Interactive querying of temporal data using a comic strip metaphor

Jin, Jing; Szekely, Pedro

doi:10.1109/vast.2010.5652890

Cited by 25 publications

(9 citation statements)

References 16 publications

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“…al [11,12] have addressed some of those problems by proposing a visual query language that is easily understood and specified by users. However, their comic strip metaphor is not well suited for expressing longer repetitions or parallel (alternate) paths.…”

Section: Query Languages For Event Sequence and Temporal Datamentioning

confidence: 99%

(s|qu)eries

Zgraggen

Drucker

Fisher

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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Figure 1. Two queries on a fictional shopping website web log. Left: Query to explore checkout behaviors of users depending on direct referral versus users that were referred from a specific website. Right: Query to view geographical location of customers that used the search feature. ABSTRACTMany different domains collect event sequence data and rely on finding and analyzing patterns within it to gain meaningful insights. Current systems that support such queries either provide limited expressiveness, hinder exploratory workflows or present interaction and visualization models which do not scale well to large and multi-faceted data sets. In this paper we present (s|qu)eries (pronounced "Squeries"), a visual query interface for creating queries on sequences (series) of data, based on regular expressions. (s|qu)eries is a touchbased system that exposes the full expressive power of regular expressions in an approachable way and interleaves query specification with result visualizations. Being able to visually investigate the results of different query-parts supports debugging and encourages iterative query-building as well as exploratory work-flows. We validate our design and implementation through a set of informal interviews with data scientists that analyze event sequences on a daily basis.

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Section: Query Languages For Event Sequence and Temporal Datamentioning

confidence: 99%

(s|qu)eries

Zgraggen

Drucker

Fisher

et al. 2015

Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

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show abstract

“…We suggest that, while the concept of incorporating narrative visualization techniques, such as comics and storyboards, into applications for visual analysis, is not entirely novel (ap Cenydd et al, 2011;Jin and Szekely, 2010 ;Hossain et al. 2012), it is of growing interest and there is still significant research to be done in understanding how we can work with storytelling approaches in this field.…”

Section: Narrative Visualisation As the Missing Linkmentioning

confidence: 99%

Accomplishments of Naturalistic Decision Making Research and Applications to Emerging Defense Challenges

Hoffman¹

2015

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“…Likewise, behavioral experiment systems such as OpenSesame [MST12] or Presentation from Neurobehavioral Systems intend to produce visual stimuli through their particular framework. Heer et al [HB10] identified limitations of Amazon Mechanical Turk as a platform to conduct graphical perception experiments and they recommend to use it only for recruitment and participant management but launch a evaluation/visualization system via Flash (e.g., [HB10]), Java Web Start (e.g., [JS10]), or JavaScript. USEMATE [ASJ10] is a system for administrating and conducting usability experiments.…”

Section: Related Workmentioning

confidence: 99%

EvalBench: A Software Library for Visualization Evaluation

Aigner

Hoffmann

Rind

2013

Computer Graphics Forum

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It is generally acknowledged in visualization research that it is necessary to evaluate visualization artifacts in order to provide empirical evidence on their effectiveness and efficiency as well as their usability and utility. However, the difficulties of conducting such evaluations still remain an issue. Apart from the required know-how to appropriately design and conduct user studies, the necessary implementation effort for evaluation features in visualization software is a considerable obstacle. To mitigate this, we present EvalBench, an easy-to-use, flexible, and reusable software library for visualization evaluation written in Java. We describe its design choices and basic abstractions of our conceptual architecture and demonstrate its applicability by a number of case studies. EvalBench reduces implementation effort for evaluation features and makes conducting user studies easier. It can be used and integrated with third-party visualization prototypes that need to be evaluated via loose coupling. EvalBench supports both, quantitative and qualitative evaluation methods such as controlled experiments, interaction logging, laboratory questionnaires, heuristic evaluations, and insight diaries.

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Interactive querying of temporal data using a comic strip metaphor

Cited by 25 publications

References 16 publications

(s|qu)eries

(s|qu)eries

Accomplishments of Naturalistic Decision Making Research and Applications to Emerging Defense Challenges

EvalBench: A Software Library for Visualization Evaluation

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