Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles.
Objective: We examined the impact of priming on operator trust and system performance when supervising a decentralized network of heterogeneous unmanned vehicles (UVs).Background: Advances in autonomy have enabled a future vision of single-operator control of multiple heterogeneous UVs. Real-time sc...
| Publicado en: | Human Factors Vol. 57; no. 7; pp. 1208 - 1219 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Sage Publications Inc.
Nov2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=110517199&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 110517199 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00187208 HMF jtl: Human Factors issn: 00187208 maglogo: Y pubinfo: dt: Nov2015 vid: 57 iid: 7 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 110517199 110517199 NLM26060238 10.1177/0018720815587803 NLM26060238 110517199 ppf: 1208 ppct: 11 formats: tig: atl: Influencing Trust for Human-Automation Collaborative Scheduling of Multiple Unmanned Vehicles. aug: au: Clare, Andrew S. Cummings, Mary L. Repenning, Nelson P. affil: Massachusetts Institute of Technology, Cambridge sug: subj: Video Games Psychosocial Factors Automation Trust Technology Adolescence Male Algorithms Female Adult User-Computer Interface Young Adult Impact of Events Scale Scales Adolescent: 13-18 years Adult: 19-44 years Male Female ab: Objective: We examined the impact of priming on operator trust and system performance when supervising a decentralized network of heterogeneous unmanned vehicles (UVs).Background: Advances in autonomy have enabled a future vision of single-operator control of multiple heterogeneous UVs. Real-time scheduling for multiple UVs in uncertain environments requires the computational ability of optimization algorithms combined with the judgment and adaptability of human supervisors. Because of system and environmental uncertainty, appropriate operator trust will be instrumental to maintain high system performance and prevent cognitive overload.Method: Three groups of operators experienced different levels of trust priming prior to conducting simulated missions in an existing, multiple-UV simulation environment.Results: Participants who play computer and video games frequently were found to have a higher propensity to overtrust automation. By priming gamers to lower their initial trust to a more appropriate level, system performance was improved by 10% as compared to gamers who were primed to have higher trust in the automation.Conclusion: Priming was successful at adjusting the operator's initial and dynamic trust in the automated scheduling algorithm, which had a substantial impact on system performance.Application: These results have important implications for personnel selection and training for futuristic multi-UV systems under human supervision. Although gamers may bring valuable skills, they may also be potentially prone to automation bias. Priming during training and regular priming throughout missions may be one potential method for overcoming this propensity to overtrust automation. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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