1,952 research outputs found
On the Integration of Adaptive and Interactive Robotic Smart Spaces
© 2015 Mauro Dragone et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. (CC BY-NC-ND 3.0)Enabling robots to seamlessly operate as part of smart spaces is an important and extended challenge for robotics R&D and a key enabler for a range of advanced robotic applications, such as AmbientAssisted Living (AAL) and home automation. The integration of these technologies is currently being pursued from two largely distinct view-points: On the one hand, people-centred initiatives focus on improving the userâs acceptance by tackling human-robot interaction (HRI) issues, often adopting a social robotic approach, and by giving to the designer and - in a limited degree â to the final user(s), control on personalization and product customisation features. On the other hand, technologically-driven initiatives are building impersonal but intelligent systems that are able to pro-actively and autonomously adapt their operations to fit changing requirements and evolving usersâ needs,but which largely ignore and do not leverage human-robot interaction and may thus lead to poor user experience and user acceptance. In order to inform the development of a new generation of smart robotic spaces, this paper analyses and compares different research strands with a view to proposing possible integrated solutions with both advanced HRI and online adaptation capabilities.Peer reviewe
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When users control the algorithms: Values expressed in practices on the twitter platform
Recent interest in ethical AI has brought a slew of values, including fairness, into conversations about technology design. Research in the area of algorithmic fairness tends to be rooted in questions of distribution that can be subject to precise formalism and technical implementation. We seek to expand this conversation to include the experiences of people subject to algorithmic classification and decision-making. By examining tweets about the âTwitter algorithmâ we consider the wide range of concerns and desires Twitter users express. We find a concern with fairness (narrowly construed) is present, particularly in the ways users complain that the platform enacts a political bias against conservatives. However, we find another important category of concern, evident in attempts to exert control over the algorithm. Twitter users who seek control do so for a variety of reasons, many well justified. We argue for the need for better and clearer definitions of what constitutes legitimate and illegitimate control over algorithmic processes and to consider support for users who wish to enact their own collective choices
End-User Development for Artificial Intelligence: A Systematic Literature Review
In recent years, Artificial Intelligence has become more and more relevant in
our society. Creating AI systems is almost always the prerogative of IT and AI
experts. However, users may need to create intelligent solutions tailored to
their specific needs. In this way, AI systems can be enhanced if new approaches
are devised to allow non-technical users to be directly involved in the
definition and personalization of AI technologies. End-User Development (EUD)
can provide a solution to these problems, allowing people to create, customize,
or adapt AI-based systems to their own needs. This paper presents a systematic
literature review that aims to shed the light on the current landscape of EUD
for AI systems, i.e., how users, even without skills in AI and/or programming,
can customize the AI behavior to their needs. This study also discusses the
current challenges of EUD for AI, the potential benefits, and the future
implications of integrating EUD into the overall AI development process.Comment: This version did not undergo peer-review. A corrected version is
published by Springer Nature in the Proceedings of 9th International Syposium
on End-User Development (ISEUD 2023). DOI:
https://doi.org/10.1007/978-3-031-34433-6_
Seven HCI Grand Challenges
This article aims to investigate the Grand Challenges which arise in the current and emerging landscape of rapid technological evolution towards more intelligent interactive technologies, coupled with increased and widened societal needs, as well as individual and collective expectations that HCI, as a discipline, is called upon to address. A perspective oriented to humane and social values is adopted, formulating the challenges in terms of the impact of emerging intelligent interactive technologies on human life both at the individual and societal levels. Seven Grand Challenges are identified and presented in this article: Human-Technology Symbiosis; Human-Environment Interactions; Ethics, Privacy and Security; Well-being, Health and Eudaimonia; Accessibility and Universal Access; Learning and Creativity; and Social Organization and Democracy. Although not exhaustive, they summarize the views and research priorities of an international interdisciplinary group of experts, reflecting different scientific perspectives, methodological approaches and application domains. Each identified Grand Challenge is analyzed in terms of: concept and problem definition; main research issues involved and state of the art; and associated emerging requirements
Challenging the Need for Transparency, Controllability, and Consistency in Usable Adaptation Design
Adaptive applications constitute the basis for many ubiquitous computing scenarios as they can dynamically adapt to changing contexts. The usability design principles transparency, controllability, and consistency have been recommended for the design of adaptive interfaces. However, designing self-adaptive applications that may act completely autonomous is still a challenging task because there is no set of usability design guidelines. Applying the three principles in the design of the five different adaptations of the mobile adaptive application Meet-U revealed as difficult. Based on an analysis of the design problem space, we elaborate an approach for the design of usable adaptations. Our approach is based on a notification design concept which calculates the attention costs and utility benefits of notified adaptations by varying the design aspects transparency and controllability. We present several designs for the adaptations of MeetâU. The results of a user study shows that the notification design approach is beneficial for the design of adaptations. Varying transparency and controllability is necessary to adjust an adaptationâs design to the particular context of use. This leads to a partially inconsistent design for adaptations within an application
Personalityzation: UI Personalization, Theoretical Grounding in HCI and Design Research
Personalization is an effective means for accommodating differences between individuals. Therefore, the personalization of a systemâs user interface (UI) features can enhance usability. To date, UI personalization approaches have been largely divorced from psychological theories of personality, and the user profiles constructed by extant personalization techniques do not map directly onto the fundamental personality traits examined in the psychology literature. In line with recent calls to ground the design of information systems in behavioral theory, we maintain that personalization that is informed by psychology literature is advantageous. More specifically, we advocate an approach termed âpersonalityzationâ, where UI features are adapted to an explicit model of a userâs personality. We demonstrate the proposed personalityzation approach through a proof-of-concept in the context of social recommender systems. We identify two key contributions to information systems research. First, extending prior works on adaptive interfaces, we introduce a UI personalization framework that is grounded in psychology theory of personality. Second, we reflect on how our proposed personalityzation framework could inform the discourse in design research regarding the theoretical grounding of systemâs design
Modern Socio-Technical Perspectives on Privacy
This open access book provides researchers and professionals with a foundational understanding of online privacy as well as insight into the socio-technical privacy issues that are most pertinent to modern information systems, covering several modern topics (e.g., privacy in social media, IoT) and underexplored areas (e.g., privacy accessibility, privacy for vulnerable populations, cross-cultural privacy). The book is structured in four parts, which follow after an introduction to privacy on both a technical and social level: Privacy Theory and Methods covers a range of theoretical lenses through which one can view the concept of privacy. The chapters in this part relate to modern privacy phenomena, thus emphasizing its relevance to our digital, networked lives. Next, Domains covers a number of areas in which privacy concerns and implications are particularly salient, including among others social media, healthcare, smart cities, wearable IT, and trackers. The Audiences section then highlights audiences that have traditionally been ignored when creating privacy-preserving experiences: people from other (non-Western) cultures, people with accessibility needs, adolescents, and people who are underrepresented in terms of their race, class, gender or sexual identity, religion or some combination. Finally, the chapters in Moving Forward outline approaches to privacy that move beyond one-size-fits-all solutions, explore ethical considerations, and describe the regulatory landscape that governs privacy through laws and policies. Perhaps even more so than the other chapters in this book, these chapters are forward-looking by using current personalized, ethical and legal approaches as a starting point for re-conceptualizations of privacy to serve the modern technological landscape. The bookâs primary goal is to inform IT students, researchers, and professionals about both the fundamentals of online privacy and the issues that are most pertinent to modern information systems. Lecturers or teacherscan assign (parts of) the book for a âprofessional issuesâ course. IT professionals may select chapters covering domains and audiences relevant to their field of work, as well as the Moving Forward chapters that cover ethical and legal aspects. Academicswho are interested in studying privacy or privacy-related topics will find a broad introduction in both technical and social aspects
Enhancing portuguese public services: prototype of a mobile application with a digital assistant
Trabalho de projeto apresentado Ă Escola Superior de Comunicação Social como parte dos requisitos para obtenção de grau de mestre em Audiovisual e MultimĂ©dia.A inteligĂȘncia artificial (IA) estĂĄ a transformar a forma como interagimos com a tecnologia, incluindo a
forma como os cidadĂŁos acedem e interagem com os serviços pĂșblicos. Portugal desenvolveu uma
estratĂ©gia nacional para a adoção da IA, a fim de melhorar a experiĂȘncia e o envolvimento dos cidadĂŁos,
com destaque para a inclusĂŁo digital e a digitalização da administração pĂșblica. Apesar dos progressos, o
paĂs estĂĄ atrasado em relação a outros paĂses da UniĂŁo Europeia no que respeita Ă transformação digital.
Para simplificar e modernizar os serviços pĂșblicos, Portugal introduziu o portal ePortugal, que inclui o
chatbot âSigmaâ e uma assistente virtual, que neste momento ainda se encontra numa versĂŁo de teste.
A adoção de sistemas de IA conversacional, como os assistentes de voz e os chatbots, tem o potencial de
reduzir os encargos administrativos, melhorar a acessibilidade e aumentar a participação dos cidadãos. Este
projeto visa conceber uma aplicação móvel para o ePortugal, que inclui uma assistente digital equipada
com funcionalidades de texto e voz.ABSTRACT:
Artificial intelligence (AI) is transforming the way we interact with technology, including how citizens
access and engage with government services. Portugal has developed a national strategy for AI adoption to
improve the citizen experience and engagement, with a focus on digital inclusion and the digitalization of
public administration. Despite progress, the country lags behind other European Union countries in digital
transformation. To simplify and modernize public services, Portugal has introduced the ePortugal portal,
featuring a chatbot named âSigmaâ and a virtual assistant that is currently being tested.
The adoption of conversational AI systems, such as voice assistants and chatbots, has the potential to reduce
administrative burdens, improve accessibility, and enhance citizen engagement. This project aims to design
the ePortugal mobile application, featuring a digital assistant equipped with both text and voice
functionalities.N/
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