The Effects of Data Visualization on User Perceptions of a Health Chatbot

Chatbots are increasingly used in healthcare as an accessible and scalable means to communicate information. While visualization can provide summaries of health data, their impact on the comprehension, perceived usefulness, and trustworthiness of chatbots is yet unknown. We examined the effects of v...

Full description

Saved in:
Bibliographic Details
Published in2022 Workshop on Visual Analytics in Healthcare (VAHC) pp. 01 - 06
Main Authors Kong, Ha-Kyung, Zhu, Ruijia, Lu, Audrey Zhixin, He, Mingao, Yuwen, Weichao
Format Conference Proceeding
LanguageEnglish
Published IEEE 05.11.2022
Subjects
Applied computing-Health Informatics
Chatbots
Conferences
Data visualization
Human-centered computing-Visualization-Empirical studies in HCI
Medical services
Stress
Visual analytics
Online AccessGet full text

Cover

More Information
Summary:Chatbots are increasingly used in healthcare as an accessible and scalable means to communicate information. While visualization can provide summaries of health data, their impact on the comprehension, perceived usefulness, and trustworthiness of chatbots is yet unknown. We examined the effects of visualization (intervention group) of health data compared to text-only representation (control group) among 96 family caregivers in a randomized controlled trial. The results showed that visualizing the relationship between symptom levels (e.g. stress) and health solutions had a significant impact on the comprehension of the health trends and the perceived effectiveness of the solution. While there was an increased trust level in the visualization group, the difference was not statistically significant. The qualitative feedback aligned with the quantitative results. We discussed future directions in leveraging the synergistic effects of visualization and chatbots to increase health literacy and encourage technology adoption.
ISSN:2771-6538
DOI:10.1109/VAHC57815.2022.10108519