activity
20162026
most citedChatbots as conversational healthcare services

129 citations · 242 across the 18 of their papers we have counts for

collaborators
Showing 2018Show all

7 papers · 1 filter

cs.CY2018

Design Challenges for Reconnecting in Later Life: A Qualitative Study

Francisco Ibarra, Grzegorz Kowalik, Marcos Baez +4

Friendships and social interactions are renown contributors to wellbeing. As such, keeping a healthy amount of relationships becomes very important as people age and the size of th…

cs.CY2018

Designing for Co-located and Virtual Social Interactions in Residential Care

Francisco Ibarra, Marcos Baez, Francesca Fiore +1

In this paper we explore the feasibility and design challenges in supporting co-located and virtual social interactions in residential care by building on the practice of reminisce…

cs.HC2018

CrowdRev: A platform for Crowd-based Screening of Literature Reviews

Jorge Ramirez, Evgeny Krivosheev, Marcos Baez +2

In this paper and demo we present a crowd and crowd+AI based system, called CrowdRev, supporting the screening phase of literature reviews and achieving the same quality as author…

cs.HC2018

Crowdsourcing for Reminiscence Chatbot Design

Svetlana Nikitina, Florian Daniel, Marcos Baez +1

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 metr…

cs.HC2018

Crowd-based Multi-Predicate Screening of Papers in Literature Reviews

Evgeny Krivosheev, Fabio Casati, Boualem Benatallah

Systematic literature reviews (SLRs) are one of the most common and useful form of scientific research and publication. Tens of thousands of SLRs are published each year, and this…

cs.HC2018

Crowd-Machine Collaboration for Item Screening

Evgeny Krivosheev, Bahareh Harandizadeh, Fabio Casati +1

In this paper we describe how crowd and machine classifier can be efficiently combined to screen items that satisfy a set of predicates. We show that this is a recurring problem in…