Cited by 28AI in Service InteractionsSocial Robot Interaction and HRIInnovative Human-Technology Interaction

Chasing the Chatbots: Directions for Interaction and Design Research

Piccolo, Lara S. G., Mensio, Martino, Alani, Harith·2019·Lecture Notes in Computer Science

Integrity signals

Registry

Crossref · 10.1007/978-3-030-17705-8_14

Cites

26 of 26 references verified0 citation errors · 0 not checkable

Statistics

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Claims the paper makes

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Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Chatbots have emerged as a substantial research area in recent years, with a marked increase of interest in chatbot research within academia and industry from 2016 onwards.

    “In response, chatbots have emerged as a substantial research area in recent years.”

Cites

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1 of the 27 references couldn’t be matched to a known paper.

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Authors
Piccolo, L. S. G., Mensio, M., & Alani, H.
Affiliations
The Open University (GB)
Corresponding author
Piccolo, Lara S. G.
Venue
Lecture Notes in Computer Science
Published
2019
Pages
157-169
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2901818665
Cited by
28
References
27
Citations by year
2025: 2 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 11 · 2020: 5 · 2019: 5
FWCI
2.06
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • Open Research Online - ORO (The Open University) (acceptedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
chatbots, user-centered design, user perception, user expectations, context of use, chatbot interaction, Big Tech, research gaps, technology diffusion

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

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