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James K. Thorp

dblp:264/6855 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-1838-2708ORCID · reported

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

Human-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
Design research and methods · 67% Ubiquitous computing and smart environments · 33%
Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments
connected devices
0.412020
Exploring The Future of Data-Driven Product Design · CHI 2020
Design research and methods › computational design
data-driven design
0.412020
Exploring The Future of Data-Driven Product Design · CHI 2020
Design research and methods
product design
0.412020
Exploring The Future of Data-Driven Product Design · CHI 2020

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

workshops · 0.4workshop · 0.4
YearPublicationVenuePosition
2020 Exploring The Future of Data-Driven Product Design
abstract
Connected devices present new opportunities to advance design through data collection in the wild, similar to the way digital services evolve through analytics. However, it is still unclear how live data transmitted by connected devices informs the design of these products, going beyond performance optimisation to support creative practices. Design can be enriched by data captured by connected devices, from usage logs to environmental sensors, and data about the devices and people around them. Through a series of workshops, this paper contributes industry and academia perspectives on the future of data-driven product design. We highlight HCI challenges, issues and implications, including sensemaking and the generation of design insight. We further challenge current notions of data-driven design and envision ways in which future HCI research can develop ways to work with data in the design process in a connected, rich, human manner.
Katerina Gorkovenko, Dan Burnett, James K. Thorp, Daniel Richards 0001, David Murray-Rust
CHI3