Preliminary validation study of the 3-min wrist-worn psychomotor vigilance test

被引:10
|
作者
Matsangas, Panagiotis [1 ]
Shattuck, Nita Lewis [1 ]
Brown, Stephanie [1 ]
机构
[1] Naval Postgrad Sch, Dept Operat Res, 1411 Cunningham Dr, Monterey, CA 93943 USA
关键词
Psychomotor vigilance task; Reaction time; Field data collection; SLEEP-DEPRIVATION; TEST PVT; PERFORMANCE; TASK; SENSITIVITY; OPERATIONS; ALERTNESS; RARE;
D O I
10.3758/s13428-016-0821-2
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
The 10-min psychomotor vigilance test (PVT) is a widely used tool to assess behavioral alertness. In operational environments, however, the 3-min version of the PVT is more practicable. Under controlled laboratory conditions, we compared performance on the 3-min PVT on a wrist-worn device with the 3-min PVT on a laptop computer. We conducted two repeated measures experiments (72 participants) to assess the effects of PVT device type (laptop or wrist-worn), backlight on the wrist-worn device (on or off), ambient light (low or normal levels), and interstimulus interval (ISI). First, we compared the wrist-worn PVT (ISI of 2-10 s) with the laptop-based PVT (ISI of 1-4 s). Participants performed six PVT trials counterbalanced for order of ambient light and device type. In both ambient-lighting conditions, the median differences in PVT metrics (reaction time, response speed, and percentage of 355-ms or 500-ms lapses combined with false starts) between the laptop and the wrist-worn PVT with the backlight on were less than 4.5 %. Specifically, the median difference in reaction times was less than 10 ms. However, the standard deviation in most metrics using the wrist-worn PVT was twice that of the laptop. In a second experiment, we compared the wrist-worn and laptop PVTs with the same ISIs (1-4 s) in normal light conditions. The results suggest that PVT data can be collected reliably in the field using the wrist-worn device with the backlight on and an ISI of 2-10 s.
引用
收藏
页码:1792 / 1801
页数:10
相关论文
共 50 条
  • [41] Predicting circadian misalignment with wearable technology: validation of wrist-worn actigraphy and photometry in night shift workers
    Cheng, Philip
    Walch, Olivia
    Huang, Yitong
    Mayer, Caleb
    Sagong, Chaewon
    Castelan, Andrea Cuamatzi
    Burgess, Helen J.
    Roth, Thomas
    Forger, Daniel B.
    Drake, Christopher L.
    SLEEP, 2021, 44 (02)
  • [42] A Usability User Study Concerning Free-Hand Microgesture and Wrist-Worn Sensors
    Way, David
    Paradiso, Joseph
    2014 11TH INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN), 2014, : 138 - 142
  • [43] Reliability of a combined 3-min constant load and performance cycling test
    Doherty, M
    Balmer, J
    Davison, RCR
    Robinson, L
    Smith, PM
    INTERNATIONAL JOURNAL OF SPORTS MEDICINE, 2003, 24 (05) : 366 - 371
  • [44] The Persian adaptation of Baddeley’s 3-min grammatical reasoning test
    Purya Baghaei
    Fahimeh Khoshdel-Niyat
    Mona Tabatabaee-Yazdi
    Psicologia: Reflexão e Crítica, 30
  • [45] MEASUREMENT OF TAPPING DURING THE INTERSTIMULUS INTERVAL AS A VALIDATION METRIC FOR THE 3-MINUTE PSYCHOMOTOR VIGILANCE TEST
    Deering, Sean
    Stepnowsky, Carl
    SLEEP, 2021, 44 : A41 - A42
  • [46] Validation of automatic wear-time detection algorithms in a free-living setting of wrist-worn and hip-worn ActiGraph GT3X+
    Knaier, Raphael
    Hoechsmann, Christoph
    Infanger, Denis
    Hinrichs, Timo
    Schmidt-Trucksaess, Arno
    BMC PUBLIC HEALTH, 2019, 19 (1)
  • [47] Prediction of the Levodopa Challenge Test in Parkinson's Disease Using Data from a Wrist-Worn Sensor
    Khodakarami, Hamid
    Ricciardi, Lucia
    Contarino, Maria Fiorella
    Pahwa, Rajesh
    Lyons, Kelly E.
    Geraedts, Victor J.
    Morgante, Francesca
    Leake, Alison
    Paviour, Dominic
    De Angelis, Andrea
    Horne, Malcolm
    SENSORS, 2019, 19 (23)
  • [48] Validation of automatic wear-time detection algorithms in a free-living setting of wrist-worn and hip-worn ActiGraph GT3X+
    Raphael Knaier
    Christoph Höchsmann
    Denis Infanger
    Timo Hinrichs
    Arno Schmidt-Trucksäss
    BMC Public Health, 19
  • [49] Cross-validation and out-of-sample testing of physical activity intensity predictions with a wrist-worn accelerometer
    Montoye, Alexander H. K.
    Westgate, Bradford S.
    Fonley, Morgan R.
    Pfeiffer, Karin A.
    JOURNAL OF APPLIED PHYSIOLOGY, 2018, 124 (05) : 1284 - 1293
  • [50] Lab-based validation of different data processing methods for wrist-worn ActiGraph accelerometers in young adults
    Ellingson, Laura D.
    Hibbing, Paul R.
    Kim, Youngwon
    Frey-Law, Laura A.
    Saint-Maurice, Pedro F.
    Welk, Gregory J.
    PHYSIOLOGICAL MEASUREMENT, 2017, 38 (06) : 1045 - 1060