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www.urn.fi/URN:NBN:fi-fe2022012510246
www.theseus.fi/bitstrea...01_kansi.pdf (Satakunnan ammattikorkeakoulu - Theseus)
The pandemic has affected all areas of life with education being no different. Distance learning has become the new normal in all levels of education. Learning analytics as a tool best utilized by the abundance of data should now be more lucrative and needed than ever. Prior to the change, we surveyed the students of two Finnish higher education institutes, Helsinki University and Satakunta University of Applied Sciences, about their opinions, attitudes and expectations of learning analytics and ethics associated with it. This study is a follow-up surveying only the students of university of applied sciences and aims to find changes that might have been brought forth by the sudden and drastic switch to distance learning only. In addition, this was a chance to gather information on the students’ experiences on distance learning, and how they feel about the so called new normal. The results seem to indicate that while students' expectations towards learning analytics haven't changed, their attitudes to security of their data and ethical conduction of analytics have become significantly stricter. We also found out that students have diverse feelings about distance learning in general, indicating changes required to post-pandemic education.
www.urn.fi/URN:NBN:fi-fe2021120959949
www.theseus.fi/bitstrea...ndEvents.pdf (Satakunnan ammattikorkeakoulu - Theseus)
www.urn.fi/URN:NBN:fi-fe202001273515
www.theseus.fi/bitstrea...n_binder.pdf (Satakunnan ammattikorkeakoulu - Theseus)
www.urn.fi/URN:NBN:fi:amk-2019102420155
www.theseus.fi/bitstrea...ducation.pdf (Satakunnan ammattikorkeakoulu - Theseus)
www.urn.fi/URN:NBN:fi-fe202001243376
www.theseus.fi/bitstrea...ors_JSIE.pdf (Satakunnan ammattikorkeakoulu - Theseus)
www.urn.fi/URN:NBN:fi-fe2021120959943
www.theseus.fi/bitstrea...13-12809.pdf (Satakunnan ammattikorkeakoulu - Theseus)
During a pandemic, it is imperative that all staff members have up-to-date information on changing work practices in the healthcare environment. This article presents a way to implement work environment orientation amongst different groups in care facilities by utilizing mobile robots, radio frequency identification (RFID) technologies, and data synthesis. We offer a scenario based on a co-design approach, in which a mobile robot works as an orientation guide for new employees, RFID tags are applied on objects around the premises and people’s clothing. The mobile robot takes advantage of the information provided by its known location and each RFID tag read by the RFID reader integrated with the robot. We introduce the scenario here, along with the details of its practical test implementation. Further, the challenges met in the test implementation are discussed as well as the future potential of its application. In conclusion, our study indicates that repetitive training and orientation-related duties can be successfully transferred to a mobile robot. Through RFID, the mobile robot can deliver the relevant information to the right people and thus contribute to patient and personnel safety and the resource efficiency of the orientation process.
www.urn.fi/URN:NBN:fi-fe20201211100338
www.theseus.fi/bitstrea..._392-Ori.pdf (Satakunnan ammattikorkeakoulu - Theseus)
Background: The ageing of the population represents a significant challenge, however, it is also a huge potential driver for innovation. Technology development capabilities are rapidly increasing, which enables new, innovative solutions when considering the ageing population. Objective: To promote the successful development and implementation of new technologies (in this case, smart furniture), positive user feedback and experiences are required. Methods: In this study, several modular smart furniture prototypes were developed, offering a potential solution to several challenges associated with ageing. The aim was to investigate which features positively affect user experience and consequently form the basis for smart, ageing-friendly furniture design guidelines. The smart furniture systems consisted of five prototypes: Fall Detection system with assistive Mobile Robot, ReAbleChair, Magic Mirror, Smart Gaming Chair, and 3D printed handles. These prototypes were presented to seniors in a home-like environment, after which participants completed a questionnaire and were interviewed. The themes used in the semi-structured interview followed the structure of Jesse Garrett’s user experience framework. Results: The most essential feature was found to be modularity, or the ability to customize solutions according to the end user’s capabilities and needs. In addition, results highlight that smart furniture should be aesthetically pleasing whilst still serving its primary purpose (i.e. as an item of furniture). Administrative components of the software should be removed from the end user’s User Interface (UI) and integrated in a separate UI, to simplify the end user’s interaction with the technology. Installation and customization services, as well as value-adding services (i.e. monitoring) were seen to offer potential. Conclusions: In general, the user experiences were positive. Smart features were readily accepted as part of the furniture prototypes, with hidden technologies offering the opportunity to design functional furniture to assist the older adults. In particular, smart furniture offers the potential to foster independent and high-quality living, without the stigma often associated with senior-targeted assistive devices. In addition to proving feedback on the smart furniture prototypes, the information gathered provided an excellent foundation for future smart furniture guideline development.
www.urn.fi/URN:NBN:fi-fe202101212311
www.theseus.fi/bitstrea...unicipal.pdf (Satakunnan ammattikorkeakoulu - Theseus)
Global greenhouse gas emission targets are being translated on to EU level and further to national level targets. Finland aims to be a forerunner in actions, knowhow and goals to reduce greenhouse gas emissions. As a part of updating Satakunta Climate and Energy Strategy a survey on municipal energy efficiency measures was sent to city mayors, technical directors and environmental engineers/environmental inspectors. The survey focused on centralized energy production, transport development plans, renewable energy production plans, industrial plants, emission offsets (compensations), circular economy measures, municipal construction plans and use of buildings, food services and municipal planning. 12 municipalities of 17 in the region answered the survey. Because municipalities in Satakunta vary in sizes from 1 500 to 84 000 people, there are also energy efficiency measures in very different ranges. This is important to take into consideration while making conclusions about the municipalities. The survey showed that municipalities are more committed to energy efficiency measures than increasing the use of renewable energy. Energy efficiency measures usually save the municipality money at least in a long run, as increasing renewables may need a lot of resources and investment in the early stage in the investment process. This makes energy efficiency measures so much more appealing and approachable to municipalities.
www.urn.fi/URN:NBN:fi-fe2023042739240
www.theseus.fi/bitstrea...phc_2023.pdf (Satakunnan ammattikorkeakoulu - Theseus)
www.urn.fi/URN:NBN:fi-fe202103046501
www.theseus.fi/bitstrea...on_study.pdf (Satakunnan ammattikorkeakoulu - Theseus)
BACKGROUND: Over-ground robotic lower limb exoskeletons are safe and feasible in rehabilitation with individuals with spinal cord injury (SCI) and stroke. Information about effects on stroke rehabilitees is scarce and descriptions of learning process and user experience is lacking. OBJECTIVE: The objectives of this study were to describe how rehabilitees learn exoskeleton use, to study effects of exoskeleton assisted walking (EAW) training, and to study rehabilitees’ user experiences. METHODS: One-group pre-test post-test pre-experimental study involved five rehabilitees with stroke or traumatic brain injury (TBI). Participants in chronic phase underwent twice a week an 8-week training intervention with Indego exoskeleton. Process of learning to walk and the level of assistance were documented. Outcome measurements were conducted with 6-minute and 10-meter walk tests (6MWT, 10mWT). User experience was assessed with a satisfaction questionnaire. RESULTS: Rehabilitees learnt to walk using the exoskeleton with the assistance from 2-3 therapists within two sessions and progressed individually. Three participants improved their results in 10mWT, four in 6MWT. The rehabilitees felt comfortable and safe when using and exercising with the device. CONCLUSION: Indego exoskeleton may be beneficial to gait rehabilitation with chronic stroke or TBI rehabilitees. The rehabilitees were satisfied with the exoskeleton as a rehabilitation device. Keywords: Exoskeleton, neurological rehabilitation, gait, robotics, stroke, traumatic brain injury
www.urn.fi/URN:NBN:fi-fe2021121060099
www.theseus.fi/bitstrea....0258676.pdf (Satakunnan ammattikorkeakoulu - Theseus)
www.urn.fi/URN:NBN:fi-fe202001314176
www.theseus.fi/bitstrea...mmais_en.pdf (Satakunnan ammattikorkeakoulu - Theseus)
A big challenge for library visitors has always been the great amount of information and how to find new interesting and available content quickly and easily. From libraries’ point of view, the challenge is how to offer different kinds of reader profiles with reading suggestions in a fast, efficient and entertaining way. Library classification rigorously guides the search for information but doesn’t serve all user profiles that well. Many users want to discover content across genre boundaries but at the same time stick to interesting themes. Headai created mobile application with six distinctive, AI-based recommenders for the Helsinki Central Library Oodi. Based on their own areas of interest, these virtual assistants provide visitors with interesting reading suggestions. The service design goes hand in hand with Oodi’s modern architecture and the role of forerunner of libraries in Finland harnessing new technology to serve visitors. To support the idea of virtual assistants, it was natural to use chat-like user interface. Every recommender was designed to have their own personality. AI-assisted book recommenders act as great enthusiasts in serving reading suggestions. At the same time, they utilize many available APIs to enrich the visitor’s experience. The intuitive user interface makes the use very fast and easy. An artificial-intelligence-based book suggesting is a good example of a new technology that can add value to library content and automate repetitive information routines.