# From the Head or the Heart? An Experimental Design on the Impact of Explanation on Cognitive and Affective Trust

arXiv: https://arxiv.org/abs/2110.03433 · HTML: https://mlsanity.com/paper/2110.03433/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 5 of its 33 references that are in the map.
- First posted on arXiv 7 Oct 2021.

## Builds on (most cited first, 5 of 5)

- [Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks](https://mlsanity.com/paper/1807.05720/) (2018)
- [Look Who's Talking Now: Implications of AV's Explanations on Driver's Trust, AV Preference, Anxiety and Mental Workload](https://mlsanity.com/paper/1905.08878/) (2019)
- [A Unified Bi-directional Model for Natural and Artificial Trust in Human-Robot Collaboration](https://mlsanity.com/paper/2106.02194/) (2021)
- [Situational Awareness, Drivers Trust in Automated Driving Systems and Secondary Task Performance](https://mlsanity.com/paper/1903.05251/) (2019)
- [Are Automated Vehicles Safer than Manually Driven Cars?](https://mlsanity.com/paper/1905.07054/) (2019)

## Abstract (arXiv)

Automated vehicles (AVs) are social robots that can potentially benefit our society. According to the existing literature, AV explanations can promote passengers' trust by reducing the uncertainty associated with the AV's reasoning and actions. However, the literature on AV explanations and trust has failed to consider how the type of trust - cognitive versus affective - might alter this relationship. Yet, the existing literature has shown that the implications associated with trust vary widely depending on whether it is cognitive or affective. To address this shortcoming and better understand the impacts of explanations on trust in AVs, we designed a study to investigate the effectiveness of explanations on both cognitive and affective trust. We expect these results to be of great significance in designing AV explanations to promote AV trust.