# "Do it my way!": Impact of Customizations on Trust perceptions in Human-Robot Collaboration

arXiv: https://arxiv.org/abs/2310.18791 · HTML: https://mlsanity.com/paper/2310.18791/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 24 references that are in the map.
- First posted on arXiv 28 Oct 2023.

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

- [Proximal Policy Optimization Algorithms](https://mlsanity.com/paper/1707.06347/) (2017)
- [iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks](https://mlsanity.com/paper/2108.03272/) (2021)
- [Assistive Gym: A Physics Simulation Framework for Assistive Robotics](https://mlsanity.com/paper/1910.04700/) (2019)
- [Towards Robotic Feeding: Role of Haptics in Fork-based Food Manipulation](https://mlsanity.com/paper/1804.08768/) (2018)
- [Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously Unseen Food Items](https://mlsanity.com/paper/1908.07088/) (2019)

## Built on by (most cited first, 1 of 1)

- [The Personalization Paradox: Semantic Loss vs. Reasoning Gains in Agentic AI Q&A](https://mlsanity.com/paper/2512.04343/) (2025)

## Abstract (arXiv)

Trust has been shown to be a key factor in effective human-robot collaboration. In the context of assistive robotics, the effect of trust factors on human experience is further pronounced. Personalization of assistive robots is an orthogonal factor positively correlated with robot adoption and user perceptions. In this work, we investigate the relationship between these factors through a within-subjects study (N=17). We provide different levels of customization possibilities over baseline autonomous robot behavior and investigate its impact on trust. Our findings indicate that increased levels of customization was associated with higher trust and comfort perceptions. The assistive robot design process can benefit significantly from our insights for designing trustworthy and customized robots.