In recent years, Augmented Reality (AR) based mobile games have become popular among players. The Pokémon Go is one of the well-known examples. Although Pokémon Go game has become a global phenomenon, there is a limited study about players' experiences in the gameplay. Especially, little is known about players' engagement and immersion in playing AR-based mobile games in which physical movements in the real world are largely required to play the game. In this study, we conducted a pilot study with eight participants to investigate players' engagement, immersion, and experiences in the Pokémon Go gameplay. We report and discuss the preliminary findings from the study, which can help game designers understand players' experiences in the gameplay so that they can design more creative AR games in the future. Furthermore, the findings are also useful for future studies with larger sample size.

Flower arrangement is enjoyed all over the world as a way of gardening and in decoration of rooms. However, it is difficult to make arrangements as beautiful as possible for beginners. Some rules about layout and color combination of flower arrangement are required in order for beginners to beautifully arrange the flowers. Moreover, the process is sometimes unreversible; that is, if a user cuts a stem too short, it may irrevocably spoil the arrangement. To solve these problems, we propose a computer-supported flower arrangement simulator, "CADo", which helps beginners enjoy flower arrangements using familiar materials. The name CADo is a combination of Kado (the Japanese art of flower arrangement) and CAD (computer aided design). CADo helps users with arrangement suggestions based on traditional layout and color combination of flower arrangement, and instructs users on how to cut flowers and to arrange them step by step. First, we performed a feasibility study to implement the proper rules of flower arrangement to our system, after which the system was built and developed. Finally, we verified the effectiveness of our system through evaluative experiment.

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.

We propose a novel search technique called IteMinder that helps users find property in a room using passive RFID and an autonomous robot. First, we attach RFID tags to the target items and at typical locations in a room. We also attach an RFID reader and a laser rangefinder to the robot. The robot can move around the entire room automatically while avoiding obstacles using the laser rangefinder. When the robot finds a tagged item, it uploads the tag ID and location information to the database. Users can then browse target items and their locations on a common web browser.

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.

In this demonstration paper we will present our test application which has been designed for using geosensor network (GSN) nodes with low-rate communication. Our demonstration will show how GSN nodes can be used in low-rate networks based standardized binary encoding communication. The designed geosensor application has been created over the Locawe platform which is a location-aware system platform in CENTRIA Research and Development, Finland.

In this research, we addressed the problem of visualizing route histories on a mobile device. We developed a solution, which combines the visualization of three route history parameters: speed, direction, and location. The visualization was tested in a laboratory evaluation with 12 subjects. The results showed that by using the visualization the subjects were able to estimate actual driving speeds accurately. The subjects also evaluated that the visualization supported their knowledge of the speed, location, and direction quite well. The results suggest that the presented visualization is an improvement over currently used route history visualizations.

In this paper we present a suggestion for a next generation mobile GIS architecture. The proposed architecture enables to use GIS data also in mobile devices and to handle information received from local sensors. The architecture has been used to design CENTRIA Locawe platform, which has been tested in several field experiments. This platform has been used in various industrial pilots and prototypes, which have proven that Locawe platform can be used efficiently in developing location-aware services for both in outdoor as well as indoor environments.

In this paper we present techniques for selecting one's current location in mobile location-based systems. We present Locawe (Location-aware System Platform) and four alternative location selection techniques, which are physical selection using RFID technology, automatic selection based on GPS coordinates, selection from a mobile map with a stylus, and a textual selection technique involving a virtual keyboard and a selection list. These techniques have been tested in real mobile applications.

The aim of this research was to explore the navigational effects of two common features in current mobile roadmap systems: automatic rotation based on the vehicle's direction of movement and speed-dependent automatic zooming. 12 subjects tried four different visualization techniques for a mobile map in real traffic: no rotation/constant zooming, no rotation/automatic zooming, automatic rotation/constant zooming, and automatic rotation/automatic zooming. The subjects rated the techniques on four scales: position knowledge support, direction knowledge support, identification of real-world objects based on map objects and an overall score. The results showed that conditions involving automatic rotation and/or zooming got systematically more positive ratings on all scales than the conditions without those features. The implementation of automatic zooming created for this experiment was rated as very close to optimal. These results suggest that both automatic rotation and automatic zooming can enhance navigation when implemented to a mobile roadmap.