Designing robots for long-term social interaction

Gockley, Rachel; Bruce, A.; Forlizzi, Jodi; Michalowski, Marek P.; Mundell, A.; Rosenthal, Stephanie; Sellner, Brennan; Simmons, Reid; Snipes, K.; Schultz, Alan C.; Wang, Jue

doi:10.1109/iros.2005.1545303

Cited by 318 publications

(227 citation statements)

References 11 publications

(9 reference statements)

Supporting

Mentioning

207

Contrasting

Unclassified

Order By: Relevance

“…Results from a first study [13] indicated that, after a certain period, only few users interacted with the robot for more than 30 seconds. To avoid this, the authors proposed some design recommendations such as proper greeting and farewell behaviors, more interactive dialogue or a robust way of identifying repeated visitors.…”

Section: Introductionmentioning

confidence: 99%

Long-term assessment of a service robot in a hotel environment

Pinillos

Marcos

Feliz

et al. 2016

Robotics and Autonomous Systems

135

View full text Add to dashboard Cite

The long term evaluation of the Sacarino robot is presented in this paper. This study aimed to improve the robot's capabilities as a bellboy in a hotel; walking alongside the guests, providing information about the city and the hotel and providing hotel-related services. The paper establishes a three-stage assessment methodology based on the continuous measurement of a set of metrics regarding navigation and interaction with guests. Sacarino has been automatically collecting information in a real hotel environment for long periods of time. The acquired information has been analyzed and used to improve the robot's operation in the hotel through successive refinements. Some interesting considerations and useful hints for the researchers of service robots have been extracted from the analysis of the results.

show abstract

Section: Introductionmentioning

confidence: 99%

Long-term assessment of a service robot in a hotel environment

Pinillos

Marcos

Feliz

et al. 2016

Robotics and Autonomous Systems

135

View full text Add to dashboard Cite

show abstract

“…Recent years have seen impressive advances in the mechanical aspects of this problem, yet progress on social interaction has been slower (1)(2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15). Research suggests that low-level information, such as animacy, contingency, and visual appearance, can trigger powerful social behaviors toward robots during the first few minutes of interaction (16,17).…”

mentioning

confidence: 99%

Socialization between toddlers and robots at an early childhood education center

Tanaka

Cicourel

Movellan

2007

Proc. Natl. Acad. Sci. U.S.A.

404

225

View full text Add to dashboard Cite

A state-of-the-art social robot was immersed in a classroom of toddlers for >5 months. The quality of the interaction between children and robots improved steadily for 27 sessions, quickly deteriorated for 15 sessions when the robot was reprogrammed to behave in a predictable manner, and improved in the last three sessions when the robot displayed again its full behavioral repertoire. Initially, the children treated the robot very differently than the way they treated each other. By the last sessions, 5 months later, they treated the robot as a peer rather than as a toy. Results indicate that current robot technology is surprisingly close to achieving autonomous bonding and socialization with human toddlers for sustained periods of time and that it could have great potential in educational settings assisting teachers and enriching the classroom environment.human-robot interaction ͉ social development ͉ social robotics

show abstract

“…For instance, we have robots that lead tours in museums (Burgard et al, 1998), robots that act as receptionists (Gockley et al, 2005), and robots that function as pets (Fujita, 2001). As robots begin to occupy roles traditionally reserved for people, the need for robots that are able to interact in a complex manner with human beings has increased dramatically.…”

Section: Motivationmentioning

confidence: 99%

A Behavioral Analysis of Computational Models of Visual Attention

Shic

Scassellati

2006

Int J Comput Vision

View full text Add to dashboard Cite

Abstract. Robots often incorporate computational models of visual attention to streamline processing. Even though the number of visual attention systems employed on robots has increased dramatically in recent years, the evaluation of these systems has remained primarily qualitative and subjective. We introduce quantitative methods for evaluating computational models of visual attention by direct comparison with gaze trajectories acquired from humans. In particular, we focus on the need for metrics based not on distances within the image plane, but that instead operate at the level of underlying features. We present a framework, based on dimensionality-reduction over the features of human gaze trajectories, that can simultaneously be used for both optimizing a particular computational model of visual attention and for evaluating its performance in terms of similarity to human behavior. We use this framework to evaluate the Itti et al. (1998) model of visual attention, a computational model that serves as the basis for many robotic visual attention systems.

show abstract

Designing robots for long-term social interaction

Cited by 318 publications

References 11 publications

Long-term assessment of a service robot in a hotel environment

Long-term assessment of a service robot in a hotel environment

Socialization between toddlers and robots at an early childhood education center

A Behavioral Analysis of Computational Models of Visual Attention

Contact Info

Product

Resources

About