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Jarrod Lombardo

dblp:96/7848 · DBLP profile ↗
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2ranked-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 · 2

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
2 papers
Collaborative and social computing · 53% Interaction techniques and input · 41% User interface design and tools · 6%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
direct manipulation
0.112011
Rock & rails: extending multi-touch interactions with shape gestures to enable precise spatial manipulations · CHI 2011
Interaction techniques and input
touch interaction
0.112011
Rock & rails: extending multi-touch interactions with shape gestures to enable precise spatial manipulations · CHI 2011
Information retrieval › interactive information retrieval › search interaction
collaborative search
0.112010
WeSearch: supporting collaborative search and sensemaking on a tabletop display · CSCW 2010
Information retrieval › web search
collaborative web search
0.112010
WeSearch: supporting collaborative search and sensemaking on a tabletop display · CSCW 2010
Collaborative and social computing
computer-supported cooperative work
0.112010
WeSearch: supporting collaborative search and sensemaking on a tabletop display · CSCW 2010
Collaborative and social computing › collaborative learning › knowledge construction
sensemaking
0.112010
WeSearch: supporting collaborative search and sensemaking on a tabletop display · CSCW 2010
Collaborative and social computing › shared displays
tabletop displays
0.112010
WeSearch: supporting collaborative search and sensemaking on a tabletop display · CSCW 2010

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

system design · 0.2evaluation · 0.2user study · 0.1
YearPublicationVenuePosition
2011 Rock & rails: extending multi-touch interactions with shape gestures to enable precise spatial manipulations
abstract
Direct touch manipulations enable the user to interact with the on-screen content in a direct and easy manner closely mimicking the spatial manipulations in the physical world. However, they also suffer from well-known issues of precision, occlusion and an inability to isolate different degrees of freedom in spatial manipulations. We present a set of interactions, called Rock & Rails, that augment existing direct touch manipulations with shape-based gestures, thus providing on-demand gain control, occlusion avoidance, and separation of constraints in 2D manipulation tasks. Using shape gestures in combination with direct-manipulations allows us to do this without ambiguity in detection and without resorting to manipulation handles, which break the direct manipulation paradigm. Our set of interactions were evaluated by 8 expert graphic designers and were found to be easy to learn and master, as well as effective in accomplishing a precise graphical layout task.
Daniel J. Wigdor, Hrvoje Benko, John Pella, Jarrod Lombardo, Sarah Williams 0002
CHI4
2010 WeSearch: supporting collaborative search and sensemaking on a tabletop display
abstract
Groups of users often have shared information needs -- for example, business colleagues need to conduct research relating to joint projects and students must work together on group homework assignments. In this paper, we introduce WeSearch, a collaborative Web search system designed to leverage the benefits of tabletop displays for face-to-face collaboration and organization tasks. We describe the design of WeSearch and explain the interactions it affords. We then describe an evaluation in which eleven groups used WeSearch to conduct real collaborative search tasks. Based on our study's findings, we analyze the effectiveness of the features introduced by WeSearch.
Meredith Ringel Morris, Jarrod Lombardo, Daniel J. Wigdor
CSCW2