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The Effects of a Healthcare Chatbots' Language and Persona on User Trust, Satisfaction, and Chatbot Effectiveness.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	The Effects of a Healthcare Chatbots' Language and Persona on User Trust, Satisfaction, and Chatbot Effectiveness./
作者:	Linder, Courtney.
面頁冊數:	1 online resource (100 pages)
附註:	Source: Masters Abstracts International, Volume: 81-12.
Contained By:	Masters Abstracts International81-12.
標題:	Industrial engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9798645473211

The Effects of a Healthcare Chatbots' Language and Persona on User Trust, Satisfaction, and Chatbot Effectiveness.
Linder, Courtney.

The Effects of a Healthcare Chatbots' Language and Persona on User Trust, Satisfaction, and Chatbot Effectiveness. - 1 online resource (100 pages)

Source: Masters Abstracts International, Volume: 81-12.

Thesis (M.S.)--Clemson University, 2020.

Includes bibliographical references

Healthcare technology is growing in its capabilities and capacity to impact people's daily lives. One area of interest for growth is the use of chatbots and other telehealth applications that allow people to receive ubiquitous health information. The benefit of these systems is the ability to give access to pertinent, personalized healthcare information and services that could otherwise be inaccessible for some populations. With personalized information, patients may gain the information needed to make efficacious healthcare decisions which ideally will result in quicker recovery times and lower overall healthcare system costs. Chatbots have already been studied in the healthcare domain as resources for smoking cessation, diet recommendation, and other assistive applications. Yet, few studies have examined the specific design characteristics of healthcare chatbots. My research objective was to analyze two characteristics, language and persona, and their effect on outcomes such as effectiveness, usability, and trust in a chatbot. A between-subject study was performed where participants interacted with a chatbot. Each of chatbot conditions had a language of either technical or non-technical, and persona of Doctor, Nurse, or Nursing Student Sarah. Language was found to have a significant effect on effectiveness, but not trust or usability. In particular, participants who experienced technical language improved significantly greater than those who experienced non-technical language. Persona was found to not be significant for any of the outcomes. Overall, this study demonstrated a need to further study and understand how chatbot design characteristics impact users and how they comprehend the information given to them, particularly from a healthcare perspective.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798645473211Subjects--Topical Terms:

679492
Industrial engineering.
Subjects--Index Terms:

chatbot designIndex Terms--Genre/Form:

554714
Electronic books.

The Effects of a Healthcare Chatbots' Language and Persona on User Trust, Satisfaction, and Chatbot Effectiveness.
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