Patterns of Meaningful and Meaningless Smartphone Use:A Diary Study

Smartphones are highly popular, addictive everyday items which have raised concerns about over-dependency. This has led to a wealth of research on smartphone overuse albeit exploration of how habitual or phone overuse contrasts with purposeful or more meaningful use has been limited. To address this gap, this paper reports a one week diary study with 20 users. Findings highlight the distinction between pragmatic and eudemonic activities supporting meaningful use, and of hedonic activities associated with habitual use. We suggest a more nuanced conversation of habitual and meaning smartphone use. We conclude with two design implications including support for pragmatic experiences augmented with hedonic content and support for meaningful use rather than limiting meaningless use

How Reminders of Current Usage Affect Problematic and Objectively Measured Smartphone Usage

Probleemne nutitelefonikasutus (PNK) on liigne, personaalsele ja sotsiaalsele elule negatiivsete tagajärgedega seotud nutitelefoni kasutamine. Varasemalt on näidatud kõrgema PNK seoseid erinevate psüühikahäirete sümptomite tõsiduse, füüsiliste vaevuste ja ka muude igapäevaelu puudutavate probleemidega. Käesolevas töös uurisin objektiivselt mõõdetud nutitelefonikasutuse näitajate seoseid PNK-ga ning senise nutitelefonikasutuse meeldetuletuste/teadete mõju kasutusele ja/või PNK-le. PNK-d mõõtsin lühendatud eestikeelse Nutitelefonisõltuvuse Küsimustikuga (E-SAPS18) ning kasutusandmete kogumiseks ja teadete kuvamiseks oli rakendus App Usage – Manage/Track Usage. Ööpäevane keskmine kasutusaeg kogu uuringu vältel oli positiivselt seotud enesekohaselt raporteeritud kõrgema PNK-ga, kuid ööpäevane keskmine kasutuskordade arv ei olnud seotud kõrgema PNK-ga. Meeldetuletused vastava päeva kasutuse kohta avaldasid mõju ööpäevase keskmise kasutusaja vähendamisele, kuid mitte ööpäevase keskmise kasutuskordade ega PNK vähendamisele. Antud uurimistöö aitab paremini mõista PNK-d

EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier

Emotion recognition by artificial intelligence (AI) is a challenging task. A wide variety of research has been done, which demonstrated the utility of audio, imagery, and electroencephalography (EEG) data for automatic emotion recognition. This paper presents a new automated emotion recognition framework, which utilizes electroencephalography (EEG) signals. The proposed method is lightweight, and it consists of four major phases, which include: a reprocessing phase, a feature extraction phase, a feature dimension reduction phase, and a classification phase. A discrete wavelet transforms (DWT) based noise reduction method, which is hereby named multi scale principal component analysis (MSPCA), is utilized during the pre-processing phase, where a Symlets-4 filter is utilized for noise reduction. A tunable Q wavelet transform (TQWT) is utilized as feature extractor. Six different statistical methods are used for dimension reduction. In the classification step, rotation forest ensemble (RFE) classifier is utilized with different classification algorithms such as k-Nearest Neighbor (k-NN), support vector machine (SVM), artificial neural network (ANN), random forest (RF), and four different types of the decision tree (DT) algorithms. The proposed framework achieves over 93 % classification accuracy with RFE + SVM. The results clearly show that the proposed TQWT and RFE based emotion recognition framework is an effective approach for emotion recognition using EEG signals.</p

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject

Quantifying Quality of Life

Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject

Use of Drawing as a Communication Tool for alleviating digital anxiety: Exploring digital anxiety in smart mobile users

The ever-present smart mobile device has changed the everyday life of users in both positive and negative ways, and connects users’ lives online and offline. The existence of fewer gaps between online and offline worlds has shaped a new form of social relationship, new ways of thinking, and had sparked changes in smart mobile users’ behaviour. This thesis investigates the problem of digital anxiety among smart mobile users. The aim of this research project is to investigate how digital drawing affects digital anxiety in the smart mobile user. The research is based on the premise that drawing is a communication tool, and it investigates what types of digital drawing content help the smart mobile user relieve their digital anxiety. This research proposes guidelines for the use of drawing to help the smart mobile user who is experiencing digital anxiety. First, I established digital anxiety as a theoretical construct, and then conducted exploratory studies to investigate the practical problems faced by the smart mobile user. I determined the meaning of digital anxiety, and the precise symptoms experienced by the user suffering from digital anxiety, through a theoretical framework and an exploratory study. Lastly, I conducted empirical studies aimed at designing a method of measuring the level of digital anxiety. This method was tested with hundreds of participants, and was used for conducting the digital drawing experiment at the end of my research project. Overall, this thesis establishes the scope for determining digital anxiety, provides a method of quantifying digital anxiety, and demonstrates the use of digital drawing to relieve digital anxiety in the smart mobile user. I conclude that my research investigates the use of drawing as a communication tool for smart mobile users as a way of improving their memory, emotional wellbeing, and social relationships. I hope my research can serve as a guideline or a methodology in the design of an educational programme or high-tech industries on the basis of a cognition-mediated model

EVA London 2022: Electronic Visualisation and the Arts

The Electronic Visualisation and the Arts London 2022 Conference (EVA London 2022) is co-sponsored by the Computer Arts Society (CAS) and BCS, the Chartered Institute for IT, of which the CAS is a Specialist Group. Of course, this has been a difficult time for all conferences, with the Covid-19 pandemic. For the first time since 2019, the EVA London 2022 Conference is a physical conference. It is also an online conference, as it was in the previous two years. We continue with publishing the proceedings, both online, with open access via ScienceOpen, and also in our traditional printed form, for the second year in full colour. Over recent decades, the EVA London Conference on Electronic Visualisation and the Arts has established itself as one of the United Kingdom’s most innovative and interdisciplinary conferences. It brings together a wide range of research domains to celebrate a diverse set of interests, with a specialised focus on visualisation. The long and short papers in this volume cover varied topics concerning the arts, visualisations, and IT, including 3D graphics, animation, artificial intelligence, creativity, culture, design, digital art, ethics, heritage, literature, museums, music, philosophy, politics, publishing, social media, and virtual reality, as well as other related interdisciplinary areas. The EVA London 2022 proceedings presents a wide spectrum of papers, demonstrations, Research Workshop contributions, other workshops, and for the seventh year, the EVA London Symposium, in the form of an opening morning session, with three invited contributors. The conference includes a number of other associated evening events including ones organised by the Computer Arts Society, Art in Flux, and EVA International. As in previous years, there are Research Workshop contributions in this volume, aimed at encouraging participation by postgraduate students and early-career artists, accepted either through the peer-review process or directly by the Research Workshop chair. The Research Workshop contributors are offered bursaries to aid participation. In particular, EVA London liaises with Art in Flux, a London-based group of digital artists. The EVA London 2022 proceedings includes long papers and short “poster” papers from international researchers inside and outside academia, from graduate artists, PhD students, industry professionals, established scholars, and senior researchers, who value EVA London for its interdisciplinary community. The conference also features keynote talks. A special feature this year is support for Ukrainian culture after its invasion earlier in the year. This publication has resulted from a selective peer review process, fitting as many excellent submissions as possible into the proceedings. This year, submission numbers were lower than previous years, mostly likely due to the pandemic and a new requirement to submit drafts of long papers for review as well as abstracts. It is still pleasing to have so many good proposals from which to select the papers that have been included. EVA London is part of a larger network of EVA international conferences. EVA events have been held in Athens, Beijing, Berlin, Brussels, California, Cambridge (both UK and USA), Canberra, Copenhagen, Dallas, Delhi, Edinburgh, Florence, Gifu (Japan), Glasgow, Harvard, Jerusalem, Kiev, Laval, London, Madrid, Montreal, Moscow, New York, Paris, Prague, St Petersburg, Thessaloniki, and Warsaw. Further venues for EVA conferences are very much encouraged by the EVA community. As noted earlier, this volume is a record of accepted submissions to EVA London 2022. Associated online presentations are in general recorded and made available online after the conference

Enhanced Living Environments

This open access book was prepared as a Final Publication of the COST Action IC1303 “Algorithms, Architectures and Platforms for Enhanced Living Environments (AAPELE)”. The concept of Enhanced Living Environments (ELE) refers to the area of Ambient Assisted Living (AAL) that is more related with Information and Communication Technologies (ICT). Effective ELE solutions require appropriate ICT algorithms, architectures, platforms, and systems, having in view the advance of science and technology in this area and the development of new and innovative solutions that can provide improvements in the quality of life for people in their homes and can reduce the financial burden on the budgets of the healthcare providers. The aim of this book is to become a state-of-the-art reference, discussing progress made, as well as prompting future directions on theories, practices, standards, and strategies related to the ELE area. The book contains 12 chapters and can serve as a valuable reference for undergraduate students, post-graduate students, educators, faculty members, researchers, engineers, medical doctors, healthcare organizations, insurance companies, and research strategists working in this area

Applied Cognitive Sciences

Cognitive science is an interdisciplinary field in the study of the mind and intelligence. The term cognition refers to a variety of mental processes, including perception, problem solving, learning, decision making, language use, and emotional experience. The basis of the cognitive sciences is the contribution of philosophy and computing to the study of cognition. Computing is very important in the study of cognition because computer-aided research helps to develop mental processes, and computers are used to test scientific hypotheses about mental organization and functioning. This book provides a platform for reviewing these disciplines and presenting cognitive research as a separate discipline