Abstract

The art of designing user interfaces requires the efficient management of all the elements with which they cooperate. Problems appear with the effective delivery of messages to users dynamically switching web pages. This happens, for example, with chatbots appearing in peripheral areas. They are difficult to notice and are often missed during website exploration. This study shows the impact of the intensity of content changes in the chatbot area on the user response. The study was performed for changes in the peripheral area for different reaction times. The results showed that the intensity of changes within the chatbot area mainly impacts reactions within 400 ms; for a longer response, the difference between substantial and small changes is lower. Chatbot dynamics can be adjusted to user behavior to increase awareness and the performance of message delivery.

Recommended Citation

Bortko,K., Fornalczyk, K., & Jankowski, J. (2021). Towards Effective Peripherial Chatbot Communication with Adjustable Intensity of Content Changes. In E. Insfran, F. González, S. Abrahão, M. Fernández, C. Barry, H. Linger, M. Lang, & C. Schneider (Eds.), Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings). Valencia, Spain: Universitat Politècnica de València.

Paper Type

Short Paper

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Towards Effective Peripherial Chatbot Communication with Adjustable Intensity of Content Changes

The art of designing user interfaces requires the efficient management of all the elements with which they cooperate. Problems appear with the effective delivery of messages to users dynamically switching web pages. This happens, for example, with chatbots appearing in peripheral areas. They are difficult to notice and are often missed during website exploration. This study shows the impact of the intensity of content changes in the chatbot area on the user response. The study was performed for changes in the peripheral area for different reaction times. The results showed that the intensity of changes within the chatbot area mainly impacts reactions within 400 ms; for a longer response, the difference between substantial and small changes is lower. Chatbot dynamics can be adjusted to user behavior to increase awareness and the performance of message delivery.