Story-telling, (including personal narrative), is a big part of our personal and social communication. This talk will identify challenges and solutions that look at the generation of narrative for social communication. We describe a way to “automatically” generate personal stories. The stories which are mix of natural language and multimedia, are based on sensor, and other data, collected with a mobile phone. This study will place a particular focus on the natural language generation task of document structuring: segmenting this data into meaningful and distinct events.
Nava Tintarev has worked on applied HCI projects with themes such as explanations in recommender systems, recommendations in a mobile travel scenario, and more recently, natural language generation for assistive technology. Currently, she is working as a Research Fellow at the University of Aberdeen where she is a member of the Natural Language Generation Group. She has been working on the “How was School today…?” project, which helps children with complex communication needs create and tell a story about their day at school (which will be the applied setting for the talk on the 19th of July). Before that, she was at Telefónica Research, Barcelona, working on user-centred issues in recommender systems.
Her doctoral thesis focused on explanations for recommender systems, and one of her papers on the topic won her the James Chen best student paper award at the International Conference on Hypermedia (2008). For the last three years she has also been co-organizing a workshop on explanation-aware computing (ExaCt) (http://exact2011.workshop.hm/).