Explainable Recommendations and Calibrated Trust: Two Systematic User Errors

Mohammad Naiseh; Deniz Cemiloglu; Dena Al Thani; Nan Jiang; Raian Ali

doi:10.1109/MC.2021.3076131

Explainable Recommendations and Calibrated Trust: Two Systematic User Errors

Mohammad Naiseh, Deniz Cemiloglu, Dena Al Thani, Nan Jiang, Raian Ali

CSE Information & Computing Technology

Research output: Contribution to specialist publication › Article

20 Citations (Scopus)

Abstract

The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.

Original language	English
Pages	28-37
Number of pages	10
Volume	54
No.	10
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2021.3076131
Publication status	Published - Oct 2021

Access to Document

10.1109/MC.2021.3076131

Cite this

@misc{946002dfa7a84428adea60337437b186,

title = "Explainable Recommendations and Calibrated Trust: Two Systematic User Errors",

abstract = "The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.",

author = "Mohammad Naiseh and Deniz Cemiloglu and {Al Thani}, Dena and Nan Jiang and Raian Ali",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

year = "2021",

month = oct,

doi = "10.1109/MC.2021.3076131",

language = "English",

volume = "54",

pages = "28--37",

journal = "Computer",

issn = "0018-9162",

publisher = "IEEE Computer Society",

}

TY - GEN

T1 - Explainable Recommendations and Calibrated Trust

T2 - Two Systematic User Errors

AU - Naiseh, Mohammad

AU - Cemiloglu, Deniz

AU - Al Thani, Dena

AU - Jiang, Nan

AU - Ali, Raian

PY - 2021/10

Y1 - 2021/10

N2 - The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.

AB - The increased adoption of collaborative human-artificial intelligence decision-making tools triggered a need to explain recommendations for safe and effective collaboration. We explore how users interact with explanations and why trust-calibration errors occur, taking clinical decision-support systems as a case study.

UR - http://www.scopus.com/inward/record.url?scp=85116026838&partnerID=8YFLogxK

U2 - 10.1109/MC.2021.3076131

DO - 10.1109/MC.2021.3076131

M3 - Article

AN - SCOPUS:85116026838

SN - 0018-9162

VL - 54

SP - 28

EP - 37

JO - Computer

JF - Computer

ER -

Explainable Recommendations and Calibrated Trust: Two Systematic User Errors

Abstract

Access to Document

Other files and links

Fingerprint

Cite this