An ethological and emotional basis for human-robot interaction

By R. Arkin, M. Fujita, Tsuyoshi Takagi, R. Hasegawa. Robotics Auton. Syst., 2003

315 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Cultural Studies, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6b31942478e7aca6f1998b8d1506167fd8a0bf86

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Citations in the corpus

Emotions: from brain to robot. (2004, background): “Studies of canine ethology support work on human– robot bonding for Sony’s AIBO [12], a speaking dog-like entertainment robot.”
Human-robot interaction in rescue robotics (2004, background): “Although human interactions with robots span almost every robotic endeavor [10], [11], HRI research has been conducted primarily in six application domains: entertainment [12], [13], [14], [15] (see Breazeal in this issue), museum docents [16], [17], [18], [19], [20], personal assistants [21], [22] ”
Whose job is it anyway? a study of human-robot interaction in a collaborative task (2004, background): “Most human–robot interaction studies with physical robots have had the goal of understanding and improving social acceptance of robots or robot interface design (notably, Arkin, Fujita, Takagi, & Hasegawa, 2003; Breazeal, 2000; Draper, Pin, Rowe, & Jansen, 1999; Khatib, Yokoi, Brock, Chang, & Casa”
R-IAC: Robust Intrinsically Motivated Exploration and Active Learning (2009, background): “, see [15]–[20]) and in particular intrinsic motivation, responsible of spontaneous exploration and curiosity in humans, which is the mechanism underlying the algorithms presented in this paper.”
Robot navigation in dense human crowds: Statistical models and experimental studies of human–robot cooperation (2015, background): “array(path_pt_list[3:5], dtype='int') path_time_sec[k] = int(path_pt_list[5]) path_time_msec[k] = int(path_pt_list[6]) track_id_list.”
A survey of socially interactive robots (2003, background): “) a robot needs to exhibit in order to appear life-like [4].”
Teachable robots: Understanding human teaching behavior to build more effective robot learners (2008, background): “To be most eﬀective, the robot should reveal its internal state in a manner that is intuitive for the human partner (Breazeal, 2002; Arkin et al., 2003).”
Moral Decision Making in Autonomous Systems: Enforcement, Moral Emotions, Dignity, Trust, and Deception (2012, background): “Our laboratory has considerable experience in the maintenance and integration of emotion into autonomous system architectures in the context of personal and service robotics (e.g., [Arkin 05, Arkin et al 03, Moshkina et al 09]).”
Robotics and Autonomous Systems (2014, unknown): “For example, recently there has been provocative work on social and moral relationships [32–34]; mental models and shared grounds [35]; emotional interaction [36]; the concept of ‘‘personal space’’ [37]; and longterm social interaction [38,39] between a human and a robot.”