Marieke Peeters

About

Marieke Peeters is a leading researcher at the intersection of human-robot interaction, trust dynamics, and socially intelligent agents. Her work fundamentally addresses how humans and robots can collaborate effectively, particularly in high-stakes environments like disaster response. Peeters’ most influential contribution is her theory of longitudinal trust calibration in human-robot teams, a framework that has garnered 399 citations and reshaped how researchers understand the evolution of trust over time in collaborative settings. She has also pioneered the concept of “Work Agreements” for adaptive human-robot cooperation, enabling dynamic task allocation that respects critical values such as safety and privacy. Beyond functional collaboration, Peeters explores the social dimensions of robotics, investigating how robot appearance and context influence perceived autonomy, and designing embodied conversational agents for elderly users, including those with dementia. Her user-centered approach to creating “bi-bodied” conversational agents—combining virtual characters with physical robots—demonstrates a rare ability to bridge technical innovation with genuine human need. Through her work, Peeters has established herself as a key architect of trustworthy, socially aware robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams

   399 citations · 2019
2. 2
   Perceived Autonomy of Robots: Effects of Appearance and Context

   26 citations · 2017
3. 3
   Improving Adaptive Human-Robot Cooperation through Work Agreements

   11 citations · 2018
4. 4
   Embodied Conversational Interfaces for the Elderly User

   10 citations · 2016
5. 5
   Human-agent experience sharing : Creating social agents for elderly people with dementia

   2 citations · 2016
6. 6
   Perceived Autonomy of Robots: Effects of Appearance and Context

   2 citations · 2015

Key Collaborators

Contact & Links