research-article

Entertainment on the go: finding things to do and see while visiting distributed events

Authors:

Richard Schaller,

David ElsweilerAuthors Info & Claims

IIIX '12: Proceedings of the 4th Information Interaction in Context Symposium

Pages 90 - 99

https://doi.org/10.1145/2362724.2362743

Published: 21 August 2012 Publication History

Abstract

Distributed events are collections of single events taking place within a small geographical area at approximately the same time, normally related to one given topic e.g. music, film, arts etc. There are usually a large number of events on offer and the times in which they can be visited are heavily constrained. Therefore the information seeking task of choosing the events to visit and in which order can be very difficult.

In this paper we investigate, via 2 large-scale naturalistic studies (n=391 and n=740), how mobile applications can be designed to assist users in this task and how such applications are used. We present an application that allows users to search and browse the events on offer in a number of different ways including via personalised event recommendations. Logs were collected of user interactions with the system. The results of this log analysis in combination with 2 surveys show some surprising usage patterns and point to how such applications can better serve users' needs.

References

[1]

Die Lange Nacht der Musik Besucherbefragung 2010. Münchner Kultur GmbH, 2010.

[2]

N. J. Belkin, R. N. Oddy, and H. M. Brooks. ASK for information retrieval: Part I. Background and theory. Journal of Documentation, 38(2): 61--71, 1982.

[3]

K. Byström. Task complexity, information types and information sources. Examination of relationships. PhD thesis, University of Tampere, Dep. of Inf. Studies, 1999.

[4]

K. Church, J. Neumann, M. Cherubini, and N. Olive. The "map trap"? an evaluation of map versus text-based interfaces for location-based mobile search services. In WWW '10, 2010.

Digital Library

[5]

K. Church and B. Smyth. Understanding the intent behind mobile information needs. In IUI '09, 2009.

Digital Library

[6]

B. Dervin and M. Frenette. Sense-Making Methodology: communicating communicatively with campaign audience. In Sense-Making Methodology reader: selected writings of Brenda Dervin, pages 233--249. Hampton, 2003.

[7]

F. Dornseiff. Der deutsche Wortschatz nach Sachgruppen. DeGruyter, Berlin, New York, 2004.

[8]

S. Dumais, E. Cutrell, J. Cadiz, G. Jancke, R. Sarin, and D. C. Robbins. Stuff I've seen: a system for personal information retrieval and re-use. SIGIR '03, pages 72--79, NY, 2003. ACM.

Digital Library

[9]

D. Elsweiler, S. Mandl, and B. Kirkegaard Lunn. Understanding casual-leisure information needs: a diary study in the context of television viewing. IIiX '10, pages 25--34, NY, 2010. ACM.

Digital Library

[10]

D. Elsweiler, M. L. Wilson, and B. Kirkegaard Lunn. New Directions in Information Behaviour, chapter Understanding Casual-leisure Information Behaviour. Emerald Pub., 2011.

[11]

D. Gavalas and M. Kenteris. A web-based pervasive recommendation system for mobile tourist guides. Personal and Ubiquitous Computing, 15: 759--770, 2011.

Digital Library

[12]

B. G. Glaser and A. L. Strauss. The discovery of grounded theory: strategies for qualitative research. Aldine de Gruyter, New York, NY, 1967.

[13]

J. Hackos and J. Redish. User and Task Analysis for Interface Design. John Wiley & Sons, Inc., 1998.

Digital Library

[14]

K. Hagen, R. Kramer, M. Hermkes, B. Schumann, and P. Mueller. Semantic matching and heuristic search for a dynamic tour guide. In A. J. Frew, editor, Information and Communication Technologies in Tourism 2005, pages 149--159. Springer Vienna, 2005.

[15]

P. Hansen. User interface design for IR interaction. a task-oriented approach. In CoLIS 3, pages 191--205, 1999.

[16]

M. Harvey, M. J. Carman, I. Ruthven, and F. Crestani. Bayesian latent variable models for collaborative item rating prediction. In Proc. 20th ACM CIKM, CIKM '11, pages 699--708. ACM, 2011.

Digital Library

[17]

M. Kamvar and S. Baluja. A large scale study of wireless search behavior: Google mobile search. In CHI 2006, 2006.

Digital Library

[18]

M. Kamvar, M. Kellar, R. Patel, and Y. Xu. Computers and iphones and mobile phones, oh my!: a logs-based comparison of search users on different devices. WWW '09, pages 801--810, NY, 2009. ACM.

Digital Library

[19]

A. Maruyama, N. Shibata, Y. Murata, K. Yasumoto, and M. Ito. P-tour: A personal navigation system for tourism. In Proc. of 11th World Congress on ITS, pages 18--21, 2004.

[20]

A. M. Pejtersen. The book house: modelling users needs and search strategies as a basis for system design. Technical Report Riso-M-2794, Riso National Laboratory, 1989.

[21]

C. S. Ross. Finding without seeking: The information encounter in the context of reading for pleasure. IPM, 35(6): 783--799, 1999.

Digital Library

[22]

R. Schaller, M. Harvey, and D. Elsweiler. Out and about on museums night: Investigating mobile search behaviour for leisure events. In Proc. of Searching4Fun Wksp, ECIR, 2012.

[23]

M. V. Setten, S. Pokraev, J. Koolwaaij, and T. Instituut. Context-aware recommendations in the mobile tourist application compass. In AH 2004, LNCS 3137, pages 235--244, 2004.

[24]

C. E. Shannon. A mathematical theory of communication. SIGMOBILE Mob. Comp. Com. Rev., 5(1): 3--55, Jan. 2001.

Digital Library

[25]

E. Simpson. Measurement of Diversity. Nature, 163: 688, Apr. 1949.

[26]

H. Steck. Item popularity and recommendation accuracy. In RecSys '11, pages 125--132, New York, NY, USA, 2011. ACM.

Digital Library

[27]

J. Teevan, E. Adar, R. Jones, and M. A. S. Potts. Information re-retrieval: repeat queries in Yahoo's logs. SIGIR '07, pages 151--158, NY, 2007. ACM.

Digital Library

[28]

J. Teevan, A. Karlson, S. Amini, A. J. B. Brush, and J. Krumm. Understanding the importance of location, time, and people in mobile local search behavior. In Proc. of MobileHCI, MobileHCI '11, pages 77--80. ACM, 2011.

Digital Library

[29]

E. Toms. Understanding and facilitating the browsing of electronic text. J. of Human-Comp. Studies, 52: 423--452, 2000.

Digital Library

[30]

P. Vansteenwegen, W. Souffriau, G. V. Berghe, and D. V. Oudheusden. The city trip planner: An expert system for tourists. Expert Syst. Appl., 38(6): 6540--6546, June 2011.

Digital Library

[31]

M. L. Wilson and D. Elsweiler. Casual-leisure Searching: the Exploratory Search scenarios that break our current models. HCIR '10, Aug 2010. New Brunswick, NJ.

Cited By

Hoeber OHarvey MDewan Sagar SPointon M(2022)The effects of simulated interruptions on mobile search tasksJournal of the Association for Information Science and Technology10.1002/asi.2457973:6(777-796)Online publication date: 26-Apr-2022
https://dl.acm.org/doi/10.1002/asi.24579
Harvey MPointon MShah CBelkin NByström KHuang JScholer F(2018)Noisy SignalsProceedings of the 2018 Conference on Human Information Interaction & Retrieval10.1145/3176349.3176871(241-244)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1145/3176349.3176871
Harvey MPointon MKando NSakai TJoho HLi Hde Vries AWhite R(2017)Searching on the GoProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3080770(155-164)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3080770
Show More Cited By

Index Terms

Entertainment on the go: finding things to do and see while visiting distributed events
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design

Recommendations

RecSys for distributed events: investigating the influence of recommendations on visitor plans
SIGIR '13: Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval

Distributed events are collections of events taking place within a small area over the same time period and relating to a single topic. There are often a large number of events on offer and the times in which they can be visited are heavily constrained, ...
Relating user interaction to experience during festivals
IIiX '14: Proceedings of the 5th Information Interaction in Context Symposium

Festivals held in a city (or number of cities) contain many geographically distributed events often occurring contemporaneously. Visitors to the festival need to make numerous cognitively-challenging decisions about which events to see, and in which ...
Itinerary recommenders: how do users customize their routes and what can we learn from them?
IIiX '14: Proceedings of the 5th Information Interaction in Context Symposium

Itinerary recommenders provide tourists with personalized routes connecting several Points of Interest (POIs). Therefore transit times and users' preferences have to be considered to generate optimal plans. Nevertheless users might appreciate routes ...

Comments

Information & Contributors

Information

Published In

cover image ACM Other conferences

IIIX '12: Proceedings of the 4th Information Interaction in Context Symposium

August 2012

347 pages

ISBN:9781450312820

DOI:10.1145/2362724

General Chairs:
Jaap Kamps,
Wessel Kraaij,
Program Chair:
Norbert Fuhr
University of Duisburg-Essen

Copyright © 2012 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

University of Amsterdam: The University of Amsterdam

In-Cooperation

SIGIR: ACM Special Interest Group on Information Retrieval

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 August 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

IIiX'12

Sponsor:

University of Amsterdam

IIiX'12: Information Interaction in Context: 2012

August 21 - 24, 2012

Nijmegen, The Netherlands

Acceptance Rates

Overall Acceptance Rate 21 of 45 submissions, 47%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

11
Total Citations
View Citations
210
Total Downloads

Downloads (Last 12 months)15
Downloads (Last 6 weeks)0

Reflects downloads up to 22 Sep 2024

Other Metrics

View Author Metrics

Citations

Cited By

Hoeber OHarvey MDewan Sagar SPointon M(2022)The effects of simulated interruptions on mobile search tasksJournal of the Association for Information Science and Technology10.1002/asi.2457973:6(777-796)Online publication date: 26-Apr-2022
https://dl.acm.org/doi/10.1002/asi.24579
Harvey MPointon MShah CBelkin NByström KHuang JScholer F(2018)Noisy SignalsProceedings of the 2018 Conference on Human Information Interaction & Retrieval10.1145/3176349.3176871(241-244)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1145/3176349.3176871
Harvey MPointon MKando NSakai TJoho HLi Hde Vries AWhite R(2017)Searching on the GoProceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3077136.3080770(155-164)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1145/3077136.3080770
Harvey MPointon MNordlie RPharo NFreund LLarsen BRussel D(2017)Perceptions of the Effect of Fragmented Attention on Mobile Web Search TasksProceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval10.1145/3020165.3022136(293-296)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3020165.3022136
Paay JKjeldskov JSkov MNielsen PPearce JPaternò FVäänänen KChurch KHäkkilä JKrüger ASerrano M(2016)Discovering activities in your city using transitory searchProceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/2935334.2935378(387-393)Online publication date: 6-Sep-2016
https://dl.acm.org/doi/10.1145/2935334.2935378
Elsweiler DHarvey MWerthner HZanker MGolbeck JSemeraro G(2015)Towards Automatic Meal Plan Recommendations for Balanced NutritionProceedings of the 9th ACM Conference on Recommender Systems10.1145/2792838.2799665(313-316)Online publication date: 16-Sep-2015
https://dl.acm.org/doi/10.1145/2792838.2799665
Nielsen PPaay JPearce JKjeldskov JBoring SRukzio EGellersen HHinckley K(2015)Exploring Urban Events with Transitory Search on MobilesProceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct10.1145/2786567.2793692(712-719)Online publication date: 24-Aug-2015
https://dl.acm.org/doi/10.1145/2786567.2793692
Elbeshausen SMandl TWomser-Hacker C(2015)Collaborative Information Seeking in the Context of Leisure and Work Task Situations: A Comparison of Three Empirical StudiesCollaborative Information Seeking10.1007/978-3-319-18988-8_5(73-98)Online publication date: 2015
https://doi.org/10.1007/978-3-319-18988-8_5
Schaller RElsweiler DElsweiler DLudwig BAzzopardi LWilson M(2014)Itinerary recommendersProceedings of the 5th Information Interaction in Context Symposium10.1145/2637002.2637024(185-194)Online publication date: 26-Aug-2014
https://dl.acm.org/doi/10.1145/2637002.2637024
Schaller RHarvey MElsweiler DElsweiler DLudwig BAzzopardi LWilson M(2014)Relating user interaction to experience during festivalsProceedings of the 5th Information Interaction in Context Symposium10.1145/2637002.2637009(38-47)Online publication date: 26-Aug-2014
https://dl.acm.org/doi/10.1145/2637002.2637009
Show More Cited By

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