In this project, we aim to address the systematically-reduced standardized test scores of African American students compared to their Euro-American peers ...
Human-Computer Interaction Institute
Justine Cassell’s research interests originated in the study of human-human conversation and storytelling. Progressively she became interested in allowing computational systems to participate in these activities. This new technological focus led her to deconstruct the linguistic elements of conversation and storytelling in such a way as to embody machines with conversational, social and narrative intelligence so that they could interact with humans in human-like ways. Increasingly, however, her research has come to address the impact and benefits of technologies such as these on learning and communication.
In particular, Cassell is credited with developing the Embodied Conversational Agent (ECA), a virtual human capable of interacting with humans using both language and nonverbal behavior. More recently Cassell has investigated the role that the ECA can play in children’s lives, as a Story Listening System (SLS): peer support for learning language and literacy skills. And Cassell has also employed linguistic and psychological analyses to look at the effects of online conversation among a particularly diverse group of young people on their self-esteem, self-efficacy, and sense of community.
Once machines have human-like capabilities, can they be used to evoke the best communicative skills that humans are capable of, the richest learning? This is the goal of Cassell’s research: to develop technologies that evoke from humans the most human and humane of our capabilities, and to study their effects on our evolving world.
Cassell is the director emerita of the HCII. Currently, in addition to her role as a professor, Cassell is also associate dean of the School of Computer Science for technology strategy and impact at CMU, co-director of the university's Simon Initiative, and co-director of the university's Yahoo-InMind collaboration.