N
Nuno Jardim Nunes
Researcher at Instituto Superior Técnico
Publications - 223
Citations - 3134
Nuno Jardim Nunes is an academic researcher from Instituto Superior Técnico. The author has contributed to research in topics: Computer science & Usability. The author has an hindex of 24, co-authored 204 publications receiving 2539 citations. Previous affiliations of Nuno Jardim Nunes include University of Porto & Carnegie Mellon University.
Papers
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Journal ArticleDOI
Customer experience modeling: from customer experience to service design
Jorge Teixeira,Lia Patrício,Nuno Jardim Nunes,Leonel Nóbrega,Raymond P. Fisk,Larry Constantine +5 more
TL;DR: The application to a multimedia service highlights how CEM can facilitate the work of multidisciplinary design teams by providing more insightful inputs to service design.
BookDOI
Human-Computer Interaction – INTERACT 2011
Proceedings ArticleDOI
The Geography of Pokémon GO: Beneficial and Problematic Effects on Places and Movement
Ashley Colley,Jacob Thebault-Spieker,Allen Yilun Lin,Donald Degraen,Benjamin Fischman,Jonna Häkkilä,Kate Kuehl,Valentina Nisi,Nuno Jardim Nunes,Nina Wenig,Dirk Wenig,Brent Hecht,Johannes Schöning +12 more
TL;DR: Focusing on the key geographic themes of places and movement, this paper finds that the design of Pokémon GO reinforces existing geographically-linked biases, and that the game may have instigated a relatively rare large-scale shift in global human mobility patterns.
Journal ArticleDOI
Performance evaluation in non-intrusive load monitoring: Datasets, metrics, and tools—A review
Lucas Pereira,Nuno Jardim Nunes +1 more
TL;DR: A review of the main datasets, metrics, and tools for evaluating the performance of NILM systems and technologies, including cross‐datasets, performance metrics for evaluation and generalizable frameworks for benchmarking NilM technology is provided.
Dissertation
Object modeling for user-centered development and user interface design: the wisdom approach
TL;DR: The Arch model is a revision of the Seeheim model aimed at providing a framework for understanding of the engineering tradeoffs, specifically, in what concerns evaluating candidate run-time architectures.