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Chris Dobbyn

dblp:22/5257 · DBLP profile ↗
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5ranked-venue papers
0as first author
0since 2021 · last 2017
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3Artificial intelligence and machine learning · 1Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 44% Learning and educational technologies · 44% Games and playful interaction · 13%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Learning and educational technologies › active learning
peer learning
0.212013
Let's jam the reactable: Peer learning during musical improvisation with a tabletop tangible interface · ACM Trans. Comput. Hum. Interact. 2013
Personal fabrication and tangible interfaces › tabletop interfaces
tabletop tangible interface
0.212013
Let's jam the reactable: Peer learning during musical improvisation with a tabletop tangible interface · ACM Trans. Comput. Hum. Interact. 2013
Games and playful interaction › creative expression
music performance
0.012013
Let's jam the reactable: Peer learning during musical improvisation with a tabletop tangible interface · ACM Trans. Comput. Hum. Interact. 2013

Methods — techniques the papers use, named apart from their topics

long-term lab study · 0.2interaction analysis · 0.2
YearPublicationVenuePosition
2017 Exploring Social Interaction With a Tangible Music Interface
abstract
This article presents a video-based field study of the Reactable, a tabletop tangible user interface (TUI) for music performance, in a hands-on science centre. The goal was to investigate visitors’ social interactions in a public setting. We describe liminality and cross-group interaction, both synchronous with fluid transitions and overlaps in use between groups and asynchronous. Our findings indicate the importance of: (i) facilitating smooth transitions and overlaps between groups and (ii) supporting not only synchronous but also asynchronous group interaction. We discuss the lessons learned on how best to enable liminal situations in the design of interactive tabletops and TUIs for social interaction and particularly collaborative tangible music in public museum settings.
Anna Xambó, Eva Hornecker, Paul Marshall, Sergi Jordà, Chris Dobbyn, Robin C. Laney
Interact. Comput.5
2013 Let's jam the reactable: Peer learning during musical improvisation with a tabletop tangible interface
abstract
There has been little research on how interactions with tabletop and Tangible User Interfaces (TUIs) by groups of users change over time. In this article, we investigate the challenges and opportunities of a tabletop tangible interface based on constructive building blocks. We describe a long-term lab study of groups of expert musicians improvising with the Reactable, a commercial tabletop TUI for music performance. We examine interaction, focusing on interface , tangible , musical, and social phenomena. Our findings reveal a practice-based learning between peers in situated contexts, and new forms of participation, all of which is facilitated by the Reactable's tangible interface, if compared to traditional musical ensembles. We summarise our findings as a set of design considerations and conclude that construction processes on interactive tabletops support learning by doing and peer learning, which can inform constructivist approaches to learning with technology.
Anna Xambó, Eva Hornecker, Paul Marshall, Sergi Jordà, Chris Dobbyn, Robin C. Laney
ACM Trans. Comput. Hum. Interact.5
2012 Critical issues in evaluating freely improvising interactive music systems
Adam Linson, Chris Dobbyn, Robin C. Laney
ICCC2
2011 TOUCHtr4ck: democratic collaborative music
abstract
When electronic musicians compose collaboratively, they typically use their own single-user musical controllers. It may, therefore, be useful to develop novel controllers that support collaborative workflows and democratic principles. After describing the design principles for developing such controllers, we present TOUCHtr4ck, a prototype multi-touch system designed to facilitate such democratic relationships. Informal testing has revealed that this approach does facilitate democratic and collaborative music making, and can produce creative musical results.
Anna Xambó, Robin C. Laney, Chris Dobbyn
TEI3
1996 A Dynamic Neural Substrate and Automatic Perception Switching
abstract
This paper presents DENN, a dynamic neural network or neural substrate having a number of abilities that might allow it to play a useful role as a constituent of an artificial cognitive system, handling the task of low-level perceptual processing. DENN can adapt without supervision to new objects, is able to respond to patterns of activation from several objects presented simultaneously to it, and is able to automatically switch its perception between multiple objects. It is based on an ideal neural substrate as conjectured by Dimond (1980), having the twin capabilities of autonomous learning and memory, capabilities emerging due to the use of autonomous neurons. DENN has a pyramidal architecture and its neurons have topologically organized receptive fields. Through training, the neurons become feature detectors, with the higher level neurons responding to more complex features. The neurons respond to a retinal input with an oscillatory output whose frequency depends only on their own input. Due to developing phase differences, the higher level neurons can move out of phase relative to each other. Therefore, different inputs are recognized cyclically-a process we term 'automatic perception switching'. Experiments verified the system's ability of automatic perception switching, investigated its response to randomized images, and compared the performance of adaptive and non-adaptive versions of the neural substrate.
Malcolm R. J. McQuoid, Chris Dobbyn
Connect. Sci.2