J
Josh Andres
Researcher at IBM
Publications - 51
Citations - 652
Josh Andres is an academic researcher from IBM. The author has contributed to research in topics: Computer science & Interaction design. The author has an hindex of 10, co-authored 39 publications receiving 279 citations. Previous affiliations of Josh Andres include RMIT University & Monash University.
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Proceedings ArticleDOI
Experiencing the Body as Play
TL;DR: To guide designers interested in supporting players to experience their bodies as play, two phenomenological perspectives on the human body are presented and a suite of design tactics using the authors' own and other people's work are articulate.
Proceedings ArticleDOI
Towards Designing Bodily Integrated Play
Florian 'Floyd' Mueller,Tuomas Kari,Zhuying Li,Yan Wang,Yash Dhanpal Mehta,Josh Andres,Jonathan Marquez,Rakesh Patibanda +7 more
TL;DR: This article presents an initial set of design strategies for bodily integrated play, aiming to inform designers on how they can engage with such systems to facilitate playful experiences, so that ultimately, people will profit from bodily play's many physical and mental wellbeing benefits even in a future where machine and human converge.
Proceedings ArticleDOI
Neo-Noumena: Augmenting Emotion Communication
Nathan Semertzidis,Michaela Scary,Josh Andres,Brahmi Dwivedi,Yutika Chandrashekhar Kulwe,Fabio Zambetta,Florian 'Floyd' Mueller +6 more
TL;DR: This work explores "Neo-Noumena", a communicative neuroresponsive system that uses brain-computer interfacing and artificial intelligence to read one's emotional states and dynamically represent them to others in mixed reality through two head-mounted displays.
Proceedings ArticleDOI
AutoAIViz: opening the blackbox of automated artificial intelligence with conditional parallel coordinates
Daniel Karl I. Weidele,Justin D. Weisz,Erick Oduor,Michael Muller,Josh Andres,Alexander G. Gray,Dakuo Wang +6 more
TL;DR: In this article, the authors provide a user evaluation by 10 data scientists of an experimental system, AutoAIViz, that aims to visualize AutoAI's model generation process and increase their understanding toward the goal of increasing trust in the AutoAI system.
Proceedings ArticleDOI
"I had super-powers when eBike riding" Towards Understanding the Design of Integrated Exertion
TL;DR: This work focuses on supporting exertion during the activity through sensing and actuation, facilitating the exerting body and the bike to act on and react to each other in what is called 'integrated exertion'.