Cited by 4Technology Use by Older AdultsSocial Robot Interaction and HRIInnovative Human-Technology Interaction

Designing Conversational Assistants to Support Older Adults’ Personal Health Record Access

Open access
Karimi, Pegah, Ballard, Kallista, Vazirani, Pooja, Jorigay, Ravi Teja Narasimha, Martin-Hammond, Aqueasha·2022·Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Crossref · 10.1007/978-3-030-99194-4_17

Cites

49 of 49 references verified0 citation errors · 0 not checkable

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Authors
Karimi, P., Ballard, K., Vazirani, P., Jorigay, R. T. N., & Martin-Hammond, A.
Affiliations
Indiana University – Purdue University Indianapolis (US)
Corresponding author
Karimi, Pegah
Venue
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Published
2022
Pages
253-271
ISSN
  • 1867-8211 (ISSN-L)
  • 1867-822X
OpenAlex
W4220939933
Cited by
3
References
49
Citations by year
2026: 1 · 2025: 1 · 2023: 1
FWCI
1.73
Type
conference paper
Language
en
Open access
Locations
  • Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (publishedVersion)
  • IUScholarWorks (Indiana University) (submittedVersion)
Funders
National Science Foundation (2130583)
Topics
  • Social Sciences › Demography › Technology Use by Older Adults
  • Social Sciences › Psychology › Social Psychology › Social Robot Interaction and HRI
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
chatbots, older adults, personal health records, health information access, health information portal, user perception, health engagement, Wizard-of-Oz study, design implications

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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.

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