Evidence map›Paper›PMID 35954608›Full record

ArticleInternational journal of environmental research and public health2022

The Impact of Interface Design Element Features on Task Performance in Older Adults: Evidence from Eye-Tracking and EEG Signals.

Chengmin Zhou, Fangfang Yuan, Ting Huang, Yurong Zhang, Jake Kaner

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
22.2field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 50 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Chengmin ZhouCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0002-4988-5896
Fangfang YuanCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.
Ting HuangCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.ORCID 0000-0001-9771-8147
Yurong ZhangCollege of Furnishings and Industrial Design, Nanjing Forestry University, Nanjing 210037, China.
Jake KanerNottingham School of Art and Design, Nottingham Trent University, Nottingham NG1 4FQ, UK.ORCID 0000-0002-7946-7433
Nanjing Forestry University · CNNottingham Trent University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is crucial that the interface design of mobile apps be age-appropriate at this stage of global aging, as the new epidemic has resulted in a higher sense of isolation among older persons. In this study, four typical senior social service mobile applications were chosen to give older persons the ability to complete user login duties. The participants were 16 older adults (7 men and 9 women) aged 55 to 76. Both objective and subjective data, including task completion time, gaze length, pupil diameter changes, EEG wave amplitude changes, and subjective sensations of older persons, were gathered using a combination of eye-movement and EEG signal approaches. The program was created to investigate the effects of interface design aspects on older people's task performance, including interface layout, interface color, information density, icon size and position, etc. The study's findings revealed that when the user task completion time and average fixation duration were shorter, the line of sight was more equally distributed, the visual focus was closer to the login button, and the average EEG amplitude of the user changed more, the older adults performed better. The palace layout had a more positive effect on job completion among older individuals when it came to interface layout. In terms of interface color, colored (contrasting) colors should serve to highlight the interface's essential information points while they can be removed. In terms of interface information density, a low-density level interface design can simplify and lower the cognitive load of task execution for older people. The first level of icons in the interface and their position in the visual center of the interface is the best interface design for older persons in terms of icon size and position. The results of this study have theoretical ramifications for a thorough understanding of the factors influencing older people's task performance, practical ramifications for the design of older people-centered interfaces, and they contribute to our understanding of the characteristics of older people's interface interaction behavior.

Indexed as

Eye-Tracking TechnologyTask Performance and AnalysisAgedAged, 80 and overEye MovementsFemaleHumansMaleUser-Computer Interfacedesign element featuresEEG signalseye trackinginterface designolder personsuser experience

Identifiers

PMID35954608
PMCPMC9367723
OpenAlexW4288439351

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.