Crowdsourcing for reminiscence chatbot design

Svetlana Nikitina, Florian Daniel, Marcos Baez, Fabio Casati, Georgy Kopanitsa

Research output: Contribution to journalConference article

Abstract

In this work-in-progress paper we discuss the challenges in identifying effective and scalable crowd-based strategies for designing content, conversation logic, and meaningful metrics for a reminiscence chatbot targeted at older adults. We formalize the problem and outline the main research questions that drive the research agenda in chatbot design for reminiscence and for relational agents for older adults in general.

Original languageEnglish
JournalCEUR Workshop Proceedings
Volume2173
Publication statusPublished - 2018
Event2018 HCOMP Works in Progress and Demonstration Papers, HCOMP WIP and DEMO 2018 - Zurich, Switzerland
Duration: 5 Jul 20188 Jul 2018

ASJC Scopus subject areas

  • Computer Science(all)

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