The DOI matches its Crossref record; 183 of the 183 references it cites were found in a registry or an index.
We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines
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
“When interacting with a machine, people respond less emotionally, feeling less guilt about being ungenerous (52).”
From The impact of generative artificial intelligence on socioeconomic inequalities and policy making (2024) · cites this paper as [52]
Citations
Cites
The integrative review: updated methodology
Whittemore, R., & Knafl, K. (2005) · Journal of Advanced Nursing · doi:10.1111/j.1365-2648.2005.03621.x · Cited by 10,241
“Why Should I Trust You?”: Explaining the Predictions of Any Classifier
Ribeiro, M., Singh, S., & Guestrin, C. (2016) · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations · doi:10.18653/v1/n16-3020 · Cited by 6,682
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
The Narrative Construction of Reality
Bruner, J. (1991) · Critical Inquiry · doi:10.1086/448619 · Cited by 5,728
Lipton, Z. C. (2018) · Queue · doi:10.1145/3236386.3241340 · Cited by 5,427
Behavioral Study of obedience.
Milgram, S. (1963) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0040525 · Cited by 4,918
(1997) · Choice Reviews Online · doi:10.5860/choice.34-3702 · Cited by 4,872
Humans 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
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022
The neural basis of economic decision-making in the Ultimatum Game.
Sanfey, A. G., Rilling, J. K., Aronson, J. A., Nystrom, L. E., & Cohen, J. D. (2003) · Science · doi:10.1126/science.1082976 · Cited by 3,375
An Experimental Study of Apparent Behavior
Heider, F., & Simmel, M. (1944) · The American Journal of Psychology · doi:10.2307/1416950 · Cited by 3,340
Algorithm aversion: People erroneously avoid algorithms after seeing them err.
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2015) · Journal of Experimental Psychology: General · doi:10.1037/xge0000033 · Cited by 3,232
Bystander intervention in emergencies: Diffusion of responsibility.
Darley, J. M., & Latane, B. (1968) · Journal of Personality and Social Psychology · doi:10.1037/h0025589 · Cited by 3,083
Human trust in artificial intelligence: Review of empirical research
Glikson, E., & Woolley, A. W. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0057 · Cited by 2,921
Gray, H. M., Gray, K., & Wegner, D. M. (2007) · Science · doi:10.1126/science.1134475 · Cited by 2,342
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Mark, G., Fussell, S. R., Lampe, C., Schraefel, M., Hourcade, J., Appert, C., & Wigdor, D. J. (2017) · International Conference on Human Factors in Computing Systems · doi:10.1145/3025453 · Cited by 2,222
Clinical versus statistical prediction: A theoretical analysis and a review of the evidence.
Meehl, P. E. (1954) · University of Minnesota Press eBooks · doi:10.1037/11281-000 · Cited by 2,187
Algorithm appreciation: People prefer algorithmic to human judgment
Logg, J. M., Minson, J. A., & Moore, D. A. (2019) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2018.12.005 · Cited by 2,061
Resistance to Medical Artificial Intelligence
Longoni, C., Bonezzi, A., & Morewedge, C. K. (2019) · Journal of Consumer Research · doi:10.1093/jcr/ucz013 · Cited by 2,015
The Neural Basis of Mentalizing
Frith, C. D., & Frith, U. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.001 · Cited by 1,855
Complacency and Bias in Human Use of Automation: An Attentional Integration
Parasuraman, R., & Manzey, D. H. (2010) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720810376055 · Cited by 1,710
The mind in the machine: Anthropomorphism increases trust in an autonomous vehicle
Waytz, A., Heafner, J., & Epley, N. (2014) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2014.01.005 · Cited by 1,439
Rahwan, I., Cebrian, M., Obradovich, N., Bongard, J., Bonnefon, J.-F., Breazeal, C., Crandall, J. W., Christakis, N. A., Couzin, I. D., Jackson, M. O., et al. (2019) · Nature · doi:10.1038/s41586-019-1138-y · Cited by 1,364
Lee, M. K. (2018) · Big Data & Society · doi:10.1177/2053951718756684 · Cited by 1,338
Mas, A., & Moretti, E. (2009) · American Economic Review · doi:10.1257/aer.99.1.112 · Cited by 1,280
Luo, X., Tong, S., Fang, Z., & Qu, Z. (2019) · Marketing Science · doi:10.1287/mksc.2019.1192 · Cited by 1,262
Dietvorst, B. J., Simmons, J. P., & Massey, C. (2018) · Management Science · doi:10.1287/mnsc.2016.2643 · Cited by 1,230
Mende, M., Scott, M. L., van Doorn, J., Grewal, D., & Shanks, I. (2019) · Journal of Marketing Research · doi:10.1177/0022243718822827 · Cited by 1,197
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
Testing for Altruism and Social Pressure in Charitable Giving
DellaVigna, S., List, J. A., & Malmendier, U. (2012) · The Quarterly Journal of Economics · doi:10.1093/qje/qjr050 · Cited by 1,080
Human Decisions and Machine Predictions
Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2018) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx032 · Cited by 1,040
MUIR, B. M., & MORAY, N. (1996) · Ergonomics · doi:10.1080/00140139608964474 · Cited by 993
A functional imaging study of cooperation in two-person reciprocal exchange
McCabe, K., Houser, D., Ryan, L., Smith, V., & Trouard, T. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.211415698 · Cited by 984
It's only a computer: virtual humans increase willingness to disclose
Lucas, G. M., Gratch, J., King, A., & Morency, L.-P. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.04.043 · Cited by 977
Feeling robots and human zombies: Mind perception and the uncanny valley
Gray, K., & Wegner, D. M. (2012) · Cognition · doi:10.1016/j.cognition.2012.06.007 · Cited by 941
Performance Consequences of Automation-Induced 'Complacency'
Parasuraman, R., Molloy, R., & Singh, I. L. (1993) · The International Journal of Aviation Psychology · doi:10.1207/s15327108ijap0301_1 · Cited by 875
(2018) · AEA Papers and Proceedings · doi:10.1257/pandp · Cited by 872
Proceedings of the 18th European conference on information systems (ECIS2010)
Tervonen, T., Brock, D. B., Graeff, D. P., & Hillege, H. L. (2010) · Cited by 836
A systematic review of algorithm aversion in augmented decision making
Burton, J. W., Stein, M., & Jensen, T. B. (2020) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2155 · Cited by 814
Matching robot appearance and behavior to tasks to improve human-robot cooperation
Goetz, J. L., Kiesler, S. B., & Powers, A. (2004) · doi:10.1109/roman.2003.1251796 · Cited by 785
People are averse to machines making moral decisions.
Bigman, Y. E., & Gray, K. (2018) · Cognition · doi:10.1016/j.cognition.2018.08.003 · Cited by 738
Does automation bias decision-making?
SKITKA, L. J., MOSIER, K. L., & BURDICK, M. (1999) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1999.0252 · Cited by 694
Are Machines Gender Neutral? Gender‐Stereotypic Responses to Computers With Voices
Nass, C., Moon, Y., & Green, N. (1997) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1997.tb00275.x · Cited by 670
A Virtual Reprise of the Stanley Milgram Obedience Experiments
Slater, M., Antley, A., Davison, A. R., Swapp, D., Guger, C., Barker, C., Pistrang, N., & Sanchez-Vives, M. V. (2006) · PLoS ONE · doi:10.1371/journal.pone.0000039 · Cited by 632
How Much Information?: Effects of Transparency on Trust in an Algorithmic Interface
Kizilcec, R. F. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858402 · Cited by 615
Anthropomorphism: Opportunities and Challenges in Human–Robot Interaction
Złotowski, J. A., Proudfoot, D., Yogeeswaran, K., & Bartneck, C. (2014) · International Journal of Social Robotics · doi:10.1007/s12369-014-0267-6 · Cited by 603
Newman, D. T., Fast, N. J., & Harmon, D. J. (2020) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2020.03.008 · Cited by 550
Human Decisions and Machine Predictions
Kleinberg, J., Lakkaraju, H., Leskovec, J., Ludwig, J., & Mullainathan, S. (2017) · doi:10.3386/w23180 · Cited by 545
Nass, C., Fogg, B. J., & Moon, Y. (1996) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1996.0073 · Cited by 536
(2014) · Digital Commons at University of Maryland Carey Law (University of Maryland Francis King Carey School of Law) · Cited by 524
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
(2010) · PsycEXTRA Dataset · doi:10.1037/e578662012-001 · Cited by 522
Using psychophysiological techniques to measure user experience with entertainment technologies
Mandryk, R. L., Inkpen, K. M., & Calvert, T. W. (2006) · Behaviour and Information Technology · doi:10.1080/01449290500331156 · Cited by 516
Avoiding the Ask: A Field Experiment on Altruism, Empathy, and Charitable Giving
James Andreoni, A., Rao, J. M., & Trachtman, H. (2017) · Journal of Political Economy · doi:10.1086/691703 · Cited by 495
Establishing the computer-patient working alliance in automated health behavior change interventions
Bickmore, T., Gruber, A., & Picard, R. (2005) · Patient Education and Counseling · doi:10.1016/j.pec.2004.09.008 · Cited by 494
Can Machines Think? Interaction and Perspective Taking with Robots Investigated via fMRI
Krach, S., Hegel, F., Wrede, B., Sagerer, G., Binkofski, F., & Kircher, T. T. J. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002597 · Cited by 490
Tay, B., Jung, Y., & Park, T. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.05.014 · Cited by 490
Thompson, S. G., & Pocock, S. (1991) · The Lancet · doi:10.1016/0140-6736(91)91975-z · Cited by 489
(S)he's Got the Look: Gender Stereotyping of Robots 1
EYSSEL, F., & HEGEL, F. (2012) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.2012.00937.x · Cited by 487
Affective state and decision-making in the Ultimatum Game
Wout‐Frank, M. V. ‘., Kahn, R. S., Sanfey, A. G., & Aleman, A. (2006) · Experimental Brain Research · doi:10.1007/s00221-006-0346-5 · Cited by 463
A Right to Reasonable Inferences: Re-Thinking Data Protection Law in the Age of Big Data and AI
Wachter, S., & Mittelstadt, B. (2018) · doi:10.31228/osf.io/mu2kf · Cited by 463
Making sense of recommendations
Yeomans, M., Shah, A., Mullainathan, S., & Kleinberg, J. (2019) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2118 · Cited by 459
Accountability of AI Under the Law: The Role of Explanation
Doshi-Velez, F., Kortz, M., Budish, R., Bavitz, C., Gershman, S. J., O'Brien, D., Scott, K., Shieber, S., Waldo, J., Weinberger, D., et al. (2017) · doi:10.2139/ssrn.3064761 · Cited by 457
Creating Rapport with Virtual Agents
Gratch, J., Wang, N., Gerten, J., Fast, E., & Duffy, R. (2007) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-74997-4_12 · Cited by 419
Köbis, N., & Mossink, L. D. (2021) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106553 · Cited by 406
“It doesn’t matter what you are!” Explaining social effects of agents and avatars
von der Pütten, A. M., Krämer, N. C., Gratch, J., & Kang, S.-H. (2010) · Computers in Human Behavior · doi:10.1016/j.chb.2010.06.012 · Cited by 389
The Perceived Utility of Human and Automated Aids in a Visual Detection Task
Dzindolet, M. T., Pierce, L. G., Beck, H. P., & Dawe, L. A. (2002) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/0018720024494856 · Cited by 386
Neural correlates of depth of strategic reasoning in medial prefrontal cortex
Coricelli, G., & Nagel, R. (2009) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.0807721106 · Cited by 385
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
The relative influence of advice from human experts and statistical methods on forecast adjustments
Önkal, D., Goodwin, P., Thomson, M. E., Gonul, M. S., & Pollock, A. C. (2009) · Journal of Behavioral Decision Making · doi:10.1002/bdm.637 · Cited by 331
Accountability and automation bias
SKITKA, L. J., MOSIER, K., & BURDICK, M. D. (2000) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1999.0349 · Cited by 324
When shall we use our heads instead of the formula?
Meehl, P. E. (1957) · Journal of Counseling Psychology · doi:10.1037/h0047554 · Cited by 310
An Experimental Study on Emotional Reactions Towards a Robot
Pütten, A. M. R.-V. D., Krämer, N. C., Hoffmann, L., Sobieraj, S., & Eimler, S. C. (2012) · International Journal of Social Robotics · doi:10.1007/s12369-012-0173-8 · Cited by 308
Understanding algorithm aversion: When is advice from automation discounted?
Prahl, A., & Van Swol, L. (2017) · Journal of Forecasting · doi:10.1002/for.2464 · Cited by 308
Effects of Imperfect Automation on Decision Making in a Simulated Command and Control Task
Rovira, E. M., McGarry, K. A., & Parasuraman, R. (2007) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872007779598082 · Cited by 289
Manzey, D., Reichenbach, J., & Onnasch, L. (2012) · Journal of Cognitive Engineering and Decision Making · doi:10.1177/1555343411433844 · Cited by 277
Dietvorst, B. J., & Bharti, S. (2020) · Psychological Science · doi:10.1177/0956797620948841 · Cited by 275
Physical Human–Robot Interaction
Haddadin, S., & Croft, E. A. (2016) · Springer handbooks · doi:10.1007/978-3-319-32552-1_69 · Cited by 268
Hoffman, M., Kahn, L. B., & Li, D. (2018) · The Quarterly Journal of Economics · doi:10.1093/qje/qjx042 · Cited by 261
Decision-making authority, team efficiency and human worker satisfaction in mixed human–robot teams
Gombolay, M., Gutierrez, R. A., Clarke, S. G., Sturla, G. F., & Shah, J. (2015) · Autonomous Robots · doi:10.1007/s10514-015-9457-9 · Cited by 258
Crandall, J. W., Oudah, M., Tennom, Ishowo-Oloko, F., Abdallah, S., Bonnefon, J., Cebrián, M., Shariff, A., Goodrich, M. A., & Rahwan, I. (2018) · Nature Communications · doi:10.1038/s41467-017-02597-8 · Cited by 254
Social Robots on a Global Stage: Establishing a Role for Culture During Human–Robot Interaction
Lim, V., Rooksby, M., & Cross, E. S. (2020) · International Journal of Social Robotics · doi:10.1007/s12369-020-00710-4 · Cited by 252
To err is robot: how humans assess and act toward an erroneous social robot
Mirnig, N., Stollnberger, G., Miksch, M., Stadler, S., Giuliani, M., & Tscheligi, M. (2017) · Frontiers in Robotics and AI · doi:10.3389/frobt.2017.00021 · Cited by 244
Promberger, M., & Baron, J. (2006) · Journal of Behavioral Decision Making · doi:10.1002/bdm.542 · Cited by 242
Lim, S., & Reeves, B. (2010) · Int. J. Hum. Comput. Stud. · doi:10.1016/j.ijhcs.2009.09.008 · Cited by 226
Bad machines corrupt good morals
Köbis, N., Bonnefon, J., & Rahwan, I. (2021) · Nature Human Behaviour · doi:10.1038/s41562-021-01128-2 · Cited by 225
Metzger, U., & Parasuraman, R. (2005) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/0018720053653802 · Cited by 217
Who should i blame? effects of autonomy and transparency on attributions in human-robot interaction
Kim, T., & Hinds, P. (2006) · ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication · doi:10.1109/roman.2006.314398 · Cited by 217
“Who’s Johnny?” Anthropomorphic Framing in Human–Robot Interaction, Integration, and Policy
Darling, K. (2017) · Oxford University Press eBooks · doi:10.1093/oso/9780190652951.003.0012 · Cited by 216
AI as a moral crumple zone: The effects of AI-mediated communication on attribution and trust
Hohenstein, J., & Jung, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106190 · Cited by 212
Sarter, N. B., & Schroeder, B. (2001) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872001775870403 · Cited by 195
Assessing Risk Assessment in Action
Stevenson, M. (2018) · Minnesota Law Review · doi:10.24926/265535.958 · Cited by 193
No fair!! An interaction with a cheating robot
Short, E., Hart, J., Vu, M., & Scassellati, B. (2010) · 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1109/hri.2010.5453193 · Cited by 193
Waytz, A. G., & Norton, M. I. (2014) · Emotion · doi:10.1037/a0036054 · Cited by 188
Behavioural evidence for a transparency–efficiency tradeoff in human–machine cooperation
Ishowo-Oloko, F., Bonnefon, J.-F., Soroye, Z., Crandall, J., Rahwan, I., & Rahwan, T. (2019) · Nature Machine Intelligence · doi:10.1038/s42256-019-0113-5 · Cited by 178
Complacency and Automation Bias in the Use of Imperfect Automation
Wickens, C. D., Clegg, B. A., Vieane, A. Z., & Sebok, A. L. (2015) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720815581940 · Cited by 176
Whose job is it anyway? A study of human-robot interaction in a collaborative task
Hinds, P., Roberts, T., & Jones, H. (2004) · Human-Computer Interaction · doi:10.1207/s15327051hci1901&2_7 · Cited by 173
Jago, A. S. (2017) · Academy of Management Discoveries · doi:10.5465/amd.2017.0002 · Cited by 172
Don't Blame the Computer: When Self-Disclosure Moderates the Self-Serving Bias
Moon, Y. (2003) · Journal of Consumer Psychology · doi:10.1207/153276603768344843 · Cited by 163
Autonomy and Common Ground in Human-Robot Interaction: A Field Study
Stubbs, K. N., HINDS, P. J., & Wettergreen, D. S. (2007) · IEEE Intelligent Systems · doi:10.1109/mis.2007.21 · Cited by 162
Computer Decision Support as a Source of Interpretation Error: The Case of Electrocardiograms
Tsai, T. L., Fridsma, D. B., & Gatti, G. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1279 · Cited by 161
Persuasiveness of expert systems
Dijkstra, J. J., Liebrand, W. B. G., & Timminga, E. (1998) · Behaviour & Information Technology · doi:10.1080/014492998119526 · Cited by 161
Why are we averse towards Algorithms? A comprehensive literature Review on Algorithm aversionPreprint
Jussupow, E., Benbasat, I., & Heinzl, A. (2020) · RePEc: Research Papers in Economics · Cited by 157
Vulnerable robots positively shape human conversational dynamics in a human–robot team
Traeger, M. L., Strohkorb Sebo, S., Jung, M., Scassellati, B., & Christakis, N. A. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1910402117 · Cited by 140
Economics, Fairness and Algorithmic BiasPreprint
Cowgill, B., & Tucker, C. E. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3361280 · Cited by 139
Are computers scapegoats? Attributions of responsibility in human–computer interaction
Moon, Y., & Nass, C. (1998) · International Journal of Human-Computer Studies · doi:10.1006/ijhc.1998.0199 · Cited by 129
Automation Bias and Errors: Are Crews Better Than Individuals?
Skitka, L. J., Mosier, K. L., Burdick, M., & Rosenblatt, B. (2000) · The International Journal of Aviation Psychology · doi:10.1207/s15327108ijap1001_5 · Cited by 127
Bartneck, C., Yogeeswaran, K., Ser, Q. M., Woodward, G., Sparrow, R., Wang, S., & Eyssel, F. (2018) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3171221.3171260 · Cited by 126
User agreement with incorrect expert system advice
Dijkstra, J. J. (1999) · Behaviour and Information Technology · doi:10.1080/014492999118832 · Cited by 124
Effects of incorrect computer-aided detection (CAD) output on human decision-making in mammography
Alberdi, E., Povyakalo, A., Strigini, L., & Ayton, P. (2004) · Academic Radiology · doi:10.1016/j.acra.2004.05.012 · Cited by 124
How do we think machines think? An fMRI study of alleged competition with an artificial intelligence
Chaminade, T., Rosset, D. B., Fonséca, D. D., Nazarian, B., Lutscher, E., Cheng, G., & Deruelle, C. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00103 · Cited by 119
Why do patients derogate physicians who use a computer-based diagnostic support system?
Shaffer, V. A., Probst, C. A., Merkle, E. C., Arkes, H. R., & Medow, M. A. (2013) · Medical Decision Making · doi:10.1177/0272989x12453501 · Cited by 115
Shank, D. B., DeSanti, A., & Maninger, T. (2019) · Information Communication & Society · doi:10.1080/1369118x.2019.1568515 · Cited by 114
Driver Acceptance of Unreliable Traffic Information in Familiar and Unfamiliar Settings
Kantowitz, B. H., Hanowski, R. J., & Kantowitz, S. C. (1997) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872097778543831 · Cited by 113
Rage against the machine: Automation in the moral domain
Gogoll, J., & Uhl, M. (2018) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2018.04.003 · Cited by 110
Patients Derogate Physicians Who Use a Computer-Assisted Diagnostic Aid
Arkes, H. R., Shaffer, V. A., & Medow, M. A. (2007) · Medical Decision Making · doi:10.1177/0272989x06297391 · Cited by 103
Slow response times undermine trust in algorithmic (but not human) predictions
Efendić, E., de Calseyde, P. P. F. M. V., & Evans, A. M. (2020) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2020.01.008 · Cited by 103
Bai, B., Dai, H., Zhang, D., Zhang, F., & Hu, H. (2020) · Manufacturing & Service Operations Management · doi:10.1287/msom.2022.1120 · Cited by 103
Adam, M. T. P., Krämer, J., & Muller, M. (2015) · Journal of Retailing · doi:10.1016/j.jretai.2015.01.003 · Cited by 99
Computer-Assisted Screening for Intimate Partner Violence and Control
Ahmad, F., Hogg‐Johnson, S., Stewart, D. E., Skinner, H. A., Glazier, R. H., & Levinson, W. S. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-151-2-200907210-00124 · Cited by 99
Does spell-checking software need a warning label?
Galletta, D. F., Durcikova, A., Everard, A., & Jones, B. (2005) · Communications of the ACM · doi:10.1145/1070838.1070841 · Cited by 93
Promises and trust in human–robot interaction
Cominelli, L., Feri, F., Garofalo, R., Giannetti, C., Meléndez-Jímenez, M. A., Greco, A., Nardelli, M., Scilingo, E. P., & Kirchkamp, O. (2021) · Scientific Reports · doi:10.1038/s41598-021-88622-9 · Cited by 91
Group-based Emotions in Teams of Humans and Robots
Correia, F., Mascarenhas, S. F., Prada, R., Melo, F. S., & Paiva, A. (2018) · ACM/IEEE International Conference on Human-Robot Interaction (HRI) · doi:10.1145/3171221.3171252 · Cited by 91
Trust in humans and robots: Economically similar but emotionally different
Schniter, E., Shields, T. W., & Sznycer, D. (2020) · Journal of Economic Psychology · doi:10.1016/j.joep.2020.102253 · Cited by 89
Service robot feature design effects on user perceptions and emotional responses
Zhang, T., KABER, D. B., Zhu, B., Neubert, M. S., Mosaly, P. R., & Hodge, L. (2010) · Intelligent Service Robotics · doi:10.1007/s11370-010-0060-9 · Cited by 88
Reducing algorithm aversion through experience
Filiz, I., Judek, J. R., Lorenz, M., & Spiwoks, M. (2021) · Journal of Behavioral and Experimental Finance · doi:10.1016/j.jbef.2021.100524 · Cited by 88
Briggs, G., & Scheutz, M. J. (2014) · International Journal of Social Robotics · doi:10.1007/s12369-014-0235-1 · Cited by 86
Galster, S. M., Duley, J. A., Masalonis, A. J., & Parasuraman, R. (2001) · International Journal of Aviation Psychology · doi:10.1207/s15327108ijap1101_5 · Cited by 86
Automated underwriting in mortgage lending: Good news for the underserved?
Gates, S., Perry, V. G., & Zorn, P. M. (2002) · Housing Policy Debate · doi:10.1080/10511482.2002.9521447 · Cited by 85
Teubner, T., Adam, M. T. P., & Riordan, R. (2015) · Journal of the Association for Information Systems · doi:10.17705/1jais.00412 · Cited by 77
Gaming and strategic opacity in incentive provision
Ederer, F. P., Holden, R., & Meyer, M. (2018) · The RAND Journal of Economics · doi:10.1111/1756-2171.12253 · Cited by 73
Lee, E. (2010) · Communication Research · doi:10.1177/0093650209356389 · Cited by 72
Humphreys, J. C., Tsoh, J. Y., Kohn, M. A., & Gerbert, B. (2010) · Women s Health Issues · doi:10.1016/j.whi.2010.09.006 · Cited by 68
Good advice is beyond all price, but what if it comes from a machine?
Hertz, N., & Wiese, E. (2019) · Journal of Experimental Psychology Applied · doi:10.1037/xap0000205 · Cited by 67
Blame Attribution Asymmetry in Human–Automation Cooperation
Liu, P., & Du, Y. L. (2021) · Risk Analysis · doi:10.1111/risa.13674 · Cited by 65
Electronic Checklists: Implications for Decision Making
Mosier, K. L., Palmer, E. A., & Degani, A. (1992) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193129203600104 · Cited by 63
Aircrews and automation bias: the advantages of teamwork?
Mosier, K. L., Skitka, L. J., Dunbar, M., & McDonnell, L. (2001) · The International Journal of Aviation Psychology · doi:10.1207/s15327108ijap1101_1 · Cited by 62
People Do Not Feel Guilty About Exploiting Machines
Melo, C. D., Marsella, S., & Gratch, J. S. (2016) · ACM Transactions on Computer-Human Interaction · doi:10.1145/2890495 · Cited by 59
Robot moderation of a collaborative game: Towards socially assistive robotics in group interactions
Short, E. S., & Matarić, M. J. (2017) · IEEE RO-MAN · doi:10.1109/roman.2017.8172331 · Cited by 53
Impact of Algorithmic Decision Making on Human Behavior: Evidence from Ultimatum Bargaining
Erlei, A., Nekdem, F., Meub, L., Anand, A., & Gadiraju, U. (2020) · Proceedings of the AAAI Conference on Human Computation and Crowdsourcing · doi:10.1609/hcomp.v8i1.7462 · Cited by 52
Robot abuse - a limitation of the media equation
Bartneck, C. (2018) · TU/e Research Portal · doi:10.17605/osf.io/4fxq6 · Cited by 51
Consumer reactions to professionals who use decision aids
Palmeira, M. M., & Spassova, G. (2015) · European Journal of Marketing · doi:10.1108/ejm-07-2013-0390 · Cited by 50
Hiring algorithms : An ethnography of fairness in practice
van den Broek, E., Sergeeva, A., & Huysman, M. (2019) · Data Archiving and Networked Services (DANS) · Cited by 50
Tay, B. T. C., Park, T., Jung, Y., Tan, Y. K., & Wong, A. H. Y. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39360-0_29 · Cited by 50
Improving human-human collaboration between children with a social robot
Sebo, S. S., Fukuto, E., Warren, N., Taylor, C., Berry, B., & Scassellati, B. M. (2016) · IEEE RO-MAN · doi:10.1109/roman.2016.7745172 · Cited by 50
Sharing responsibility with a machine
Kirchkamp, O., & Strobel, C. (2019) · Journal of Behavioral and Experimental Economics · doi:10.1016/j.socec.2019.02.010 · Cited by 46
Bubbles in hybrid markets: How expectations about algorithmic trading affect human trading
Farjam, M., & Kirchkamp, O. (2017) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2017.11.011 · Cited by 44
The Incentive Effect of Scores: Randomized Evidence from Credit Committees
Paravisini, D., & Antoinette Schoar, B. (2013) · National Bureau of Economic Research · doi:10.3386/w19303 · Cited by 41
Social reactions toward people vs. computers: How mere lables shape interactions
Aharoni, E., & Fridlund, A. J. (2007) · Computers in Human Behavior · doi:10.1016/j.chb.2006.02.019 · Cited by 35
Bahner, J. E., Elepfandt, M. F., & Manzey, D. (2008) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120805201906 · Cited by 35
Bai, B., Dai, H., Zhang, D., et al. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3550887 · Cited by 34
Naquin, C. E., & Kurtzberg, T. R. (2003) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2003.12.001 · Cited by 33
Pezzo, M. V., & Pezzo, S. P. (2006) · Medical Decision Making · doi:10.1177/0272989x05282644 · Cited by 33
Blurring the Line Between Human and Machine: Marketing Artificial Intelligence
Castelo, N. (2019) · doi:10.7916/d8-k7vk-0s40 · Cited by 30
International Conference on Human-Agent Interaction
(2023) · doi:10.1145/3623809 · Cited by 30
Why Are People’s Decisions Sometimes Worse with Computer Support?
Alberdi, E., Strigini, L., Povyakalo, A. A., & Ayton, P. (2009) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-04468-7_3 · Cited by 29
Alberdi, E., Povyakalo, A. A., Strigini, L., Ayton, P., & Given-Wilson, R. (2008) · International Journal of Computer Assisted Radiology and Surgery · doi:10.1007/s11548-008-0213-x · Cited by 28
How Humans Judge MachinesPreprint
Hidalgo, C. A., Orghian, D., Albó-Canals, J., de Almeida, F., & Martin, N. (2021) · CrimRxiv · doi:10.21428/cb6ab371.a6bc9cb4 · Cited by 24
How do Humans Interact with Algorithms? Experimental Evidence from Health Insurance
Bundorf, M. K., Polyakova, M., & Tai‐Seale, M. (2019) · National Bureau of Economic Research · doi:10.3386/w25976 · Cited by 23
Adam, M. T. P., Teubner, T., & Gimpel, H. (2018) · Group Decision and Negotiation · doi:10.1007/s10726-018-9579-5 · Cited by 22
Nitsch, V., & Glassen, T. (2015) · IEEE RO-MAN · doi:10.1109/roman.2015.7333560 · Cited by 22
CHI '97 Extended Abstracts on Human Factors in Computing Systems
Edwards, A., Association for Computing Machinery-Digital Library, ACM Special Interest Group on Computer-Human Interaction, & SIGs, A. (1997) · Cited by 21
The Managerial Effects of Algorithmic Fairness Activism
Cowgill, B., Dell’Acqua, F., & Matz, S. (2020) · AEA Papers and Proceedings · doi:10.1257/pandp.20201035 · Cited by 21
The Behavioral Economics of Artificial Intelligence: Lessons from Experiments with Computer PlayersPreprint
March, C. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3485475 · Cited by 21
The electronic mirror: Human-computer interaction and change in self-appraisals
Laere, K. H. D., Lundgren, D. C., & Howe, S. R. (1998) · Computers in Human Behavior · doi:10.1016/s0747-5632(97)00031-9 · Cited by 20
Tazelaar, F., & Snijders, C. C. P. (2004) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2004.11.004 · Cited by 17
Intelligent machines as social catalysts
Rahwan, I., Crandall, J. W., & Bonnefon, J. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002744117 · Cited by 15
The Chinese Approach to Artificial Intelligence: An Analysis of Policy and RegulationPreprint
Roberts, H., Cowls, J., Morley, J., Taddeo, M., Wang, V., & Floridi, L. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3469783 · Cited by 15
Me, You or AI? How do we Feel about Delegation.
Leyer, M., & Schneider, S. (2019) · Journal of the Association for Information Systems · Cited by 15
Metzger, U., Duley, J. A., Abbas, R., & Parasuraman, R. (2000) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/154193120004401104 · Cited by 13
Dell'Acqua, F., Kogut, B., & Perkowski, P. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3746564 · Cited by 5
The Economics of Babysitting a RobotPreprint
Alekseev, A. (2020) · SSRN Electronic Journal · doi:10.2139/ssrn.3656684 · Cited by 4
Europe plans to strictly regulate high-risk AI technology
(2020) · AAAS Articles DO Group · doi:10.1126/science.abb3741 · Cited by 3
Rac(g)e Against the Machine? Social Incentives When Humans Meet RobotsPreprint
Corgnet, B., Hérnan-Gonzalez, R., & Mateo, R. (2019) · RePEc: Research Papers in Economics · Cited by 3
The Hidden Costs of Automation:
Hubbard, A., & Submission, H. C. F. (1987) · Medical Reference Services Quarterly · doi:10.1300/j115v06n01_07 · Cited by 2
Essays on Social and Behavioral Aspects of Apparel Supply Chains
Cuenca, A. S. D. T. (2019) · Cited by 1
Research works printed but not linked: 5
- Feier, T., Gogoll, J., & Uhl, M. (2021). Hiding behind machines: When blame is shifted to artificial agents. arXiv preprint arXiv:2101.11465. · arXiv
- Lee, 2019, Procedural justice in algorithmic fairness: Leveraging transparency and outcome control for fair algorithmic mediation, Proceedings of the ACM on Human-Computer Interaction, 3, 1
- Miller, 2018, Want less – biased decisions? Use algorithms, Harvard Business Review, 26
- Shank, 2012, Perceived justice and reactions to coercive computers, vol. 27, 372
- Tan, S., Adebayo, J., Inkpen, K., & Kamar, E. (2018). Investigating human+ machine complementarity for recidivism predictions. arXiv preprint arXiv:1808.09123. · arXiv
Cited by
Sorted by citations
The impact of generative artificial intelligence on socioeconomic inequalities and policy making
Capraro, V., Lentsch, A., Acemoglu, D., Akgun, S., Akhmedova, A., Bilancini, E., Bonnefon, J.-F., Brañas-Garza, P., Butera, L., Douglas, K. M., et al. (2024) · PNAS Nexus · doi:10.1093/pnasnexus/pgae191 · Cited by 371
Three Challenges for AI-Assisted Decision-Making
Steyvers, M., & Kumar, A. (2024) · Perspectives on Psychological Science · doi:10.1177/17456916231181102 · Cited by 217
“However, many potential factors associated with this framework could affect the perceived control of the decision, which could in turn influence the human’s willingness to rely on the AI (Chugunova & Sele, 2022).”
Understanding Liability Risk from Using Health Care Artificial Intelligence Tools
Mello, M. M., & Guha, N. (2024) · New England Journal of Medicine · doi:10.1056/nejmhle2308901 · Cited by 155
Liu, F., & Lee, Y.-H. (2023) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103685 · Cited by 105
A new sociology of humans and machines
Tsvetkova, M., Yasseri, T., Pescetelli, N., & Werner, T. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-02001-8 · Cited by 122
“From fake social media accounts and generative artificial intelligence chatbots to trading algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and permeating our communication channels, social interactions, economic transactions and transportation arteries.”
Metadata
- Authors
- Chugunova, M., & Sele, D.
- Affiliations
- Max Planck Institute for Innovation and Competition (DE)
- ETH Zurich (CH)
- Corresponding author
- Chugunova, Marina
- Venue
- Journal of Behavioral and Experimental Economics
- Publisher
- Elsevier BV
- Published
- 2022-08
- Volume
- 99
- Pages
- 101897
- ISSN
- 2214-8043 (ISSN-L)
- OpenAlex
- W4281256336
- Cited by
- 118
- References
- 183
- Citations by year
- 2026: 21 · 2025: 45 · 2024: 27 · 2023: 24
- FWCI
- 22.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Behavioral and Experimental Economics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Keywords
- human-automation interaction, automated agents, trust in automation, decision-making power, algorithmic decision support, task context, performance expectations
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
