{"title":"Input Accessibility: A Large Dataset and Summary Analysis of Age, Motor Ability and Input Performance","authors":"Leah Findlater, Lotus Zhang","doi":"10.1145/3373625.3417031","DOIUrl":null,"url":null,"abstract":"Age and motor ability are well-known to impact input performance. Past work examining these factors, however, has tended to focus on samples of 20-40 participants and has binned participants into a small set of age groups (e.g., “younger” vs. “older”). To foster a more nuanced understanding of how age and motor ability impact input performance, this short paper contributes: (1) a dataset from a large-scale study that captures input performance with a mouse and/or touchscreen from over 700 participants, as well as (2) summary analysis of a subset of 318 participants who range in age from 18 to 83 years old and of whom 53% reported a motor impairment. The analysis demonstrates the continuous relationship between age and input performance for users with and without motor impairments, but also illustrates that knowing a user's age and self-reported motor ability should not lead to assumptions about their input performance. The dataset, which contains mouse and touchscreen input traces, should allow for further exploration by other researchers.","PeriodicalId":433618,"journal":{"name":"Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 22nd International ACM SIGACCESS Conference on Computers and Accessibility","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3373625.3417031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Age and motor ability are well-known to impact input performance. Past work examining these factors, however, has tended to focus on samples of 20-40 participants and has binned participants into a small set of age groups (e.g., “younger” vs. “older”). To foster a more nuanced understanding of how age and motor ability impact input performance, this short paper contributes: (1) a dataset from a large-scale study that captures input performance with a mouse and/or touchscreen from over 700 participants, as well as (2) summary analysis of a subset of 318 participants who range in age from 18 to 83 years old and of whom 53% reported a motor impairment. The analysis demonstrates the continuous relationship between age and input performance for users with and without motor impairments, but also illustrates that knowing a user's age and self-reported motor ability should not lead to assumptions about their input performance. The dataset, which contains mouse and touchscreen input traces, should allow for further exploration by other researchers.