Journal Publications and Book Chapters

Z Zhang, MF Elahi, J Domeyer, R Tian, 2025. Driver temporal segmentation of pedestrian crossing intentions during negotiations. Transportation Research Part F: Traffic Psychology and Behaviour 114, 953-969.

MF Elahi, T Jing, Z Ding, R Tian., 2025, , MindReaD: Enhancing Pedestrian-Vehicle Interaction with Micro-Level Reasoning Data Annotation. International Journal of Human–Computer Interaction 41 (13), 8194-8209.

Journal Publications and Book Chapters

Elahi, M.F., Jing, T., Ding, Z. and Tian, R., 2024. MindReaD: Enhancing Pedestrian-Vehicle Interaction with Micro-Level Reasoning Data Annotation. International Journal of Human-Computer Interaction, pp.1-16.

Zhang, Z., Ding, Z., and Tian, R., 2024, “Decouple Ego-View Motions for Predicting Pedestrian Trajectory and Intention”, IEEE Transactions on Image Processing, (Accepted)

Meng, C., Martin-Hammond, A., Deal, S.W. and Tian, R., 2024. Improving Human Connections and Audience Satisfaction in Online Concerts and Music Conferences. Computer Music Journal, pp.1-52.

Zhang, Z., Tian, R., Duffy, V.G. and Li, L., 2024. The comfort of the soft-safety driver alerts: Measurements and evaluation. International Journal of Human-Computer Interaction, 40(4), pp.904-914.

Chen, Y. and Tian, R., 2024. Social Intelligence for Autonomous Vehicles Interacting with Vulnerable Road Users. IEEE Transactions on Intelligent Transportation Systems, 25(4), pp.261-277.

Tian, R., Li, L., Chien, S., Chen, Y. & Sherony, R., “Chapter 8 E-Scooter Riding Behaviors and Risks from Naturalistic Driving Study and Crash Data Analysis.” in Transportation Mobility in Smart Cities (edited by P. Ioannou and A. A. Malikopoulos), Springer, 2024 (In Press)

Conference Proceedings (Human Factors, Human-Computer Interaction)

Zhang, Z., Duffy, V. G., Lehto, M. R., Ding, Z., and Tian, R., 2024, A Unified Framework for Hierarchical Pedestrian Behavior Generation in Urban Scenario, In International Conference on Human-Computer Interaction, (In Press).

Zhang, Z., and Tian, R., 2024, Uncertainty Differences in Computing Hierarchical Pedestrian Behaviors, In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Accepted)

Elahi, M., Li, T., and Tian, R., 2024, Exploring Collective Theory of Mind on Pedestrian Behavioral Intentions, ACM Conference on Human Factors in Computing Systems-Extended Abstracts, CHI EA’24.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Zhang, Z., Ding, Z., Chen, Y., Chien, S., Li, L., Sherony, R., Domeyer, J., and Tian, R., 2024, Intent-Guided Trajectory Prediction for E-scooter Riders and Bicyclists, In 27 th IEEE International Conference on Intelligent Transportation Systems – ITSC2024.

Thapa, D., Adil, S.M., Li, L., Mishra, S., Tian, R., Chien, S., Chen, Y. and Sherony, R., 2024, June. E-scooter Crash Data Analysis Towards E-scooter Automatic Emergency Braking System Design and Validation for Automated Vehicles. In 2024 IEEE Intelligent Vehicles Symposium (IV) (pp. 1323-1328). IEEE.

Conference Presentations

Elahi, M., Jiang, J., Domeyer, J., and Tian, R., 2024, Assessing AI Social Aptitude using Crowd Sourced Cognitive Labels, ASPIRE—the HFES International Annual Meeting, September 9-13, Phoenix, Arizona.

Journal Publications and Book Chapters

Adams, N., Kong, N., Tian, R., Altidor, C. and Chang, S., 2023. Untrained bystanders administering drone-delivered naloxone: an exploratory study. Substance abuse: research and treatment, 17, p.11782218231211830.

Conference Proceedings (Artificial Intelligence, Data Science, Robotics)

Zhang, Z., Tian, R. and Ding, Z., 2023. TrEP: Transformer-based Evidential Prediction for Pedestrian Intention with Uncertainty. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 37).

Conference Proceedings (Human Factors, Human-Computer Interaction)

Wu, J., Jiang, J., Duffy, V., Zhou, J., Chen, Y., Tian, R., McCoy, D. and Ruble, T., 2023, September. Impacts of roadside vegetation and lane width on speed management in rural roads. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 67, No. 1, pp. 2267-2273). Sage CA: Los Angeles, CA: SAGE Publications.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Tian, R., Chien, S.., Li, L., Chen, Y., and Sherony, R., 2023, April. Risk Assessment and Mitigation of E-Scooter Crashes with Naturalistic Driving Data. In 27 th International Technical Conference on the Enhanced Safety of Vehicles (ESV)

Conference Presentations

Tian, R., Duffy, V., Chen, Y., Ruble, T., and McCoy, D., 2023, Geometric Constraints and Visual Field Related to Speed Management, Purdue Road School 2023.

Invited Talks

2023.06.30. IEEE ITSS Workshop on Smart Cities, “Safety of E-Scooter Riders: Crash Analysis, Behavior Pattern, and Prediction Model”

Preprints

Shen, D., Zhang, Z., Tian, R., Chen, Y. and Sherony, R., 2023. An Efficient Probabilistic Solution to Mapping Errors in LiDAR-Camera Fusion for Autonomous Vehicles. arXiv preprint arXiv:2311.04410.

Journal Publications and Book Chapters

Zhang, Z., Tian, R., Sherony, R., Domeyer, J. and Ding, Z., 2022. Attention-based interrelation modeling for explainable automated driving. IEEE Transactions on Intelligent Vehicles, 8(2), pp.1564-1573.

Zhang, Z., Tian, R. and Duffy, V.G., 2022. Trust in automated vehicle: A meta-analysis. In Human-Automation Interaction: Transportation (pp. 221-234). Cham: Springer International Publishing.

Conference Proceedings (Artificial Intelligence, Data Science, Robotics)

Jing, T., Xia, H., Tian, R., Ding, H., Luo, X., Domeyer, J., Sherony, R. and Ding, Z., 2022. InAction: Interpretable Action Decision Making for Autonomous Driving. In European Conference on Computer Vision (ECCV’22) (pp. 370-387). Springer, Cham.

Elahi, M., Tian, R., and Luo, X., 2022. Flexible and Scalable Annotation Tool to Develop Scene Understanding Datasets. Workshop on Human-in-the-Loop Data Analytics (HILDA 2022), ACM SIGMOD/PODS Conference, June 12-17, Philadelphia, PA.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Prabu, A., Ranjan, N., Li, L., Tian, R., Chien, S., Chen, Y., and Sherony, R., 2022. SceNDD: A Scenario-Based Naturalistic Driving Dataset. 25th IEEE International Conference on Intelligent Transportation Systems – ITSC2022, October 8-12, 2022, Macau, China

C22. Tian, R., Li, L., Chen, Y., Chien, S., and Sherony, R., 2022. Safety Assessment of E-Scooter Riders from a Naturalistic Driving Study. 2022 IRCOBI (International Research Council on Biomechanics of Injury) Europe Conference, September 14-16, Porto, Portugal

Conference Presentations

Tian, R., Elahi, M., Chen, T., Luo, X., Domeyer, J., Toyoda, H., and Sherony, R., 2022. Exploring Discrepancies between Drivers and A.I. in Understanding Pedestrian Intent. 66th HFES (Human Factors and Ergonomics Society) annual conference, October 10-14, Atlanta, Georgia.

Tian, R., 2022. PSI: Benchmark Dataset for Explainable prediction of Pedestrian INTENTION changes. In the 2nd Workshop on Pedestrian Behavior Prediction, 33rd IEEE Intelligent Vehicles Symposium, June 5th -9th, 2022, Aachen, Germany.

Invited Talks

2022.11.11. University at Buffalo, “Social Intelligence for Autonomous Vehicles Interacting with Vulnerable Road Users”

2022.10.28. IEEE Intelligent Transportation Systems Society Workshop on Connected and Autonomous Vehicles, “Social Intelligence for Autonomous Vehicles Interacting with Vulnerable Road Users”

2022.09.15. Indiana University Fall Symposium on Artificial Intelligence, “Intention-Guided Pedestrian Behavior Modeling”

2022.06.15. NSF 1852105 REU Site: Enhancing Undergraduate Experiences in Mobile Cloud and Data Security, IUPUI, “Understanding and Predicting Pedestrian Behaviors from the View of Situated Intent”.

2022.03.25. Old Dominion University, “Understanding and Predicting Pedestrian Behaviors from the View of Situated Intent”.

Conference Proceedings (Artificial Intelligence, Data Science, Robotics)

Chen, T., Tian, R., and Ding, Z., 2021. Visual reasoning using graph convolutional networks for predicting pedestrian crossing intention. In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV’21) (pp. 3103-3109).

Sreeram, J.G., Luo, X. and Tian, R., 2021, September. Contextual and Behavior Factors Extraction from Pedestrian Encounter Scenes Using Deep Language Models. In International Conference on Big Data Analytics and Knowledge Discovery (pp. 131-136). Springer, Cham.

Conference Proceedings (Human Factors, Human-Computer Interaction)

Zhang, Z. and Tian, R., 2021, September. Studying Battery Range and Range Anxiety for Electric Vehicles based on Real Travel Demands. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 65, No. 1, pp. 332-336). Sage CA: Los Angeles, CA: SAGE Publications.

Zhang, Z., Duffy, V.G. and Tian, R., 2021, July. Trust and Automation: A Systematic Review and Bibliometric Analysis. In International Conference on Human-Computer Interaction (pp. 451-464). Springer, Cham.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Islam, M.M., Newaz, A.A.R., Tian, R., Homaifar, A. and Karimoddini, A., 2021, November. A Computationally Effective Pedestrian Detection using Constrained Fusion with Body Parts for Autonomous Driving. In 2021 Fifth IEEE International Conference on Robotic Computing (IRC) (pp. 106-110). IEEE.

Chen, T. and Tian, R., 2021, September. A survey on deep-learning methods for pedestrian behavior prediction from the egocentric view. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 1898-1905). IEEE.

Prabu, A., Tian, R., Li, L., Le, J., Sundararajan, S. and Barbat, S., 2021, September. Peek into the Future of Camera-based Occupant Sensing in Configurable Cabins for Autonomous Vehicles. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 3321-3327). IEEE.

Elahi, M.F., Sreeram, J.G., Luo, X. and Tian, R., 2021, September. A Novel Adaptation of Information Extraction Algorithm to Process Natural Text Descriptions of Pedestrian Encounters. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 1906-1912). IEEE.

Zhang, Z., Shen, D., Tian, R., Li, L., Chen, Y., Sturdevant, J. and Cox, E., 2021, September. Implementation and Performance Evaluation of In-vehicle Highway Back-of-Queue Alerting System Using the Driving Simulator. In 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) (pp. 1753-1759). IEEE.

Prabu, A., Shen, D., Tian, R., Chien, S., Li, L., Chen, Y., and Sherony, R., 2021. A Wearable Data Collection System for Studying Micro-Level E-Scooter Behavior in Naturalistic Road Environment. FAST-zero 21 conference, Sep. 27-Oct. 1, Kanazawa, Japan.

Shen, D., Zhang, Z., Ruan, K., Tian, R., Li, L., Li, F., Chen, Y., Sturdevant, J. and Cox, E., 2021. Assessing the effectiveness of in-vehicle highway back-of-queue alerting system. TRB Annual Conference, (No. TRBAM-21-03879)

Conference Presentations

Tian, R., 2021. Situated Pedestrian Intent from the Driver’s Perspective: Theory and Challenges. In the 1 st Workshop on Pedestrian Behavior Prediction, 24th IEEE International Conference on Intelligent Transportation – ITSC2021, September 19-22, 2021, Indianapolis, Indiana.

Preprints

Apurv, K., Tian, R., and Sherony, R., 2021. Detection of E-scooter Riders in Naturalistic Scenes. arXiv preprint arXiv:2111.14060.

Chen, T., Jing, T., Tian, R., Chen, Y., Domeyer, J., Toyoda, H., Sherony, R., and Ding, Z., 2021. PSI: A Pedestrian Behavior Dataset for Socially Intelligent Autonomous Car. arXiv preprint arXiv:2112.02604.

Conference Proceedings (Human Factors, Human-Computer Interaction)

Shen, D., Spisak, T., Chen, Y. and Tian, R., 2020, July. A Practical View of the Similarity and Differences Among the Impaired Driver States in Legal Driving. In International Conference on Human-Computer Interaction (pp. 207-220). Springer, Cham.

Elahi, M.F., Luo, X. and Tian, R., 2020, July. A Framework for Modeling Knowledge Graphs via Processing Natural Descriptions of Vehicle-Pedestrian Interactions. In International Conference on Human-Computer Interaction (pp. 40-50). Springer, Cham.

Conference Presentations

Zhang, Z., and Tian, R., 2020. Effectiveness of the Soft-Safety Driver Alerts: Measurements, Alert Types, and Driver States. 64th HFES (Human Factors and Ergonomics Society) annual conference, Virtual Conference.

Journal Publications and Book Chapters

Shen, D., Yi, Q., Li, L., Tian, R., Chien, S., Chen, Y. and Sherony, R., 2019. Test scenarios development and data collection methods for the evaluation of vehicle road departure prevention systems. IEEE Transactions on Intelligent Vehicles, 4(3), pp.337-352.

Tian, R., Ruan, K., Li, L., Le, J., Greenberg, J. and Barbat, S., 2019. Standardized evaluation of camera-based driver state monitoring systems. IEEE/CAA Journal of Automatica Sinica, 6(3), pp.716-732.

Conference Proceedings (Human Factors, Human-Computer Interaction)

Tian, R., Chien, S., Chen, Y. and Sherony, R., 2019, November. Pedestrian Moving Patterns During Potential Conflicts with 110 On-Road Driving Vehicles. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 63, No. 1, pp. 2036-2040). Sage CA: Los Angeles, CA: SAGE Publications.

Ruan, K., Yarmand, Z., Tian, R., Li, L., Chen, Y., Li, F. and Sturdevant, J., 2019, July. Highway end-of-queue alerting system based on probe vehicle data. In International Conference on Human-Computer Interaction (pp. 467-478). Springer, Cham.

Gandhi, P., Luo, X. and Tian, R., 2019, July. Modeling Vehicle-Pedestrian Encountering Risks in the Natural Driving Environment Using Machine Learning Algorithms. In International Conference on Human-Computer Interaction (pp. 382-393). Springer, Cham.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Ruan, K., Li, L., Yi, Q., Chien, S., Tian, R., Chen, Y. and Sherony, R., 2019, November. A novel scoring method for pedestrian automatic emergency braking systems. In 2019 IEEE International Conference on Service Operations and Logistics, and Informatics (SOLI) (pp. 128-133). IEEE.

Deng, Q., Le, J., Barbat, S., Tian, R. and Chen, Y., 2019, June. Efficient living subject localization and weak vital-sign signal enhancement using impulse radio-based UWB radar. In 2019 IEEE Intelligent Vehicles Symposium (IV) (pp. 777-782). IEEE.

Conference Presentations

Tian, R., and Li, L., 2019, Risk of Driver Distraction & Driver Distraction in Semi-Autonomous Driving, Purdue Road School 2019.

Tian, R., 2019, Vehicle-Pedestrian Encountering Scenarios and Pedestrian Behavior Recognition in Naturalistic Driving Environment, Purdue Road School 2019.

Invited Talks

2019.06.27. Chongqing University of Engineering & Technology, China. “Improve Safety, Mobility, and Efficiency of Automated Driving Systems (ADS) through Computational Behavior Analysis”

2019.04.11. Industrial Advisory Board meeting, Department of Computer Information Technology IUPUI. “Vehicle-Pedestrian Encountering Scenarios from naturalistic Driving Data”

2019.03.22. IUPUI Data Science Summit. “Vehicle-Pedestrian Encountering Scenarios from naturalistic Driving Data”

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Deng, Q., Tian, R., Chen, Y. and Li, K., 2018, June. Skeleton model-based behavior recognition for pedestrians and cyclists from vehicle scene camera. In 2018 IEEE Intelligent Vehicles Symposium (IV) (pp. 1293-1298). IEEE.

C33. Shen, D., Yi, Q., Lin, J., Tian, R., Chien, S. and Sherony, R., 2018. Roadside boundaries and objects for the development of vehicle roadkeeping assistance system, SAE Technical Paper (No. 2018-01-0508).

Conference Presentations

Tian, R., Chen, Y., and Good, D., 2018. Vehicle-Pedestrian Encountering Scenarios and Pedestrian Behavior Recognition in Naturalistic Driving Environment. In the 5th Workshop on Naturalistic Driving Data Analytics, 29th IEEE International Conference on Intelligent Vehicles Symposium, June 2018, Changshu, Suzhou, China

Tian, R., and Chen, Y., 2018. TASI 110-Car Naturalistic Driving Study: Implications to Vehicle-pedestrian Crash Test Scenarios. In 97th Transportation Research Board Annual Meeting, January 7-11, 2018, Washington DC.

Invited Talks

2018.12.10. Eli Lilly and Company. “Effect of Work Complexity & Individual Differences on Nursing I.T. Utilization”

2018.08.24. School of Informatics. “Improve Safety, Mobility, and Efficiency of Automated Driving Systems (ADS) Through Computational Behavioral Analysis

Conference Proceedings (Human Factors, Human-Computer Interaction)

Yi, Q., Tian, R. and Chen, K., 2017, July. A Universal 3D Gait Planning Based on Comprehensive Motion Constraints. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (pp. 214-228). Springer, Cham.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Fu, L., Tian, R., Li, L., Chen, Y. and Sherony, R., 2017. Bicycle speed analysis for assessment of bicyclist pre-collision system. In The 25th International Technical Conference on the Enhanced Safety of Vehicles, 5-6 June 2017, Detroit, Michigan, United States.

Conference Presentations

Tian, R., and Chen, Y., 2017. Understanding the Performance and Limitations of Advanced Driver State Monitoring Systems through Naturalistic Driving Experiments. In the 4th Workshop on Naturalistic Driving Data Analytics, 28th IEEE International Conference on Intelligent Vehicles Symposium, June 2017, Redondo Beach, California, USA

Journal Publications and Book Chapters

Sherony, R., Tian, R., Chien, S., Fu, L., Chen, Y. and Takahashi, H., 2016. Pedestrian/bicyclist limb motion analysis from 110-car TASI video data for autonomous emergency braking testing surrogate development. SAE International Journal of Transportation Safety, 4(1), pp.113-120.

Conference Proceedings (Artificial Intelligence, Data Science, Robotics)

Mueid, R., Christopher, L. and Tian, R., 2016, October. Vehicle-pedestrian dynamic interaction through tractography of relative movements and articulated pedestrian pose estimation. In 2016 IEEE Applied Imagery Pattern Recognition Workshop (AIPR) (pp. 1-6). IEEE.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Tian, R., Ruan, K., Li, L., Le, J. and Rao, M., 2016. Towards Standardized Performance Evaluation of Camera-Based Driver State Sensing Technologies (No. 2016-01-1500). SAE Technical Paper.

Conference Presentations

Tian, R., Fu, L., Chien, S., Chen, Y., Sherony, R., and Takahashi, H., “Pedestrian/Bicyclist Limb Motion Analysis from 110-Car TASI Video Data for Autonomous Emergency Braking Testing Surrogate Development,” In SAE 2016 World Congress & Exhibition, Detroit, Michigan, USA, April 2016

Conference Proceedings (Human Factors, Human-Computer Interaction)

Tian, R., Li, L., Yang, K., Jiang, F., Chen, Y. and Sherony, R., 2015, August. Single-variable scenario analysis of vehicle-pedestrian potential crash based on video analysis results of large-scale naturalistic driving data. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management (pp. 295-304). Springer, Cham.

Conference Presentations

Tian, R., and Chen, Y., 2015. TASI 110-Car Naturalistic Driving Study: Implications to Vehicle-Pedestrian Crash Testing Scenarios and Pedestrian Crash Dummy Development. In the 2nd Workshop on Naturalistic Driving Data Analytics, 26th IEEE International Conference on Intelligent Vehicles Symposium, June 2015, Coex, Seoul, Korea.

Journal Publications and Book Chapters

Tian, R., Lee, B.C., Yucel, G., Abel, S.R., Hultgren, K.E. and Duffy, V.G., 2014. Evaluating Bar Coding‐Aided Medication Administration through Identification of Nursing Work Deficiencies. Human Factors and Ergonomics in Manufacturing & Service Industries, 24(4), pp.468-478.

Tian, R., Li, L., Rajput, V.S., Witt, G.J., Duffy, V.G. and Chen, Y., 2014. Study on the display positions for the haptic rotary device-based integrated in-vehicle infotainment interface. IEEE Transactions on Intelligent Transportation Systems, 15(3), pp.1234-1245.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Tian, R., Wang, J., Li, L. and Chen, Y., 2014, October. Connecting road environment features and driver glance behavior in the macro level: Surrounding vehicle patterns, traffic density, and driver eye-glance behaviors. In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 1614-1619). IEEE.

Tian, R., Li, L., Yang, K., Chien, S., Chen, Y. and Sherony, R., 2014, June. Estimation of the vehicle-pedestrian encounter/conflict risk on the road based on TASI 110-car naturalistic driving data collection. In 2014 IEEE Intelligent Vehicles Symposium proceedings (pp. 623-629). IEEE.

Journal Publications and Book Chapters

Tian, R., Li, L., Chen, M., Chen, Y. and Witt, G.J., 2013. Studying the effects of driver distraction and traffic density on the probability of crash and near-crash events in naturalistic driving environment. IEEE Transactions on Intelligent Transportation Systems, 14(3), pp.1547-1555.

Conference Proceedings (Automated Driving, Intelligent Transportation Systems)

Du, E.Y., Yang, K., Jiang, F., Jiang, P., Tian, R., Luzetski, M., Chen, Y., Sherony, R. and Takahashi, H., 2013, May. Pedestrian behavior analysis using 110-car naturalistic driving data in USA. In 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV) (pp. 27-30).

Tian, R., Du, E.Y., Yang, K., Jiang, P., Jiang, F., Chen, Y., Sherony, R. and Takahashi, H., 2013, June. Pilot study on pedestrian step frequency in naturalistic driving environment. In 2013 IEEE Intelligent Vehicles Symposium (IV) (pp. 1215-1220). IEEE.

Journal Publications and Book Chapters

Wu, T., Tian, R., and Duffy, V.G., 2012. Performing ergonomics analyses through virtual interactive design: Validity and reliability assessment. Human factors and ergonomics in manufacturing & service industries, 22(3), pp.256-268.

Journal Publications and Book Chapters

Tian, R., and Duffy, V.G., 2011. Computerized task risk assessment using digital human modeling-based Job Risk Classification Model. Computers & Industrial Engineering, 61(4), pp.1044-1052.

Conference Proceedings (Human Factors, Human-Computer Interaction)

Tian, R., Zhao, X., and Duffy, V. G., 2010. Effect of Emotional Intelligence on Healthcare I.T. Acceptance. In V. Duffy (Ed.), Advances in Human Factors and Ergonomics in Healthcare (pp. 69-75). Boca Raton: CRC Press.

Tian, R., Lee, B. C., Park, J., and Duffy, V. G., 2010. Sociotechnical Model of Inpatient Nursing Work System for Understanding Healthcare I.T. Innovation Diffusion. In V. Duffy (Ed.), Advances in Human Factors and Ergonomics in Healthcare (pp. 875-884). Boca Raton: CRC Press.

Conference Proceedings (Human Factors, Human-Computer Interaction)

Tian, R., Duffy, V.G., Birk, C., Abel, S.R. and Hultgren, K., 2009, July. The Performance of BCMA-Aided Healthcare Service: Implementation Factors and Results. In International Conference on Digital Human Modeling (pp. 560-568). Springer, Berlin, Heidelberg.

Conference Presentations

Tian, R., and Duffy, V. G., 2008. Performing dynamic ergonomics analysis through virtual interactive design. 2nd International Conference on Applied Human Factors and Ergonomics, July 2008, Las Vegas, U.S.

Journal Publications and Book Chapters

Wang, S., Zheng, L., Zhang, Z., Tian, R., 2007. Solving the Scheduling Problem of Hump Locomotive with Ant Colony Optimization. China Railway Science (Z.H.), 28(3), pp.104–109.

Wang, D., Zheng, L., Zhang, H., Li, Z. and Tian, R., 2007. Web-based and Template-based Document Flow Management System. Application Research of Computers (Z.H.), 24(6), pp.289-291.

Conference Proceedings (Human Factors, Human-Computer Interaction)

Tian, R., Duffy, V.G. and McGinley, J., 2007, July. Effecting validity of ergonomics analysis during virtual interactive design. In International Conference on Digital Human Modeling (pp. 988-997). Springer, Berlin, Heidelberg.

•  PSI (IUPUI-CSRC-Pedestrian Situated Intent) benchmark dataset
  • http://situated-intent.net/pedestrian_dataset/
• E-scooter rider detection benchmark dataset
  • http://situated-intent.net/e-scooter_dataset/