Human-Robot Interaction: A Survey

By Michael A. Goodrich, Alan C. Schultz. Found. Trends Hum. Comput. Interact., 2008

1,942 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Social Psychology

View Paper: https://www.semanticscholar.org/paper/8c13829ba72c0752484d984d55d803d4ad7271e1

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In Control and Systems Engineering

In Social Psychology

Citations in the corpus

Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration (2020, background): “However, prior work in HRI has been mainly restricted in lab environments (Goodrich & Schultz, 2007; Dautenhahn, 2007; Nikolaidis et al., 2015; Rozo et al., 2016), and the goals in the collaborative tasks were either shared by both agents or were deﬁned in a small space.”
Trustworthy artificial intelligence (2020, background): “Research on AI autonomy is diverse and involves, for example, the autonomy of robots (Noorman and Johnson 2014), human-robot interactions (Goodrich and Schultz 2007), or the coordination of several autonomous agents (Yan et al.”
Expressive robots in education: varying the degree of social supportive behavior of a robotic tutor (2010, background): “It is still an open debate whether robots that work together with humans in a cooperative team like setting should be designed merely as tools or as social interaction partners [15, 14].”
Head pose estimation via probabilistic high-dimensional regression (2015, background): “Head pose is an important visual cue in many scenarios such as social event analysis [1], human-robot interaction (HRI) [2] and driver-assistance systems [3] to name a few.”
Robots That Use Language (2020, background): “(16) surveyed socially interactive robots, and Goodrich & Schultz (17) and Thomaz et al.”
A survey of robot learning from demonstrations for Human-Robot Collaboration (2017, background): “For example, researchers should handle a safety issue to prevent potential hazards by robots [6] and they also need to consider a human partner’s mental states (i.e., feelings, desires, intents, etc.) to make them feel more comfortable with robot co-workers [7], [8].”
Human Interaction With Robot Swarms: A Survey (2016, background): “Proximal interactions with a swarm that actively engage an operator, such as speech or gestures, are similar to proximal interactions with other robot systems [94] or interactions in the context of peer-to-peer teaming [95].”
A review of the applicability of robots in education (2013, background): “The role of a robot as a mentor has also been discussed in [23].”
Human–Robot Interaction (2016, neutral): “Goodrich and Schultz (2007) provide an excellent though slightly dated survey of the literature.”
Toward a framework for levels of robot autonomy in human-robot interaction (2014, background): “In particular, Sheridan and Verplank’s taxonomy (Table 2) has been suggested as appropriate to potentially describe a robot’s level of autonomy (Goodrich & Schultz, 2007).”
Online Action Recognition via Nonparametric Incremental Learning (2014, background): “Applications in which this constraint holds include: large scale datasets [15], surveillance systems [20, 24, 32], disease recognition [13, 40], human-computer interaction [27, 42], human-robot interaction [12, 16] and robot cooperation [10].”
Emotion Recognition from Body Expressions with a Neural Network Architecture (2017, background): “Therefore, the task of emotion recognition plays a key role in improving the interaction between humans and robots in domestic environments [9].”
Human–Agent Teaming for Multirobot Control: A Review of Human Factors Issues (2014, background): “The roles assigned to each refer to the general functions performed by each partner such as overall supervision by the human and algorithmic optimization by the agent with the understanding that functions may be reassigned during emergencies [26], [27].”