We present the design of a proximity-based interaction paradigm for browsing complex information. This paradigm builds on the intrinsic characteristics of interactive tabletops, namely their physical spatial dimension, direct-touch input modality and affordance for multi-user interaction. To validate such a proposal, we developed a prototypical application about Dante's Inferno, due to the complexity, vastness and universality of this classic and to the availability of partially-structured data about the relationships between characters. Four pairs of users were involved in a user study to assess qualitatively whether the interaction paradigm would help them in collaboratively browsing a collection of data. Preliminary results are encouraging: the proposed paradigm is easily understood, is perceived as simple while still engaging, allows for collaborative learning while not forcing it, and helps highlighting and remembering connections among data.
Touching Dante: a proximity-based paradigm for tabletop browsing Proceedings of the Biannual Conference of the Italian Chapter of SIGCHI on - CHItaly '13
Bordin, Silvia;M. Zancanaro;De Angeli, Antonella
2013-01-01
Abstract
We present the design of a proximity-based interaction paradigm for browsing complex information. This paradigm builds on the intrinsic characteristics of interactive tabletops, namely their physical spatial dimension, direct-touch input modality and affordance for multi-user interaction. To validate such a proposal, we developed a prototypical application about Dante's Inferno, due to the complexity, vastness and universality of this classic and to the availability of partially-structured data about the relationships between characters. Four pairs of users were involved in a user study to assess qualitatively whether the interaction paradigm would help them in collaboratively browsing a collection of data. Preliminary results are encouraging: the proposed paradigm is easily understood, is perceived as simple while still engaging, allows for collaborative learning while not forcing it, and helps highlighting and remembering connections among data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione