The Experts below are selected from a list of 103245 Experts worldwide ranked by ideXlab platform
Peshala G. Jayasekara - One of the best experts on this subject based on the ideXlab platform.
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IROS - Proxemics and Approach Evaluation by Service Robot Based on User Behavior in Domestic Environment
2018 IEEE RSJ International Conference on Intelligent Robots and Systems (IROS), 2018Co-Authors: S. M. Bhagya, P. Samarakoon, H. P. Chapa Sirithunge, M. A. Viraj, J. Muthugala, A. G. Buddhika, Peshala G. JayasekaraAbstract:Intelligent service robots are used at a significant level to uplift the living standards of Domestic users. These robots are expected to possess human-friendly interactive features. Service robots should be able to provide a variety of tasks to support independent living of users in Domestic Environments. Therefore, a service robot often needs to approach users to execute these services and the approach toward the users should be human friendly. In order to achieve this, proxemics planner of a service robot should be cable of deciding the approaching proxemics based on user behavior. This paper proposes a method to decide the approaching proxemics based on the behavior of the user. A fuzzy interference system has been designed to decide the proxemics based on the user behavior identified through body parameters. This leads to an effective interaction mechanism initiated by a robot in such a way that the approaching scenario looks more humanlike. The proposed concept has been implemented on MIRob platform and experiments were conducted in an artificially created Domestic Environment. The experimental results of the proposed system have been compared with results of a human study to evaluate the performance of the system.
Dimitrios Tzovaras - One of the best experts on this subject based on the ideXlab platform.
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HCI (8) - Human Aware Robot Navigation in Semantically Annotated Domestic Environments
Lecture Notes in Computer Science, 2016Co-Authors: Ioannis Kostavelis, Dimitrios Giakoumis, Sotiris Malassiotis, Dimitrios TzovarasAbstract:In the near future, the seamless human robot cohabitation can be achieved as long as the robots to be released in the market attain socially acceptable behavior. Therefore, robots need to learn and react appropriately, should they be able to share the same space with people and to adapt their operation to human’s activity. The goal of this work is to introduce a human aware global path planning solution for robot navigation that considers the humans presence in a Domestic Environment. Towards this direction, hierarchical semantic maps are built upon metric maps where the human presence is modelled using frequently visited standing positions considering also the proxemics theory. During the human’s perambulation within the Domestic Environment the most probable humans pathways are calculated and modeled with sequential, yet descending Gaussian kernel’s. This way, the robot reacts with safety when operating in a Domestic Environment taking into consideration the human presence and the physical obstacles. The method has been evaluated on a simulated Environment, yet on realistic acquired data modeling a real house space and exhibited remarkable performance.
Maarten Steinbuch - One of the best experts on this subject based on the ideXlab platform.
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A representation method based on the probability of collision for safe robot navigation in Domestic Environments
Autonomous Robots, 2018Co-Authors: Janno Lunenburg, René Molengraft, Maarten SteinbuchAbstract:This paper introduces a three-dimensional volumetric representation for safe navigation. It is based on the OctoMap representation framework that probabilistically fuses sensor measurements to represent the occupancy probability of volumes. To achieve safe navigation in a Domestic Environment this representation is extended with a model of the occupancy probability if no sensor measurements are received, and a proactive approach to deal with unpredictably moving obstacles that can arise from behind occlusions by always expecting obstacles to appear on the robot’s path. By combining the occupancy probability of volumes with the position uncertainty of the robot, a probability of collision is obtained. It is shown that by relating this probability to a safe velocity limit a robot in a real Domestic Environment can move close to a certain maximum velocity but decides to attain a slower safe velocity limit when it must, analogous to slowing down in traffic when approaching an occluded intersection.
Maarten Nauta - One of the best experts on this subject based on the ideXlab platform.
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food safety in the Domestic Environment the effect of consumer risk information on human disease risks
Risk Analysis, 2008Co-Authors: Maarten Nauta, A R H Fischer, Esther Van Asselt, Aarieke E I De Jong, L J Frewer, Robert De JongeAbstract:The improvement of food safety in the Domestic Environment requires a transdisciplinary approach, involving interaction between both the social and natural sciences. This approach is applied in a study on risks associated with Campylobacter on broiler meat. First, some web-based information interventions were designed and tested on participant motivation and intentions to cook more safely. Based on these self-reported measures, the intervention supported by the emotion "disgust" was selected as the most promising information intervention. Its effect on microbial cross-contamination was tested by recruiting a set of participants who prepared a salad with chicken breast fillet carrying a known amount of tracer bacteria. The amount of tracer that could be recovered from the salad revealed the transfer and survival of Campylobacter and was used as a measure of hygiene. This was introduced into an existing risk model on Campylobacter in the Netherlands to assess the effect of the information intervention both at the level of exposure and the level of human disease risk. We showed that the information intervention supported by the emotion "disgust" alone had no measurable effect on the health risk. However, when a behavioral cue was embedded within the instruction for the salad preparation, the risk decreased sharply. It is shown that a transdisciplinary approach, involving research on risk perception, microbiology, and risk assessment, is successful in evaluating the efficacy of an information intervention in terms of human health risks. The approach offers a novel tool for science-based risk management in the area of food safety.
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food safety in the Domestic Environment an interdisciplinary investigation of microbial hazards during food preparation
Risk Analysis, 2007Co-Authors: A R H Fischer, Esther Van Asselt, Aarieke E I De Jong, L J Frewer, Robert De Jonge, Maarten NautaAbstract:It has been established that, to a considerable extent, the Domestic hygiene practices adopted by consumers can result in a greater or lesser microbial load in prepared meals. In the research presented here, an interdisciplinary study is reported in which interviews, observations of consumers preparing a recipe, and microbial contamination of the finished meals were compared. The results suggest that, while most consumers are knowledgeable about the importance of cross-contamination and heating in preventing the occurrence of foodborne illness, this knowledge is not necessarily translated into behavior. The adoption of habitual cooking practices may also be important. Potentially risky behaviors were, indeed, observed in the Domestic food preparation Environment. Eighteen of the participants made errors in food preparation that could potentially result in cross-contamination, and seven participants allowed raw meat juices to come in contact with the final meal. Using a tracer microorganism the log reduction as a result of consumer preparation was estimated at an average of log 4.1 cfu/salad. When combining these findings, it was found that cross-contamination errors were a good predictor for log reduction. Procedural food safety knowledge (i.e., knowledge proffered after general open questions) was a better predictor of efficacious bacterial reduction than declarative food safety knowledge (i.e., knowledge proffered after formal questioning). This suggests that motivation to prepare safe food was a better indicator of actual behavior than knowledge about food safety per se.
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improving food safety in the Domestic Environment the need for a transdisciplinary approach
Risk Analysis, 2005Co-Authors: A R H Fischer, Aarieke E I De Jong, L J Frewer, Robert De Jonge, Maarten NautaAbstract:Microbial food safety has been the focus of research across various disciplines within the risk analysis community. Natural scientists involved in food microbiology and related disciplines work on the identification of health hazards, and the detection of pathogenic microorganisms. To perform risk assessment, research activities are increasingly focused on the quantification of microbial contamination of food products at various stages in the food chain, and modeling the impact of this contamination on human health. Social scientists conduct research into how consumers perceive food risks, and how best to develop effective risk communication with consumers in order to improve public health through improved food handling practices. The two approaches converge at the end of the food chain, where the activities regarding food preparation and food consumption are considered. Both natural and social sciences may benefit from input and expertise from the perspective of the alternative discipline, although, to date, the integration of social and natural sciences has been somewhat limited. This article therefore explores the potential of a transdisciplinary approach to food risk analysis in terms of delivering additional improvements to public health. Developing knowledge arising from research in both the natural and social sciences, we present a novel framework involving the integration of the two approaches that might provide the most effective way to improve the consumer health associated with food-borne illness.
Saekyung Jung - One of the best experts on this subject based on the ideXlab platform.
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CSCW Companion - The effect of interaction modality for facial-constrained robots in Domestic Environment
Proceedings of the 2013 conference on Computer supported cooperative work companion - CSCW '13, 2013Co-Authors: Ji Min RHIM, Heeyun Ku, Saekyung JungAbstract:There is an increase in the number of functional-service robots in a Domestic Environment. Although most of functional-service robots are lack expressive faces, research that supports social interaction between users and facial-constrained robots are limited. This study investigated what interaction modalities can be effectively used for naturalistic social interaction between users and facial-constrained robots in a Domestic Environment. We applied non-facial and non-verbal interaction methods for representing robots' state. We conducted a 3 (modalities: motion vs. light vs. sound) within-participants experiment (N=25). Using motion was the most familiar way of interaction between a user and a non-facial robot. Also, robots' perceived sociality was associated with people's preference for robots. This study shows evidence that robots' motion would be helpful for users to understand the robots' mind in a social manner; furthermore, it would enhance users' acceptance of robots.