Kano-sarnase mudeli kasutamine avatud innovatsiooni saavutamiseks nõuete analüüsi protsessis

Kui viiakse läbi nõuete analüüsi (inglise k Requirements Engineering, lühend RE), siis sageli järjestatakse nõuded nende olulisuse alusel (inglise k requirements prioritization), et saada selgust, milliste välja pakutud nõuetega funktsioon peaks tarkvaral olemas olema, seega sõltub tarkvara analüüsist tarkvara majandusliku väärtuse suurendamisega seotud otsuste tegemine. Tänapäeval arenevad tooted väga kiiresti ning ka nõuete olulisuse alusel järjestamine (inglise k requirements prioritization) on muutunud kiiremaks. Ettevõtted sooviksid saada kasutajatelt kiiret tagasisidet selle kohta, mis peaks olema järgmises mudelis olemas. Üks häid lahendusi sellele on Kano mudel (inglise k Kano model). Kano mudel selgitab välja kasutajate rahulolu ja toodete tunnuste vahelise suhte. See meetod liigitab kasutajate eelistused nende tähtsuse järjekorras, seega toetab see ka nõuete olulisuse järjekorra moodustamist. Aga Kano mudeli rakendamine on kallis ja aeganõudev ning seda ei saa kiiresti korrata. Veelgi enam – see mudel on keeruline väikeste ettevõtete jaoks, sest neil ei tarvitse olla piisavalt rahalisi jm vahendeid, et kasutajatega ühendust võtta ja neid intervjueerida. See omakorda paneb väikesed ettevõtted, eriti just idufirmad, ebavõrdsesse olukorda suurte ettevõtetega. Et sellele probleemile lahendust leida ja Kano mudeli kasutuselevõttu lihtsamaks ning odavamaks teha, arvame, et Kano mudelit tuleks arendada kahel viisil. Esiteks tuleks kasutada tasuta võrgus leiduvaid kirjalikke andmeid, mida saaks asendada intervjueeritavatelt kogutud vastustega. Teiseks – selleks, et hakkama saada võrgust kogutud kirjalike andmete suure mahuga, ning et kaasa aidata korrapärastele analüüsidele, peaks andmete analüüsimine olema automaatne. Selle uurimuse eesmärk on välja pakkuda meetodeid, et kasutajate avamusi, mis on võrgus saadavatest vabadest allikatest kogutud, (semi-)automaatselt liigitada, ja seda selleks, et aidata otsustajatel otsustada, millised tarkvara nõuded järgmises mudelis kindlasti olemas peaksid olema. Et seda uurimuse eesmärki saavutada, pakume me välja avatud innovatsiooni nõuete analüüsi (OIRE) meetodi, mille abil saavad tarkvarafirmad parema ülevaate kasutajate vajadustest ja sellest, kuivõrd rahul on nad olemasolevate toodetega.When Requirements Engineering (RE) is applied, requirements analysis is often used to determine which candidate requirements of a feature should be included in a software release. This plays a crucial role in the decisions made to increase the economic value of software. Nowadays, products evolve fast, and the process of requirements prioritization is becoming shorter as well. Companies benefit from receiving quick feedback from end users about what should be included in subsequent releases. One effective approach supporting requirements prioritization is the Kano model. The Kano model defines the relationship between user satisfaction and product features. It is a method used to classify user preferences according to their importance, and in doing so, supports requirements prioritization. However, implementing the Kano model is costly and time-consuming, and the application of the Kano model cannot be repeated quickly. Moreover, this is even more difficult for small companies because they might not have sufficient funds and resources to contact end users and conduct interviews. This puts small businesses, especially start-ups, at an unfair disadvantage in competing with big companies. To address this problem and make the application of the Kano model simpler, faster, and cheaper, we propose evolving the Kano model in two aspects. First, free online text data should be used to replace responses collected from interviewees. Second, in order to handle the higher amount of data that can be collected from free online text data and in order to facilitate frequent analyses, the data analysis process should be automated. The goal of this research is to propose methods for (semi-)automatically classifying user opinions collected from online open sources (e.g., from online reviews) to help decision-makers decide which software requirements to include in subsequent product versions. To achieve this research goal, we propose the Open Innovation in Requirements Engineering (OIRE) method to help software organizations gain a better understanding of user needs and satisfaction with existing products. A key element of the OIRE method is its Kano-like model. This Kano-like model mimics the traditional Kano model, except that it uses data from online reviews instead of interviews conducted with select focus groups.https://www.ester.ee/record=b527385

An Exploratory Factor Analysis: Factors that Influence Employers Disposition to Hire and Retain Persons with Disabilities

Despite the laws that are in place to ensure equal employment opportunities for persons with disabilities, there continues to be a disparity in employment rates for persons with disabilities when compared to persons without disabilities. Understanding factors that influence employers disposition to hire and retain persons with disabilities is the first step towards developing a guide for professionals that provide direct job placement services to this population in developing an educational intervention plan that is conducive to employers being more receptive to hiring persons with disabilities. Currently there are many studies that focus on employers’ attitudes towards hiring and retaining persons with disabilities from different perspectives. The purpose of this study is to survey and explore factors that influence employer’s disposition to hire and retain persons with disabilities and devise a scale that goes beyond attitudes. The survey instrument was developed based on review of the literature. To assess the factor structure and internal consistency of the scale an exploratory factor analysis was performed on the survey response items to establish reliability and validity. The present study presents an instrument that goes beyond attitudes towards hiring and retaining persons with disabilities. The scale also assesses knowledge areas related to The Americans with Disabilities Act, disability and employer resources for persons with disabilities. Data was collected from employers located in Cameron and Hidalgo counties located in the Border Region of South Texas (N = 190). The results from the exploratory factor analysis provided a four-factor solution with 16 items. The factors were labeled Fears and Concerns, Employers Resources for Persons with Disabilities, ADA Competence and Knowledge of Disability. The scale demonstrated overall internal consistency of .709. The discussion focuses on utility of the scale, recommendations for future research and limitations for the study

Evaluation of a three-hour cross disciplinary internship site supervisor training session

Given the importance of supervision in the counseling fields for facilitating trainee growth, the frequency, type, and delivery of supervision varies widely and can be limited or nonexistent (Pearson, 2004). Thus, a supervisor in any counseling profession must have strong supervisory skills that match the needs of the trainee, even if their professional skills and background differ (Davies et al., 2004). This study examined the effectiveness of a professional development training for school counseling, rehabilitation counseling and school psychology site supervisors. Results demonstrated significant improvements in participant confidence in Managing Supervision as well as general improvements in self-reported self-efficacy. Future directions for supporting the ongoing professional development of supervisors is discussed

Geological map of the Tocomar Basin (Puna Plateau, NW Argentina): Implication for the geothermal system investigation

This paper presents a detailed geological map at the 1:20,000 scale of the Tocomar basin in the Central Puna (north-western Argentina), which extends over an area of about 80 km2 and displays the spatial distribution of the Quaternary deposits and the structures that cover the Ordovician basement and the Tertiary sedimentary and volcanic units. The new dataset includes litho-facies descriptions, stratigraphic and structural data and new 234U/230Th ages for travertine rocks. The new reconstructed stratigraphic framework, along with the structural analysis, has revealed the complex evolution of a small extensional basin including a period of prolonged volcanic activity with different eruptive centres and styles. The geological map improves the knowledge of the geology of the Tocomar basin and the local interplay between orogen-parallel thrusts and orogen-oblique fault systems. This contribution represents a fundamental support for in depth research and also for encouraging geothermal exploration and exploitation in the Puna Plateau regionFil: Filipovich, Ruben Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Baez, Walter Ariel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Groppelli, Gianluca. CNR Istituto di Geologia Ambientale e Geoingegneria; ItaliaFil: Ahumada, Maria Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Aldega, Luca. Università degli Studi di Roma "La Sapienza"; ItaliaFil: Becchio, Raul Alberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Berardi, Gabriele. Università Roma Tre III; ItaliaFil: Bigi, Sabina. Università degli Studi di Roma "La Sapienza"; ItaliaFil: Caricchi. Chiara. Istituto Nazionale di Geofisica e Vulcanologia; ItaliaFil: Chiodi, Agostina Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Corrado, Sveva. Università Roma Tre III; ItaliaFil: De Astis, Gianfilippo. Istituto Nazionale di Geofisica e Vulcanologia; ItaliaFil: De Benedetti, Arnaldo Angelo. Università Roma Tre III; ItaliaFil: Invernizzi, Chiara. Universita Degli Di Camerino; ItaliaFil: Norini, Gianluca. CNR Istituto di Geologia Ambientale e Geoingegneria; ItaliaFil: Soligo, Michele. Università Roma Tre III; ItaliaFil: Taviani, Sara. University of Milano-Bicocca; ItaliaFil: Viramonte, Jose German. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Salta. Instituto de Bio y Geociencias del NOA. Universidad Nacional de Salta. Facultad de Ciencias Naturales. Museo de Ciencias Naturales. Instituto de Bio y Geociencias del NOA; ArgentinaFil: Giordano, Guido. CNR Istituto di Geologia Ambientale e Geoingegneria; Italia. Università Roma Tre III; Itali

Preparing medical first responders for crises: a systematic literature review of disaster training programs and their effectiveness.

BACKGROUND Adequate training and preparation of medical first responders (MFRs) are essential for an optimal performance in highly demanding situations like disasters (e.g., mass accidents, natural catastrophes). The training needs to be as effective as possible, because precise and effective behavior of MFRs under stress is central for ensuring patients' survival and recovery. This systematic review offers an overview of scientifically evaluated training methods used to prepare MFRs for disasters. It identifies different effectiveness indicators and provides an additional analysis of how and to what extent the innovative training technologies virtual (VR) and mixed reality (MR) are included in disaster training research. METHODS The systematic review was conducted according to the PRISMA guidelines and focused specifically on (quasi-)experimental studies published between January 2010 and September 2021. The literature search was conducted via Web of Science and PubMed and led to the inclusion of 55 articles. RESULTS The search identified several types of training, including traditional (e.g., lectures, real-life scenario training) and technology-based training (e.g., computer-based learning, educational videos). Most trainings consisted of more than one method. The effectiveness of the trainings was mainly assessed through pre-post comparisons of knowledge tests or self-reported measures although some studies also used behavioral performance measures (e.g., triage accuracy). While all methods demonstrated effectiveness, the literature indicates that technology-based methods often lead to similar or greater training outcomes than traditional trainings. Currently, few studies systematically evaluated immersive VR and MR training. CONCLUSION To determine the success of a training, proper and scientifically sound evaluation is necessary. Of the effectiveness indicators found, performance assessments in simulated scenarios are closest to the target behavior during real disasters. For valid yet inexpensive evaluations, objectively assessible performance measures, such as accuracy, time, and order of actions could be used. However, performance assessments have not been applied often. Furthermore, we found that technology-based training methods represent a promising approach to train many MFRs repeatedly and efficiently. These technologies offer great potential to supplement or partially replace traditional training. Further research is needed on those methods that have been underrepresented, especially serious gaming, immersive VR, and MR

Combining Kangaroo Care and Live-Performed Music Therapy:Effects on Physiological Stability and Neurological Functioning in Extremely and Very Preterm Infants

Interventions such as kangaroo care (KC) and live-performed music therapy (LPMT), are increasingly used to facilitate stress reduction in neonates. This study aims to investigate the effect of combining the two on physiological responses and neurological functioning in very preterm infants. Infants received six sessions of LPMT. KC was added to one LPMT session. Physiological responses included heart rate, respiratory rate and oxygen saturation. We videotaped infants for 30 min before and after two sessions to assess general movements (GMs). We included 17 infants, gestational age median 26.0 weeks (IQR 25.6–30.6 weeks), of whom six were males. Combined interventions showed a decrease in heart rate from mean 164 bpm before to 157 bpm during therapy, p = 0.001. Oxygen saturation levels increased during combination therapy from median 91.4% to 94.5%, p = 0.044. We found no effects of LPMT or combined interventions on GMs. Infants with a postnatal age (PNA) 7 days. In conclusion, combining interventions is equally beneficial for physiological stability and neurological functioning as LPMT alone. Future studies should focus on the effects of this combination on parent-infant bonding

Semantic embodied navigation : developing agents that navigate from language and vision

Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In this work, we seek to develop agents that accomplish semantic goals using the lens of semantic embodied navigation. In embodied navigation, agents act in spatial environments to follow a motion path or reach a destination. Semantic refers to how the goal is specified; instead of directly (e.g. coordinates), a goal is implied or its interpretations are constrained. We study two semantic embodied navigation tasks: navigating in response to natural language instructions and navigating to an object specified by an image. Our contributions are highlighted as follows. For both tasks, we establish benchmarks in simulation and evaluate baseline models. For language-based navigation, we develop language-conditioned waypoint prediction networks to study the impact of various action spaces. We then show that high performance on our benchmark can be achieved by transferring an agent from highly-abstract simulation to lower-level simulation. For image-based navigation, we find that a common sensors-to-action policy generalizes poorly to new environments and new goals. We then develop a modular method centered around an object re-identification sub-task that achieves strong performance on our simulation benchmark and successfully transfers to the real world

Childhood behavioral symptoms and identification of symptoms in women diagnosed with ADHD as adults

Tavoitteet. Aktiivisuuden ja tarkkaavuuden häiriö eli ADHD (Attention-Deficit/Hyperactivity Disorder) on kehityksellinen neuropsykiatrinen häiriö. Tutkielman tarkoituksena oli selvittää, mi-tä käyttäytymispiirteitä aikuisena ADHD-diagnosoidut naiset tunnistavat ilmenneen lapsena ennen murrosikää, mitä oireita ilmoitettiin ilmenneen yhdessä ja sopivatko ilmoitetut oireet ter-veydenhuollon käyttämiin diagnoosikriteereihin. Lisäksi tavoite oli selvittää, mitkä olivat ylei-simmät syyt hakeutua aikuisena ADHD-tutkimuksiin. Hoitamattoman ADHD:n on todettu olevan yhteydessä masennukseen, koulutuksesta syrjäytymiseen ja lisäävän riskiä päihteiden käytöl-le. Varhainen tunnistaminen ja tukitoimien oikea kohdentaminen vähentää terveysriskejä ja pa-rantaa elämänlaatua. Menetelmät. Tutkielman aineisto kerättiin sähköisellä kyselylomakkeella, jonka ADHD-liitto jul-kaisi sosiaalisessa mediassa Facebook-sivullaan huhtikuussa 2020. Lomake laadittiin teo-rialähtöisesti tätä tutkielmaa varten Helsingin yliopiston E-lomake -ohjelmalla. Tutkittavat (n = 360) olivat aikuisikäisenä ADHD-diagnosoituja 20–50-vuotiaita naisia, jotka retrospektiivisesti arvioivat omia lapsuusaikaisia ADHD-oireitaan. Aineiston analysoinnissa käytettiin määrällisiä menetelmiä, ja se toteutettiin IBM SPSS Statistics 25 -ohjelmalla. Tulokset ja johtopäätökset. Yleisimmin raportoidut ADHD-oireet käsittivät tarkkaavuuden sääte-lyä, epäjärjestelmällisyyttä, pienimuotoista motorista levottomuutta sekä emotionaalista ja ver-baalista impulsiivisuutta. Yleisimmin raportoituja oireita raportoitiin ilmenneen yhdessä, mutta yhteisesiintyvyystarkastelussa oli joidenkin oireiden osalta havaittavissa myös suurta vaihtelua. Yhdestätoista yleisimmin ilmoitetuista oireesta vain kolme oli suoraan yhdistettävissä käytössä oleviin diagnoosikriteereihin. Yleisimmät syyt aikuisena ADHD-tutkimuksiin hakeutumiseen oli-vat omien oireiden tunnistaminen, aikaisemmin diagnosoitu masennus sekä läheisiltä saadun palautteen vuoksi. Tämän tutkielman perusteella käytössä olevat diagnoosikriteerit eivät kata riittävästi tyttöjen ADHD-oireiden ilmenemisen ulottuvuuksia, joista ylikeskittymiseen rinnastet-tava uppoutuminen leikkeihin ajantajun menettäen sekä yksityiskohtiin takertuminen olivat ylei-simpien oireiden joukossa. Tulokset ovat yhdenmukaisia aikaisemman tutkimustiedon kanssa; diagnoosikriteerit perustuvat ADHD-pojista saatuihin tutkimustietoihin.Tiivistelmä - Referat - Abstract Objective. Attention deficit/hyperactivity disorder (ADHD) is developmental neurobiological disability. The aim of the current study was to examine what symptoms women diagnosed as adults with ADHD recognize emerged in their childhood before puberty, which symptoms were reported to manifest together and whether the reported symptoms fit the diagnostic criteria used by health care. In addition, the aim was to find out which were the most common reasons to apply for support as an adult. Untreated ADHD has been found to be associated with depression, exclusion from education, and an increased risk of substance use. Early identification and proper targeting of support measures can reduce health risks and improve quality of life. Method. The data were collected through the online survey, that the Finnish ADHD Association published on social media carried on the social network service Facebook in April 2020. The questionnaire was made based on previous research for this study, and was created with the E-lomake -program of the University of Helsinki. The participants (n = 360) were women diagnosed with ADHD in adulthood, aged 20 to 50 years, who retrospectively assessed their own ADHD symptoms in childhood. The data thus gathered was analysed using statistical methods in the IBM SPSS Statistics 25 -program. Results and conclusions. The most commonly reported symptoms of ADHD included attentional regulation, systemicity, minor motor restlessness, and emotional and verbal impulsivity. The most common symptoms were reported to be co-occurring, but the review of also showed large variability for some symptoms. Of the eleven most commonly reported symptoms, only three were directly related to the diagnostic criteria in use. The most common reasons for applying assessment of ADHD as an adult were the identification of one's own symptoms, previously diagnosed depression, and feedback from close relatives. Based on this thesis, the diagnostic criteria in use do not adequately cover the dimensions of girls ’ ADHD symptoms are expressed. Two of the common symptoms were absorption in games intense and losing sense of time, that is comparable to with hyperfocusing, and clinging to details. The results are consistent with previous research data; the diagnostic criteria are based on research data obtained from boys with ADHD