The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Since most robots are not easily displayable in real-life scenarios, only a few studies investigate users' behavior towards humanoids or androids in a natural environment. We present an observational field study and data on unscripted interactions between humans and the android robot “Geminoid HI-1”. First results show that almost half of the subjects mistook Geminoid HI-1 for a human. Even those...
This paper proposes the novel emotion dynamic equation for emotion implementation like human's emotion. Almost general method use artificial approach such as neutral networks to classify emotion by using speech and face image data for human's emotion recognition. But high-dimension and large size of this data cause low-speed learning in robot system. The main idea of the proposed dynamic equation...
This paper presents a method and a tool to collect data of initiation stages in conversational interaction in order to better understand how humans talk to machines. This is done by means of a platform-robot which both facilitates conversations between a robot and human interlocutors and records the interaction using multi-modal technology. The system is provided with a standard face detection algorithm...
The animation techniques of anticipation and reaction can help create robot behaviors that are human readable such that people can figure out what the robot is doing, reasonably predict what the robot will do next, and ultimately interact with the robot in an effective way. By showing forethought before action and expressing a reaction to the task outcome (success or failure), we prototyped a set...
Recent research has shown that anthropomorphism represents a means to facilitate HRI. Under which conditions do people anthropomorphize robots and other nonhuman agents? This research question was investigated in an experiment that manipulated participants' anticipation of a prospective human-robot interaction (HRI) with a robot whose behavior was characterized by either low or high predictability...
Auditory instruction is a well used method for people of all ages because of its understandability. However the additional voice has the possibility to disturb the user's learning during the instruction because it strongly implies the support of third-person helpers. This risk increases with older people because their confidence in their ability may decline compared to the younger people. The authors...
Human interaction is highly intuitive: we infer reactions of our opponents mainly from what we have learned in years of experience and often assume that other people have the same knowledge about certain situations, abilities, and expectations as we do. In human-robot interaction (HRI) we cannot take for granted that this is equally true since HRI is asymmetrical. In other words, robots have different...
This paper explores how effectively users can encode emotions in robot behaviors using existing robot programming interfaces. Specifically, we analyze how programming interfaces for Nao and Pleo robots allow end-users to encode behaviors that express anger, sadness, happiness, and surprise. Via a series of user studies, we found that users were able to express emotions through these robots more effectively...
In this paper, we present an asynchronous display method, coined image queue, which allows operators to search through a large amount of data gathered by autonomous robot teams. We discuss and investigate the advantages of an asynchronous display for foraging tasks with emphasis on Urban Search and Rescue. The image queue approach mines video data to present the operator with a relevant and comprehensive...
This study explores how human users respond to feedback and evaluation from a robot. A between-subjects experiment was conducted using the Wizard of Oz method, with 63 participants randomly assigned to one of three evaluations (good evaluation vs. neutral evaluation vs. bad evaluation) following a training session. When participants attempted to reproduce the physical motion taught by the robot, they...
The design of an affect recognition system for socially perceptive robots relies on representative data: human-robot interaction in naturalistic settings requires an affect recognition system to be trained and validated with contextualised affective expressions, that is, expressions that emerge in the same interaction scenario of the target application. In this paper we propose an initial computational...
We present a user study and dataset designed and collected to analyze how humans use space in face-to-face interactions. In a proof-of-concept investigation into human spatial dynamics, a Hidden Markov Model (HMM) was trained over a subset of features to recognize each of three interaction cues—initiation, acceptance, and termination—in both dyadic and triadic scenarios; these cues are useful in predicting...
Robots excel at planning and performing tasks in controlled environments, but poor perception often leads to poor performance in unstructured environments. One typical way of improving robot performance is to give more control to a human operator and then design user interfaces that build the operator's situation awareness. As an alternative, humans can support robot perception to add structure to...
This paper presents our ongoing work developing service robots that provide assisted-care, such as serving tea to the elderly in care facilities. In multi-party settings, a robot is required to be able to deal with requests from multiple individuals simultaneously. In particular, when the service robot is concentrating on taking care of a specific person, other people who want to initiate interaction...
Robots appear to be engaging to many children with autism, and evidence suggests that engagement can facilitate social interaction not only between child and robot but also between child and another human. To date, no objective evidence has established a link between short-term child-robot interactions and long-term child-human interactions. We report on a therapy model that uses a robot in no more...
Lifting a heavy object is regarded as a frequently performed motion that imposes physical strains on workers. The objective of this study is to verify the effectiveness of forearm support-type lift assist system (FOLAS) for lifting motion in the sagittal plane. The mechanical structure of the FOLAS is largely divided into a forearm support and a parallel motion arm; the forearm support has no fixture...
A requirement for human friendly robot had increased dramatically with the demand of assistive robotic technology that having direct interaction with human. One of the examples is the cooperative object transfer performed by two humans. We are aiming at generating a smooth and natural cooperative object transfers performed by a human and robotic system. Prior to the development of such system, the...
Bristol Elumotion Robot Torso Version 2 (BERT2) is a humanoid robot currently in development at Bristol Robotics Laboratory (BRL). In this paper we present the current state of development and demonstrate how the integration of several advanced subsystems (of commercial and non-commercial nature) within a heterogeneous computing infrastructure enables us to construct a unique platform ideally suited...
Everyone is familiar with the scenario, people demand or assign tasks to robots, and robots execute the tasks to serve people. We call such a model Serve-on-Demand. With the advancement of pervasive computing, machine learning and artificial intelligence, the robot service of the next generation will inevitably turn to actively and exactly meet people's needs, even without explicit demand. We call...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.