Mobile Search Usability Design Considerations
Earlier this week I had the pleasure of presenting a paper titled “The Information Needs of Mobile Searchers” at the Searching for Fun workshop at ECIR 2012, organised by David Elsweiler, Morgan Harvey and Max Wilson. I was able to attend only the morning session (as I was presenting my own tutorial in the afternoon), but still managed to gain some very useful feedback and ideas for extending and improving the framework. I’ll expand on those in a subsequent post, but for now here is the paper in more or less its original form. Note that this is co-authored with my colleague Tyler Tate, who proposed the original framework that led to the paper you see below.
The growing use of Internet-connected mobile devices demands that we reconsider search user interface design in light of the context and information needs specific to mobile users. In this paper we present a framework of mobile information needs, juxtaposing search motives—casual, lookup, learn, and investigate—with search types—informational, geographic, personal information management, and transactional.
We live in a post-desktop era. In the UK alone, 45% of Internet users used a mobile phone to connect to the Internet in 2011 (ONS, 2011), and Morgan Stanley (2010) predicts that by 2014 there will be more mobile Internet users than desktop Internet users globally. Not only are more people connecting with mobile devices, but they’re also consuming more and more data. Mobile data usage more than doubled every year between 2008 and 2011, and is predicted to grow from 0.6 exabytes per month in 2011 to 6.3 EB/month in 2015 (Cisco, 2011). The numbers are impressive, but all it really takes is a quick glance at the people around us to recognize that mobile Internet is pervasive.
Yet the practice of designing search experiences for mobile users is still in its infancy. The challenge is much more sophisticated than simply reworking existing user interfaces to fit on the smaller screens of mobile devices, which would be to ignore the vast situational differences between desktop and mobile search. Mobile search user interfaces must be based on an understanding of the contextual factors specific to the mobile user.
Chief among those contextual factors are the information needs that give rise to mobile search activities in the first place. In this paper we propose a framework for describing the diverse range of information needs observed in mobile users. Of particular relevance to the Search 4 Fun! workshop is our inclusion of the casual category alongside traditional classifications of information needs.
2. TWO DIMENSIONS OF INFO NEEDS
Mobile information needs can be defined by two criteria: search motive and search type.
2.1 Search Motive
The search motive describes the sophistication of the information need, along with the degree of higher-level thinking it involves and the time commitment required to satisfy it (see Figure 1). The lookup, learn, and investigate elements of motive shown below are derived from Gary Marchionini’s work on exploratory search (Marchionini, 2006), while the casual element has been more recently studied by Max Wilson and David Elsweiler (2010):
- Casual. Undirected/semi-directed activities with a hedonistic rather than task-driven purpose.
- Lookup. “Known item” searching.
- Learn. Iterative information gathering that requires moderate interpretation and judgment.
- Investigate. Long-term research and planning that demands significant high-level thinking.
While lookup, learn, and investigate are informational in nature, casual activities are more experientially and hedonistically motivated, “frequently associated with very under-defined or absent information needs” (Wilson and Elsweiler, 2010). Though it may be possible to describe some casual activities in terms of other motives (e.g. casual information needs that share qualities of lookup or investigation), we believe that differentiating casual from the other three motives provides both clarity and legitimization.
2.2 Search Type
The search type, on the other hand, is concerned with the genre of information being sought (see Figure 2). Broder (2002) is often cited for recognizing the informational and transactional nature of many needs, while the geographic and personal information management goals identified by Church and Smyth (2009) are especially significant for mobile users:
- Informational. Information about a topic.
- Geographic. Points of interest or directions between locations.
- Personal Information Management. Private information not publicly available.
- Transactional. Action-oriented rather than informational goals.
3. A MATRIX OF MOBILE INFORMATION NEEDS
While the dimensions of motive and type provide a framework, they don’t tell us about the information needs themselves. Fortunately, Sohn et al. (2008) and Church and Smyth (2009) have each conducted diary studies in which smartphone-equipped adults spread across the globe were instructed to record every information need that arose over a period of weeks. In addition, Cui and Roto (2008) have performed a contextual inquiry study of mobile Web usage. This research enables us to construct a matrix of mobile information needs based on the motive and type dimensions (see Table 1).
The majority of the information needs in the matrix were explicitly identified in the diary studies, though we added a few of our own in order to fully populate the framework. Below are examples of each information need, with quotation marks denoting statements recorded in the original diary studies.
- Window Shopping. I don’t know what I want. Show me stuff.
- Trivia. “What did Bob Marley die of, and when?”
- Information Gathering. “How to tie correct knots in rope?”
- Research. What is Keynesian economics and is it sustainable?
- Friend Check-ins. “Where are Sam and Trevor?”
- Directions. “Directions to Sammy’s Pizza”
- Local Points of Interest. “Where is the nearest library or bookstore?”
- Travel Planning. Flights, accommodations, and sights for my trip to Italy.
3.3 Personal Information Management
- Checking Notifications. “Email update for work”
- Checking Calendar. “Is there an open date on my family calendar?”
- Situation Analysis. “What is my insurance coverage for CAT scans?”
- Lifestyle Planning. What should my New Year’s resolutions be this year?
- Act on Notifications. Mark as read, delete, respond to, etc.
- Price Comparison. “How much does the Pantech phone cost on AT&T.com?”
- Online Shopping. I want to buy a watch as a gift. But which one?
- Product Monitoring. I know the make and model of used car I want. Alert me when new ones are listed.
Table 1: A matrix of mobile information needs
This framework of mobile information needs originated out of an attempt to synthesize top-down HCIR concepts with bottom-up empirical data. We hope that future investigations of mobile behavior will use this framework as a conceptual point of reference when both constructing their studies and analyzing the results, which will would undoubtedly bring about iterative improvement to the framework.
While the specific information needs that we have identified are unique to the mobile context, the dimensions of search motive and search type are themselves generic. We envision future studies applying this same framework to desktop information needs, as well as comparing and contrasting desktop vs. mobile information needs.
In this paper we have proposed a framework of mobile information needs in order to inform the design of mobile search user interfaces.
- Broder, A. 2002. A taxonomy of web search. SIGIR Forum, Fall 2002, Vol. 36, No. 2
- Church, K. and Smyth, B. 2009. Understanding the intent behind mobile information needs. IUI’09, February 8 – 11, 2009, Sanibel Island, Florida, USA. Copyright 2009 ACM 978-1-60558-331-0/09/02
- Cisco. 2011. Cisco visual networking index: global mobile data traffic forecast update, 2010–2015.
- Cui, Y., & Roto, V. 2008. How people use the web on mobile devices.WWW 2008, April 21–25, 2008, Beijing, China. ACM 978-1-60558-085-2/08/04.
- Marchionini, G. 2006. Exploratory search: from finding to understanding. In Commun. ACM 49 (2006), no. 4, 41–46.
- Morgan Stanley: Meeker, M., Devitt, S., Wu, L. 2010. Internet trends.
- Office for National Statistics 2011. Internet access – households and individuals, 2011.
- Sohn, T., Li, K., Griswold, W., Hollan, J. 2008. A diary study of mobile information needs. CHI 2008, April 5–10, 2008, Florence, Italy. Copyright 2008 ACM 978-1-60558-011-1/08/04