Smartphone-derived Virtual Keyboard Dynamics Coupled with Accelerometer Data as a Window into Understanding Brain Health Smartphone Keyboard and Accelerometer as Window into Brain Health

被引:6
作者
Ning, Emma [1 ]
Cladek, Andrea [1 ]
Ross, Mindy K. [1 ]
Kabir, Sarah [1 ]
Barve, Amruta [1 ]
Kennelly, Ellyn [2 ]
Hussain, Faraz [1 ]
Dufecy, Jennifer [1 ]
Langenecker, Scott L. [3 ]
Nguyen, Theresa [1 ]
Tulabandhula, Theja [1 ]
Zulueta, John [1 ]
Ajilore, Olusola [1 ]
Demos, Alexander P. [1 ]
Leow, Alex [1 ]
机构
[1] Univ Illinois, Chicago, IL 60680 USA
[2] Wayne State Univ, Detroit, MI USA
[3] Univ Utah, Salt Lake City, UT USA
来源
PROCEEDINGS OF THE 2023 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2023 | 2023年
关键词
Health; -; Clinical; Mobile Devices: Phones/Tablets; Empirical Study that tells us about people; Quantitative Methods; COGNITIVE DEFICITS; KEYSTROKE-DYNAMICS; BIPOLAR DISORDER; DISEASE; SLEEP; TIME; MOOD;
D O I
10.1145/3544548.3580906
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We examine the feasibility of using accelerometer data exclusively collected during typing on a custom smartphone keyboard to study whether typing dynamics are associated with daily variations in mood and cognition. As part of an ongoing digital mental health study involving mood disorders, we collected data from a well-characterized clinical sample (N = 85) and classified accelerometer data per typing session into orientation (upright vs. not) and motion (active vs. not). The mood disorder group showed lower cognitive performance despite mild symptoms (depression/mania). There were also diurnal pattern differences with respect to cognitive performance: individuals with higher cognitive performance typed faster and were less sensitive to time of day. They also exhibited more well-defined diurnal patterns in smartphone keyboard usage: they engaged with the keyboard more during the day and tapered their usage more at night compared to those with lower cognitive performance, suggesting a healthier usage of their phone.
引用
收藏
页数:15
相关论文
共 55 条
  • [41] Sahami A., 2013, P 15 INT C HUMAN COM, P362
  • [42] A time to think: Circadian rhythms in human cognition
    Schmidt, Christina
    Collette, Fabienne
    Cajochen, Christian
    Peigneux, Philippe
    [J]. COGNITIVE NEUROPSYCHOLOGY, 2007, 24 (07) : 755 - 789
  • [43] Mobile Phone and Wearable Sensor-Based mHealth Approach for Psychiatric Disorders and Symptoms: Systematic Review and Link to the m-RESIST Project
    Seppala, Jussi
    De Vita, Ilaria
    Jamsa, Timo
    Miettunen, Jouko
    Isohanni, Matti
    Rubinstein, Katya
    Feldman, Yoram
    Grasa, Eva
    Corripio, Iluminada
    Berdun, Jesus
    D'Amico, Enrico
    Bulgheroni, Maria
    [J]. JMIR MENTAL HEALTH, 2019, 6 (02):
  • [44] Shiffman S., 2008, Ecological Momentary Assessment, P822, DOI DOI 10.1146/ANNUREV.CLINPSY.3.022806.091415
  • [45] On the Effectiveness of Sensor-enhanced Keystroke Dynamics Against Statistical Attacks
    Stanciu, Valeriu-Daniel
    Spolaor, Riccardo
    Conti, Mauro
    Giuffrida, Cristiano
    [J]. CODASPY'16: PROCEEDINGS OF THE SIXTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, 2016, : 105 - 112
  • [46] Let your fingers do the talking: Passive typing instability predicts future mood outcomes
    Stange, Jonathan P.
    Zulueta, John
    Langenecker, Scott A.
    Ryan, Kelly A.
    Piscitello, Andrea
    Duffecy, Jenna
    McInnis, Melvin G.
    Nelson, Pete
    Ajilore, Olusola
    Leow, Alex
    [J]. BIPOLAR DISORDERS, 2018, 20 (03) : 285 - 288
  • [47] A METHOD FOR MEASURING MECHANICAL WORK AND WORK EFFICIENCY DURING HUMAN ACTIVITIES
    SUN, M
    HILL, JO
    [J]. JOURNAL OF BIOMECHANICS, 1993, 26 (03) : 229 - 241
  • [48] Keystroke-Dynamics for Parkinson's Disease Signs Detection in an At-Home Uncontrolled Population: A New Benchmark and Method
    Tripathi, Shikha
    Arroyo-Gallego, Teresa
    Giancardo, Luca
    [J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2023, 70 (01) : 182 - 192
  • [49] Objective Characterization of Activity, Sleep, and Circadian Rhythm Patterns Using a Wrist-Worn Actigraphy Sensor: Insights Into Posttraumatic Stress Disorder
    Tsanas, Athanasios
    Woodward, Elizabeth
    Ehlers, Anke
    [J]. JMIR MHEALTH AND UHEALTH, 2020, 8 (04):
  • [50] Van Someren E. J.W., 1997, ACTIGRAPHIC MONITORI, P394