[HTML][HTML] Design and evaluation challenges of conversational agents in health care and well-being: selective review study

AB Kocaballi, E Sezgin, L Clark, JM Carroll… - Journal of medical …, 2022 - jmir.org
Background Health care and well-being are 2 main interconnected application areas of
conversational agents (CAs). There is a significant increase in research, development, and …

[PDF][PDF] Conversational modelling for chatbots: current approaches and future directions

M McTear - Studientexte zur …, 2018 - spokenlanguagetechnology.com
Chatbots have emerged as a new way to interact with services on the web and with smart
devices, providing conversational interfaces that are ostensibly more intuitive and more …

Usability testing of a healthcare chatbot: Can we use conventional methods to assess conversational user interfaces?

S Holmes, A Moorhead, R Bond, H Zheng… - Proceedings of the 31st …, 2019 - dl.acm.org
Chatbots are becoming increasingly popular as a human-computer interface. The traditional
best practices normally applied to User Experience (UX) design cannot easily be applied to …

[PDF][PDF] Faster is not always better: understanding the effect of dynamic response delays in human-chatbot interaction

U Gnewuch, S Morana, M Adam, A Maedche - 2018 - scholar.archive.org
A key challenge in designing conversational user interfaces is to make the conversation
between the user and the system feel natural and human-like. In order to increase perceived …

Sketching nlp: A case study of exploring the right things to design with language intelligence

Q Yang, J Cranshaw, S Amershi, ST Iqbal… - Proceedings of the 2019 …, 2019 - dl.acm.org
This paper investigates how to sketch NLP-powered user experiences. Sketching is a
cornerstone of design innovation. When sketching, designers rapidly experiment with a …

Improving worker engagement through conversational microtask crowdsourcing

S Qiu, U Gadiraju, A Bozzon - Proceedings of the 2020 CHI Conference …, 2020 - dl.acm.org
The rise in popularity of conversational agents has enabled humans to interact with
machines more naturally. Recent work has shown that crowd workers in microtask …

Great chain of agents: The role of metaphorical representation of agents in conversational crowdsourcing

JY Jung, S Qiu, A Bozzon, U Gadiraju - … of the 2022 CHI Conference on …, 2022 - dl.acm.org
Conversational agents are being widely adopted across several domains to serve a variety
of purposes ranging from providing intelligent assistance to companionship. Recent …

Addressing ux practitioners' challenges in designing ml applications: an interactive machine learning approach

KJK Feng, DW Mcdonald - … of the 28th International Conference on …, 2023 - dl.acm.org
UX practitioners face novel challenges when designing user interfaces for machine learning
(ML)-enabled applications. Interactive ML paradigms, like AutoML and interactive machine …

Best practices for designing chatbots in mental healthcare–A case study on iHelpr

G Cameron, D Cameron, G Megaw… - … HCI Conference 2018, 2018 - pure.ulster.ac.uk
This paper outlines the design and development of a chatbot called iHelpr for mental
healthcare that 1) administers self-assessment instruments/scales, 2) provides wellbeing …

[PDF][PDF] Chatbot-based Tourist Recommendations Using Model-based Reasoning.

I Nica, OA Tazl, F Wotawa - ConfWS, 2018 - novuscpq.com
Chatbots have gained increasing importance for research and practice with a lot of
applications available today including Amazon's Alexa or Apple's Siri. In this paper, we …