Keynote at ICWSM-2018 workshop on Chatbots: June 25, 2018, Palo Alto, CA
My interest in and vision for Computing for Human Experience is centered on developing and using AI to serve, rather than replace, humans. In order to make technology appear more human-like, it is critical to align technology with human’s multi-sensory capabilities, and correspondingly deal with multimodal information. Two decades ago, Mark Weiser’s ubicomp vision brought welcome advancement in human-computer interaction. Next frontier for more natural interactions between man and machines is voice and language, which I am sure will be followed by integration with other senses, esp. vision, leading to chatbots merging into the broader technology of robots. In the interim, chatbots that interact with humans in more natural ways hold tremendous promise. The bigger challenge in my view is not the “front end” such as speech recognition and transcription, but the “back end” - processing information as a human brain would, making interactions with computing feel more natural to humans. This calls for a further breakthrough in contextualizing and personalizing information exchange between a human and chatbot to better understand the human needs and the actions that can be taken.
In this talk, I will focus on chatbots that are narrow but deep (very good in a well-defined application or domain) to help address humans in the way an expert (e.g., a clinician in a healthcare context) would. I will take examples from the augmented personalized health applications we are pursuing at Kno.e.sis using our kHealth technology for achieving better outcomes for managing asthma, post-surgery care, and depression. I seek to explain what a human-like chatbot would be expected to do, how knowledge-enhanced AI and big data approaches may advance the current state of the technologies in Natural Language Understanding (NLU) and Q/A and if successful, how this can demonstrate the promise of the machines serving vital human needs and wants.
For Augmented Personalized Health and Computing for Human Experiences: See http://knoesis.org/vision