Designing for explanation-driven trust in Chatbots

Trust plays an important role in the implementation of chatbot technology. This study was also focusing on user trust in chatbots, particularly focusing on the role of response delay and explanation-driven driven subjective transparency. This research includes a pretest and a main test. In the pretest, we selected one explanation that was...

Characterization and Mitigation of High-Confidence Errors Through the Use of Human-In-The-Loop Methods: Domain Expert Driven Approach to Model Development

In the use of Machine Learning systems, attaining the trust of those that are the end-users can often be difficult. Many of the current state-of-the-art systems operate as Black-Boxes. Errors produced by these Black-Box systems, without further explanation as to why these decisions were made, will deteriorate trust. This effect is especially...

Studying the Anthropomorphic Visual Cues in Conversational Agents

With the increase of anthropomorphic conversational agents, the research on the effects of anthropomorphism in conversational agents is on the rise. However the studies cannot seem to agree on many of the raised questions and the research on the proper design of conversational agents is still lacking. This research paper attempted to contribute...

Development of an optical measuring device: Improvement of user trust, accuracy and ease-of-use

The latest optical measuring device is analyzed and evaluated on user trust, accuracy and ease-of-use. Found is that the process takes too much time and positioning on (curved) surfaces is too difficult. This results in a high threshold for usage. Next to that, the accuracy is perceived as low. During idea and concept development the focus was...