How Much Reliability Is Enough? A Context-Specific View on Human Interaction With (Artificial) Agents From Different Perspectives
出版年份 2022 全文链接
标题
How Much Reliability Is Enough? A Context-Specific View on Human Interaction With (Artificial) Agents From Different Perspectives
作者
关键词
-
出版物
Journal of Cognitive Engineering and Decision Making
Volume -, Issue -, Pages 155534342211046
出版商
SAGE Publications
发表日期
2022-06-03
DOI
10.1177/15553434221104615
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Challenging presumed technological superiority when working with (artificial) colleagues
- (2022) Tobias Rieger et al. Scientific Reports
- Superintelligence Cannot be Contained: Lessons from Computability Theory
- (2021) Manuel Alfonseca et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- Impact of Pilot's Expertise on Selection, Use, Trust, and Acceptance of Automation
- (2021) Jordan Navarro et al. IEEE Transactions on Human-Machine Systems
- The future of artificial intelligence at work: A review on effects of decision automation and augmentation on workers targeted by algorithms and third-party observers
- (2021) Markus Langer et al. COMPUTERS IN HUMAN BEHAVIOR
- The importance of incorporating risk into human-automation trust
- (2021) Rachel E. Stuck et al. THEORETICAL ISSUES IN ERGONOMICS SCIENCE
- International evaluation of an AI system for breast cancer screening
- (2020) Scott Mayer McKinney et al. NATURE
- Automation reliability, human–machine system performance, and operator compliance: A study with airport security screeners supported by automated explosives detection systems for cabin baggage screening
- (2020) David Huegli et al. APPLIED ERGONOMICS
- Agency plus automation: Designing artificial intelligence into interactive systems
- (2019) Jeffrey Heer PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- History and future of human-automation interaction
- (2019) Christian P. Janssen et al. INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES
- Synthetic agency: sense of agency in artificial intelligence
- (2019) Roberto Legaspi et al. Current Opinion in Behavioral Sciences
- Redundant Automation Monitoring: Four Eyes Don’t See More Than Two, if Everyone Turns a Blind Eye
- (2018) Dietlind Helene Cymek HUMAN FACTORS
- Artificial Intelligence, Machine Learning, Deep Learning, and Cognitive Computing: What Do These Terms Mean and How Will They Impact Health Care?
- (2018) Stefano A. Bini JOURNAL OF ARTHROPLASTY
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- From Here to Autonomy
- (2016) Mica R. Endsley HUMAN FACTORS
- The social dilemma of autonomous vehicles
- (2016) J.-F. Bonnefon et al. SCIENCE
- Technology, Humanness, and Trust: Rethinking Trust in Technology
- (2015) Nancy Lankton et al. Journal of the Association for Information Systems
- "Just Another Tool for Online Studies” (JATOS): An Easy Solution for Setup and Management of Web Servers Supporting Online Studies
- (2015) Kristian Lange et al. PLoS One
- Trust in Automation
- (2014) Kevin Anthony Hoff et al. HUMAN FACTORS
- A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction
- (2011) Peter A. Hancock et al. HUMAN FACTORS
- A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems
- (2010) Arash Bahrammirzaee NEURAL COMPUTING & APPLICATIONS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now