Social Ideation

Project Lead: Joel Chan
This project investigates how social computing systems can optimize real-time creative collaboration, whether in teams or with crowds. We are actively developing a Web-based social computing system for brainstorming that facilitates managing the interactions of brainstormers with each other so that the solution space is explored with the right combination of breadth and depth. This is accomplished through real-time analysis, synthesis, and adaptive filtering of interactions between brainstormers and their ideas.

There are several opportunities on this project to gain experience working on engaging and challenging HCI research problems. For example, what are optimal ways to distribute real-time synthesis of ideas across multiple workers to maximize their value for inspiring creativity? What are the most useful visualizations and interactions that can support rapid understanding and optimal shaping of a continuously evolving solution space? How can we best manage the delicate tradeoff between being inspired by others’ ideas and being fixated by others while maintaining a sense of team connectedness and synergy? Students who join this project will help to build, test, and refine system components to address these research problems, and also have the opportunity to creatively influence the direction of the project! They will gain valuable experience prototyping social computing systems and translating HCI theory into tangible software that can have a real impact. There is also the potential for co-authorship on full research papers for top-tier HCI conferences! The ideal candidate will have interests in social computing and/or creativity, and prior experience with interactive web application development (in particular, Javascript/Node and/or Meteor.js) and/or popular visualization frameworks, such as D3.js. Interested students should email their resume and a description of their experience with web development and research interests to Joel Chan .

PeerPresents

Project Lead: Amy Shannon
Our team seeks to improve peer feedback on student presentations. Many college courses require students to give in-class presentations. This raises a number of challenges. Students who watch the presentation are typically not participating actively. Professors can be overwhelmed trying to provide feedback while also managing the class. The presenting students would benefit from receiving more feedback than the professor can provide. This project introduces PeerPresents, an in-class peer feedback system we developed to improve the feedback process for in-class presentations. We are looking for undergraduates to help develop the tool, implement classroom studies, and analyze data. Ideal candidates will be familiar with Javascript, Node.js, CSS, MongoDB. You will have the opportunity to work with experts in HCI, learning science, and game design and to creatively influence the direction of the research! If interested, please email your resume to Amy Shannon.

Collaborative Synthesis

Project Lead: Steven Dow
Synthesis is the practice of integrating, organizing, filtering, and evaluating information as part of a design process. Limitations on time, resources, and human memory place constraints on how much information can be synthesized by one person. This project explores how this process may be distributed across many people. To support this, we have developed a human computational workflow for distributed clustering, which enable groups of different sizes to collect, cluster, and label items such as design examples, field research, and competing solutions.

We are looking for undergraduate or masters students to contribute to this research. You may aid in development of real-time interactive tools for collaborative synthesis and/or help us run experiments to test different approaches. We seek applicants with knowledge of basic Web programming (HTML, PHP, and JavaScript) or with experience running experiments. You will gain the opportunity to work with expert HCI researchers and to creatively influence the direction of the research! Former student collaborators have gone on to top graduate programs, and have co-authored full research papers accepted to top-tier HCI conferences. If interested, please email your resume and a short description of your experience with web development and research experiments to Steven Dow.

Online Feedback for Design

Project Lead: Steven Dow
This project explores novel opportunities for how can innovators obtain and make sense of diverse feedback from potential stakeholders or customers. We have been developing tools to enable innovators to post designs, to author evaluation criteria, to recruit feedback providers through social media or other online forums, and to visualize conflicting feedback so as to prioritize changes for future iterations of designs. The goal is to enable people to obtain authentic, honest, and knowledgeable feedback with clear and actionable steps forward.

We are looking for undergraduate or masters students to contribute to this research. You may aid in development of interactive tools for exchanging feedback and/or help us run/analyze online experiments. We seek applicants with knowledge of basic Web programming (HTML, PHP, and JavaScript) or with background in psychology or learning science. You will gain the opportunity to work with experts in HCI and learning science and to creatively influence the direction of the research! Former student collaborators have gone on to top graduate programs, and have co-authored full research papers accepted to top-tier HCI conferences. If interested, please email your resume and a short description of your experience with web development and research experiments to Steven Dow.

Collective Planning

Project Lead: Steven Dow
This project explores how social computing system can enable groups of people to collaborative plan for future events. The goal is to combine preferences and constraints from all stakeholders so that people feel engaged and have a better overall experience. As a concrete example, this project has create a series of software interfaces called Cobi, which seeks to engage an entire academic community in planning a large-scale conference. Cobi elicits community members' preferences and constraints, and provides a scheduling tool empowering organizers to take informed actions toward improving the schedule. We are looking for undergraduate or masters students to contribute to this research. Your main responsibilities will be to aid in development of interactive tools and to help analyze data from live deployments of these tools. Ideally, applicants will have knowledge in HTML, PHP, and JavaScript. You will gain experience with development frameworks real-time browser interaction. You will also have the opportunity to work with expert HCI researchers and to creatively influence the direction of the research! Former student collaborators have gone on to top graduate programs, and have co-authored full research papers accepted to top-tier HCI conferences. If interested, please email your resume and a short description of your experience with web development and research experiments to Steven Dow.

Interpreting Behavior with Crowds

Project Lead: Walter Lasecki and Steven Dow
Social science research often relies on coding of video or other data for subjective events. This can be very time consuming and labor intensive for a single individual. This project aims to allow researchers and other analysts to quickly and easily interact with large sets of video data to identify and mark subjective events by crowdsourcing the interpretation process. We have shown it is possible to make quick calls to crowd workers, then aggregate their solutions. Ongoing work aims to allow even more robust interactions, enabling users to have a 'conversation' with their data using the crowd as an intermediary.

We are looking for students to help develop the crowd analysis system and to conduct a study. You will gain experience developing crowdsourcing technologies, running studies, conducting data analysis, and writing research papers. You will have the opportunity to creatively influence the direction of the research! Former student collaborators have gone on to top graduate programs, and have co-authoed full research papers accepted to top-tier HCI conferences. If interested, please email your resume and a description of your experience with research experiments to Walter Lasecki.

Citizensourcing

Project Lead: Narges Mahyar
The internet has enabled decision makers in government to collect ideas, suggestions and opinions on civic-related issues. While such strategies typically succeed at collecting opinions from citizens, they often lack follow through in which citizens identify conflicts, empathize with other viewpoints, and collectively generate and act on negotiated solutions. To address these challenges, our Citizensourcing project focuses on supporting large-scale civic engagement and extending current civic systems where citizens become “sensors” for reporting and collecting civic-related issues, and also participate in problem-solving processes.

We are looking for undergraduate or masters students to contribute to this research. You will have the opportunity to work with experts in HCI to creatively influence the direction of the research. There are several opportunities in this project including: research and report current technologies in use by different cities around the world and their engagement processes, literature review on research papers in public engagement technologies, local observations of public engagement meetings, and qualitative analysis of the results. If interested, please email your resume to Narges Mahyar.

ConsensUs

Project Lead: Narges Mahyar
Groups often face difficulty reaching consensus. For complex decisions with multiple latent criteria, discourse alone may impede groups from pinpointing fundamental disagreements. (How) can technology help groups reach better decisions together? To explore this, our ConsensUs project explores an approach for multi-criteria group decision making that highlights salient agreements and disagreements between group members.

We are looking for undergraduate or masters students to contribute to this research. We need designers to work on alternative prototypes for the tool, developers to get involved with developing/refining the tool, and others to help with running online experiments. If interested, please email your resume to Narges Mahyar.

Moocita

Project Lead: Markus Krause
Internships serve university students well, but what path do online learners have for professional training? The Moocita project investigates a new model for the work-learn relationship that ultimately enables students to earn money while taking courses. The model also supports students to find jobs that match their skill sets and personality. The project explores three aspects of the new work learn model 1) increasing authenticity of assignments 2) improving the learning experience and outcome and 3) effectively matching students to real-world teams and jobs. You can find more information on our project and the results of our research at www.moocita.com.

Students who join the project will investigate and test social and economic theories as well as build software components to answer these questions. Together we will turn our research results into prototypes to answer the pressing problems of a changing economy. Students can gain experience using modern web technology, machine learning, natural language processing, and artificial intelligence to build tools that shape the future of education and work. Students have the opportunity to be co-authors on full research papers for top-tier conferences and journals in human computer interaction, artificial intelligence, crowdsourcing, learning sciences, social sciences, and economic sciences. If you are interested in joining please email your resume and ideas to Markus Krause.