Police Use of Force Escalation and De-escalation: The Use of Systematic Social Observation With Video Footage

AuthorWilliam Terrill,Laura Zimmerman
DOI10.1177/10986111211049145
Published date01 June 2022
Date01 June 2022
Subject MatterArticles
Article
Police Quarterly
2022, Vol. 25(2) 155177
© The Author(s) 2021
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DOI: 10.1177/10986111211049145
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Police Use of Force Escalation
and De-escalation: The Use of
Systematic Social
Observation With Video
Footage
William Terrill, PhD
1
, and Laura Zimmerman, PhD
2
Abstract
As police agencies continue to incorporate body-worn cameras, it becomes in-
creasingly important for researchers and practitioners to explore how to best use
these data to better understand patterns of suspect and police behavior. Thus, drawing
on a joint project between the Federal Law Enforcement Training Centers and Arizona
State University, we expand on prior research demonstrating how social systematic
observation (SSO) can be used with video footage to methodically detail the
evolving nature of police-suspect encounters. We then illustrate how the data
could be evaluated within the framework of escalation and de-escalation using an
expanded version of the Resistance ForceComparativeScale(RFCS)rst devel-
oped and employed in 2001. Finally, we assess the merits and challenges of using
video footage to account for suspect and police behaviors in relation to escalation
and de-escalation.
Keywords
police, use of force, systematic social observation, escalation, de-escalation dashcam,
body-worn cameras, videos
1
Arizona State University, School of Criminology & Criminal Justice, Phoenix, AZ, USA
2
Senior Researcher, Federal Law Enforcement Training Centers, Training & Innovation Operations Branch,
Glynco, GE, USA
Corresponding Author:
William Terrill, Associate Dean and Professor of Criminology and Criminal Justice, Arizona State
University, 411 N. Central Ave., Suite 750, Phoenix, AZ, 85004, USA.
Email: William.Terrill@asu.edu
Introduction
High-prole use of force incidents continue to raise public concern about ofcer
judgment and decision making when using force. Within this context, there is a pressing
need to better understand ofcersde-escalation techniques as an alternative to using
force, as well as what behaviors might escalate a situation. To do so properly, however,
one must consider the developmental nature of police-suspect encounters, as such
events involve an interactional process whereby suspects and ofcers may engage in
numerous forms of behavior (Bayley, 1986;Bayley & Garofalo, 1989;Fyfe, 1988,
1989;Sykes & Brent, 1980,1983;Terrill, 2003;Toch,1969 ). More specically, failure
to account for when varying types of resistance and force occur within an encounter,
and a host of potential predictors, provides neither a complete nor accurate picture of
how or why ofcers apply their coercive powers.
Historically, the most effective way to tap into the interplay of police-suspect
encounters has been to employ a Systematic Social Observation (SSO) methodology
during patrol ridealongs (Mastrofski et al., 1998). However, such an approach is labor
intensive and costly. For example, the Project on Policing Neighborhoods (POPN) cost
$1.9 million 25 years agoaccounting for ination the equivalent of $3.2 million in
2021. However, with the emergence of dashboard cameras initially, and more recently
ofcer body-worn cameras (BWCs), the opportunity to observe police-suspect en-
counters may not only be more cost efcient but offers the potential for an even more
accurate accounting of behaviors.
To date, there are only three studies that have sought to identify the benets and
challenges of using video data, and which offer analytical approaches to assess suspect
resistance and police use of force behavior (Makin et al., 2021;Sytsma et al., 2021;
Willits & Makin, 2018). While these studies provide valuable insight, they were limited
in scope in relation to consisting of a single agency with relatively few cases (less than
200 in total across the three studies). Thus, as part of a joint project between the Federal
Law Enforcement Training Centers (FLETC) and Arizona State University, we expand
on prior research and demonstrate how SSO can be used with video footage to me-
thodically detail the evolving nature of police-suspect encounters. We then illustrate
how the data could be evaluated within the framework of de-escalation and escalation
using an expanded version of the Resistance Force Comparative Scale (RFCS) rst
developed and employed 20 years ago. Finally, we draw on over 500 videos (both dash-
cam and body-worn) from two agencies to assess the merits and challenges of using
video footage to account for suspect and police behaviors in relation to escalation and
de-escalation.
Literature Review
We begin with a brief description of using video-based footage within the context of
social science research in general. We then hone in on prior research that has used police
dashboard videos and BWCs (the two data sources used for the present inquiry),
156 Police Quarterly 25(2)

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