Agenda (NORA) Symposium Proceedings, April 2004.
Journals and Book Chapter
1. V. G. Prabhu, Stanley L., Morgan R., and Shirley, B. Designing and developing a nature-based virtual reality with heart rate variability biofeedback for surgical anxiety and pain management: evidence from total knee arthroplasty patients, Aging & Mental Health, 2023, Impact Factor = 3.8
2. V. G. Prabhu, Stanley L., and Morgan R., A Biofeedback Enhanced Adaptive Virtual Reality Environment for Managing Surgical Pain and Anxiety. In International Journal of Semantic Computing Vol. 14, No. 03, pp. 375-393, 2020. Impact Factor = 1.65
3. Agnisarman, S., Madathil, K., & Stanley, L., A Survey of Empirical Studies on Persuasive Technologies to Promote Sustainable Living. Sustainable Computing: Informatics and Systems Journal, 2018. Impact Factor = 4.02
4. Manlove, K., Stanley, L., and Peck, A. A quantitative approach to assessing the efficacy of occupant protection programs: A case study from Montana, Accident Analysis and Prevention Journal, October, 2015. Impact Factor = 4.99
5. Page, L. & Stanley, L. Ergonomics Service Learning Project: Implementing an Alternative Educational Method in an Industrial Engineering Undergraduate Ergonomics Course. Journal of Human Factors and Ergonomics in Manufacturing & Service Industries 00 (0) 1–13 (2014). 2014. Impact Factor = 1.27
6. Mueller, J. & Stanley, L. Contributors toward Ambulance Use of Lights and Sirens from Patient Records. Open Journal of Safety Science and Technology, Vol 3., No. 3, 2013, pp 63-68. Impact Factor = 1.30
7. Antin, J., Lockhart, T., Stanley, L. & Guo, F. Comparing the Impairment Profiles of Older Drivers and Non-Drivers. Journal of Safety Science, Volume 50, Issue 2, February 2012, pp 333-341. Impact Factor = 4.87
8. Mueller, J., L. Stanley and Manlove, K. “Multi-Stage Novice Defensive Driver Training Program: Does It Create Overconfidence?,” Open Journal of Safety Science and Technology, Vol. 2 No. 4, 2012, pp. 133-139. Doi: 10.4236/ojsst.2012.24017. Impact Factor = 1.30
9. McGowen, P., & Stanley, L. An Alternative Methodology for Determining Gap Acceptance, Journal of Transportation Engineering, doi:10.1061/(ASCE)TE.1943-5436.0000358. 2011. Impact Factor = 1.60
10. Stanley, L., Angell, L., Perez, M., Deering, R., Llaneras, R, and Green, C. Modeling/Analysis of Pedestrian Back-Over Crashes from NHTSA’s SCI Database. SAE International Journal of Passenger Cars– Mechanical Systems, Volume 4, pgs 562-571, 2011. Impact Factor = 1.10
11. Sanddal T., Sanddal N., Ward N. & Stanley L. Ambulance Crash Characteristics in the U.S. Defined by the Popular Press: A Retrospective Analysis. Emergency Medicine International, vol. 2010, Article ID 525979, 7 pages, 2010.
12. Stanley, L. and Ward, N. An Evaluation of Cooperative Avoidance Warning System. International Journal of Vehicle Safety, Volume 5, Number 1, 2010, pages 86-99. Impact Factor = .83
13. Antin, J., Stanley, L., and Cicaro, K. Conventional vs. Moving-Map Navigation Methods: Efficiency and Safety Evaluation. Transportation Research Record, No 2138, 34-41, 2009. Impact Factor = 1.03
14. Stanley, L., Hardy, A., and Lassacher S. Driver Responses to Enhanced Wildlife Advisories in a Simulated Environment. Transportation Research Record: Journal of the Transportation Research Board, 2006, No. 1980, pp 126-133. Impact Factor = 3.69
15. Stanley, L., Marley, R. Whole Body Vibrations on the Low Back Using a Suspension Versus Non-Suspension Seat Post During Off-Road Cycling. Medicine and Science in Sports and Exercise Journal, Volume 38(5), May 2006. Impact Factor = 5.41
Unsolicited Advice to Proposers from a
National Science Foundation (NSF) Program Officer
Includes thoughts from my NSF service as Program Director (CISE Directorate - Cyber Human Systems Group) from 2015-2016 as well as words from those who came before me at NSF (thank you to Dr. Jeff Trinkle, former NSF Program Director, for many of the inserts below)
How to Become a Successful NSF PI? Some Inside Insights from Former Program Directors
Disclaimer -Any opinions, findings, and conclusions or recommendations expressed in these slides are those of the authors/presenters and do not necessarily reflect the views of the National Science Foundation.
Is it a fundable research idea?
Whether you have a firm idea of the research direction you want to pursue or not, following the steps below will help you home in on a competitive research direction.
Some keys to preparing a competitive proposal ...
Some advice from others
Preparing for a productive meeting with a Program Director:
(1) What is the problem?
(2) Why is it important to solve?
(3) Which parts of the problem will you solve and how?
(4) What is the intellectual merit of your proposal?
(5) How does this fit Cyber Human Systems (CHS) program?
How to Approach your National Science Foundation Program Director
1. If you don’t hear back on your first contact (phone or email), what is the best next step and where is the line between persistence and annoyance?
It is generally suggested that you start with an e-mail, because many PDs are out of the office for various reasons (meetings, panels, conferences, independent research activities, etc.). PDs are very busy so give them a week to respond, many will respond within a day or two. If the PD does not respond after 2x, then try to contact another PD within that program. It is recommended that you contact one PD in the program, instead of all PDs in that program. By sending a note to all it often times because unclear who should respond, risking the chance of it falling deeper in their mailbox, resulting in no response at all.
2. How much about your grant idea should you share when reaching out via email? 1 page, 2 pages? What should that info include?
Because time is of essence most PDs will only want a one-page summary, definitely no more than two pages. They always work to treat everyone fairly, so what they do for they must do for everyone. This is why they cannot read an entire 15-page proposal to provide feedback, there is not enough time in doing so for everyone. In your project summary, you should strive to answer these questions clearly and concisely: (1) What is the problem? (2) Why is it important to solve? (3) Which parts of the problem will you solve? (4) How will those problems be attacked? (5) How does this fit the particular program of interest? Pertaining to question #5, this tells the PD whether you have done the homework necessary to determine the proper fit for the idea. Or it may help them in providing “fit” advice. That is many times a proposer may think their idea fits a certain program, division, or directorate but often times it doesn’t and this is where the PD can help. Work with mentors who have been successful on proposals to NSF, seek out those who will give you honest and constructive feedback, rather than those who simply say “looks great, submit”. Critical feedback from more experienced folks is critical to success at NSF!
3. What are some of the best questions you have had/asked? Don’t be shy to bring forth “crazy” ideas; NSF is the place for such ideas!
NSF is one of the only agencies that funds work on potentially “crazy” ideas that may lead to transformative ideas in terms of intellectual merit and broader impacts.
4. Are there any questions you would recommend NOT asking?
Gather what your interests and passions are and write for that. Don’t ask the PD what they would like funded and what their interests are in and write to that. PDs, for the most part, were once/are academics so they understand the granting process, funding students, publishing students, tenure process, etc. They have a very good understanding of the university system and how to navigate that path. PDs encourage communication, there will never be any negative consequences to speaking with PD, e.g. won’t hurt your chances for future funding etc. Feel comfortable asking them questions. Seek them out early in the grant writing process to ensure your idea is a good fit and if not where a good fit may be.
5. What is the goal of the program officer in these conversations? What is the goal of the faculty member?
The goal of the faculty member is to of course secure funding to fund your research, students, obtain tenure so forth and so on. The NSF PD knows this but what they want to hear is what it is that you are excited and passionate about in a clear and concise manner. PDs may not have expertise in your area, most likely they will not, so you will need to be generalists to some degree when conveying your idea. The PDs role is to encourage you to submit assuming it’s a good fit for their program or to help you navigate where may be the better home. As a proposer realize that you will be declined, the funding rate within my own program is from ~6% (CHS: LARGE) ~25% (CHS:CRII) depending on the solicitation. As a new faculty member write your PD and ask them if you can serve on a panel (send an e-mail with your CV attached) so that you can understand the review process. It is OK if you have never served or have not been successful via NSF funding mechanisms.
(Thank you to PDs in Cyber-Human Systems Program!)
Your resource for conducting research...
Scientific Writing Guidelines
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Human Computer Interaction Tools
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Student awards, research projects, and more...
MSU researchers win $1.2 million grant to improve worker-robot interaction using mixed reality and affective computing techniques.
Students Present at IISE Annual Conference & Expo
Vishnu presenting his research on Analyzing the Efficacy of VR for Pain & Anxiety for Post-Operative Patients at Prisma Health
THINKER program Awarded a $3M National Science Foundation-NRT Grant
Students Win the Entrepreneurial Spark Challenge $2500 and a Trip to California to pitch their idea!
Laura Stanley Appointed Faculty - Computer Science-Biomedical Data Science & Informatics, Medical University of South Carolina
Biomedical data science and informatics is an interdisciplinary field that applies concepts and methods from computer science and other quantitative disciplines together with principles of information science to solve challenging problems in biology, medicine and public health. Read more.
Human Interaction Students Present Their Research at Southeastern Human Factors Applied Research Conference April 7th, 2018.
The Southeastern Human Factors Applied Research Conference (SHARC) is a one-day multidisciplinary Human Factors conference with the aims of providing information, networking opportunities, and presentation opportunities for students currently in graduate or undergraduate programs relating to human factors, psychology, engineering, and design. Read more.
HI Lab Research on VR Research to Relieve Pain and Anxiety via Twitter
Research demonstrates that ten percent of the population becomes addicted to opioids from exposure to narcotics in the operative setting. The abuse and addiction from these drugs have now placed the US in the center of an “opioid epidemic”. As a result, a variety of programs and interventions are being explored to treat the pain associated with surgery while minimizing or eliminating the need for opioids. One such “alternative” treatment for pain involves the use of virtual reality (VR) as a primary or adjunct technique. We will achieve this goal by RELIEVE (viRtual rEaLity IntErVEntion), a virtual reality pain management intervention scheme.