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ORCIDDaniel Ullman 0002
Person information
- affiliation: Brown University, Providence, RI, USA
- affiliation (former): Yale University, New Haven, CT, USA
Other persons with the same name
- Daniel H. Ullman (aka: Daniel Ullman 0001) — George Washington University, Department of Mathematics, Washington, DC, USA
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2020 – today
- 2023
[i1]Bertram F. Malle, Daniel Ullman:
Measuring Human-Robot Trust with the MDMT (Multi-Dimensional Measure of Trust). CoRR abs/2311.14887 (2023)- 2021
- [c17]Daniel Ullman, Salomi Aladia, Bertram F. Malle
:
Challenges and Opportunities for Replication Science in HRI: A Case Study in Human-Robot Trust. HRI 2021: 110-118 - 2020
- [c16]Eric Rosen, Nishanth Kumar, Nakul Gopalan, Daniel Ullman, George Konidaris, Stefanie Tellex:
Building Plannable Representations with Mixed Reality. IROS 2020: 11146-11153 - [c15]Eric Rosen, David Whitney, Michael Fishman, Daniel Ullman, Stefanie Tellex:
Mixed Reality as a Bidirectional Communication Interface for Human-Robot Interaction. IROS 2020: 11431-11438
2010 – 2019
- 2019
- [c14]Daniel Ullman, Bertram F. Malle:
Measuring Gains and Losses in Human-Robot Trust: Evidence for Differentiable Components of Trust. HRI 2019: 618-619 - [c13]Baichuan Huang, Deniz Bayazit, Daniel Ullman, Nakul Gopalan, Stefanie Tellex:
Flight, Camera, Action! Using Natural Language and Mixed Reality to Control a Drone. ICRA 2019: 6949-6956 - 2018
- [j2]Anthony L. Baker, Elizabeth Phillips, Daniel Ullman, Joseph Roland Keebler:
Toward an Understanding of Trust Repair in Human-Robot Interaction: Current Research and Future Directions. ACM Trans. Interact. Intell. Syst. 8(4): 30:1-30:30 (2018) - [c12]Elizabeth Phillips, Xuan Zhao, Daniel Ullman, Bertram F. Malle:
What is Human-like?: Decomposing Robots' Human-like Appearance Using the Anthropomorphic roBOT (ABOT) Database. HRI 2018: 105-113 - [c11]Daniel Ullman, Bertram F. Malle:
What Does it Mean to Trust a Robot?: Steps Toward a Multidimensional Measure of Trust. HRI (Companion) 2018: 263-264 - [c10]David Whitney, Eric Rosen, Daniel Ullman, Elizabeth Phillips, Stefanie Tellex:
ROS Reality: A Virtual Reality Framework Using Consumer-Grade Hardware for ROS-Enabled Robots. IROS 2018: 1-9 - 2017
- [j1]Iolanda Leite, Marissa McCoy, Monika Lohani, Daniel Ullman, Nicole Salomons, Charlene K. Stokes, Susan E. Rivers, Brian Scassellati:
Narratives with Robots: The Impact of Interaction Context and Individual Differences on Story Recall and Emotional Understanding. Frontiers Robotics AI 4: 29 (2017) - [c9]Daniel Ullman, Bertram F. Malle:
Human-Robot Trust: Just a Button Press Away. HRI (Companion) 2017: 309-310 - 2016
- [c8]Daniel Ullman, Bertram F. Malle:
The Effect of Perceived Involvement on Trust in Human-Robot Interaction. HRI 2016: 641-642 - 2015
- [c7]Iolanda Leite, Marissa McCoy, Monika Lohani, Daniel Ullman, Nicole Salomons, Charlene K. Stokes, Susan E. Rivers, Brian Scassellati:
Emotional Storytelling in the Classroom: Individual versus Group Interaction between Children and Robots. HRI 2015: 75-82 - [c6]Iolanda Leite, Marissa McCoy, Daniel Ullman, Nicole Salomons, Brian Scassellati:
Comparing Models of Disengagement in Individual and Group Interactions. HRI 2015: 99-105 - [c5]Alexandru Litoiu, Daniel Ullman, Jason Kim, Brian Scassellati:
Evidence that Robots Trigger a Cheating Detector in Humans. HRI 2015: 165-172 - 2014
- [c4]Daniel Ullman, Iolanda Leite, Jonathan Phillips, Julia Kim-Cohen, Brian Scassellati:
Smart Human, Smarter Robot: How Cheating Affects Perceptions of Social Agency. CogSci 2014 - [c3]Bradley Hayes, Daniel Ullman, Emma Alexander, Caroline Bank, Brian Scassellati:
People help robots who help others, not robots who help themselves. RO-MAN 2014: 255-260 - 2013
- [c2]Henny Admoni, Bradley Hayes, David Feil-Seifer, Daniel Ullman, Brian Scassellati:
Dancing With Myself: The effect of majority group size on perceptions of majority and minority robot group members. CogSci 2013 - [c1]Henny Admoni, Bradley Hayes, David Feil-Seifer, Daniel Ullman, Brian Scassellati:
Are you looking at me?: perception of robot attention is mediated by gaze type and group size. HRI 2013: 389-396
Coauthor Index
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