Chatbots for Experience Sampling-Initial Opportunities and Challenges

Florian Bemmanna, Ramona Schoedela, Niels Van Berkel, Daniel Buschek

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskriftForskningpeer review

92 Downloads (Pure)

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.
OriginalsprogEngelsk
TidsskriftCEUR Workshop Proceedings
Vol/bind2903
Antal sider9
ISSN1613-0073
StatusUdgivet - 2021
Begivenhed2021 Joint ACM Conference on Intelligent User Interfaces Workshops, ACMIUI-WS 2021 - College Station, USA
Varighed: 13 apr. 202117 apr. 2021

Konference

Konference2021 Joint ACM Conference on Intelligent User Interfaces Workshops, ACMIUI-WS 2021
Land/OmrådeUSA
ByCollege Station
Periode13/04/202117/04/2021

Bibliografisk note

Publisher Copyright:
© 2021 Copyright c 2021 for this paper by its authors.

Fingeraftryk

Dyk ned i forskningsemnerne om 'Chatbots for Experience Sampling-Initial Opportunities and Challenges'. Sammen danner de et unikt fingeraftryk.

Citationsformater