Article

Mobile search with text messages: designing the user experience for google SMS

Authors:

Rudy Schusteritsch,

Shailendra Rao,

Kerry RoddenAuthors Info & Claims

CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems

Pages 1777 - 1780

https://doi.org/10.1145/1056808.1057020

Published: 02 April 2005 Publication History

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Abstract

SMS (Short Message Service) is already a hugely popular communication technology for mobile phones, with users sending billions of text messages to each other every year. The goal of the Google SMS service is to provide this large existing base of users with access to the types of information they are most likely to need when mobile. Users simply send their query as a text message and receive their results in the reply. This enables users to search for information without having to upgrade their phone or subscribe to specialized mobile data services. In this paper we describe how we worked with the Google SMS team on the iterative design of the service's user experience. In particular, we focus on how we attempted to overcome two major constraints: the technical limitations of the SMS standard, and users' current conceptual models of both SMS and Google search.

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GSM Association. SMS (Short Message Service). http://www.gsmworld.com/technology/sms/

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James, C.L. and Reischel, K.M. Text input for mobile devices: Comparing model prediction to actual performance. In Proc. CHI 2001, ACM, 365--371.

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Jones, M., Buchanan, G., and Thimbleby, H. Sorting out searching on small screen devices. In Proc. Mobile HCI 2002, LNCS 2411, Springer, 81--94.

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Raghunath AMetzger AEaston HLiu XWang FWang YZhao YMpogole HAnderson R(2024)eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural TanzaniaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642099(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642099
Weld GPerrier TAker JBlumenstock JDillon BKamanzi AKokushubira EWebster JAnderson RMandryk RHancock MPerry MCox A(2018)eKichabiProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173707(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173707
Hamid BSamir K(2016)Contextual Source Selection for Federated Search in Mobile Environment2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)10.1109/WAINA.2016.117(883-888)Online publication date: Mar-2016
https://doi.org/10.1109/WAINA.2016.117
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Index Terms

Mobile search with text messages: designing the user experience for google SMS
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
    2. Interaction paradigms

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Published In

CHI EA '05: CHI '05 Extended Abstracts on Human Factors in Computing Systems

April 2005

1358 pages

ISBN:1595930027

DOI:10.1145/1056808

Conference Chair:
Gerrit van der Veer
Vrije Universiteit, The Netherlands
,
Program Chair:
Carolyn Gale
Stanford University, Stanford, CA

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]

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Association for Computing Machinery

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Published: 02 April 2005

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Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Raghunath AMetzger AEaston HLiu XWang FWang YZhao YMpogole HAnderson R(2024)eKichabi v2: Designing and Scaling a Dual-Platform Agricultural Technology in Rural TanzaniaProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642099(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642099
Weld GPerrier TAker JBlumenstock JDillon BKamanzi AKokushubira EWebster JAnderson RMandryk RHancock MPerry MCox A(2018)eKichabiProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173707(1-12)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3173574.3173707
Hamid BSamir K(2016)Contextual Source Selection for Federated Search in Mobile Environment2016 30th International Conference on Advanced Information Networking and Applications Workshops (WAINA)10.1109/WAINA.2016.117(883-888)Online publication date: Mar-2016
https://doi.org/10.1109/WAINA.2016.117
Perrier TDeRenzi BAnderson RSathiaseelan AZennaro MBelding EChen J(2015)USSDProceedings of the 2015 Annual Symposium on Computing for Development10.1145/2830629.2830645(13-21)Online publication date: 1-Dec-2015
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Langer ABanga RMittal ASubramaniam LSondhi P(2014)A text based drug query system for mobile phonesInternational Journal of Mobile Communications10.1504/IJMC.2014.06365612:4(411-429)Online publication date: 1-Jul-2014
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Shaikh AShah RShaikh R(2013)SMS based FAQ Retrieval for Hindi, English and MalayalamProceedings of the 4th and 5th Annual Meetings of the Forum for Information Retrieval Evaluation10.1145/2701336.2701642(1-8)Online publication date: 4-Dec-2013
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Michel Lombera IMoser LMelliar-Smith PChuang Y(2013)Mobile Decentralized Search and Retrieval Using SMS and HTTPMobile Networks and Applications10.1007/s11036-012-0412-018:1(22-41)Online publication date: 1-Feb-2013
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Decentralized search and retrieval for mobile networks using SMS

Creating of Mobile Search System for Traffic Inquiry

A usability study of short message service on middle-aged users

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