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Saaskilahti K.,University of Oulu | Kangaskorte R.,University of Oulu | Luimula M.,CENTRIA Research and Development | Yli-Hemminki J.,CENTRIA Research and Development
ACM International Conference Proceeding Series

Monitoring the state of the environment has traditionally based on remote monitoring systems maintained by official organizations and institutions. A development of mobile and ubiquitous computing opens new possibilities to collect geosensor data directly from user's environment as in situ measurements. In the current paper, we describe a geosensor network (GSN) solution between mobile devices and wireless geosensor nodes based on usability criteria. The results showed that it is possible to create in situ measurements which are reliable and robust enough even in extreme conditions such as low temperatures with ice and snow. Users experienced that the developed GSN solution was easy to use and the visualization of the collected data on the small screen of mobile device was evaluated as a level of satisfactory. The amount and speed of feedback about user's actions was found important in this data gathering system. In addition, the overall usability of the system correlated with system feedback. As a result, we suggest that this solution is usable and robust even in extreme winter conditions. The challenge is still in energy consumption which was not in the centre of this research. © 2010 ACM. Source

Jamsa J.,CENTRIA Research and Development | Pieska S.,CENTRIA Research and Development | Luimula M.,Turku University of Applied Sciences | Siio I.,Ochanomizu University | Komatsuzaki M.,Ochanomizu University
3rd IEEE International Conference on Cognitive Infocommunications, CogInfoCom 2012 - Proceedings

Inter-cognitive communication plays the key role in the development of engineering applications where natural and artificial cognitive systems should work together efficiently. Situation-awareness is essential in that cooperation. The focus of this study is to report our experiences and applications of situation-aware robots and transporters. Industrial robots are an important part of production in several fields of current industry. Mobile robots and wheeled transporters such as forklift trucks will in the future be key elements in material handling and transporting tasks in production and in warehouses. In addition, robots will also play key roles in wellness services in response to the aging population. Situation-awareness and especially location-awareness is essential in the development of efficient human-robot interaction. In the future, cognitive communication processes between operators and intelligent transporters may benefit from many features developed for intelligent traffic systems. We also present our experiences from the development a of situation-aware traffic system. © 2012 IEEE. Source

Saaskilahti K.,University of Oulu | Kangaskorte R.,University of Oulu | Pieska S.,CENTRIA Research and Development | Jauhiainen J.,CENTRIA Research and Development | Luimula M.,Turku University of Applied Sciences
Proceedings - IEEE International Workshop on Robot and Human Interactive Communication

The population in the world is getting older and the need for the new technical solutions supporting independent life of elderly people is increasing. The needs and expectations of the senior people are the most important factors that define the acceptance of such solutions. In the current paper, we study qualitatively with few older adults how a service robot with a multimodal control interface can support people in this phase of life. The results reveal that multimodality of the control interface and functionalities involving safety and entertainment are very important for end-user acceptance. The user acceptance increases if the available functionalities can be customized for different users and if the commands for both screen-based and voice-based control use the same words and phrases. This approach also allows to decrease the memory load on the user. The possibility to customize the interfaces could open broad possibilities to use the robot also by the disabled people. © 2012 IEEE. Source

Luimula M.,CENTRIA Research and Development | Saaskilahti K.,University of Oulu | Partala T.,Tampere University of Technology | Pieska S.,CENTRIA Research and Development | Alaspaa J.,CENTRIA Research and Development
Personal and Ubiquitous Computing

In the current article, we address the problem of constructing radiofrequency identification (RFID)- augmented environments for mobile robots and the issues related to creating user interfaces for efficient remote navigation with a mobile robot in such environments. First, we describe an RFID-based positioning and obstacle identification solution for remotely controlled mobile robots in indoor environments. In the robot system, an architecture specifically developed by the authors for remotely controlled robotic systems was tested in practice. Second, using the developed system, three techniques for displaying information about the position and movements of a remote robot to the user were compared. The experimental visualization techniques displayed the position of the robot on an indoor floor plan augmented with (1) a video view from a camera attached to the robot, (2) display of nearby obstacles (identified using RFID technology) on the floor plan, and (3) both features. In the experiment, test subjects controlled the mobile robot through predetermined routes as quickly as possible avoiding collisions. The results suggest that the developed RFID-based environment and the remote control system can be used for efficient control of mobile robots. The results from the comparison of the visualization techniques showed that the technique without a camera view (2) was the fastest, and the numberof steering motions made was smallest using this technique, but it also had the highest need for physical human interventions. The technique with both additional features(3) was subjectively preferred by the users. The similarities and differences between the current results and those found in the literature are discussed. © Springer-Verlag London Limited 2009. Source

Jamsa J.,CENTRIA Research and Development | Luimula M.,CENTRIA Research and Development
Proceedings - IEEE International Conference on Mobile Data Management

In this seminar, advanced car navigation services will be introduced. In the future, mobile phones will be our main source of information, both inside vehicles and on the roadside. Furthermore, high-speed connections will enable data exchange between nearby vehicles. In this advanced seminar, CENTRIA's usage of Nokia Ovi Maps' interface will be introduced as an example of a situation-aware traffic service. CENTRIA has used a wireless sensor network (2,4GHz) as well as an ODB2 bus for a vehicle communication channel. In addition, information about the driver's health condition was accessed using wireless heart-rate sensors. Roadside environmental information, in turn, was collected using roadside sensors at a frequency of 868MHz. This advanced seminar will also demonstrate how sensor information can be visualized in car navigation. First of all, CENTRIA gained roadside visualization experience and in-vehicle sensor information from their experience with Nokia Ovi Maps. CENTRIA is able to visualize collected sensor data, such as weather, driver, and vehicle information, by utilizing the Nokia Terminal Mode. In addition, critical information, such as alarms, can be accessed from the server through the Nokia Push Notification service, even when navigation services are not in use. All the participants will have an opportunity to test the system. © 2011 IEEE. Source

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