(Georgia Institute of Technology, 2015-05)
Li, Boyang
The cognitive mechanism of humor has been studied for centuries, with multiple seemingly incompatible
theories proposed. Recent research in emotions suggests human emotions are tightly coupled and closely interact with other types of cognitive processes. This entangled nature contributes
to the difficulty of humor research. In this paper, I attempt to provide a single, unified
framework of humor, grounded in recent developments on emotion and dual-process cognition. I
propose that humor comprehension consists of a four-step dynamic process: surprise, reflection,
dismissal and compensation. The proposed theory provides a modern update on existing theories
of humor, and is capable of explaining several phenomena that cannot be easily explained by existing theories. I also discuss the implication of the theory on creating computational systems that can create or perceive humor.
(Georgia Institute of Technology, 2014-10-26)
Valentin, Giancarlo
As is the case with new scientific disciplines,
Animal-Computer Interaction (ACI) has motivated the re-examination of solved
and unsolved issues in the philosophy of science. Using canine-human interaction as an example, these challenges are traced back to their roots in
existing disciplines. We argue that, as long as research adheres to minimal standards, it should be considered ACI regardless of its stance on these
debates.
Working dogs have improved the lives of thousands of people.
However, communication between human and canine partners is currently
limited. The main goal of the FIDO project is to research fundamental
aspects of wearable technologies to support communication between working
dogs and their handlers. In this pilot study, the FIDO team investigated
on-body interfaces for assistance dogs in the form of wearable technology
integrated into assistance dog vests. We created four different sensors that
dogs could activate (based on biting, tugging, and nose gestures) and tested
them on-body with three assistance-trained dogs. We were able to demonstrate
that it is possible to create wearable sensors that dogs can reliably
activate on command.