Social eye gaze in human-robot interaction

By Henny Admoni, Brian Scassellati. J. Hum. Robot Interact., 2017

554 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Frontline Service Technology infusion: conceptual archetypes and future research directions (2019, background): “…in a variety of ways, including emotional display (Cameron et al. , 2018), body language (Beck et al. , 2010), personality exhibition (Callejas et al. , 2014), gaze (Admoni and Scassellati, 2017), gestures and movement (Castro-González et al. , 2016), use of humor (Tay et al. , 2016) and others.”
Human Gaze Assisted Artificial Intelligence: A Review (2020, background): “In the effort of humanizing robots, anthropomorphic humanoid robots can use their own “gaze” to enhance communication with humans [ Admoni and Scassellati, 2017 ] .”
The EMPATHIC Framework for Task Learning from Implicit Human Feedback (2020, background): “We view learning from implicit human feedback (LIHF) as complementary to learning from explicit human teaching, which might take the form of demonstrations [1], evaluative feedback [2, 3], or other communicative modalities [4, 5, 6, 7, 8].”
Core Challenges of Social Robot Navigation: A Survey (2021, background): “While much of the intention information is often encoded in robot motion, alternative modalities like lights [13, 68], gestures [100], facial expressions, or gaze [1] may enhance the effectiveness of signaling.”