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Promoting deeper learning and understanding in human networks
Augmenting and mediating human experience, interaction, and perception with sensor networks
Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, audito...
The sense of smell is perhaps the most pervasive of all senses, but it is also one of the least understood and least exploited in HCI. We...
Judith Amores and Pattie Maes. 2017. Essence: Olfactory Interfaces for Unconscious Influence of Mood and Cognitive Performance. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '17). ACM, Denver, CO, USA. DOI: http://dx.doi.org/10.1145/3025453.3026004
PerForm explores the intuitive meanings associated with the shape of objects, and how a deformable tool can allow for interaction based o...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
View the main City Science Andorra project profile.
View the main City Science Andorra project profile.The MIT Media Lab's City Science research group, the University of Andorra, and nation...
We only perceive a tiny sliver of the world around us. We are constrained by what our senses can process. These senses evolved to react t...
Can a magician and a robot collaborate on stage to create a believable, evocative performance?We are studying how th...
Elisa Celis, Peter Krafft, and Nathan Kobe. (2016). Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. The Tenth International AAAI Conference on Web and Social Media (ICWSM).
In a study of human perception of music in relation to different representations of video graphics, this project explores the automatic s...