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Nick S. Ward

dblp:93/10746 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
0000-0002-7688-9649ORCID · verified

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

Artificial intelligence and machine learning · 1Human-computer interaction and ubiquitous 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
Health and well-being technologies · 100%
Computer graphics and multimedia
1 paper
Audio and music processing · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Health and well-being technologies › rehabilitation technology
stroke rehabilitation technology
0.212016
Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Home · CHI 2016

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

feasibility study · 0.5
YearPublicationVenuePosition
2016 Motivating Stroke Rehabilitation Through Music: A Feasibility Study Using Digital Musical Instruments in the Home
abstract
Digital approaches to physical rehabilitation are becoming increasingly common and embedding these new technologies within a musical framework may be particularly motivating. The current feasibility study aimed to test if digital musical instruments (DMIs) could aid in the self-management of stroke rehabilitation in the home, focusing on seated forward reach movements of the upper limb. Participants (n=3), all at least 11 months post stroke, participated in 15 researcher-led music making sessions over a 5 week intervention period. The sessions involved them 'drumming' to the beat of self-chosen tunes using bespoke digital drum pads that were synced wirelessly to an iPad App and triggered percussion sounds as feedback. They were encouraged to continue these exercises when the researcher was not present. The results showed significant levels of self-management and significant increases in functional measures with some evidence for transfer into tasks of daily living.
Pedro Kirk, Mick Grierson, Rebeka Bodak, Nick S. Ward, Fran Brander, Kate Kelly, Nicholas Newman, Lauren Stewart
CHI4
2013 Carryover Effect after Functional Electrical Stimulation Treatment - Pilot Study for a Quantitative Approach
Marta Gandolla, Alessandra Pedrocchi, Simona Ferrante, Eleonora Guanziroli, Nick S. Ward, Franco Molteni
IJCCI5