Study, Build, Repeat: Using Online Communities as a Research Platform

Terveen, Loren; Konstan, Joseph A.; Lampe, Cliff

doi:10.1007/978-1-4939-0378-8_5

Cited by 3 publications

(2 citation statements)

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“…For example, to ensure the users having the most naturalistic behavior while interacting with the intervention, they should not know they are part of an experiment, when such disguise is not harmful to the users. We follow the field experiment research method described in the textbook by Terveen et al [102] to "maximize realism of the context, while still affording some experimental control".…”

Section: Methodsmentioning

confidence: 99%

“…AND GENERALIZABLE ARCHITECTURE Based on the literature [37,97,102] and the knowledge gained from Study 1, we learned that one major challenge faced by online health communities is that many posts can not get a timely response (e.g., more than 18% never got a response); for the posts that have responses, it often takes more than 10 minutes to get the first response. In the YouBaoBao context, this challenge is particularly frustrating considering the pregnant women are already at high stress level.…”

Section: Study 2: Building a Neural-network Based Chatbot With A Scal...mentioning

confidence: 99%

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CASS: Towards Building a Social-Support Chatbot for Online Health Community

Wang,

Tian

et al. 2021

Preprint

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Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many of the systems use a rule-based dialog flow, thus they can only respond to a limited number of pre-defined inputs with pre-scripted responses; or 2) they are designed with a focus on single-user scenarios, thus it is unclear how these systems may affect other users or the community. In this paper, we develop a generalizable chatbot architecture (CASS) to provide social support for community members in an online health community. The CASS architecture is based on advanced neural network algorithms, thus it can handle new inputs from users and generate a variety of responses to them. CASS is also generalizable as it can be easily migrate to other online communities. With a follow-up field experiment, CASS is proven useful in supporting individual members who seek emotional support. Our work also contributes to fill the research gap on how a chatbot may influence the whole community's engagement.CCS Concepts: • Human-centered computing → Computer supported cooperative work.

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Section: Methodsmentioning

confidence: 99%

Section: Study 2: Building a Neural-network Based Chatbot With A Scal...mentioning

confidence: 99%