Evidence map›Paper›PMID 39086515›Full record

ArticleASSETS. Annual ACM Conference on Assistive Technologies2023

Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older Adults.

Chen Chen, Ella T Lifset, Yichen Han, Arkajyoti Roy, Michael Hogarth, Alison A Moore, Emilia Farcas, Nadir Weibel

Abstract read
In one paragraph

Article in ASSETS. Annual ACM Conference on Assistive Technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Ask Less, Learn More: Adapting Ecological Momentary Assessment Survey Length by Modeling Question-Answer Information Gain.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  4. Collecting Self-reported Physical Activity and Posture Data Using Audio-based Ecological Momentary Assessment.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2024
    Article
  5. Public opinion on types of voice systems for older adults.Journal of rehabilitation and assistive technologies engineering
    Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chen ChenComputer Science and Engineering, University of California San Diego, La Jolla, CA, United States.
Ella T LifsetBiological Sciences, University of California San Diego, La Jolla, CA, United States.
Yichen HanElectrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA, United States.
Arkajyoti RoyDepartment of Mathematics, University of California San Diego, La Jolla, CA, United States.
Michael HogarthSchool of Medicine, University of California San Diego, La Jolla, CA, United States.
Alison A MooreSchool of Medicine, University of California San Diego, La Jolla, CA, United States.
Emilia FarcasQualcomm Institute, University of California San Diego, La Jolla, CA, United States.
Nadir WeibelComputer Science and Engineering, University of California San Diego, La Jolla, CA, United States.

Funding

SCH: INT: VOLI: Voice Assistant for Quality of Life and Healthcare Improvement in Aging Populations R56AG067393 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FARCAS, EMILIA · 2019 to 2020
$599k
NIA NIH HHS R56 AG067393
6 · The paper itself

Abstract

While voice user interfaces offer increased accessibility due to hands-free and eyes-free interactions, older adults often have challenges such as constructing structured requests and perceiving how such devices operate. Voice-first user interfaces have the potential to address these challenges by enabling multimodal interactions. Standalone voice + touchscreen Voice Assistants (VAs), such as Echo Show, are specific types of devices that adopt such interfaces and are gaining popularity. However, the affordances of the additional touchscreen for older adults are unknown. Through a 40-day real-world deployment with older adults living independently, we present a within-subjects study (N = 16; age

Indexed as

Older AdultsReal-World Deployment StudyVoice Assistants (VAs)

Identifiers

PMID39086515
PMCPMC11290471

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.