research-article

From Hyperlinks to Hypercues: Entity-Based Affordances for Fluid Information Exploration

Authors:

Khalil Klouche,

Tuukka Ruotsalo,

Giulio JacucciAuthors Info & Claims

DIS '18: Proceedings of the 2018 Designing Interactive Systems Conference

Pages 401 - 411

https://doi.org/10.1145/3196709.3196775

Published: 08 June 2018 Publication History

Abstract

We introduce the concept of hypercue, a complement to the hyperlink in the form of an interactive representation of real-world entities, e.g. persons, places, concepts, providing personalized access points to information. As a pendant to the hyperlink, hypercues create opportunities to flexibly discover, store and share information, organize one's thoughts and gain insights of the data. We explore the design space of interaction techniques supporting entity-based information exploration by reviewing recent examples of such work. We reflect on these through the lens of eight essential features of exploratory search systems, to devise generalizable design principles. Our main contribution is a design template describing the hypercue. It consists of a minimal set of affordances that ensure all important features for supporting exploratory search can be addressed, while leaving enough design space to facilitate integration within a variety of systems. We finally describe the rationale behind the design template and discuss its implications.

References

[1]

Christopher Ahlberg and Ben Shneiderman. 1994. Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '94). ACM, New York, NY, USA, 313--317.

Digital Library

[2]

Saleema Amershi and Meredith Ringel Morris. 2008. CoSearch: a system for co-located collaborative web search. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 1647--1656.

Digital Library

[3]

Marcia J Bates. 1989. The design of browsing and berrypicking techniques for the online search interface. Online review 13, 5 (1989), 407--424.

[4]

Eric A Bier, Stuart K Card, and John W Bodnar. 2008. Entity-based collaboration tools for intelligence analysis. In Visual Analytics Science and Technology, 2008. VAST'08. IEEE Symposium on. IEEE, 99--106.

[5]

David Carmel, Naama Zwerdling, and Sivan Yogev. 2012. Entity oriented search and exploration for cultural heritage collections: the EU cultura project. In Proceedings of the 21st International Conference on World Wide Web. ACM, 227--230.

Digital Library

[6]

Marian Dörk, Sheelagh Carpendale, and Carey Williamson. 2011. The information flaneur: A fresh look at information seeking. In Proceedings of the SIGCHI conference on human factors in computing systems. ACM, 1215--1224.

Digital Library

[7]

Niklas Elmqvist, Andrew Vande Moere, Hans-Christian Jetter, Daniel Cernea, Harald Reiterer, and TJ Jankun-Kelly. 2011. Fluid interaction for information visualization. Information Visualization 10, 4 (2011), 327--340.

Digital Library

[8]

Dorota G?owacka, Tuukka Ruotsalo, Ksenia Konuyshkova, Samuel Kaski, Giulio Jacucci, and others. 2013. Directing exploratory search: Reinforcement learning from user interactions with keywords. In Proceedings of the 2013 international conference on Intelligent user interfaces. ACM, 117--128.

Digital Library

[9]

Gene Golovchinsky, John Adcock, Jeremy Pickens, Pernilla Qvarfordt, and Maribeth Back. 2008. Cerchiamo: a collaborative exploratory search tool. Proceedings of Computer Supported Cooperative Work (CSCW) (2008), 8--12.

[10]

François Guimbretière, Maureen Stone, and Terry Winograd. 2001. Fluid Interaction with High-resolution Wall-size Displays. In Proceedings of the 14th Annual ACM Symposium on User Interface Software and Technology (UIST '01). ACM, New York, NY, USA, 21--30.

Digital Library

[11]

Marti A Hearst. 2014. What's missing from collaborative search? Computer 47, 3 (2014), 58--61.

Digital Library

[12]

Samuli Hemminki, Kai Zhao, Aaron Yi Ding, Martti Rannanjärvi, Sasu Tarkoma, and Petteri Nurmi. 2013. Cosense: A collaborative sensing platform for mobile devices. In Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. ACM, 34.

Digital Library

[13]

Edwin L. Hutchins, James D. Hollan, and Donald A. Norman. 1985. 1.1 direct manipulation: astep beyond programming languages. Human-Computer Interaction 1, 4 (1985), 311--338.

Digital Library

[14]

Andruid Kerne and Steven M Smith. 2004. The information discovery framework. In Proceedings of the 5th conference on Designing interactive systems: processes, practices, methods, and techniques. ACM, 357--360.

Digital Library

[15]

Khalil Klouche, Tuukka Ruotsalo, Diogo Cabral, Salvatore Andolina, Andrea Bellucci, and Giulio Jacucci. 2015. Designing for exploratory search on touch devices. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems. ACM, 4189--4198.

Digital Library

[16]

Khalil Klouche, Tuukka Ruotsalo, Luana Micallef, Salvatore Andolina, and Giulio Jacucci. 2017. Visual Re-Ranking for Multi-Aspect Information Retrieval. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval. ACM, 57--66.

Digital Library

[17]

Gary Marchionini. 2006. Exploratory search: from finding to understanding. Commun. ACM 49, 4 (2006), 41--46.

Digital Library

[18]

Iris Miliaraki, Roi Blanco, and Mounia Lalmas. 2015. From "Selena Gomez" to "Marlon Brando": Understanding Explorative Entity Search. In Proceedings of the 24th International Conference on World Wide Web (WWW '15). International World Wide Web Conferences Steering Committee, Republic and Canton of Geneva, Switzerland, 765--775.

Digital Library

[19]

Meredith Ringel Morris and Eric Horvitz. 2007. SearchTogether: an interface for collaborative web search. In Proceedings of the 20th annual ACM symposium on User interface software and technology. ACM, 3--12.

Digital Library

[20]

Jeanne Nakamura and Mihaly Csikszentmihalyi. 2014. The Concept of Flow. Springer Netherlands, Dordrecht, 239--263.

[21]

Don Norman. 2013. The design of everyday things: Revised and expanded edition. Basic Books (AZ).

[22]

Peter Pirolli and Stuart Card. The sensemaking process and leverage points for analyst technology as identified through cognitive task analysis.

[23]

Peter Pirolli and Stuart Card. 1999. Information foraging. Psychological review 106, 4 (1999), 643.

[24]

Jeffrey Pound, Peter Mika, and Hugo Zaragoza. 2010. Ad-hoc Object Retrieval in the Web of Data. In Proceedings of the 19th International Conference on World Wide Web (WWW '10). ACM, New York, NY, USA, 771--780.

Digital Library

[25]

Gonzalo Ramos and Ravin Balakrishnan. 2003. Fluid Interaction Techniques for the Control and Annotation of Digital Video. In Proceedings of the 16th Annual ACM Symposium on User Interface Software and Technology (UIST '03). ACM, New York, NY, USA, 105--114.

Digital Library

[26]

Tuukka Ruotsalo, Kumaripaba Athukorala, Dorota Głowacka, Ksenia Konyushkova, Antti Oulasvirta, Samuli Kaipiainen, Samuel Kaski, and Giulio Jacucci. 2013. Supporting exploratory search tasks with interactive user modeling. Proceedings of the American Society for Information Science and Technology 50, 1 (2013), 1--10.

Digital Library

[27]

Daniel M Russell, Mark J Stefik, Peter Pirolli, and Stuart K Card. 1993. The cost structure of sensemaking. In Proceedings of the INTERACT'93 and CHI'93 conference on Human factors in computing systems. ACM, 269--276.

Digital Library

[28]

Ben Shneiderman. 1993. 1.1 direct manipulation: astep beyond programming languages. Sparks of innovation in human-computer interaction (1993), 17.

[29]

Ben Shneiderman. 1997. Direct manipulation for comprehensible, predictable and controllable user interfaces. In Proceedings of the 2nd international conference on Intelligent user interfaces. ACM, 33--39.

Digital Library

[30]

John Stasko, Carsten Görg, and Zhicheng Liu. 2008. Jigsaw: supporting investigative analysis through interactive visualization. Information visualization 7, 2 (2008), 118--132.

Digital Library

[31]

Ryen W White and Resa A Roth. 2009. Exploratory search: beyond the query-response paradigm (Synthesis lectures on information concepts, retrieval & services). Morgan and Claypool Publishers 3 (2009).

Cited By

He CMicallef LSerim BVuong TRuotsalo TJacucci G(2022)Interactive visual facets to support fluid exploratory searchJournal of Visualization10.1007/s12650-022-00865-426:1(211-230)Online publication date: 30-Jul-2022
https://doi.org/10.1007/s12650-022-00865-4
He CMicallef LSerim BVuong TRuotsalo TJacucci G(2021)Interactive Visual Facets to Support Fluid Exploratory SearchProceedings of the 14th International Symposium on Visual Information Communication and Interaction10.1145/3481549.3481565(1-10)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3481549.3481565
Jacucci GDaee PVuong TAndolina SKlouche KSjöberg MRuotsalo TKaski S(2021)Entity Recommendation for Everyday Digital TasksACM Transactions on Computer-Human Interaction10.1145/345891928:5(1-41)Online publication date: 20-Aug-2021
https://dl.acm.org/doi/10.1145/3458919
Show More Cited By

Index Terms

From Hyperlinks to Hypercues: Entity-Based Affordances for Fluid Information Exploration
1. Human-centered computing
  1. Human computer interaction (HCI)
2. Information systems
  1. Information retrieval

Recommendations

Dynamic label sampling on fisheye maps for information exploration
AVI '00: Proceedings of the working conference on Advanced visual interfaces

For data with large dimensionality, placing labels is critical for users' comprehension of a scatterplot or a map of items. We propose a dynamic label sampling technique that, combined with graphical fisheye views, selects appropriate labels out of a ...
Flexible entity search on surfaces
MUM '16: Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia

Surface computing allows flexible search interaction where users can manipulate the representation of entities recommended for them to create new queries or augment existing queries by taking advantage of increased screen estate and almost physical ...
IntentStreams: Smart Parallel Search Streams for Branching Exploratory Search
IUI '15: Proceedings of the 20th International Conference on Intelligent User Interfaces

The user's understanding of information needs and the information available in the data collection can evolve during an exploratory search session. Search systems tailored for well-defined narrow search tasks may be suboptimal for exploratory search ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

DIS '18: Proceedings of the 2018 Designing Interactive Systems Conference

June 2018

1418 pages

ISBN:9781450351980

DOI:10.1145/3196709

General Chairs:
Ilpo Koskinen
University of Twente
,
Youn-kyung Lim
KAIST
,
Program Chairs:
Teresa Cerratto-Pargman
Stockholm University
,
Kenny Chow
The Hong Kong Polytechnic University
,
William Odom
Simon Fraser University

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 June 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Academy of Finland

Conference

DIS '18

Sponsor:

SIGCHI

DIS '18: Designing Interactive Systems Conference 2018

June 9 - 13, 2018

Hong Kong, China

Acceptance Rates

DIS '18 Paper Acceptance Rate 107 of 487 submissions, 22%;

Overall Acceptance Rate 1,158 of 4,684 submissions, 25%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
234
Total Downloads

Downloads (Last 12 months)14
Downloads (Last 6 weeks)1

Reflects downloads up to 10 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

He CMicallef LSerim BVuong TRuotsalo TJacucci G(2022)Interactive visual facets to support fluid exploratory searchJournal of Visualization10.1007/s12650-022-00865-426:1(211-230)Online publication date: 30-Jul-2022
https://doi.org/10.1007/s12650-022-00865-4
He CMicallef LSerim BVuong TRuotsalo TJacucci G(2021)Interactive Visual Facets to Support Fluid Exploratory SearchProceedings of the 14th International Symposium on Visual Information Communication and Interaction10.1145/3481549.3481565(1-10)Online publication date: 6-Sep-2021
https://dl.acm.org/doi/10.1145/3481549.3481565
Jacucci GDaee PVuong TAndolina SKlouche KSjöberg MRuotsalo TKaski S(2021)Entity Recommendation for Everyday Digital TasksACM Transactions on Computer-Human Interaction10.1145/345891928:5(1-41)Online publication date: 20-Aug-2021
https://dl.acm.org/doi/10.1145/3458919
He CMicallef LHe LPeddinti GAittokallio TJacucci G(2021)Characterizing the Quality of Insight by Interactions: A Case StudyIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2020.297763427:8(3410-3424)Online publication date: 1-Aug-2021
https://doi.org/10.1109/TVCG.2020.2977634
di Sciascio CVeas EBarria-Pineda JCulley CPaternò FOliver NConati CSpano LTintarev N(2020)Understanding the effects of control and transparency in searching as learningProceedings of the 25th International Conference on Intelligent User Interfaces10.1145/3377325.3377524(498-509)Online publication date: 17-Mar-2020
https://dl.acm.org/doi/10.1145/3377325.3377524
Buie EBrewster SFitzpatrick GCox AKostakos V(2019)Let Us Say What We MeanExtended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290607.3310426(1-10)Online publication date: 2-May-2019
https://dl.acm.org/doi/10.1145/3290607.3310426

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents