Both groups rated the three demonstrated apps as moderately to highly easy to use and satisfactory

Description #

In the post-demonstration appraisal survey, both older CALD participants and healthcare staff rated the three apps (TalkToMe, CALD Assist, Google Translate) as moderately to highly easy to use and satisfactory (Table 4). Older CALD participants rated all three similarly, with median ease of use of 4.5-5.0 (0-10 scale); healthcare staff rated ease of use higher (median 7.5-9.0), with similar overall satisfaction (median 3.0-4.0 on a 0-5 scale).

"On a Likert scale from 0-10, median ease of use ranged from 4.5-5.0, with TalkToMe and Google Translate™ both receiving the highest ratings." (Panayiotou, 2020, p. 3522)

"Healthcare staff reported higher perceived ease of use and similar levels of overall satisfaction. Median ease of use ranged from 7.5-9.0, and median overall satisfaction ranged from 3.0-4.0, with CALD Assist receiving the highest ratings on both of these (Table 4)." (Panayiotou, 2020, p. 3523)

Methods Context #

What? #ⓘ

The observable: self-rated ease of use and overall satisfaction with each of three demonstrated translation apps.

"The translation apps were appraised using rating scales regarding the ease of use (0 = not at all easy to use, 10 very easy to use) and for satisfaction, on a scale of 0-5 (0 = not satisfied at all, 5 = very highly satisfied)." (Panayiotou, 2020, p. 3519)

How? #ⓘ

Descriptive-statistics analysis of a survey completed after ~5-10 minutes of hands-on interaction with each of three iPad apps (A-0018ArtifactA-0018Initial AI draftCALD Assist translation appA mobile healthcare translation app used by ward staff to communicate low-risk, everyday care messages to older CALD patients with limited English proficiency when a professional interpreter is not available or feasible.…, A-0017ArtifactA-0017Initial AI draftTalk To Me translation appA mobile healthcare translation app used by ward staff to convey low-risk everyday care messages to older CALD patients with limited English proficiency in the absence of a professional interpreter. "Talk To Me was devel…, A-0016ArtifactA-0016Initial AI draftGoogle TranslateA free, general-purpose machine translation app increasingly used as an ad-hoc communication tool in healthcare settings to bridge language barriers with LEP patients, including via voice-to-voice translation. "One such…); rating scales based on the System Usability Scale.

"These translation apps were demonstrated by the research team, and participants spent approximately 5–10 min interacting with and appraising each app on iPads provided by the research team." (Panayiotou, 2020, p. 3519)

Who? #ⓘ

Older Greek and Chinese CALD community members (n = 12) and nursing/allied health staff (n = 17) in metropolitan Melbourne, Australia.

"Participants from the CALD community groups rated the three apps similarly in terms of their perceived ease of use and overall satisfaction." (Panayiotou, 2020, p. 3522)

Other Notes #

Quantitative appraisal finding. The finding lives in Table 4 (Appraisal of translation apps); no extracted table asset is available in the vault, so grounded by page-located verbatim text.

Caveats #

• Appraisal survey was exploratory and its validity was not assessed The app ease-of-use and satisfaction ratings come from a survey the authors describe as exploratory: although based on the System Usability Scale, the items were simplified for readability and the instrument's validity was not assessed. The median ratings should therefore be read as indicative appraisal signals from a brief hands-on demonstration, not validated usability measurements.