The effects of virtual human's verbal persuasion strategies on user intention and behavior. Issue 156 (December 2021)
- Record Type:
- Journal Article
- Title:
- The effects of virtual human's verbal persuasion strategies on user intention and behavior. Issue 156 (December 2021)
- Main Title:
- The effects of virtual human's verbal persuasion strategies on user intention and behavior
- Authors:
- Zalake, Mohan
Siqueira, Alexandre Gomes de
Vaddiparti, Krishna
Lok, Benjamin - Abstract:
- Highlights: Relative effectiveness of Cialdini's persuasion strategies varies in the virtual human context. Implementing Cialdini's persuasion strategies using virtual humans can help overcome the limitations of prior work in human-computer persuasion. Latent Profile Analysis was used to identify personality types in the study population. User personality influences the effectiveness of Cialdini's persuasion strategies in the context of virtual humans. Abstract: Prior work has found that computers can effectively use six persuasion strategies characterized by Cialdini to influence people's intentions and behaviors. However, researchers are yet to examine the effectiveness of Cialdini's persuasion strategies with virtual humans. Virtual humans provide a human representation to computers, which influences how people respond to persuasion attempts from computers. To evaluate Cialdini's persuasion strategies with virtual humans, we conducted an online study ( N = 183 ), where a virtual human promoted a coping skill for good mental health using Cialdini's six persuasion strategies. Our results reveal that strategies that persuaded users by increasing the feeling of liking and reciprocity towards the virtual human were most successful in changing user intentions to perform the recommended behavior. Furthermore, the relative effectiveness of strategies that involved persuasion using expertise and normative beliefs varied for different user personality types. We draw conclusions andHighlights: Relative effectiveness of Cialdini's persuasion strategies varies in the virtual human context. Implementing Cialdini's persuasion strategies using virtual humans can help overcome the limitations of prior work in human-computer persuasion. Latent Profile Analysis was used to identify personality types in the study population. User personality influences the effectiveness of Cialdini's persuasion strategies in the context of virtual humans. Abstract: Prior work has found that computers can effectively use six persuasion strategies characterized by Cialdini to influence people's intentions and behaviors. However, researchers are yet to examine the effectiveness of Cialdini's persuasion strategies with virtual humans. Virtual humans provide a human representation to computers, which influences how people respond to persuasion attempts from computers. To evaluate Cialdini's persuasion strategies with virtual humans, we conducted an online study ( N = 183 ), where a virtual human promoted a coping skill for good mental health using Cialdini's six persuasion strategies. Our results reveal that strategies that persuaded users by increasing the feeling of liking and reciprocity towards the virtual human were most successful in changing user intentions to perform the recommended behavior. Furthermore, the relative effectiveness of strategies that involved persuasion using expertise and normative beliefs varied for different user personality types. We draw conclusions and design implications for using Cialdini's persuasion strategies with virtual humans. … (more)
- Is Part Of:
- International journal of human-computer studies. Issue 156(2021)
- Journal:
- International journal of human-computer studies
- Issue:
- Issue 156(2021)
- Issue Display:
- Volume 156, Issue 156 (2021)
- Year:
- 2021
- Volume:
- 156
- Issue:
- 156
- Issue Sort Value:
- 2021-0156-0156-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-12
- Subjects:
- Virtual humans -- Persuasion -- Behavior change -- Health -- Personality -- Cialdini
Human-machine systems -- Periodicals
Systems engineering -- Periodicals
Human engineering -- Periodicals
Human engineering
Human-machine systems
Systems engineering
Periodicals
Electronic journals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10715819 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ijhcs.2021.102708 ↗
- Languages:
- English
- ISSNs:
- 1071-5819
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.288100
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 19338.xml