This post summarizes the research I published in 2013. The work divides roughly into three components covering: 1) the role of time in search, 2) the use of human computation in search, and 3) computer mediated communication.
Time in Search
For many years a consistent theme in my research has been to look at the role that time plays in people’s information interactions. Our past information interactions shape what we know and provide insights into how we will use information in the future. This year in particular, I explored:
- Search trends
- Interaction with change
- Slow search
- Behavioral Dynamics on the Web: Learning, Modeling and Prediction
- Towards Supporting Search over Trending Events with Social Media
- Understanding How People Interact with Web Search Results that Change in Real Time Using Implicit Feedback
- Benevolent Deception in HCI
- Search Engines’ Quest for Speed
- The Case for Slow Search
- Slow Search: Information Retrieval without Time Constraints
- Slow Search: Improving Information Retrieval by Including People in the Search Process
Human Computation in Search
I also devoted a substantial amount of time to exploring the use of human computation in search. This builds on a standing interest in the role other people play in supporting our searches. In previous posts, I have discussed online question asking, the difference between asking and searching, and how to ask an effective question. This evolved in 2013 into an interest in exploring the use paid crowd workers. Human computation not only helps us understand question asking, but also allows us to try out (or “Wizard of Oz”) slow search experiences.
In addition to looking at how paid crowd workers can augment algorithmic search and question asking, I have also looked at what makes using human computation in search different from using computer computation. One opportunity is that using people may make personalization easier. Personalized human computation has the potential to go beyond existing techniques like collaborative filtering to provide personalized results on demand, over personal data, and for complex tasks. But human computation also presents a challenge, in that human workers are, well, people. The search engine optimization market is estimated at $20 to $30 billion dollars in the United States alone, and poses a real challenge for search engines. If crowd systems are used in search, they will certainly become targets for new types of manipulative attacks.
Computer Mediated Communication
My remaining publications for the year center around computer mediated communication.
- Remote communication
- Co-located communication
- I Know You Know I’m Busy
- Understanding How the Projection of Availability State Impacts the Reception of Incoming Communication
- Clarifications and Question Specificity in Synchronous Social Q&A