{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T23:47:59Z","timestamp":1780616879943,"version":"3.54.1"},"reference-count":169,"publisher":"American Society of Civil Engineers (ASCE)","issue":"3","content-domain":{"domain":["ascelibrary.org"],"crossmark-restriction":true},"short-container-title":["J. Comput. Civ. Eng."],"published-print":{"date-parts":[[2024,5]]},"DOI":"10.1061\/jccee5.cpeng-5656","type":"journal-article","created":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T12:43:41Z","timestamp":1709729021000},"update-policy":"https:\/\/doi.org\/10.1061\/do.news.20190416.0001","source":"Crossref","is-referenced-by-count":26,"title":["Toward a Framework for Trust Building between Humans and Robots in the Construction Industry: A Systematic Review of Current Research and Future Directions"],"prefix":"10.1061","volume":"38","author":[{"given":"Woei-Chyi","family":"Chang","sequence":"first","affiliation":[{"name":"Ph.D. Student, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sogand","family":"Hasanzadeh","sequence":"additional","affiliation":[{"name":"Assistant Professor, Lyles School of Civil Engineering, Purdue Univ., West Lafayette, IN 47907 (corresponding author)."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"30","reference":[{"key":"e_1_3_3_2_1","unstructured":"Abd M. A. I. Gonzalez M. Nojoumian and E. D. Engeberg. 2017. \u201cTrust satisfaction and frustration measurements during human-robot interaction.\u201d In Proc. 30th Florida Conf. on Recent Advances in Robotics. Boca Raton FL: Florida Atlantic Univ. College of Engineering and Computer Science."},{"key":"e_1_3_3_3_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9364(2002)128:5(427)"},{"key":"e_1_3_3_4_1","volume-title":"A framework for decentralised trust reasoning","author":"Abdul-Rahman A.","year":"2005","unstructured":"Abdul-Rahman, A. 2005. A framework for decentralised trust reasoning. London: Univ. College London."},{"key":"e_1_3_3_5_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CP.1943-5487.0001016"},{"key":"e_1_3_3_6_1","doi-asserted-by":"publisher","DOI":"10.2307\/3250951"},{"key":"e_1_3_3_7_1","unstructured":"Ahmad M. I. J. Bernotat K. Lohan and F. Eyssel. 2019. \u201cTrust and cognitive load during human-robot interaction.\u201d Preprint submitted September 11 2019. https:\/\/arxiv.org\/abs\/1909.05160."},{"key":"e_1_3_3_8_1","doi-asserted-by":"crossref","unstructured":"Ajenaghughrure I. B. S. C. Sousa I. J. Kosunen and D. Lamas. 2019. \u201cPredictive model to assess user trust: A psycho-physiological approach.\u201d In Proc. 10th Indian Conf. on Human-Computer Interaction. New York: Association for Computing Machinery.","DOI":"10.1145\/3364183.3364195"},{"key":"e_1_3_3_9_1","doi-asserted-by":"publisher","DOI":"10.3390\/mti4030063"},{"key":"e_1_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10514-017-9677-2"},{"key":"e_1_3_3_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132743"},{"key":"e_1_3_3_12_1","doi-asserted-by":"crossref","unstructured":"Akash K. W. L. Hu T. Reid and N. Jain. 2017. \u201cDynamic modeling of trust in human-machine interactions.\u201d In Proc. American Control Conf. 1542\u20131548. New York: IEEE.","DOI":"10.23919\/ACC.2017.7963172"},{"key":"e_1_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCS.2020.3019151"},{"key":"e_1_3_3_14_1","first-page":"315","volume-title":"Improving human-machine collaboration through transparency-based feedback\u2014Part I: Human trust and workload model","author":"Akash K.","year":"2019","unstructured":"Akash, K., K. Polson, T. Reid, and N. Jain. 2019. Improving human-machine collaboration through transparency-based feedback\u2014Part I: Human trust and workload model, 315\u2013321. Amsterdam, Netherlands: Elsevier."},{"key":"e_1_3_3_15_1","doi-asserted-by":"crossref","unstructured":"Albayram Y. T. Jensen M. M. H. Khan M. A. Al Fahim R. Buck and E. Coman. 2020. \u201cInvestigating the effects of (Empty) promises on human-automation interaction and trust repair.\u201d In Proc. 8th Int. Conf. on Human-Agent Interaction 6\u201314. New York: Association for Computing Machinery.","DOI":"10.1145\/3406499.3415064"},{"key":"e_1_3_3_16_1","unstructured":"Alomari M. H. A. Samaha and K. AlKamha. 2013. \u201cAutomated classification of L\/R hand movement EEG signals using advanced feature extraction and machine learning.\u201d Preprint submitted December 10 2013. https:\/\/arxiv.org\/abs\/1312.2877."},{"key":"e_1_3_3_17_1","doi-asserted-by":"crossref","unstructured":"Ardiny H. S. Witwicki and F. Mondada. 2015. \u201cConstruction automation with autonomous mobile robots: A review.\u201d In Proc. 3rd RSI Int. Conf. on Robotics and Mechatronics (ICROM) 418\u2013424. New York: IEEE.","DOI":"10.1109\/ICRoM.2015.7367821"},{"key":"e_1_3_3_18_1","doi-asserted-by":"publisher","DOI":"10.1515\/pjbr-2021-0029"},{"key":"e_1_3_3_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2018.2856272"},{"key":"e_1_3_3_20_1","doi-asserted-by":"crossref","unstructured":"Arts E. et al. 2020. \u201cExploring human-robot trust through the investment game: An immersive space mission scenario.\u201d In Proc. of the 8th Int. Conf. on Human-Agent Interaction 121\u2013130. New York: Association for Computing Machinery.","DOI":"10.1145\/3406499.3415078"},{"key":"e_1_3_3_21_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2017.03.003"},{"key":"e_1_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3181671"},{"key":"e_1_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/mar.21462"},{"key":"e_1_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8691.2010.00574.x"},{"key":"e_1_3_3_25_1","doi-asserted-by":"publisher","DOI":"10.4135\/9781452243610.n12"},{"key":"e_1_3_3_26_1","doi-asserted-by":"crossref","unstructured":"Billings D. R. K. E. Schaefer J. Y. C. Chen and P. A. Hancock. 2012. \u201cHuman-robot interaction.\u201d In Proc. 7th Annual ACM\/IEEE Int. Conf. on Human-Robot Interaction\u2013HRI \u201912 109. New York: Association for Computing Machinery.","DOI":"10.1145\/2157689.2157709"},{"key":"e_1_3_3_27_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2015.07.022"},{"key":"e_1_3_3_28_1","doi-asserted-by":"crossref","unstructured":"Brzowski M. and D. Nathan-Roberts. 2019. \u201cTrust measurement in human\u2013Automation interaction: A systematic review.\u201d In Proc. Human Factors and Ergonomics Society Annual Meeting. Thousand Oaks CA: SAGE.","DOI":"10.1177\/1071181319631462"},{"key":"e_1_3_3_29_1","doi-asserted-by":"crossref","unstructured":"Cai H. and Y. Lin. 2010. \u201cTuning trust using cognitive cues for better human-machine collaboration.\u201d In Proc. Human Factors and Ergonomics Society 2437\u20132441. Los Angeles: SAGE.","DOI":"10.1177\/154193121005402816"},{"key":"e_1_3_3_30_1","doi-asserted-by":"publisher","DOI":"10.1080\/21515581.2019.1579730"},{"key":"e_1_3_3_31_1","volume-title":"Designing and training for appropriate trust in increasingly autonomous advanced air mobility operations: A mental model approach version 1","author":"Chancey E.","year":"2020","unstructured":"Chancey, E., and M. Politowicz. 2020. Designing and training for appropriate trust in increasingly autonomous advanced air mobility operations: A mental model approach version 1. Washington, DC: NASA Technical Memorandum."},{"key":"e_1_3_3_32_1","unstructured":"Chang W.-C. A. Borowiak and S. Hasanzadeh. 2023a. \u201cThe importance of situational awareness in future construction work: Toward the effects of faulty robot trust and time pressure.\u201d In Proc. ASCE Int. Conf. on Computing in Civil Engineering. Reston VA: ASCE."},{"key":"e_1_3_3_33_1","doi-asserted-by":"crossref","unstructured":"Chang W.-C. S. M. Ryan S. Hasanzadeh and B. Esmaeili. 2023b. \u201cAttributing responsibility for performance failure on worker-robot trust in construction collaborative tasks.\u201d In Proc. European Conf. on Computing in Construction. Sint-Niklaas Belgium: European Council on Computing in Construction.","DOI":"10.35490\/EC3.2023.205"},{"key":"e_1_3_3_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-015-0333-8"},{"key":"e_1_3_3_35_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720811435843"},{"key":"e_1_3_3_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2022.105258"},{"key":"e_1_3_3_37_1","doi-asserted-by":"publisher","DOI":"10.1177\/00187208211009995"},{"key":"e_1_3_3_38_1","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2015.1070549"},{"key":"e_1_3_3_39_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)0733-9364(2004)130:4(542)"},{"key":"e_1_3_3_40_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720815587803"},{"key":"e_1_3_3_41_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-88622-9"},{"key":"e_1_3_3_42_1","doi-asserted-by":"crossref","unstructured":"Daronnat S. L. Azzopardi M. Halvey and M. Dubiel. 2020. \u201cImpact of agent reliability and predictability on trust in real time human-agent collaboration.\u201d In Proc. 8th Int. Conf. on Human-Agent Interaction 131\u2013139. New York: Association for Computing Machinery.","DOI":"10.1145\/3406499.3415063"},{"key":"e_1_3_3_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jobe.2019.100868"},{"key":"e_1_3_3_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2021.3115058"},{"key":"e_1_3_3_45_1","doi-asserted-by":"crossref","unstructured":"Desai M. P. Kaniarasu M. Medvedev A. Steinfeld and H. Yanco. 2013. \u201cImpact of robot failures and feedback on real-time trust.\u201d In Proc. 8th ACM\/IEEE Int. Conf. on Human-Robot Interaction (HRI) 251\u2013258. New York: IEEE.","DOI":"10.1109\/HRI.2013.6483596"},{"key":"e_1_3_3_46_1","doi-asserted-by":"crossref","unstructured":"Desai M. M. Medvedev M. V\u00e1zquez S. McSheehy S. Gadea-Omelchenko C. Bruggeman A. Steinfeld and H. Yanco. 2012. \u201cEffects of changing reliability on trust of robot systems.\u201d In Proc. 7th Annual ACM\/IEEE Int. Conf. on Human-Robot Interaction 73\u201380. New York: IEEE.","DOI":"10.1145\/2157689.2157702"},{"key":"e_1_3_3_47_1","doi-asserted-by":"publisher","DOI":"10.1177\/1555343411410160"},{"key":"e_1_3_3_48_1","doi-asserted-by":"crossref","unstructured":"de Visser E. J. M. Cohen A. Freedy and R. Parasuraman. 2014. \u201cA design methodology for trust cue calibration in cognitive agents.\u201d In Proc. Int. Conf. on Virtual Augmented and Mixed Reality 251\u2013262. New York: Springer.","DOI":"10.1007\/978-3-319-07458-0_24"},{"key":"e_1_3_3_49_1","doi-asserted-by":"publisher","DOI":"10.1037\/xap0000092"},{"key":"e_1_3_3_50_1","doi-asserted-by":"publisher","DOI":"10.1080\/00140139.2018.1457725"},{"key":"e_1_3_3_51_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-019-00596-x"},{"key":"e_1_3_3_52_1","doi-asserted-by":"crossref","unstructured":"Dizaji L. G. and Y. Hu. 2021. \u201cBuilding and measuring trust in human-machine systems.\u201d In Proc. IEEE Int. Conf. on Autonomous Systems (ICAS) 1\u20135. New York: IEEE.","DOI":"10.1109\/ICAS49788.2021.9551131"},{"key":"e_1_3_3_53_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s41693-018-0010-1","article-title":"Building robotics design for construction: Design considerations and principles for mobile systems","volume":"3","author":"Dritsas S.","year":"2019","unstructured":"Dritsas, S., and G. S. Soh. 2019. \u201cBuilding robotics design for construction: Design considerations and principles for mobile systems.\u201d Construct. Rob. 3 (Dec): 1\u201310. https:\/\/doi.org\/10.1007\/s41693-018-0010-1.","journal-title":"Construct. Rob."},{"key":"e_1_3_3_54_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720819862916"},{"key":"e_1_3_3_55_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2022.104298"},{"key":"e_1_3_3_56_1","doi-asserted-by":"crossref","unstructured":"Ezer N. S. Bruni Y. Cai S. J. Hepenstal C. A. Miller and D. D. Schmorrow. 2019. \u201cTrust engineering for human-AI teams.\u201d In Proc. Human Factors and Ergonomics Society Annual Meeting 322\u2013326. Thousand Oaks CA: SAGE.","DOI":"10.1177\/1071181319631264"},{"key":"e_1_3_3_57_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tics.2006.11.005"},{"key":"e_1_3_3_58_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ergon.2020.103078"},{"key":"e_1_3_3_59_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2018.00073"},{"key":"e_1_3_3_60_1","doi-asserted-by":"crossref","unstructured":"Gupta K. R. Hajika Y. S. Pai A. Duenser M. Lochner and M. Billinghurst. 2020. \u201cMeasuring human trust in a virtual assistant using physiological sensing in virtual reality.\u201d In Proc. IEEE Conf. on Virtual Reality and 3D User Interfaces (VR) 756\u2013765. New York: IEEE.","DOI":"10.1109\/VR46266.2020.00099"},{"key":"e_1_3_3_61_1","doi-asserted-by":"crossref","unstructured":"Hamacher A. N. Bianchi-Berthouze A. G. Pipe and K. Eder. 2016. \u201cBelieving in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-robot interaction.\u201d In Proc. 25th IEEE Int. Symp. on Robot and Human Interactive Communication (RO-MAN) 493\u2013500. New York: IEEE.","DOI":"10.1109\/ROMAN.2016.7745163"},{"issue":"3","key":"e_1_3_3_62_1","first-page":"24","article-title":"Can you trust your robot?","volume":"19","author":"Hancock P. A.","year":"2011","unstructured":"Hancock, P. A., D. R. Billings, and K. E. Schaefer. 2011a. \u201cCan you trust your robot?\u201d Ergon. Des. 19 (3): 24\u201329. https:\/\/doi.org\/10.1177\/1064804611415045.","journal-title":"Ergon. Des."},{"key":"e_1_3_3_63_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720811417254"},{"key":"e_1_3_3_64_1","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2019.1572353"},{"key":"e_1_3_3_65_1","doi-asserted-by":"crossref","unstructured":"Helldin T. G. Falkman M. Riveiro and S. Davidsson. 2013. \u201cPresenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving.\u201d In Proc. 5th Int. Conf. on Automotive User Interfaces and Interactive Vehicular Applications\u2013AutomotiveUI \u201913 210\u2013217. New York: Association for Computing Machinery.","DOI":"10.1145\/2516540.2516554"},{"key":"e_1_3_3_66_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720814547570"},{"key":"e_1_3_3_67_1","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2018.00861"},{"key":"e_1_3_3_68_1","first-page":"24","volume-title":"Lecture notes in civil engineering","author":"Hsu S. H.","year":"2021","unstructured":"Hsu, S. H., T. W. Chang, and C. M. Chang. 2021. \u201cConcrete surface crack segmentation based on deep learning.\u201d In Lecture notes in civil engineering, 24\u201334. Berlin: Springer."},{"key":"e_1_3_3_69_1","first-page":"48","volume-title":"Real-time sensing of trust in human-machine interactions","author":"Hu W. L.","year":"2016","unstructured":"Hu, W. L., K. Akash, N. Jain, and T. Reid. 2016. Real-time sensing of trust in human-machine interactions, 48\u201353. New York: Elsevier."},{"key":"e_1_3_3_70_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2018.2874188"},{"key":"e_1_3_3_71_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720820987443"},{"issue":"1","key":"e_1_3_3_72_1","first-page":"1","article-title":"Human\u2019s overtrust in and overreliance on advanced driver assistance systems: A theoretical framework","volume":"2013","author":"Inagaki T.","year":"2013","unstructured":"Inagaki, T., and M. Itoh. 2013. \u201cHuman\u2019s overtrust in and overreliance on advanced driver assistance systems: A theoretical framework.\u201d Int. J. Veh. Technol. 2013 (1): 1\u20138. https:\/\/doi.org\/10.1155\/2013\/951762.","journal-title":"Int. J. Veh. Technol."},{"key":"e_1_3_3_73_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10111-011-0195-2"},{"key":"e_1_3_3_74_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2019.05.006"},{"key":"e_1_3_3_75_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77163-8_7"},{"key":"e_1_3_3_76_1","doi-asserted-by":"publisher","DOI":"10.1207\/S15327566IJCE0401_04"},{"key":"e_1_3_3_77_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1722324"},{"key":"e_1_3_3_78_1","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2012.1"},{"key":"e_1_3_3_79_1","doi-asserted-by":"crossref","unstructured":"Kaniarasu P. A. Steinfeld M. Desai and H. Yanco. 2013. \u201cRobot confidence and trust alignment.\u201d In Proc. ACM\/IEEE Int. Conf. on Human-Robot Interaction 155\u2013156. New York: IEEE.","DOI":"10.1109\/HRI.2013.6483548"},{"key":"e_1_3_3_80_1","doi-asserted-by":"crossref","unstructured":"Kaniarasu P. and A. M. Steinfeld. 2014. \u201cEffects of blame on trust in human robot interaction.\u201d In Proc. 23rd IEEE Int. Symp. on Robot and Human Interactive Communication: Human-Robot Co-Existence: Adaptive Interfaces and Systems for Daily Life Therapy Assistance and Socially Engaging Interactions 850\u2013855. New York: IEEE.","DOI":"10.1109\/ROMAN.2014.6926359"},{"key":"e_1_3_3_81_1","unstructured":"Khavas Z. R. 2021. \u201cA review on trust in human-robot interaction.\u201d Preprint submitted May 20 2021. https:\/\/arxiv.org\/abs\/2105.10045."},{"key":"e_1_3_3_82_1","doi-asserted-by":"publisher","DOI":"10.1037\/0021-9010.89.1.104"},{"key":"e_1_3_3_83_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725838.2018.1561557"},{"key":"e_1_3_3_84_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apergo.2020.103056"},{"key":"e_1_3_3_85_1","doi-asserted-by":"crossref","unstructured":"Kohn S. C. D. Quinn R. Pak E. J. de Visser and T. H. Shaw. 2018. \u201cTrust repair strategies with self-driving vehicles: An exploratory study.\u201d In Proc. Human Factors and Ergonomics Society Annual Meeting 1108\u20131112. Los Angeles: SAGE. https:\/\/doi.org\/10.1177\/1541931218621254.","DOI":"10.1177\/1541931218621254"},{"key":"e_1_3_3_86_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00170-020-06398-0"},{"key":"e_1_3_3_87_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720819853686"},{"key":"e_1_3_3_88_1","doi-asserted-by":"crossref","unstructured":"Kulms P. and S. Kopp. 2019. \u201cMore human-likeness more trust? The effect of anthropomorphism on self-reported and behavioral trust in continued and interdependent human\u2013agent cooperation.\u201d In Proc. ACM Int. Conf. Proceeding Series 31\u201342. New York: Association for Computing Machinery.","DOI":"10.1145\/3340764.3340793"},{"key":"e_1_3_3_89_1","doi-asserted-by":"publisher","DOI":"10.1080\/00140139.2018.1547842"},{"key":"e_1_3_3_90_1","doi-asserted-by":"crossref","unstructured":"Lackey S. D. Barber L. Reinerman N. I. Badler and I. Hudson. 2011. \u201cDefining next-generation multi-modal communication in human robot interaction.\u201d In Proc. Factors and Ergonomics Society Annual Meeting 461\u2013464. Los Angeles: SAGE. https:\/\/doi.org\/10.1177\/1071181311551095.","DOI":"10.1177\/1071181311551095"},{"key":"e_1_3_3_91_1","doi-asserted-by":"publisher","DOI":"10.1080\/08995605.2012.672903"},{"key":"e_1_3_3_92_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-020-00624-1"},{"key":"e_1_3_3_93_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-819472-0.00002-2"},{"key":"e_1_3_3_94_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.trf.2021.06.013"},{"key":"e_1_3_3_95_1","doi-asserted-by":"publisher","DOI":"10.1518\/hfes.46.1.50.30392"},{"key":"e_1_3_3_96_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720814522830"},{"key":"e_1_3_3_97_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10447318.2023.2201555","article-title":"Modeling trust dimensions and dynamics in human-agent conversation: A trajectory epistemic network analysis approach","volume":"2023","author":"Li M.","year":"2023","unstructured":"Li, M., A. V. Kamaraj, and J. D. Lee. 2023. \u201cModeling trust dimensions and dynamics in human-agent conversation: A trajectory epistemic network analysis approach.\u201d Int. J. Hum.-Comput. Interact. 2023 (Apr): 1\u201312. https:\/\/doi.org\/10.1080\/10447318.2023.2201555.","journal-title":"Int. J. Hum.-Comput. Interact."},{"key":"e_1_3_3_98_1","doi-asserted-by":"crossref","unstructured":"Li R. Y. M. and D. P. L. Ng. 2018. \u201cWearable robotics industrial robots and construction worker\u2019s safety and health.\u201d In Proc. Int. Conf. on Applied Human Factors and Ergonomics 31\u201336. New York: Springer.","DOI":"10.1007\/978-3-319-60384-1_4"},{"key":"e_1_3_3_99_1","doi-asserted-by":"publisher","DOI":"10.1080\/15623599.2018.1452101"},{"key":"e_1_3_3_100_1","doi-asserted-by":"crossref","unstructured":"Liu H. and T. Hiraoka. 2019. \u201cDriving behavior model considering driver\u2019s over-trust in driving automation system.\u201d In Proc. 11th Int. Conf. on Automotive User Interfaces and Interactive Vehicular Applications: Adjunct 115\u2013119. New York: Association for Computing Machinery.","DOI":"10.1145\/3349263.3351525"},{"key":"e_1_3_3_101_1","doi-asserted-by":"crossref","unstructured":"Liu H. T. Hirayama and M. Watanabe. 2021. \u201cImportance of instruction for pedestrian-automated driving vehicle interaction with an external human machine interface: Effects on pedestrians\u2019 situation awareness trust perceived risks and decision making.\u201d In Proc. IEEE Intelligent Vehicles Symp. (IV) 748\u2013754. New York: IEEE.","DOI":"10.1109\/IV48863.2021.9575246"},{"key":"e_1_3_3_102_1","doi-asserted-by":"crossref","unstructured":"Lu Y. and N. Sarter. 2020. \u201cModeling and inferring human trust in automation based on real-time eye tracking data.\u201d In Proc. Human Factors and Ergonomics Society Annual Meeting 344\u2013348. Thousand Oaks CA: SAGE.","DOI":"10.1177\/1071181320641078"},{"key":"e_1_3_3_103_1","doi-asserted-by":"crossref","unstructured":"Lu Z. J. Guo S. Zeng and Q. Mao. 2020. \u201cResearch on human-machine dynamic trust based on alarm sequence.\u201d In Proc. 2nd World Symp. on Software Engineering 314\u2013320. New York: Association for Computing Machinery.","DOI":"10.1145\/3425329.3425389"},{"key":"e_1_3_3_104_1","doi-asserted-by":"publisher","DOI":"10.1080\/1463922X.2018.1491071"},{"key":"e_1_3_3_105_1","doi-asserted-by":"publisher","DOI":"10.1002\/aris.1440370111"},{"key":"e_1_3_3_106_1","doi-asserted-by":"crossref","unstructured":"Marsh S. and M. R. Dibben. 2005. \u201cTrust untrust distrust and mistrust\u2014An exploration of the dark(er) side.\u201d In Proc. Int. Conf. on Trust Management 17\u201333. Berlin: Springer.","DOI":"10.1007\/11429760_2"},{"key":"e_1_3_3_107_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2019.2947592"},{"issue":"4","key":"e_1_3_3_108_1","first-page":"1","article-title":"Human-robot collaboration in industrial applications: Safety, interaction and trust","volume":"14","author":"Maurtua I.","year":"2017","unstructured":"Maurtua, I., A. Ibarguren, J. Kildal, L. Susperregi, and B. Sierra. 2017. \u201cHuman-robot collaboration in industrial applications: Safety, interaction and trust.\u201d Int. J. Adv. Rob. Syst. 14 (4): 1\u201310. https:\/\/doi.org\/10.1177\/1729881417716010.","journal-title":"Int. J. Adv. Rob. Syst."},{"key":"e_1_3_3_109_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720811411912"},{"key":"e_1_3_3_110_1","doi-asserted-by":"publisher","DOI":"10.1518\/001872008X288574"},{"key":"e_1_3_3_111_1","doi-asserted-by":"publisher","DOI":"10.1093\/ptj\/89.9.873"},{"key":"e_1_3_3_112_1","doi-asserted-by":"publisher","DOI":"10.1080\/00140139408964957"},{"key":"e_1_3_3_113_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2021.3076131"},{"key":"e_1_3_3_114_1","doi-asserted-by":"crossref","unstructured":"Natarajan M. and M. Gombolay. 2020. \u201cEffects of anthropomorphism and accountability on trust in human robot interaction.\u201d In Proc. ACM\/IEEE Int. Conf. on Human-Robot Interaction 33\u201342. New York: IEEE.","DOI":"10.1145\/3319502.3374839"},{"issue":"3","key":"e_1_3_3_115_1","first-page":"437","article-title":"Measurement of negative attitudes toward robots","volume":"7","author":"Nomura T.","year":"2006","unstructured":"Nomura, T., T. Suzuki, T. Kanda, and K. Kato. 2006. \u201cMeasurement of negative attitudes toward robots.\u201d Interact. Stud. Soc. Behav. Commun. Biol. Artif. Syst. 7 (3): 437\u2013454. https:\/\/doi.org\/10.1075\/is.7.3.14nom.","journal-title":"Interact. Stud. Soc. Behav. Commun. Biol. Artif. Syst."},{"key":"e_1_3_3_116_1","doi-asserted-by":"crossref","unstructured":"Nothdurft F. G. Bertrand H. Lang and W. Minker. 2012. \u201cAdaptive explanation architecture for maintaining human-computer trust.\u201d In Proc. Int. Computer Software and Applications Conf. 176\u2013184. New York: IEEE.","DOI":"10.1109\/COMPSAC.2012.28"},{"key":"e_1_3_3_117_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0229132"},{"key":"e_1_3_3_118_1","doi-asserted-by":"publisher","DOI":"10.15585\/mmwr.mm6732a3"},{"key":"e_1_3_3_119_1","doi-asserted-by":"crossref","unstructured":"Oleson K. E. D. R. Billings V. Kocsis J. Y. C. Chen and P. A. Hancock. 2011. \u201cAntecedents of trust in human-robot collaborations.\u201d In Proc. IEEE Int. Multi-Disciplinary Conf. on Cognitive Methods in Situation Awareness and Decision Support CogSIMA 2011 175\u2013178. New York: IEEE.","DOI":"10.1109\/COGSIMA.2011.5753439"},{"key":"e_1_3_3_120_1","doi-asserted-by":"publisher","DOI":"10.1145\/3472224"},{"key":"e_1_3_3_121_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CO.1943-7862.0001821"},{"key":"e_1_3_3_122_1","doi-asserted-by":"publisher","DOI":"10.1037\/0022-0663.72.3.362"},{"key":"e_1_3_3_123_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.07.003"},{"key":"e_1_3_3_124_1","doi-asserted-by":"publisher","DOI":"10.17485\/ijst\/2016\/v9i23\/95974"},{"key":"e_1_3_3_125_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bushor.2019.08.005"},{"key":"e_1_3_3_126_1","doi-asserted-by":"crossref","unstructured":"Raats K. V. Fors and S. Pink. 2019. \u201cUnderstanding trust in automated vehicles.\u201d In Proc. 31st Australian Conf. on Human-Computer-Interaction 352\u2013358. New York: Association for Computing Machinery.","DOI":"10.1145\/3369457.3369493"},{"key":"e_1_3_3_127_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.05.002"},{"key":"e_1_3_3_128_1","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2020.1807710"},{"issue":"1","key":"e_1_3_3_129_1","first-page":"3","article-title":"Passengers from India and the United States have differential opinions about autonomous auto-pilots for commercial flights","volume":"1","author":"Rice S.","year":"2014","unstructured":"Rice, S., K. Kraemer, S. Winter, R. Mehta, V. Dunbar, T. Rosser, and J. Moore. 2014. \u201cPassengers from India and the United States have differential opinions about autonomous auto-pilots for commercial flights.\u201d Int. J. Aviat. Aeronaut. Aerosp. 1 (1): 3. https:\/\/doi.org\/10.15394\/ijaaa.2014.1004.","journal-title":"Int. J. Aviat. Aeronaut. Aerosp."},{"key":"e_1_3_3_130_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2017.2648849"},{"key":"e_1_3_3_131_1","doi-asserted-by":"crossref","unstructured":"Robinette P. W. Li R. Allen A. M. Howard and A. R. Wagner. 2016. \u201cOvertrust of robots in emergency evacuation scenarios.\u201d In Proc. ACM\/IEEE Int. Conf. on Human-Robot Interaction 101\u2013108. New York: IEEE.","DOI":"10.1109\/HRI.2016.7451740"},{"key":"e_1_3_3_132_1","doi-asserted-by":"publisher","DOI":"10.1515\/pjbr-2018-0010"},{"key":"e_1_3_3_133_1","doi-asserted-by":"crossref","unstructured":"Salem M. G. Lakatos F. Amirabdollahian and K. Dautenhahn. 2015. \u201cWould you trust a (faulty) robot?: Effects of error task type and personality on human-robot cooperation and trust.\u201d In Proc. ACM\/IEEE Int. Conf. on Human-Robot Interaction 141\u2013148. New York: IEEE.","DOI":"10.1145\/2696454.2696497"},{"key":"e_1_3_3_134_1","doi-asserted-by":"publisher","DOI":"10.1080\/1463922X.2011.611269"},{"key":"e_1_3_3_135_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720818816838"},{"key":"e_1_3_3_136_1","doi-asserted-by":"crossref","unstructured":"Sanders T. L. K. MacArthur W. Volante G. Hancock T. MacGillivray W. Shugars and P. A. Hancock. 2017. \u201cTrust and prior experience in human-robot interaction.\u201d In Proc. Human Factors and Ergonomics Society 1809\u20131813. Los Angeles: SAGE.","DOI":"10.1177\/1541931213601934"},{"key":"e_1_3_3_137_1","doi-asserted-by":"crossref","unstructured":"Sanders T. L. T. Wixon K. E. Schafer J. Y. C. Chen and P. A. Hancock. 2014. \u201cThe influence of modality and transparency on trust in human-robot interaction.\u201d In Proc. IEEE Int. Inter-Disciplinary Conf. on Cognitive Methods in Situation Awareness and Decision Support CogSIMA 2014 156\u2013159. New York: IEEE.","DOI":"10.1109\/CogSIMA.2014.6816556"},{"key":"e_1_3_3_138_1","doi-asserted-by":"publisher","DOI":"10.1080\/1463922021000020891"},{"key":"e_1_3_3_139_1","doi-asserted-by":"publisher","DOI":"10.1177\/0018720816634228"},{"key":"e_1_3_3_140_1","doi-asserted-by":"crossref","unstructured":"Sebo S. S. P. Krishnamurthi and B. Scassellati. 2019. \u201c\u2018I don\u2019t believe you\u2019: Investigating the effects of robot trust violation and repair.\u201d In Proc. 14th ACM\/IEEE Int. Conf. on Human-Robot Interaction (HRI) 57\u201365. New York: IEEE.","DOI":"10.1109\/HRI.2019.8673169"},{"key":"e_1_3_3_141_1","doi-asserted-by":"crossref","unstructured":"Shayesteh S. and H. Jebelli. 2022. \u201cToward human-in-the-loop construction robotics: Understanding workers\u2019 response through trust measurement during human-robot collaboration.\u201d In Proc. Construction Research Congress 2022 631\u2013639. Reston VA: ASCE.","DOI":"10.1061\/9780784483961.066"},{"key":"e_1_3_3_142_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77163-8_10"},{"key":"e_1_3_3_143_1","doi-asserted-by":"publisher","DOI":"10.1207\/S15326985EP3802_5"},{"key":"e_1_3_3_144_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tmp.2020.100692"},{"key":"e_1_3_3_145_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.promfg.2017.04.030"},{"key":"e_1_3_3_146_1","doi-asserted-by":"crossref","unstructured":"Stokes C. K. J. B. Lyons K. Littlejohn J. Natarian E. Case and N. Speranza. 2010. \u201cAccounting for the human in cyberspace: Effects of mood on trust in automation.\u201d In Proc. Int. Symp. on Collaborative Technologies and Systems 180\u2013187. New York: IEEE.","DOI":"10.1109\/CTS.2010.5478512"},{"key":"e_1_3_3_147_1","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2021.1884132"},{"key":"e_1_3_3_148_1","doi-asserted-by":"publisher","DOI":"10.1080\/15428110208984768"},{"key":"e_1_3_3_149_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.chb.2014.05.014"},{"key":"e_1_3_3_150_1","volume-title":"Instructional designs for microcomputer courseware","author":"Tennyson R. D.","year":"1988","unstructured":"Tennyson, R. D., and D. L. Christensen. 1988. \u201cMAIS: An intelligent learning system.\u201d In Instructional designs for microcomputer courseware, edited by D. H. Jonassen. Mahwah, NJ: Lawrence Erlbaum Associates."},{"key":"e_1_3_3_151_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patter.2020.100049"},{"key":"e_1_3_3_152_1","doi-asserted-by":"crossref","unstructured":"Torre I. J. Goslin L. White and D. Zanatto. 2018. \u201cTrust in artificial voices: A \u2018congruency effect\u2019 of first impressions and behavioural experience.\u201d In Proc. ACM Int. Conf. Proc. Series. New York: Association for Computing Machinery.","DOI":"10.1145\/3183654.3183691"},{"key":"e_1_3_3_153_1","doi-asserted-by":"crossref","unstructured":"Ullman D. and B. Malle. 2016. \u201cThe effect of perceived involvement on trust in human-robot interaction.\u201d In Proc. ACM\/IEEE Int. Conf. on Human-Robot Interaction 641\u2013642. New York: IEEE.","DOI":"10.1109\/HRI.2016.7451896"},{"key":"e_1_3_3_154_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2021.554578"},{"key":"e_1_3_3_155_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12369-014-0231-5"},{"key":"e_1_3_3_156_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2018.12.005"},{"key":"e_1_3_3_157_1","doi-asserted-by":"crossref","unstructured":"Volante W. G. T. Sanders D. Dodge V. A. Yerdon and P. A. Hancock. 2016. \u201cSpecifying influences that mediate trust in human-robot interaction.\u201d In Proc. Human Factors and Ergonomics Society 1753\u20131757. New York: Human Factors an Ergonomics Society.","DOI":"10.1177\/1541931213601402"},{"key":"e_1_3_3_158_1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-819472-0.00009-5"},{"key":"e_1_3_3_159_1","doi-asserted-by":"publisher","DOI":"10.1061\/(ASCE)CO.1943-7862.0000732"},{"key":"e_1_3_3_160_1","doi-asserted-by":"crossref","unstructured":"Wang N. D. V. Pynadath and S. G. Hill. 2016. \u201cTrust calibration within a human-robot team: Comparing automatically generated explanations.\u201d In Proc. ACM\/IEEE Int. Conf. on Human-Robot Interaction 109\u2013116. New York: IEEE.","DOI":"10.1109\/HRI.2016.7451741"},{"issue":"5","key":"e_1_3_3_161_1","first-page":"49","article-title":"Artificial intelligence and robotics and their impact on the workplace","volume":"11","author":"Wisskirchen G.","year":"2017","unstructured":"Wisskirchen, G., B. T. Biacabe, U. Bormann, A. Muntz, G. Niehaus, G. J. Soler, and B. von Brauchitsch. 2017. \u201cArtificial intelligence and robotics and their impact on the workplace.\u201d IBA Global Employment Inst. 11 (5): 49\u201367.","journal-title":"IBA Global Employment Inst."},{"key":"e_1_3_3_162_1","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2019.2925717"},{"key":"e_1_3_3_163_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2016.04.005"},{"key":"e_1_3_3_164_1","volume-title":"Human factors","author":"Yamani Y.","year":"2020","unstructured":"Yamani, Y., S. K. Long, and M. Itoh. 2020. \u201cHuman\u2013automation trust to technologies for na\u00efve users amidst and following the COVID-19 pandemic.\u201d In Human factors. Thousand Oaks, CA: SAGE."},{"key":"e_1_3_3_165_1","doi-asserted-by":"crossref","unstructured":"Yan Z. R. Kantola and P. Zhang. 2011. \u201cA research model for human-computer trust interaction.\u201d In Proc. 10th IEEE Int. Conf. on Trust Security and Privacy in Computing and Communications TrustCom 2011 274\u2013281. New York: IEEE.","DOI":"10.1109\/TrustCom.2011.37"},{"key":"e_1_3_3_166_1","doi-asserted-by":"crossref","unstructured":"Yin M. J. W. Vaughan and H. Wallach. 2019. \u201cUnderstanding the effect of accuracy on trust in machine learning models.\u201d In Proc. Conf. on Human Factors in Computing Systems. New York: Association for Computing Machinery.","DOI":"10.1145\/3290605.3300509"},{"key":"e_1_3_3_167_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.09.008"},{"key":"e_1_3_3_168_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.autcon.2018.08.004"},{"key":"e_1_3_3_169_1","doi-asserted-by":"crossref","unstructured":"Zhang Y. Q. V. Liao and R. K. E. Bellamy. 2020. \u201cEffect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making.\u201d In Proc. Conf. on Fairness Accountability and Transparency 295\u2013305. New York: Association for Computing Machinery.","DOI":"10.1145\/3351095.3372852"},{"key":"e_1_3_3_170_1","doi-asserted-by":"publisher","DOI":"10.1007\/s12193-020-00329-9"}],"container-title":["Journal of Computing in Civil Engineering"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/ascelibrary.org\/doi\/pdf\/10.1061\/JCCEE5.CPENG-5656","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,6]],"date-time":"2024-03-06T12:44:05Z","timestamp":1709729045000},"score":1,"resource":{"primary":{"URL":"https:\/\/ascelibrary.org\/doi\/10.1061\/JCCEE5.CPENG-5656"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5]]},"references-count":169,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,5]]}},"alternative-id":["10.1061\/JCCEE5.CPENG-5656"],"URL":"https:\/\/doi.org\/10.1061\/jccee5.cpeng-5656","relation":{},"ISSN":["0887-3801","1943-5487"],"issn-type":[{"value":"0887-3801","type":"print"},{"value":"1943-5487","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5]]},"assertion":[{"value":"2024-03-06","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"03124001"}}