Search results for "äly"
showing 10 items of 361 documents
Naturalistic study on the usage of smartphone applications among Finnish drivers
2018
We present results from a naturalistic study that tracked how Finnish drivers use their smartphones while on the move. We monitored 30 heavy in-car smartphone users in Finland during June–September 2016, recording the times that they used their phones, the application used at the time of touch (calls excluded), the location and driving speed. Touches per time unit were used as a proxy for estimating visual-manual distraction due to visual-manual tasks. Our data set allows the determining of whether drivers use their phones differently on varying road types (highway, main road, local rural road, urban road). We found that the road type has an effect on phone use but the effect is contrary to…
Esineiden internet luo kodistasi älykkään ympäristön
2015
Esineiden internetiä pidetään seuraavana IT-vallankumouksena, koska kyseinen teknologia rakentaa älykkäitä ympäristöjä tuomalla internetyhteyden esineisiin. Yksi tulevaisuuden älykäs ympäristö voi olla kotimme. Tämä kandidaatintutkielma on kirjallisuuskatsaus, jossa selvitetään, mitä kaikkia hyötyjä esineiden internet mahdollistaa kodeissa nyt ja tulevaisuudessa. Tämä tutkielma auttaa ymmärtämään älykkäiden kotien liiketoiminnallisia mahdollisuuksia ja esineiden internetin tuomaa muutosta kodeissa. Tutkielmassa käsitellään esineiden internetin mahdollistamia hyötyjä kodin terveydenhuollon, kodin turvallisuuden, kodin energiatehokkuuden sekä kodin vaivattomuuden ja mukavuuden saroilla. Tutki…
Developing Solutions For Healthcare : Deploying Artificial Intelligence to an Evolving Target
2017
—The pace of deploying artificial intelligence (AI) techniques to healthcare has been speeding up. Many of the initiatives have been technology driven aiming at finding problems matching the new technology while systematic, demand driven search for solutions has been limited. Here we describe the process of identifying opportunities for deploying artificial intelligence to healthcare and social services on regional and national levels in Finland. The process includes idea generation and elaboration using a design thinking method complemented with architectural design for identifying required AI capabilities for the 34 best use cases. In this paper, we focus on the development of use case “M…
Mechanisms of Smartphone Apps for Cigarette Smoking Cessation: Results of a Serial Mediation Model From the iCanQuit Randomized Trial
2021
Background Engagement with digital interventions is a well-known predictor of treatment outcomes, but this knowledge has had limited actionable value. Instead, learning why engagement with digital interventions impact treatment outcomes can lead to targeted improvements in their efficacy. Objective This study aimed to test a serial mediation model of an Acceptance and Commitment Therapy (ACT) smartphone intervention for smoking cessation. Methods In this randomized controlled trial, participants (N=2415) from 50 US states were assigned to the ACT-based smartphone intervention (iCanQuit) or comparison smartphone intervention (QuitGuide). Their engagement with the apps (primary measure: numb…
Teknologian rooli meditaatioharjoittelussa
2016
Informaatioteknologian kehitys on mahdollistanut meditaatioharjoitteiden tehokkaan leviämisen länsimaisten kulttuurien ulottuville. Digitaalisissa ympäristöissä informaatio leviää erittäin tehokkaasti ja meditaatioharjoitteisiin liittyvään informaatioon törmääminen onkin todennäköisempää kuin koskaan aikaisemmin. Meditoinnin ollaan havaittu edistävän hyvinvointia useilla elämän osa-alueilla ja tuloksien käytännönläheinen soveltaminen edistyy jatkuvasti. Vuosien saatossa informaatioteknologiaa on kehitetty lukuisiin asiayhteyksiin, eikä meditaatioharjoittelu ole jäänyt teknologisen kehityskulun ulkopuolelle. Markkinoilla liikkuu lukuisia erilaisia meditaatioharjoittelua tukevia sovelluksia, …
Instance-Based Multi-Label Classification via Multi-Target Distance Regression
2021
Interest in multi-target regression and multi-label classification techniques and their applications have been increasing lately. Here, we use the distance-based supervised method, minimal learning machine (MLM), as a base model for multi-label classification. We also propose and test a hybridization of unsupervised and supervised techniques, where prototype-based clustering is used to reduce both the training time and the overall model complexity. In computational experiments, competitive or improved quality of the obtained models compared to the state-of-the-art techniques was observed. peerReviewed
Anthropomorphism and social presence in Human–Virtual service assistant interactions: The role of dialog length and attitudes
2022
In this study, we delve into the perceived quality of recommendations provided by AI-based virtual service assistants (VSAs). Specifically, the role of the social presence of VSAs in influencing recommendation perceptions is investigated. We also explore how the social presence of a VSA is formed and how perceived anthropomorphism plays a vital role in shaping social presence and eventually instilling trust in VSAs among consumers. These relationships are examined in the context of online government services. The results indicate that consumer interaction with VSAs - manifesting via perceived anthropomorphism, social presence, dialog length, and attitudes - improves recommendation quality p…
Markerless 2D kinematic analysis of underwater running : A deep learning approach
2018
Kinematic analysis is often performed with a camera system combined with reflective markers placed over bony landmarks. This method is restrictive (and often expensive), and limits the ability to perform analyses outside of the lab. In the present study, we used a markerless deep learning-based method to perform 2D kinematic analysis of deep water running, a task that poses several challenges to image processing methods. A single GoPro camera recorded sagittal plane lower limb motion. A deep neural network was trained using data from 17 individuals, and then used to predict the locations of markers that approximated joint centres. We found that 300–400 labelled images were sufficient to tra…
Accuracy of a computer vision system for estimating biomechanical measures of body function in axial spondyloarthropathy patients and healthy subjects
2023
Objective Advances in computer vision make it possible to combine low-cost cameras with algorithms, enabling biomechanical measures of body function and rehabilitation programs to be performed anywhere. We evaluated a computer vision system's accuracy and concurrent validity for estimating clinically relevant biomechanical measures. Design Cross-sectional study. Setting Laboratory. Participants Thirty-one healthy participants and 31 patients with axial spondyloarthropathy. Intervention A series of clinical functional tests (including the gold standard Bath Ankylosing Spondylitis Metrology Index tests). Each test was performed twice: the first performance was recorded with a camera, and a co…
The Effects of Digitalisation on Accounting Service Companies
2019
Rapidly expanding digitalisation profoundly affects several jobs and businesses in the following years. Some of the jobs are expected to disappear altogether. The expanding digitalisation can be seen as an example of the diffusion of innovations. The world has witnessed similar developments since the early years of industrialisation. Some of the sectors that will face the most disruptive changes are accounting, bookkeeping, and auditing. As much as 94 to 98 per cent of these jobs are at risk. The purpose of this study was to find out how digitalisation, automation of routines, robotics, and artificial intelligence are expected to affect the business structure, organisations, tasks, and empl…