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Nikhil Ravi Thiruvengadam

dblp:01/9540 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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
Collaborative and social computing · 38% Ubiquitous computing and smart environments · 38% Design research and methods · 23%

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

TopicWeightPapersLastEvidence papers
Ubiquitous computing and smart environments › urban computing
smart city
0.112011
Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design · CHI 2011
Design research and methods
participatory design
0.012011
Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design · CHI 2011
Design research and methods › design practice
service design
0.012011
Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design · CHI 2011

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

field trial · 0.1arrival time prediction · 0.1GPS trace processing · 0.1
YearPublicationVenuePosition
2011 Field trial of Tiramisu: crowd-sourcing bus arrival times to spur co-design
abstract
Crowd-sourcing social computing systems represent a new material for HCI designers. However, these systems are difficult to work with and to prototype, because they require a critical mass of participants to investigate social behavior. Service design is an emerging research area that focuses on how customers co-produce the services that they use, and thus it appears to be a great domain to apply this new material. To investigate this relationship, we developed Tiramisu, a transit information system where commuters share GPS traces and submit problem reports. Tiramisu processes incoming traces and generates real-time arrival time predictions for buses. We conducted a field trial with 28 participants. In this paper we report on the results and reflect on the use of field trials to evaluate crowd-sourcing prototypes and on how crowd sourcing can generate co-production between citizens and public services.
John Zimmerman, Anthony Tomasic, Charles Garrod, Daisy Yoo, Chaya Hiruncharoenvate, Rafae Aziz, Nikhil Ravi Thiruvengadam, Yun Huang 0003, Aaron Steinfeld
CHI7