1. Predictors of seniors' interest in assistive applications on smartphonesAndraž Petrovčič, Sebastiaan Peek, Vesna Dolničar, 2019, original scientific article Keywords: acceptance factors, assistive applications, C-TAILS model, population-based survey, seniors, smartphones Full text (file, 365,57 KB) This document has more files! More... |
2. A new methodology for mapping past rockfall eventsBarbara Žabota, Milan Kobal, 2020, original scientific article Keywords: natural hazards, rockfall, database, WebGIS, smartphones, crowdsourcing, modelling, mapping Full text (file, 9,97 MB) This document has more files! More... |
3. Concurrent validity and reliability of My Jump 2 app for measuring vertical jump height in recreationally active adultsŠpela Bogataj, Maja Pajek, Slobodan Andrašić, Nebojša Trajković, 2020, original scientific article Keywords: sport, measurement, healthy athletes, jump performance, smartphones, My Jump 2, reliability, validity Full text (file, 2,01 MB) This document has more files! More... |
4. Alternative layouts for grid questions in PC and mobile web surveysVasja Vehovar, Mick P. Couper, Gregor Čehovin, 2023, original scientific article Keywords: web surveys, response quality, mobile devices, smartphones, grid questions, item-by-item layout Full text (file, 791,52 KB) This document has more files! More... |
5. Exploiting the sensitivity of dual-frequency smartphones and GNSS geodetic receivers for jammer localizationPolona Pavlovčič Prešeren, Franc Dimc, Matej Bažec, 2023, original scientific article Keywords: geodesy, GNSS, jamming, smartphones, Xiaomi Mi8, Xiaomi 11T, Huawei P40, Samsung S20 Full text (file, 16,38 MB) This document has more files! More... |
|
7. Identifying a set of key paradata indicators in web surveys based on the relationship with response quality, respondent characteristics and survey estimatesVasja Vehovar, Jernej Berzelak, Gregor Čehovin, 2024, original scientific article Keywords: web surveys, paradata, smartphones, response quality, data quality, survey estimates, respondent characteristics, big five Full text (file, 526,62 KB) This document has more files! More... |