Grants/Funded Research

($XXXX) Co-PI with PI Beau Schelble and Co-PI Allyson Hauptman. The terms of the agreement are renewable for up to three years. Currently, the awarded year 1 funding. This research aims to understand user vulnerability to cyberattacks when partnering with AI teammates, describe the factors that influence their impact, and determine whether team cognition mitigates these impacts without conveying unnecessary information to human teammates.

($420,000) PI with Co-PI Dawn Tilbury, Terms of the agreement are renewable for up to 3 years currently awarded year 1 funding totaling $140,000. This research investigates how human-robot teams (HRTs) develop and adapt shared mental models (SMMs) in unpredictable situations.  Ultimately, the goal is to improve human-robot interaction design and training protocols to enhance HRT effectiveness in complex environments.

($474,000) Co-PI with Dawn Tilbury, Terms of the agreement are renewable for up to 3 years currently awarded year 3 funding totaling $474,000. The objective of this research project is to develop methods for estimating and calibrating situational awareness in teams to optimize their overall performance.

($1,550,000) Co-PI along with PI Ron Eglash, Mark Guzdial, and Audrey Bennett. This project will develop new theory and knowledge addressing 2 primary research questions. (1) How can AI, robotics, and related automation technologies enhance equity for underrepresented groups by enhancing the capabilities of artisanal production and services? (2) How can collaborative innovation with grassroots participants expand their niche to move us closer to a circular economy; one that empowers their labor value? These research questions will be investigated using a four-step approach.

($95,750) Co-PI with PI Ron Eglash, Audrey Bennett. The objective is to examine how STEM can directly benefit grassroots communities  By collaborating with Black, Latinx and Native-owned enterprises in Detroit on innovations for their products and services.

($250,000 to 300,000) PI with Dawn Tilbury, Terms of the agreement are up to $100,000 per year renewable for up to 3 years. The objective of this proposal is to identify the information needed to support SA and trust repair to avoid failure in multi-agent human-automation teams.

($7,500) Co-PI with PI Ron Eglash, Audrey Bennett, Deborah Hammond-Sowah, The objective is to allow buyers to see the weaving that they purchased in the act of being created, and/or be able to ask questions about the symbol meanings directly to the maker.

($100,000) Co-PI with: PI Dawn Tilbury, The objective is to address the question: How do we provide the capability for agents to understand and evolve symbiotically with humans? In particular, we will consider the aspect of trust in a dynamic heterogeneous team.

($231,225) Co-PI with: PI Xi Jessie Yang, Dawn Tilbury, Feng Zhou and Lisa J. Molnar. The objective of this proposal is to develop a standard set of metrics for measuring takeover quality (and also, takeover performance).

($222,494) Co-PI with: PI Xi Jessie Yang, Dawn Tilbury, Feng Zhou and Lisa J. Molnar. The objective of this proposal is to develop computational models capable of predicting drivers’ takeover readiness by analyzing driver's physiological data and external traffic in real-time. 

($60,000) Co-PI with PI Audrey Bennett and Ron Eglash. Cultural traditions in weaving, basketry, and other crafts support skilled labor and more ecologically sustainable ways of life. But they are threatened by competition from factory-made fakes, and increasingly difficult to pass on to the next generation. Thus this research will design, fabricate and test prototypes to facilitate human-machine collaboration in the artisanal fabrication process. 

($300,000) Co-PI with: PI Xi Jessie Yang, Dawn Tilbury, Anuj K Pradhan and Feng Zhou. The objective of this proposal is to predict drivers’ takeover readiness and design an adaptive alert system. 

($250,000) PI with Co-PIs: Dawn Tilbury, Anuj K Pradhan and Xi Jessie Yang. 

    Year 2

    Examining the Impact of Implicit and Explicit AV Communications on Pedestrians’ Trust, 2018-2019

    The objective is to understand how implicit and explicit AV communications can facilitate pedestrian's trust in AVs.

    Year 1

    Trust between Drivers and Autonomous Vehicles (AVs), 2017

    The objective is to understand when a driver is likely to take control of an AV and when an AV should take control.

($300,000) Co-PI with PI Dawn Tilbury and Xi Jessie Yang. Terms of agreement are: $100,000 per year renewable for up to 3 years. The objective of this proposal is to model mutual trust between the driver and autonomous vehicles in convoy operations.

($300,000) PI with Co-PIs: Dawn Tilbury and Anuj K Pradhan. The objective of this proposal is to understand driver’s expectations of their autonomous vehicle and the explanation their autonomous vehicle should provide to address the concerns of the driver.

($515,463) Co-PI along with PI Daniel Romero and Ceren Budak. This project will advance understanding of how groups of volunteer contributors to online resources perform in the face of sudden, unexpected events related to their work. 

($2,500) PI. An exploratory travel grant. The goal of this project is to examine the influence of culture on crowds.

($60,000) Co-PI along with Jesse Austin-Breneman and Nigel Melville. This project will use a mix of human subject experiments and quantitative modeling techniques to examine how individual characteristics may affect risky team decisions.

($60,000) Co-PI along with Vineet Kamat and SangHyun Lee. Using virtual reality to prototype the design of robots to facilitate better human-robot interactions.

($10,000) PI. Examining how to promote knowledge sharing in diverse virtual teams.  

($3,000) Co-PI along with Newell, J. B., Maruping, L. M., Riemenschneider, C. Using technology to leverage diversity in virtual teams.

($1,500) PI along with Srinivasan, S. S. and Maruping, L. M. Effects of team size and dispersion on individual social loafing in technology-supported teams.

($2,000) PI along with Alnuaimi, O. and Maruping, L. M. Linking team size and dispersion to individual social loafing.