Proceedings ArticleDOI
Evaluating and Informing the Design of Chatbots
Mohit Jain,Pratyush Kumar,Ramachandra Kota,Shwetak N. Patel +3 more
- pp 895-906
TLDR
A study with 16 first-time chatbot users interacting with eight chatbots over multiple sessions on the Facebook Messenger platform revealed that users preferred chatbots that provided either a 'human-like' natural language conversation ability, or an engaging experience that exploited the benefits of the familiar turn-based messaging interface.Abstract:
Text messaging-based conversational agents (CAs), popularly called chatbots, received significant attention in the last two years. However, chatbots are still in their nascent stage: They have a low penetration rate as 84% of the Internet users have not used a chatbot yet. Hence, understanding the usage patterns of first-time users can potentially inform and guide the design of future chatbots. In this paper, we report the findings of a study with 16 first-time chatbot users interacting with eight chatbots over multiple sessions on the Facebook Messenger platform. Analysis of chat logs and user interviews revealed that users preferred chatbots that provided either a 'human-like' natural language conversation ability, or an engaging experience that exploited the benefits of the familiar turn-based messaging interface. We conclude with implications to evolve the design of chatbots, such as: clarify chatbot capabilities, sustain conversation context, handle dialog failures, and end conversations gracefully.read more
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Journal ArticleDOI
Design and Evaluation Challenges of Conversational Agents in Health Care and Well-being: Selective Review Study
Ahmet Baki Kocaballi,Emre Sezgin,Leigh Clark,John M. Carroll,Yungui Yang Yafei Li Ting Guo Yunqing Huang,Jina Huh-Yoo,Junhan Kim,R.D. Kocielnik,Yi-Chieh Lee,Lena Mamykina,Elliot G. Mitchell,R. Joel Moore,Prasanth Murali,Elizabeth D. Mynatt,Sun-Young Park,Alessandro Pasta,Deborah Richards,Lucas M. Silva,Diva Smriti,Brendan Spillane,Zhan Zhang,Tamara Zubatiy +21 more
TL;DR: In this paper, a review study was conducted with 17 invited studies, most of which were presented at the ACM (Association for Computing Machinery) CHI 2020 conference workshop on CAs for health and well-being.
Journal ArticleDOI
Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis.
TL;DR: In this article , a systematic search of seven databases provided 4534 records, and after screening, 31 articles were included in this review and a narrative synthesis of results was conducted for effectiveness and acceptability outcomes, with the former supplemented by a meta-analysis conducted on a subset of studies.
Proceedings ArticleDOI
Time to Get Conversational: Assessment of the Potential of Conversational User Interfaces for Mobile Banking
Vanessa Fahn,Andreas Riener +1 more
TL;DR: In this article, the authors have implemented three prototypes for conversational banking and evaluated them in a user study with n=18 subjects concerning the factors mentioned above, finding no significant differences between the prototypes.
Journal ArticleDOI
Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
TL;DR: This article explored the design factors of prompts to help steer chatbots to talk naturally and collect data reliably and formulated four prompt designs with different structures and personas, and assessed how prompt designs and conversation topics affected the conversation flows and users' perceptions of chatbots.
References
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