• A Dynamic Method, Analysis, and Model of Short-Term Memory for Serial Order with Clinical Applications 

      Cheng, Sophia; Cohen, Alex S.; Holmlund, Terje Bektesevic; Foltz, Peter W.; Cheng, Jian; Bernstein, Jared; Rosenfeld, Elizabeth; Elvevåg, Brita (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-10-06)
      This study examined the robustness of a traditional memory task when moved out of controlled traditional settings. A letter recall task was designed to be self-administered via a smart-device which assessed recall by participants’ writing their responses on the device. This enabled collection of both the letter recalled and the timing of this recall such that the temporal dynamics could be examined. ...
    • Moving psychological assessment out of the controlled laboratory setting: Practical challenges 

      Holmlund, Terje Bektesevic; Foltz, Peter W.; Cohen, Alex S.; Johansen, Håvard D.; Sigurdsen, Randi; Fugeli, Pål; Bergsager, Dagfinn; Cheng, Jian; Bernstein, Jared; Rosenfeld, Elizabeth; Elvevåg, Brita (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-03)
      Behavioral assessment using smart devices affords novel methods, notably remote self-administration by the individuals themselves. However, this new approach requires navigating complex legal and technical terrain. Given the limited empirical data that currently exists, we provide and discuss anecdotes of the methodological, technical, legal, and cultural issues associated with an implementation in ...
    • Psychiatric Risk Assessment from the Clinician´s Perspective: Lessons for the Future 

      Cohen, Alex S.; Fedechko, Taylor L.; Schwartz, Elana K.; Le, Thanh P.; Foltz, Peter W.; Bernstein, Jared; Cheng, Jian; Rosenfeld, Elizabeth; Elvevåg, Brita (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-06-01)
      Accurate prediction of risk-states in Serious Mental Illnesses (SMIs) is critical for reducing their massive societal burden. Risk-state assessments are notably inaccurate. Recent innovations, including widely available and inexpensive mobile technologies for ambulatory “biobehavioral” data, can reshape risk assessment. To help understand and accelerate clinician involvement, we surveyed 90 ...