Friday, April 19: More than 100,000 people have participated in experiments on Lab in the Wild.
Sunday, March 10: Our SPRWeb paper will receive a best paper award at CHI 2013 and our paper on predicting first impressions of web site aesthetics will get an honorable mention. Both will be presented in the Aesthetics and the Web session on Wednesday morning.
Tuesday, March 5: A few days ago at CrowdCamp, we have experimented with new ways to elicit creative ideas from crowds by combining techniques from Design, Improv Theater, Crowdsourcing, and AI. Here's our story.
Saturday, January 26: The final versions of our CHI'13 papers are now available:
- Crowdsourcing Performance Evaluations of User Interfaces
- Predicting Users' First Impressions of Website Aesthetics With a Quantification of Perceived Visual Complexity and Colorfulness
- SPRWeb: Preserving Subjective Responses to Website Colour Schemes through Automatic Recolouring
Wednesday, November 27: Our CSCW'13 paper Doodle Around the World: Online Scheduling Behavior Reflects Cultural Differences in Time Perception and Group Decision-Making is now available. So are the data!
Wednesday, July 25: How we perceive and process information can differ depending on where we grew up. Visit our newly launched Lab In The Wild to find out where you are really from.
About The Group
The Intelligent Interactive Systems Group at Harvard was founded in September of 2009. We are interested in how intelligent technologies can enable novel ways of interacting with computation, and in the new challenges that human abilities, limitations and preferences create for machine learning algorithms embedded in interactive systems.
About Intelligent Interactive Systems
Intelligent Interactive Systems are fundamentally hard to design because they require intelligent technology that is well suited for people's abilities, limitations, and preferences; they also require entirely novel interactions that can give the user a predictable and reliable experience despite the fact that the underlying technology is inherently proactive, unpredictable, and occasionally wrong. Thus, design of successful intelligent interactive systems requires intimate knowledge of and ability to innovate in two very disparate areas: human-computer interaction and artificial intelligence or machine learning.
What We Do
Our projects span the full range from formal user studies to statistical machine learning. We have worked on developing new intelligent technologies to enable novel interactions (e.g., SUPPLE system) and on understanding the principles underlying how people interact with intelligent systems (e.g., the project on exploring the design space of adaptive user interfaces). Our Brain-Computer Interface project aims at developing a new set of interactions for efficiently controlling complex applications, and we are also interested in building and studying complete applications. One particular area of inteterest is the ability-based user interfaces -- an approach for adapting interactions to the individual abilities of people with impairments or of able-bodied people in unusual situations.