4 Search Results for "Mueller, Florian `Floyd'"


Document
SportsHCI (Dagstuhl Seminar 23292)

Authors: Florian `Floyd' Mueller, Carine Lallemand, Dennis Reidsma, Elise van den Hoven, and Maria F. Montoya

Published in: Dagstuhl Reports, Volume 13, Issue 7 (2024)


Abstract
This report presents the work developed by 22 researchers and academics from across the world gathered for a week in Schloss Dagstuhl, Saarland, Germany, to discuss the future of interactive systems designed to support sport and exercise activity, a field called Sports HCI. Firstly, we present the activities developed day by day, from attendee’s presentations to concrete community actions. Secondly, we show in detail the talks presented by the attendees, the interactivity and demo sessions, the discussion sessions, and the implications of the discussed topics to the Sports HCI field. Finally, we present the Sports HCI design pathways that attendees proposed based on the daily activities developed throughout the seminar. Ultimately, we hope this report inspires and motivates other Dagstuhl seminar proposals interested in the exciting field of HCI.

Cite as

Florian `Floyd' Mueller, Carine Lallemand, Dennis Reidsma, Elise van den Hoven, and Maria F. Montoya. SportsHCI (Dagstuhl Seminar 23292). In Dagstuhl Reports, Volume 13, Issue 7, pp. 108-151, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)


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@Article{mueller_et_al:DagRep.13.7.108,
  author =	{Mueller, Florian `Floyd' and Lallemand, Carine and Reidsma, Dennis and van den Hoven, Elise and Montoya, Maria F.},
  title =	{{SportsHCI (Dagstuhl Seminar 23292)}},
  pages =	{108--151},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{7},
  editor =	{Mueller, Florian `Floyd' and Lallemand, Carine and Reidsma, Dennis and van den Hoven, Elise and Montoya, Maria F.},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.7.108},
  URN =		{urn:nbn:de:0030-drops-197773},
  doi =		{10.4230/DagRep.13.7.108},
  annote =	{Keywords: SportsHCI, Embodiment, Wearables, Mobile Computing}
}
Document
Designing the Human-Machine Symbiosis (Dagstuhl Seminar 23212)

Authors: Ellen Yi-Luen Do, Pattie Maes, Florian `Floyd' Mueller, and Nathan Semertzidis

Published in: Dagstuhl Reports, Volume 13, Issue 5 (2023)


Abstract
Our understanding of computers simply executing tasks is changing towards one where the human and machine enter a symbiosis: computers are increasingly extending human capacity by integrating with bodily senses, thanks to sensor and actuator advances as well as enhanced software developments. Wearables, augmented reality, exoskeletons and implantable devices are all emerging trends that mark the beginning of such a human-machine symbiosis. What is still missing, though, is a thorough understanding of how to design such symbiotic user experiences in a systematic way, as, despite the increase of associated systems entering the market, there is a lack of understanding of how such a human-machine symbiosis emerges and what theoretical frameworks underlie it. Open questions around this topic are concerned with whether such systems can enhance human empowerment, what role a sense of control plays in the associated user experiences, and how to responsibly design devices that all people can benefit from. To begin answering such questions, this Dagstuhl Seminar invites experts from both industry and academia in order to bring together leaders from so far independent streams of investigation to work on a coherent approach to human-machine symbiosis that engages a holistic perspective while considering also societal and ethical issues.

Cite as

Ellen Yi-Luen Do, Pattie Maes, Florian `Floyd' Mueller, and Nathan Semertzidis. Designing the Human-Machine Symbiosis (Dagstuhl Seminar 23212). In Dagstuhl Reports, Volume 13, Issue 5, pp. 136-164, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{do_et_al:DagRep.13.5.136,
  author =	{Do, Ellen Yi-Luen and Maes, Pattie and Mueller, Florian `Floyd' and Semertzidis, Nathan},
  title =	{{Designing the Human-Machine Symbiosis (Dagstuhl Seminar 23212)}},
  pages =	{136--164},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{13},
  number =	{5},
  editor =	{Do, Ellen Yi-Luen and Maes, Pattie and Mueller, Florian `Floyd' and Semertzidis, Nathan},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.13.5.136},
  URN =		{urn:nbn:de:0030-drops-193683},
  doi =		{10.4230/DagRep.13.5.136},
  annote =	{Keywords: Human-Machine Symbiosis, Embodiment, Wearables, Bodily Extensions}
}
Document
Cognitive Augmentation (Dagstuhl Seminar 22491)

Authors: Kai Kunze, Pattie Maes, Florian `Floyd' Mueller, and Katrin Wolf

Published in: Dagstuhl Reports, Volume 12, Issue 12 (2023)


Abstract
Mobile phones and other connected wearable systems transformed the way we interact with information, offering access to vast amounts of knowledge at our fingertips. However, the challenge remains on how to make this information more accessible and intuitive. The field of cognitive augmentation aims to enhance our cognitive abilities through technology, allowing us to interact with digital data more naturally and efficiently. This Dagstuhl Seminar brought together experts in neuroscience, psychology, physiology, wearable computing, human-computer interaction, machine perception, and pattern recognition to discuss the possibility of augmenting our cognitive skills and creating new digital senses. The seminar explored the latest findings in these fields and their potential for improving human performance, productivity, and creativity. Ultimately, the goal is to bridge the gap between humans and machines, enabling a more seamless and intuitive interaction between the two. The main discussion topic centered around the possibilities and challenges of digitally augmenting our cognition.

Cite as

Kai Kunze, Pattie Maes, Florian `Floyd' Mueller, and Katrin Wolf. Cognitive Augmentation (Dagstuhl Seminar 22491). In Dagstuhl Reports, Volume 12, Issue 12, pp. 1-26, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


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@Article{kunze_et_al:DagRep.12.12.1,
  author =	{Kunze, Kai and Maes, Pattie and Mueller, Florian `Floyd' and Wolf, Katrin},
  title =	{{Cognitive Augmentation (Dagstuhl Seminar 22491)}},
  pages =	{1--26},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{12},
  editor =	{Kunze, Kai and Maes, Pattie and Mueller, Florian `Floyd' and Wolf, Katrin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.12.1},
  URN =		{urn:nbn:de:0030-drops-178445},
  doi =		{10.4230/DagRep.12.12.1},
  annote =	{Keywords: augmented humans, augmented reality, wearable computing}
}
Document
Eat-IT: Towards Understanding Interactive Technology and Food (Dagstuhl Seminar 22272)

Authors: Florian `Floyd' Mueller, Marianna Obrist, Soh Kim, Masahiko Inami, and Jialin Deng

Published in: Dagstuhl Reports, Volume 12, Issue 7 (2023)


Abstract
Eating is a basic human need while technology is transforming the way we cook and eat food. For example, see the internet-connected Thermomix cooking appliance, desserts using virtual reality headsets, projection mapping on dinner plates and 3D-printed food in Michelin-star restaurants. Especially within the field of Human-Computer Interaction (HCI), there is a growing interest in understanding the design of technology to support the eating experience. There is a realization that technology can both be instrumentally beneficial (e.g. improving health through better food choices) as well as experientially beneficial (e.g. enriching eating experiences). Computational technology can make a significant contribution here, as it allows to, for example, present digital data through food (drawing from visualization techniques and fabrication advances such as 3D-food printing); facilitate technology-augmented behaviour change to promote healthier eating choices; employ big data across suppliers to help choose more sustainable produce (drawing on IoT kitchen appliances); use machine learning to predictively model eating behaviour; employ mixed-reality to facilitate novel eating experiences; and turn eating into a spectacle through robots that support cooking and serving actions. The aim of this Dagstuhl seminar called "Eat-IT" was to discuss these opportunities and challenges by bringing experts and stakeholders with different backgrounds from academia and industry together to formulate actionable strategies on how interactive food can benefit from computational technology yet not distract from the eating experience itself. With this seminar, we wanted to enable a healthy and inclusive debate on the interwoven future of food and computational technology.

Cite as

Florian `Floyd' Mueller, Marianna Obrist, Soh Kim, Masahiko Inami, and Jialin Deng. Eat-IT: Towards Understanding Interactive Technology and Food (Dagstuhl Seminar 22272). In Dagstuhl Reports, Volume 12, Issue 7, pp. 19-40, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)


Copy BibTex To Clipboard

@Article{mueller_et_al:DagRep.12.7.19,
  author =	{Mueller, Florian `Floyd' and Obrist, Marianna and Kim, Soh and Inami, Masahiko and Deng, Jialin},
  title =	{{Eat-IT: Towards Understanding Interactive Technology and Food (Dagstuhl Seminar 22272)}},
  pages =	{19--40},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{7},
  editor =	{Mueller, Florian `Floyd' and Obrist, Marianna and Kim, Soh and Inami, Masahiko and Deng, Jialin},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.7.19},
  URN =		{urn:nbn:de:0030-drops-176109},
  doi =		{10.4230/DagRep.12.7.19},
  annote =	{Keywords: Human-Food Interaction, FoodHCI}
}
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