Explanations and Expectations: Trust Building in Automated Vehicles

By Jacob Haspiel, Na Du, Jill Meyerson, Lionel P. Robert Jr., Dawn M. Tilbury, X. J. Yang, A. Pradhan. 2018

81 citations recorded by the source corpus.

Subfields: Applied Psychology, Safety Research, Social Psychology, Safety, Robustness & Interpretability, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety Research

1. Amir Hussain
2. Mohammed Berrada
3. Kaizhu Huang
4. Amina Adadi

In Social Psychology

1. Amir Hussain

In Safety, Robustness & Interpretability

1. Pravendra Singh
2. Amir Hussain
3. Mufti Mahmud
4. Pranav Singh Chib
5. Mohammed Berrada
6. Kaizhu Huang
7. Amina Adadi
8. Longo Luca

In Human-Computer Interaction

1. Amir Hussain
2. Mufti Mahmud

Citations in the corpus

• Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, neutral): “XAI Goal References Trustworthiness [5, 10, 24, 32, 33, 34, 35, 36, 37] Causality [35, 38, 39, 40, 41, 42, 43]”
• Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI) (2018, background): “has been already started [43], [44], but there is a long way to go.”
• Explainable Agents and Robots: Results from a Systematic Literature Review (2019, unknown): “Transparency [89] [100] [81] [79] [103] [44] [106] [19] [95] [73] [41] [51] [107] [88] [14] [65] [43] [82] [34] [57] [29] [6] [7] [42] [104] [46] [18] [75]”
• Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (2023, result): “Contrary to popular belief, Haspiel et al. [57] presented another point of view by investigating the influence of explanations on the trust-building process that were provided at different time frames.”
• Recent Advancements in End-to-End Autonomous Driving Using Deep Learning: A Survey (2023, background): “According to Haspiel et al. [110], explanations play a crucial role when humans are involved, as the ability to explain an autonomous vehicle’s actions significantly impacts consumer trust, which is essential for the widespread acceptance of this technology.”