“I’ve had it!” Group therapy for interdisciplinary researchers

In this workshop, we reflect on and share the fun and frustrations of working in interdisciplinary research. We ask participants to openly reflect on their experiences of interdisciplinarity. What approaches have worked and what have failed? In addition to identifying phenomena, we aim to sketch out the next decade of interdisciplinary research in computing, especially in HCI. The third paradigm of Human-Computer Interaction focuses on the qualitative aspects of use experience and the situatedness of technologies. This new orientation has drawn in researchers from various other research and arts backgrounds and traditions, including the social sciences, architecture and industrial design among others. Therefore, we consider this third paradigm to be inherently interdisciplinary. Through workshop participants’ reflection of their own experiences, we strive to identify the common problems and pitfalls of interdisciplinary research, and to celebrate successes, as well as share best practices.

From Industry X to Industry 6.0: Antifragile Manufacturing for People, Planet, and Profit with Passion

This white paper addresses the potential pathways the Finnish industry must take in order to be the strategic leader and driver towards defining “Industry 6.0”. The recent global economic situation has revealed that the Finnish industry is affected by risks caused by the pandemic, global supply chains and dependency of suppliers all around the world. Therefore, we need to build up a completely new industrial revolution, in which antifragility is the design principle to increase our resilience to future stressors and global shocks. Like earlier industrial revolutions, advances in technology have paved the way to creating growth and well-being. Disruptive technologies, such as 3D printing and AI are an opportunity in localization of manufacturing back to Finland. The global climate crisis requires us to be at the forefront of a strategy that creates an impact on the environment, economy, and society. Here, the Finnish ICT expertise can solve problems, as long as the support of taking research results out into the industry is supported. The essential component in creating intelligent solutions and new business is data. Long-term development programs are needed for understanding what the use of data unlike ever before will imply for businesses, customers, ethics and regulations.Industry 6.0 is defined in this paper as “Ubiquitous, customer-driven, virtualized, antifragile manufacturing”. It is characterized on one hand by customer-centric, highly customized lot-size-1 thinking, on the other hand by hyperconnected factories, with dynamic supply chains, where data flows across domains. These also change the role of humans as productions workers, as they become part of the interconnected environment and need to handle the digital, optimized production. While we already have strengths that prepare us to lead the next industrial revolution, we also have serious shortcomings. We need to raise the level of ICT knowledge across the industry; we need multidisciplinary research, development and innovation, and a strategy for long-term public commitment and significant investments.We propose that Finland assumes a strong vision: Industry 6.0 is defined in Finland by proactive game-changing actions. This vision is realized in a long-term commitment to implementing an agenda of the following. 1) Finland nominates a Science and Technology minister to steer the activities. Their task would be to steer the implementation of the agenda holistically. 2) Current smart-specialization strategies need to be specified more carefully in order to utilize funding from the European Regional Development Fund (ERDF) more efficiently and in a coordinated matter. 3) Creation of the Virtual Industry 6.0 University, and approximately 10 new Industrial ICT professors and additional postdocs are needed to fill the gaps. 4) Creation of a test factory opening access of the environments broadly and serving as a testbed for Finnish winning platforms. With the network-based test factory, we can create a new pilot model in Finland combining the models of smart specialization, smart co-creation and shared RDI environments to ensure our industrial competitiveness. 5) Establishing a digital transformation accelerator for Finnish industry, aligning the accelerator to European Digital Innovation Hubs selections.</p

6G White Paper on Edge Intelligence

In this white paper we provide a vision for 6G Edge Intelligence. Moving towards 5G and beyond the future 6G networks, intelligent solutions utilizing data-driven machine learning and artificial intelligence become crucial for several real-world applications including but not limited to, more efficient manufacturing, novel personal smart device environments and experiences, urban computing and autonomous traffic settings. We present edge computing along with other 6G enablers as a key component to establish the future 2030 intelligent Internet technologies as shown in this series of 6G White Papers. In this white paper, we focus in the domains of edge computing infrastructure and platforms, data and edge network management, software development for edge, and real-time and distributed training of ML/AI algorithms, along with security, privacy, pricing, and end-user aspects. We discuss the key enablers and challenges and identify the key research questions for the development of the Intelligent Edge services. As a main outcome of this white paper, we envision a transition from Internet of Things to Intelligent Internet of Intelligent Things and provide a roadmap for development of 6G Intelligent Edge

The Many Faces of Edge Intelligence

Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.Peer reviewe

The Many Faces of Edge Intelligence

Peer reviewe

Towards engaging multipurpose public displays:design space and case studies

Abstract This dissertation seeks to identify and discuss challenges related to the engagement process of multipurpose public displays (MPD) in urban spaces. MPD is a public display concept based on the current emergence of passive public displays, which again is part of the growth of digital signage as a medium for commercial and non-commercial content. MPDs are separated from contemporary public displays by two traits: interactivity and new use cases. Due to these traits, a better understanding of the potential of the MPD concept is needed, and this, in its turn, necessitates both a systematic and a multidisciplinary approach. The investigation on the MPD concept and its related engagement process carried out in this thesis is divided into two phases. First, the theoretical phase is based on an extensive and analytical literature review and results in a theoretical framework based on two contributions: a layered design space for capturing the challenges related to design of MPDs in a systematic way, as well as formulation of a three-phase engagement process to model the engaging of MPDs in practice. These two formalizations facilitate reasoning on different aspects of MPD design, and thus scaffold future designs and deployments. Second, the empirical phase is based on a collection of case studies each of which investigates selected sections of the overall theoretical framework along with serving to illustrate how the sections under investigation operationalize in practice. The overall contribution of this dissertation is thus both to lay out a framework for a wider research area, as well as to raise selected findings as part of the framework through the case studies. The findings derived on the basis of the design space, as well as the engagement process indicate the complexity of the design process for MPDs, even in cases where only the aspects of human-computer interaction (HCI) are considered. They also serve to raise the importance of non-functional issues in real-world MPD deployments, most notably, the mental models embodied by current public displays that citizens implicitly transfer over to MPDs as well. For future designs, careful leveraging of existing practices and mental models is crucial to facilitate the adoption of MPDs and to fully realize their potential as flexible urban computing tools.Tiivistelmä Tämä väitöskirja pyrkii tunnistamaan ja analysoimaan monikäyttöisten julkisten näyttöjen (multipurpose public display, MPD) käyttöön liittyviä haasteita. MPD on uusi kaupunkitiloissa olevien julkisten näyttöjen konsepti, joka perustuu nykyisten passiivisten julkisten näyttöjen sekä niissä esitettävän digitaalisen kyltityksen (digital signage) pohjalle. MPD eroaa konseptitasolla nykyisistä julkisista näytöistä pääasiassa kahdella tavalla: interaktiivisuudella sekä uusilla käyttötarkoituksilla. Näistä eroavaisuuksista sekä kaupunkitilojen yleisemmästä luonteesta johtuen MPD-konseptin parempi ymmärrys ja sitä kautta hyödyntäminen tulevaisuudessa edellyttää sekä järjestelmällistä että tieteidenvälistä tutkimusotetta. Tässä työssä tehty tutkimus jakaantuu ylimmällä tasollaan kahteen vaiheeseen. Ensimmäinen teoreettinen vaihe pohjautuu laajaan kirjallisuuskatsaukseen ja kulminoituu teoreettiseen viitekehykseen, joka koostuu kahdesta osasta. Ensimmäinen osa on kerroksittainen suunnitteluavaruus (design space), jossa pyritään MPD-konseptiin liittyvien haasteiden ja mahdollisuuksien kartoittamiseen tutkimuksen nykytila huomioonottaen. Toinen osa on teorisoitu esitys MPD-konseptin käyttöprosessista (engagement process) kaupunkilaisten näkökulmasta koostuen kolmesta osittain limittyvästä vaiheesta. Nämä kaksi teoreettista osaa tarjoavat pohjaa MDP-konseptiin pohjautuvalle suunnittelulle tulevaisuudessa. Toinen empiirinen vaihe rakentuu kolmen tapaustutkimuksen kokoelmasta, jossa jokainen yksittäinen tapaustutkimus pohjautuu tiettyihin esitetyn teorian osa-alueisiin ja näin ollen myös esittelee, miten suunitteluavaruus sekä käyttöprosessin malli voivat realisoitua käytännössä. Työn kontribuutio koostuu siis laajemman teoreettisen kehyksen muodostamisesta sekä tämän kehyksen määrittämässä fokuksessa tehdyistä tapaustutkimuksista. Työssä saavutetut tulokset auttavat hahmottamaan MPD-konseptiin liittyvän suunnittelun kompleksisuutta tilanteissa, joissa on keskitytty pääasiassa ihminen-kone vuorovaikutuksen (human-computer interaction, HCI) tutkimiseen. Tapaustukimukset nostavat esille myös ns. non-funktionaalisten tekijöiden roolin autenttisissa kaupunkitiloissa tapahtuvassa empiirisessä ja konstruktiivisessa tutkimuksessa. Tässä tärkeään rooliin nousevat etenkin niin kutsutut mentaalimallit, joiden kautta kaupunkilaiset hahmottavat MPD-konseptia. Työn tulosten perusteella voidaan todeta, että MPD-konseptiin pohjautuvassa suunnittelussa tulee korostaa olemassa olevien urbaanien sosiokulttuuristen käytäntöjen roolia. Näin MPD-konseptin käytöstä voidaan tulevaisuudessa saada sujuvampaa ja luontevampaa, ja MPD-konsepti voisi tulevaisuudessa olla keskeisempi osa urbaania sosiokulttuurista rakennetta