Using Health Chatbots for Behavior Change: A Mapping Study

By Juanan Pereira, Oscar Daniel Diaz. 2019

195 citations recorded by the source corpus.

Subfields: Applied Psychology, Artificial Intelligence, General Health Professions, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Y-Lan Boureau
2. Emily Dinan
3. Gavin Abercrombie
4. Shannon L. Spruit
5. Dirk Hovy
6. A. S. Bergman
7. Verena Rieser
8. Jason Aaron Edward Weston

In General Health Professions

1. Tobias Kowatsch
2. Dirk Hovy
3. Shafiq R. Joty
4. Shannon L. Spruit

In Natural Language Processing

1. Y-Lan Boureau
2. Emily Dinan
3. Gavin Abercrombie
4. Dirk Hovy
5. Shannon L. Spruit
6. Verena Rieser
7. A. S. Bergman
8. Jason Aaron Edward Weston

Citations in the corpus

• Guiding the Release of Safer E2E Conversational AI through Value Sensitive Design (2022, methodology): “els and use expert-produced rather than generic data (e.g. Brixey et al., 2017; Fadhil and AbuRa’ed, 2019; Vaira et al., 2018; Pereira and Díaz, 2019).”
• Conversational Agents in Health Care: Scoping Review and Conceptual Analysis (2020, background): “Existing reviews on conversational agents focus on a certain subtype of agents such as virtual coaches [31-33] or embodied conversational agents (ECAs) [34] or on specific functionalities of these agents such as behavior change [35] or mental health applications [36,37].”
• The Personalization of Conversational Agents in Health Care: Systematic Review (2019, background): “Another recent mapping study on health chatbots for behavior change found personalization to be one of the most appreciated technical enablers [69].”