The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Display Signaling in Augmented Reality: Effects of Cue Reliability and Image Realism on Attention Allocation and Trust Calibration
Abstract
This experiment seeks to examine the relationships among three advanced technology features (presentation of target cuing, reliability of target cuing, and level of image reality and the attention and trust given to that information). The participants were 16 military personnel who piloted an unmanned air vehicle and searched for targets camouflaged in terrain, which was presented at two levels of image realism. Cuing was available for some targets, and the reliability of this information was manipulated at two levels (100% and 75%). The results showed that the presence of cuing aided target detection for expected targets but drew attention away from the presence of unexpected targets. Cuing benefits and attentional tunneling were both reduced when cuing became less reliable. Increasing image realism was compelling but increased reliance on the cuing information when those data were reliable. Potential applications include a cost-benefit analysis of how trust modulates attention in the use of automated target recognition systems and the extent to which increased realism may influence this trust.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Yang and colleagues [139] found that likelihood alarms took more time to adjust trust calibration than binary warning signals.”
From Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions (2023) · cites this paper as [139]
In the citing paper
“Yet, uncertainty cues also increased workload in some cases [70] but not in others [92] and led to instances of over-trust when the cues were not reliable [140].”
From Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions (2023) · cites this paper as [140]
In the citing paper
“To assess trust, one paper found that trust is best refected at each moment in the interaction rather than at the end of the interaction [139].”
From Measuring and Understanding Trust Calibrations for Automated Systems: A Survey of the State-Of-The-Art and Future Directions (2023) · cites this paper as [139]
Citations
Cites
Engineering Psychology and Human Performance
Wickens, C. D., Hollands, J. G., Banbury, S. P., & Parasuraman, R. (2015) · Psychology Press eBooks · doi:10.4324/9781315665177 · Cited by 5,017
Self-citationHumans and automation: Use, misuse, disuse, abuse
Parasuraman, R., & Riley, V. (1997) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778543886 · Cited by 4,554
A model for types and levels of human interaction with automation
Parasuraman, R., Sheridan, T. B., & Wickens, C. D. (2000) · IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans · doi:10.1109/3468.844354 · Cited by 4,195
Self-citationTrust, control strategies and allocation of function in human-machine systems
LEE, J., & MORAY, N. (1992) · Ergonomics · doi:10.1080/00140139208967392 · Cited by 1,459
Engineering Psychology and Human Performance
Alluisi, E. A., & Morgan, B. B. (1976) · Annual Review of Psychology · doi:10.1146/annurev.ps.27.020176.001513 · Cited by 1,204
Human Factors in Simple and Complex Systems
Proctor, R. W., & Zandt, T. V. (2008) · CRC Press eBooks · doi:10.1201/9781420063608 · Cited by 478
Automation Bias: Decision Making and Performance in High-Tech Cockpits
Mosier, K. L., Skitka, L. J., Heers, S., & Burdick, M. (1998) · The International Journal of Aviation Psychology · doi:10.1207/s15327108ijap0801_3 · Cited by 353
Alarm effectiveness in driver-centred collision-warning systems
PARASURAMAN, R., HANCOCK, P. A., & OLOFINBOBA, O. (1997) · Ergonomics · doi:10.1080/001401397188224 · Cited by 205
Sorkin, R. D., Kantowitz, B. H., & Kantowitz, S. C. (1988) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872088803000406 · Cited by 187
FORUM: Why are people turning off our alarms?
Sorkin, R. D. (1988) · The Journal of the Acoustical Society of America · doi:10.1121/1.397232 · Cited by 158
Research works printed but not linked: 3
- Entin, E. B., 1998, The effects of decision aid availability and accuracy on performance and confidence
- Ockerman, J. J., Presented at the International Conference on Human-Computer Interaction in Aeronautics
- Theunissen, E., Presented at the 17th Digital Avionics Systems Conference
Cited by
Sorted by citations
Trust in Automation: Designing for Appropriate Reliance
Lee, J. D., & See, K. A. (2004) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.46.1.50_30392 · Cited by 6,605
Automation bias: a systematic review of frequency, effect mediators, and mitigators
Goddard, K., Roudsari, A., & Wyatt, J. C. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000089 · Cited by 1,162
The benefits of imperfect diagnostic automation: a synthesis of the literature
Wickens, C. D., & Dixon, S. R. (2007) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220500370105 · Cited by 423
Self-citationSupporting Human-AI Teams:Transparency, explainability, and situation awareness
Endsley, M. R. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107574 · Cited by 366
Attention: Theory, Principles, Models and Applications
Wickens, C. D. (2021) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2021.1874741 · Cited by 222
Self-citationBehavioral compliance for dynamic versus static signs in an immersive virtual environment
Duarte, E., Rebelo, F., Teles, J. M. V., & Wogalter, M. S. (2013) · Applied Ergonomics · doi:10.1016/j.apergo.2013.10.004 · Cited by 147
Surgeons blinded by enhanced navigation: the effect of augmented reality on attention
Dixon, B. J., Daly, M. J., Chan, H. H. L., Vescan, A. D., Witterick, I., & Irish, J. C. (2012) · Surgical Endoscopy · doi:10.1007/s00464-012-2457-3 · Cited by 158
Wischnewski, M., Krämer, N., & Müller, E. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581197 · Cited by 146
“…with AV [48], observe AVs [64, 119], drive in driving simulator [87, 96, 136] Screening tasks [17, 33, 44, 63, 81, 82, 127, 130, 135, 139, 140], gathering of information [58], Military mission planning [92], human-AI collaboration for search and destroy missions [116] Improving…”
BackgroundInfluentialThe impact of cognitive feedback on judgment performance and trust with decision aids
Seong, Y., & Bisantz, A. M. (2008) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2008.01.007 · Cited by 129
Examining Single- and Multiple-Process Theories of Trust in Automation
Rice, S. C. (2009) · The Journal of general psychology · doi:10.3200/genp.136.3.303-322 · Cited by 139
Managing workload in human–robot interaction: A review of empirical studies
Prewett, M. S., Johnson, R. C., Saboe, K. N., Elliott, L. R., & Coovert, M. D. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.03.010 · Cited by 121
Directing driver attention with augmented reality cues
Rusch, M. L., Schall, M., Gavin, P., Lee, J. D., Dawson, J., Vecera, S. P., & Rizzo, M. (2013) · Transportation Research Part F: Traffic Psychology and Behaviour · doi:10.1016/j.trf.2012.08.007 · Cited by 130
Yeh, M., Merlo, J. L., Wickens, C. D., & Brandenburg, D. L. (2003) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/hfes.45.3.390.27249 · Cited by 118
Self-citationLiquid Crystal Soft Actuators and Robots toward Mixed Reality
Zhu, C., Lu, Y., Jiang, L., & Yu, Y. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202009835 · Cited by 111
Öğretim Sürecinde Z Kuşağının Dikkatini Çekme: Artırılmış Gerçeklik
Somyürek, S. (2014) · Eğitim Teknolojisi Kuram ve Uygulama · doi:10.17943/etku.88319 · Cited by 110
Augmented Reality Cues and Elderly Driver Hazard Perception
Schall, M., Rusch, M. L., Lee, J. D., Dawson, J., Thomas, G. W., Aksan, N., & Rizzo, M. (2013) · Hum. Factors · doi:10.1177/0018720812462029 · Cited by 101
Human Factors in Automation Design
Lee, J., & Seppelt, B. (2009) · Handbook of Automation · doi:10.1007/978-3-540-78831-7_25 · Cited by 87
Pilot Maneuver Choice and Workload in Free Flight
Wickens, C. D., Hellenberg, J., & Xu, X. (2002) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/0018720024497943 · Cited by 94
Self-citationAUGMENTED REALITY AS A TEACHING TOOL IN HIGHER EDUCATION
Rizov, T., & Rizova, E. (2015) · International Journal of Cognitive Research in Science Engineering and Education · doi:10.23947/2334-8496-2015-3-1-7-15 · Cited by 87
Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty
Jiang, J., Kahai, S. S., & Yang, M. H. (2022) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2022.102839 · Cited by 92
Learning From the Slips of Others: Neural Correlates of Trust in Automated Agents
de Visser, E. J., Beatty, P. J., Estepp, J. R., Kohn, S., Abubshait, A., Fedota, J. R., & McDonald, C. G. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00309 · Cited by 73
A Review of US Army Research Contributing to Cognitive Enhancement in Military Contexts
Brunyé, T. T., Brou, R. J., Doty, T. J., Gregory, F. D., Hussey, E. K., Lieberman, H. R., Loverro, K. L., Mezzacappa, E. S., Neumeier, W. H., Patton, D. J., et al. (2020) · Journal of Cognitive Enhancement · doi:10.1007/s41465-020-00167-3 · Cited by 78
Allocation of visual attention while driving with simulated augmented reality
Eyraud, R., Zibetti, E., & Thierry Baccino, B. (2015) · Transportation Research Part F Traffic Psychology and Behaviour · doi:10.1016/j.trf.2015.04.011 · Cited by 69
Design Applications of Visual Spatial Thinking
Wickens, C. D., Vincow, M. A., & Yeh, M. (2005) · Cambridge University Press eBooks · doi:10.1017/cbo9780511610448.011 · Cited by 65
Self-citationHeuristic Automation for Decluttering Tactical Displays
John, M. S., Smallman, H. S., Manes, D. I., Feher, B. A., & Morrison, J. G. (2005) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872005774860014 · Cited by 60
Synthetic vision system for improving unmanned aerial vehicle operator situation awareness
Calhoun, G. L., Draper, M. H., Abernathy, M. F., Patzek, M. J., & Delgado, F. (2005) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.603421 · Cited by 60
A left-turn driving aid using projected oncoming vehicle paths with augmented reality
Tran, C., Bark, K., & Ng‐Thow‐Hing, V. (2013) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/2516540.2516581 · Cited by 51
Reverse 911 as a Complementary Evacuation Warning System
Strawderman, L. J., Salehi, A., Babski-Reeves, K. L., Neaves, T. T., & Cosby, A. G. (2012) · Natural Hazards Review · doi:10.1061/(asce)nh.1527-6996.0000059 · Cited by 50
Augmented Reality for Maintenance Tasks with ChatGPT for Automated Text-to-Action
Xu, F., Nguyen, T., & Du, J. (2024) · Journal of Construction Engineering and Management · doi:10.1061/jcemd4.coeng-14142 · Cited by 51
Next-Generation Surgical Navigation Systems in Sinus and Skull Base Surgery
Citardi, M. J., Yao, W. C., & Luong, A. (2017) · Otolaryngologic Clinics of North America · doi:10.1016/j.otc.2017.01.012 · Cited by 46
Virtual Reality and its potential for evaluating warning compliance
Duarte, E., Rebelo, F., & Wogalter, M. S. (2010) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.20242 · Cited by 46
Subtle cueing for visual search in augmented reality
Lu, W., Duh, H. B., & Feiner, S. (2012) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2012.6402553 · Cited by 45
Linxweiler, M., Pillong, L., Kopanja, D., Kühn, J. P., Wagenpfeil, S., Radosa, J. C., Wang, J., Morris, L. G. T., Kadah, B. A., Bochen, F., et al. (2020) · Laryngoscope Investigative Otolaryngology · doi:10.1002/lio2.436 · Cited by 44
Measuring the Efficiency of Automation-Aided Performance in a Simulated Baggage Screening Task
Boskemper, M. M., Bartlett, M. L., & McCarley, J. S. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720820983632 · Cited by 44
Searching for signs, symbols, and icons: Effects of time of day, visual complexity, and grouping.
McDougall, S. J. P., Tyrer, V., & Folkard, S. (2006) · Journal of Experimental Psychology Applied · doi:10.1037/1076-898x.12.2.118 · Cited by 42
UNDERSTANDING HUMAN OVER-RELIANCE ON TECHNOLOGY.
Grissinger, M. C. (2017) · PubMed Central · Cited by 42
Binocular Rivalry and Head-Worn Displays
Patterson, R., Winterbottom, M., Pierce, B., & Fox, R. (2007) · Hum. Factors · doi:10.1518/001872007x249947 · Cited by 43
Pfannmüller, L., Kramer, M., Senner, B., & Bengler, K. J. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.678 · Cited by 41
Artırılmış Gerçeklik Teknolojisi Üzerine Yapılan Akademik Çalışmaların İçerik Analizi
İÇTEN, T., & Bal, G. (2017) · Bilişim Teknolojileri Dergisi · doi:10.17671/gazibtd.290253 · Cited by 41
Lai, M., Skyrman, S., Shan, C., Babić, D., Homan, R., Edström, E., Persson, O., Burström, G. L., Terander, A. E., Hendriks, B. H. W., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0227312 · Cited by 41
Sheridan, T. B. (2019) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720819829951 · Cited by 38
Interface Transparency Issues in Teleoperation
Almeida, L., Menezes, P. J., & Dias, J. M. M. (2020) · Applied Sciences · doi:10.3390/app10186232 · Cited by 43
Incorporating Human Factor Considerations in Unmanned Aerial Vehicle Routing
Murray, C. C., & Park, W. (2012) · IEEE Transactions on Systems Man and Cybernetics Systems · doi:10.1109/tsmca.2012.2216871 · Cited by 39
In-vehicle augmented reality system to provide driving safety information
Abdi, L., & Meddeb, A. (2017) · Journal of Visualization · doi:10.1007/s12650-017-0442-6 · Cited by 37
Müller, R. (2024) · International journal of human computer interactions · doi:10.1080/10447318.2024.2381929 · Cited by 39
Vincenzi, D. A., Valimont, B., Macchiarella, N. D., Opalenik, C., Gangadharan, S. N., & Majoros, A. E. (2003) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120304701909 · Cited by 36
Impact of Task on Attentional Tunneling in Handheld Augmented Reality
Syiem, B. V., Kelly, R., Gonçalves, J., Velloso, E., & Dingler, T. (2021) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3411764.3445580 · Cited by 43
Intelligent autonomous agents and trust in virtual reality
Sun, N., & Botev, J. (2021) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2021.100146 · Cited by 36
L'ergonomie de la réalité augmentée pour l'apprentissage : une revue
Anastassova, M., Burkhardt, J., Mégard, C., & Ehanno, P. (2007) · Le travail humain · doi:10.3917/th.702.0097 · Cited by 33
Effects of the Advisor and Environment on Requesting and Complying With Automated Advice
Sutherland, S. C., Harteveld, C., & Young, M. E. (2016) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/2905370 · Cited by 35
Xu, X., Wickens, C. D., & Rantanen, E. M. (2006) · Ergonomics · doi:10.1080/00140130601002658 · Cited by 32
Self-citationMaking Unreliable Automation Useful
John, M. S., & Manes, D. I. (2002) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120204600325 · Cited by 31
Chavaillaz, A., Schwaninger, A., Michel, S., & Sauer, J. (2018) · Ergonomics · doi:10.1080/00140139.2018.1481231 · Cited by 25
Robotics operator performance in a military multi-tasking environment
Chen, J. Y. C., & Barnes, M. J. (2008) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/1349822.1349859 · Cited by 30
Effects of an in-car augmented reality system on improving safety of younger and older drivers
Fu, W., Gasper, J., & Kim, S.-W. (2013) · Proceedings - International Symposium on Mixed and Augmented Reality, ISMAR · doi:10.1109/ismar.2013.6671764 · Cited by 28
Situation awareness as judgment II: Experimental demonstration
Strauss, R., & Kirlik, A. (2006) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2006.01.010 · Cited by 26
Evaluation of AR-HUD Interface During an Automated Intervention in Manual Driving
Karatas, N., Tanaka, T., Fujikakc, K., Yoshihara, Y., Kanamori, H., Fuwamoto, Y., & Yoshida, M. (2020) · IEEE Intelligent Vehicles Symposium · doi:10.1109/iv47402.2020.9304610 · Cited by 26
Ferraro, J. C., & Mouloua, M. (2020) · Applied Ergonomics · doi:10.1016/j.apergo.2020.103303 · Cited by 28
Goh, J., Wiegmann, D. A., & Madhavan, P. (2005) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120504900359 · Cited by 25
Adaptive Visual Assistance System for Enhancing the Driver Awareness of Pedestrians
Frémont, V., Phan, M. T., & Thouvenin, I. (2019) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2019.1698220 · Cited by 23
Enhancing the effectiveness of human-robot teaming with a closed-loop system
Teo, G. W. L., Reinerman-Jones, L., Matthews, G., Szalma, J. L., Jentsch, F. G., & Hancock, P. A. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.07.007 · Cited by 23
Gontar, P., Homans, H., Rostalski, M., Behrend, J., Dehais, F., & Bengler, K. J. (2018) · Journal of Air Transport Management · doi:10.1016/j.jairtraman.2018.01.004 · Cited by 23
Using PPT to Analyze Suboptimal Human–Automation Performance
Rice, S. C., Trafimow, D., & Hunt, G. (2010) · The Journal of general psychology · doi:10.1080/00221301003645236 · Cited by 27
Unmanned Aerial Vehicles for Maritime Patrol: Human Factors Issues
Hopcroft, R., Burchat, E., & Vince, J. P. (2006) · Defense Technical Information Center (DTIC) · Cited by 22
Huang, J., Choo, S., Pugh, Z. H., & Nam, C. S. (2021) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720820987443 · Cited by 21
Warden, A. C., Wickens, C. D., Rehberg, D., Ortega, F. R., & Clegg, B. A. (2023) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2023.3302152 · Cited by 24
Self-citationMuthard, E. K., & Wickens, C. D. (2003) · Cited by 21
Self-citationApplying the swift trust model to human-robot teaming
Haring, K. S., Phillips, E. K., Lazzara, E. H., Ullman, D. L., Baker, A. L., & Keebler, J. R. (2020) · Elsevier eBooks · doi:10.1016/b978-0-12-819472-0.00017-4 · Cited by 20
Herse, S., Vitale, J., & Williams, M. (2023) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2150691 · Cited by 21
Target Detection and Identification Performance Using an Automatic Target Detection System
Reiner, A. J., Hollands, J. G., & Jamieson, G. (2017) · Hum. Factors · doi:10.1177/0018720816670768 · Cited by 20
Visual Search in Augmented Reality: Effect of Target Cue Type and Location
Warden, A. C., Wickens, C. D., Mifsud, D. M., Ourada, S., Clegg, B. A., & Ortega, F. R. (2022) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181322661260 · Cited by 19
Self-citationKwee-Meier, S. T., Mertens, A., & Jeschke, S. (2019) · Fire Safety Journal · doi:10.1016/j.firesaf.2019.102888 · Cited by 18
Battery electric vehicles – implications for the driver interface
Neumann, I., & Krems, J. F. (2015) · Ergonomics · doi:10.1080/00140139.2015.1078914 · Cited by 17
Autonomy and Automation Reliability in Human-Robot Interaction: A Qualitative Review
Johnson, R. C., Saboe, K. N., Prewett, M. S., Coovert, M. D., & Elliott, L. R. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905301849 · Cited by 16
The Effect of Pilot Visual Scanning Strategies on Traffic Detection Accuracy and Aircraft Control
Talleur, D. A., & Wickens, C. D. (2003) · Cited by 15
Self-citationAdvanced Display Concepts for Uav Sensor Operations: Landmark Cues and Picture-in-Picture
Calhoun, G. L., Draper, M. H., Nelson, J. T., & Ruff, H. A. (2006) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120605000126 · Cited by 15
Rowen, A., Grabowski, M., & Rancy, J.-P. (2019) · IEEE Transactions on Human-Machine Systems · doi:10.1109/thms.2019.2944384 · Cited by 13
Wischnewski, M., Krämer, N. C., Janiesch, C., Müller, E., Schnitzler, T., & Newen, C. (2024) · Human-Machine Communication · doi:10.30658/hmc.8.7 · Cited by 14
Horrey, W. J., & Wickens, C. D. (2001) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120104500411 · Cited by 13
Self-citationThe Role of Environmental Predictability and Costs in Relying on Automation
Sutherland, S. C., Harteveld, C., & Young, M. E. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702609 · Cited by 12
Raikwar, A., Mifsud, D. M., Wickens, C. D., Batmaz, A. U., Warden, A. C., Kelley, B., Clegg, B. A., & Ortega, F. R. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2024.3372062 · Cited by 12
Self-citationZhang, N., Yan, Y., & Suzuki, R. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713293 · Cited by 16
Trust in haptic assistance: weighting visual and haptic cues based on error history
Gibo, T. L., Mugge, W., & Abbink, D. A. (2017) · Experimental Brain Research · doi:10.1007/s00221-017-4986-4 · Cited by 11
Using Trust to Determine User Decision Making & Task Outcome During a Human-Agent Collaborative Task
Herse, S., Vitale, J., Johnston, B., & Williams, M.-A. (2021) · IEEE/ACM International Conference on Human-Robot Interaction · doi:10.1145/3434073.3444673 · Cited by 17
Augmented Reality Based Traffic Sign Recognition for Improved Driving Safety
Abdi, L., Meddeb, A., & Abdallah, F. B. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-17765-6_9 · Cited by 12
Visual and Haptic Guidance for Enhancing Target Search Performance in Dual-Task Settings
Wang, G., Wang, H.-H., & Ren, G. (2024) · Applied Sciences · doi:10.3390/app14114650 · Cited by 10
On The Security of Mobile Cockpit Information Systems
Lundberg, D. A., Farinholt, B., Sullivan, E., Mast, R., Checkoway, S., Savage, S., Snoeren, A. C., & Levchenko, K. (2014) · ACM SIGSAC Conference on Computer and Communications Security (CCS) · doi:10.1145/2660267.2660375 · Cited by 11
Framing the Human Dimension in Cybersecurity
Nixon, J., & McGuinness, B. (2013) · ICST Transactions on Security and Safety · doi:10.4108/trans.sesa.01-06.2013.e2 · Cited by 10
A content analysis of studies published in the field of augmented reality in education
TURHAN, M. E., Metin, M., & Çevik, E. E. (2022) · Journal of Educational Technology and Online Learning · doi:10.31681/jetol.925340 · Cited by 13
Evidence Report, Risk of Inadequate Design of Human and Automation/Robotic Integration
Zumbado, J. R., Billman, D. O., Feary, M., & Green, C. (2011) · NASA Technical Reports Server (NASA) · Cited by 9
Design of human centered augmented reality for managing chronic health conditions
McLaughlin, A. C., Matalenas, L. A., & Coleman, M. G. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-811272-4.00011-7 · Cited by 9
Automated and Interactive Real‐Time Systems
Lorenz, B. W. J., & Parasuraman, R. (2007) · Wiley eBooks · doi:10.1002/9780470713181.ch16 · Cited by 9
Design for Human-Automation and Human-Autonomous Systems
Lee, J. D., & Seppelt, B. (2023) · Springer handbooks · doi:10.1007/978-3-030-96729-1_19 · Cited by 8
Buwaider, A., El-Hajj, V. G., Iop, A., Romero, M., Jean, W. C., Edström, E., & Terander, A. E. (2024) · Virtual Reality · doi:10.1007/s10055-024-01033-9 · Cited by 8
A Closer Look at Warning Cues on the Sustained Attention to Response Task Performance
Dang, J. A., Shaw, T. H., McKnight, P. E., & Helton, W. (2022) · Hum. Factors · doi:10.1177/00187208211060708 · Cited by 9
Müller, R., Reindel, D. F., & Stadtfeld, Y. D. (2023) · Human Factors and Ergonomics in Manufacturing & Service Industries · doi:10.1002/hfm.21032 · Cited by 6
On the Go with AR: Attention to Virtual and Physical Targets while Varying Augmentation Density
Kim, Y.-J., Kumaran, R., Luo, J., Bullock, T., Giesbrecht, B., & Höllerer, T. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714289 · Cited by 7
Adopting AR wayfinding in heritage tourism: extending the UTAUT in cultural contexts
Wang, F., Peng, X., Wang, Y., Fan, W., Wang, K., & Du, Y. (2025) · npj Heritage Science · doi:10.1038/s40494-025-02069-z · Cited by 10
The Effectiveness of Gaze Guidance Lines in supporting JTAC’s Attention Allocation
Mifsud, D. M., Wickens, C. D., Maulbeck, M., Crane, P. M., & Ortega, F. R. (2022) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181322661143 · Cited by 7
Self-citationWorkload in Human-Robot Interaction: A Review of Manipulations and Outcomes
Prewett, M. S., Saboe, K. N., Johnson, R. C., Coovert, M. D., & Elliott, L. R. (2009) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120905301848 · Cited by 7
Metadata
- Authors
- Yeh, M., & Wickens, C. D.
- Affiliations
- Mitre (United States) (US)
- University of Illinois Urbana-Champaign (US)
- Venue
- Human Factors: The Journal of the Human Factors and Ergonomics Society
- Publisher
- SAGE Publications
- Published
- 2001-09
- Volume
- 43
- Issue
- 3
- Pages
- 355-365
- ISSN
- 0018-7208 (ISSN-L)
- 1547-8181
- OpenAlex
- W2129001561
- Cited by
- 175
- References
- 21
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 12 · 2023: 9 · 2022: 11 · 2021: 9 · 2020: 7 · 2019: 6 · 2018: 8 · 2017: 11 · 2016: 5 · 2015: 9 · 2014: 4 · 2013: 5 · 2012: 11
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Factors The Journal of the Human Factors and Ergonomics Society (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Army Research Laboratory (DAAL01-96-2-0003)
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Augmented Reality Applications
- Physical Sciences › Computer Science › Human-Computer Interaction › Interactive and Immersive Displays
- Keywords
- augmented reality, cue reliability, photorealism, attention allocation, trust calibration, attentional tunneling, automatic target recognition, target detection, military personnel
- MeSH terms
- Adult, Analysis of Variance, Attention, Computer Graphics, Cues, Data Display, Female, Humans, Male, Military Personnel, Reaction Time, Sensitivity and Specificity, Task Performance and Analysis, User-Computer Interface, Visual Perception, Reproducibility of Results
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
