Work

Chatbots for Experience Sampling-Initial Opportunities and Challenges

Year: 2021

Type: conference-paper

Abstract: The Experience Sampling Method is a widely used methodology for the collection of self-report data. These self-reports are typically collected through bespoke mobile applications or text messages. Recently, an increasing number of social messaging applications have introduced chatbots – automated services that operate inside existing chat applications. In this paper, we present an initial study on the use of chatbots for self-report studies. Furthermore, we outline three use cases in which the use of chatbots enables new research opportunities, namely personalised and empathic chatbots, psychometric instrument construction, and group-based assessments. We conclude with an overview of the opportunities and challenges that chatbots offer to researchers employing the Experience Sampling Method.

Source: VBN Forskningsportal (Aalborg Universitet)

Authors: Florian Bemmanna, Ramona Schoedela, Niels van Berkel, Daniel Buschek

Institutions: Ludwig-Maximilians-Universität München, Aalborg University, University of Bayreuth

Language: English

Topic: Digital Mental Health Interventions

Subfield: Applied Psychology

Field: Psychology

Domain: Social Sciences

Open Access status: green

OpenAlex ID: W3186814543

FWCI: 2.246

Cites: 19

Cited by: 4

Related to: 10