Metrics for Evaluating Human-Robot Interactions
By Michael A. Goodrich, D. Olsen. 2003
303 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/007b40028dddc873db83eabd0d0a494c5899e607
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Panagiota Tsarouchi
- Jessie Y.C. Chen
- Aaron Steinfeld
- Jenay M. Beer
- Michael A. Goodrich
- Sotiris Makris
- Michael J. Barnes
- Arthur D. Fisk
Citations in the corpus
- Toward a framework for levels of robot autonomy in human-robot interaction (2014, background): “Although previous models and frameworks have addressed autonomy in HRI (Feil-Seifer, Skinner, & Mataric, 2007; Goodrich & Olsen, 2003; Goodrich & Schultz, 2007; Huang, Pavek, Albus, & Messina, 2005; Thrun, 2004; Yanco & Drury, 2004) and automation (Endsley & Kaber, 1999; Parasuraman, Sheridan, &…”
- Common metrics for human-robot interaction (2006, methodology): “Another method for evaluating the overall effectiveness of humanrobot teams is interaction effort, which measures the overall effort required by the human to work with the team [ 35 ].”
- Human Performance Issues and User Interface Design for Teleoperated Robots (2007, background): “quire the different contexts rapidly when switching among the robots [15], [49].”
- Human–robot interaction review and challenges on task planning and programming (2016, methodology): “Olsen and Goodrich (2003) described metrics for the evaluation of the HR quality interfaces and focused on increasing the robots autonomy, measured by the neglect tolerance (NT) and on reducing the time, required for the robot ’ s interaction, measured by the interaction effort (IE) metric.”
- Human Interaction With Robot Swarms: A Survey (2016, background): “This concept is in some sense the converse to neglect tolerance [137], [138] in HRI of independent and noncoordinating robots, where it is assumed”
- Validating human-robot interaction schemes in multitasking environments (2005, background): “The idea of determining how many independent homogeneous robots can be managed by a single human is captured by the notion of fanout [49].”