scholarly journals An Evaluation of Human Conversational Preferences in Social Human-Robot Interaction

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Chapa Sirithunge ◽  
A. G. Buddhika P. Jayasekara ◽  
D. P. Chandima
Keyword(s):  
Human Study ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Context Aware ◽  
Careful Evaluation ◽  
Robot Interaction ◽  
Wizard Of Oz ◽  
Social Encounter

To generate context-aware behaviors in robots, robots are required to have a careful evaluation of its encounters with humans. Unwrapping emotional hints in observable cues in an encounter will improve a robot’s etiquettes in a social encounter. This article presents an extended human study conducted to examine how several factors in an encounter influence a person’s preferences upon an interaction at a particular moment. We analyzed the nature of conversation preferred by a user considering the type of conversation a robot could have with its user, having the interaction initiated by the robot itself. We took an effort to explore how such preferences differ as the factors present in the surrounding alter. A social robot equipped with the capability to initiate a conversation is deployed to conduct the study by means of a wizard-of-oz (WoZ) experiment. During this study, conversational preferences of users could vary from “no interaction at all” to a “long conversation.” We changed three factors in an encounter which can be different from each other in each circumstance: the audience or outsiders in the environment, user’s task, and the domestic area in which the interaction takes place. Conversational preferences of users within the abovementioned conditions were analyzed in a later stage, and critical observations are highlighted. Finally, implications that could be helpful in shaping future social human-robot encounters were derived from the analysis of the results.

scholarly journals Bender – A General-Purpose Social Robot with Human-Robot Interaction Abilities

2013 ◽  
Vol 1 (2) ◽  
Author(s):  
Javier Ruiz-del-Solar ◽  
Mauricio Correa ◽  
Rodrigo Verschae ◽  
Fernando Bernuy ◽  
Patricio Loncomilla ◽  
...  
Keyword(s):  
General Purpose ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction

Toward a Context-Aware Human–Robot Interaction Framework Based on Cognitive Development

2019 ◽  
Vol 49 (1) ◽  
pp. 227-237 ◽  
Author(s):  
Joao Quintas ◽  
Goncalo S. Martins ◽  
Luis Santos ◽  
Paulo Menezes ◽  
Jorge Dias
Keyword(s):  
Cognitive Development ◽  
Human Robot Interaction ◽  
Context Aware ◽  
Robot Interaction

scholarly journals The Fundamental Attribution Error in Human-Robot Interaction: An Experimental Investigation on Attributing Responsibility to a Social Robot for Its Pre-Programmed Behavior

2022 ◽  
Author(s):  
Aike C. Horstmann ◽  
Nicole C. Krämer
Keyword(s):  
Experimental Investigation ◽  
Attribution Theory ◽  
Social Robots ◽  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Fundamental Attribution Error ◽  
Online Study ◽  
The Social ◽  
Attribution Error

AbstractSince social robots are rapidly advancing and thus increasingly entering people’s everyday environments, interactions with robots also progress. For these interactions to be designed and executed successfully, this study considers insights of attribution theory to explore the circumstances under which people attribute responsibility for the robot’s actions to the robot. In an experimental online study with a 2 × 2 × 2 between-subjects design (N = 394), people read a vignette describing the social robot Pepper either as an assistant or a competitor and its feedback, which was either positive or negative during a subsequently executed quiz, to be generated autonomously by the robot or to be pre-programmed by programmers. Results showed that feedback believed to be autonomous leads to more attributed agency, responsibility, and competence to the robot than feedback believed to be pre-programmed. Moreover, the more agency is ascribed to the robot, the better the evaluation of its sociability and the interaction with it. However, only the valence of the feedback affects the evaluation of the robot’s sociability and the interaction with it directly, which points to the occurrence of a fundamental attribution error.

Learning Hidden Human Context in 3D Office Scenes by Mapping Affordances Through Virtual Humans

2015 ◽  
Vol 03 (04) ◽  
pp. 299-310
Author(s):  
Lasitha Piyathilaka ◽  
Sarath Kodagoda
Keyword(s):  
Point Cloud ◽  
Search Strategy ◽  
Human Robot Interaction ◽  
Context Aware ◽  
Point Cloud Data ◽  
Active Object ◽  
Robot Interaction ◽  
Cloud Data ◽  
Planning Strategy ◽  
Object Search

Ability to learn human context in an environment could be one of the most desired fundamental abilities that a robot should have when sharing a workspace with human co-workers. Arguably, a robot with appropriate human context awareness could lead to a better human–robot interaction. In this paper, we address the problem of learning human context in an office environment by only using 3D point cloud data. Our approach is based on the concept of affordance-map, which involves mapping latent human actions in a given environment by looking at geometric features of the environment. This enables us to learn the human context in the environment without observing real human behaviors which themselves are a nontrivial task to detect. Once learned, affordance-map allows us to assign an affordance cost value for each grid location of the map. These cost maps are later used to develop an active object search strategy and to develop a context-aware global path planning strategy.

Design for a Robotic Companion

2015 ◽  
Vol 12 (01) ◽  
pp. 1550007 ◽  
Author(s):  
Jan Kędzierski ◽  
Paweł Kaczmarek ◽  
Michał Dziergwa ◽  
Krzysztof Tchoń
Keyword(s):  
Social Robot ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
University Of Technology ◽  
The Social ◽  
Trial Testing ◽  
History Of ◽  
Human Attitude ◽  
Emotional System ◽  
And Control

We can learn from the history of robotics that robots are getting closer to humans, both in the physical as well as in the social sense. The development line of robotics is marked with the triad: industrial — assistive — social robots, that leads from human–robot separation toward human–robot interaction. A social robot is a robot able to act autonomously and to interact with humans using social cues. A social robot that can assist a human for a longer period of time is called a robotic companion. This paper is devoted to the design and control issues of such a robotic companion, with reference to the robot FLASH designed at the Wroclaw University of Technology within the European project LIREC, and currently developed by the authors. Two HRI experiments with FLASH demonstrate the human attitude toward FLASH. A trial testing of the robot's emotional system is described.

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