diff --git a/R/cluster.R b/R/cluster.R
index 176d838..604d60a 100644
--- a/R/cluster.R
+++ b/R/cluster.R
@@ -10,7 +10,7 @@
 #' computed by \link{mt_distmat}.
 #' 
 #' Mouse trajectories often occur in distinct, qualitative types (see Wulff et
-#' al., 2019; Wulff et al., 2021). Common trajectory types are linear
+#' al., 2019; Wulff et al., 2022). Common trajectory types are linear
 #' trajectories, mildly and strongly curved trajctories, and single and multiple
 #' change-of-mind trials (see also \link{mt_map}). \code{mt_cluster} can tease
 #' these types apart.
@@ -32,7 +32,7 @@
 #' top-left corner of the coordinate system (\link{mt_remap_symmetric} or
 #' \link{mt_align} can be used to achieve this). Furthermore, it is recommended
 #' to use length normalized trajectories (see \link{mt_length_normalize}; Wulff
-#' et al., 2019).
+#' et al., 2019, Wulff et al., 2021).
 #'
 #' @inheritParams mt_time_normalize
 #' @param save_as a character string specifying where the resulting data should
@@ -86,10 +86,15 @@
 #' @references Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F.,
 #'   & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in
 #'   movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G.
-#'   Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145). New York, NY:
-#'   Routledge.
+#'   Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145).
+#'   New York, NY: Routledge.
+#'   
+#'   Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &
+#'   Schulte-Mecklenbeck, M. (2021). \emph{Movement tracking of cognitive
+#'   processes: A tutorial using mousetrap.} PsyArXiv.
+#'   \doi{10.31234/osf.io/v685r}
 #'    
-#'   Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2021).
+#'   Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2022).
 #'   \emph{Measuring the (dis-)continuous mind: What movement trajectories
 #'   reveal about cognition}. Manuscript in preparation.
 #'
diff --git a/R/data.R b/R/data.R
index 1598341..5640ceb 100644
--- a/R/data.R
+++ b/R/data.R
@@ -215,18 +215,23 @@
 #' trajectory, the discrete change-of-mind trajectory, and the double discrete
 #' change-of-mind trajectory.
 #' 
-#' Mouse- and hand-trajectories often occur in types (Wulff, Haslbeck, & 
-#' Schulte-Mecklenbeck, 2017). In such cases, movement trajectory data should be
-#' analyzed in terms of discrete type assignments. To this end \link{mt_map} can
-#' be used to map mouse- or hand-trajectory to the closest of several predefined
-#' prototypes. \code{mt_prototypes} provides a core set of prototypes that has 
-#' been shown to represent well a large fraction of empirical movement 
-#' trajectories.
+#' Mouse- and hand-trajectories often occur in types. In such cases, movement
+#' trajectory data should be analyzed in terms of discrete type assignments
+#' (Wulff et al., 2021). To this end \link{mt_map} can be used to map mouse- or
+#' hand-trajectory to the closest of several predefined prototypes.
+#' \code{mt_prototypes} provides a core set of prototypes that has been shown to
+#' represent well a large fraction of empirical movement trajectories (Wulff et
+#' al., 2022).
 #' 
 #' To tailor the set of prototypes to a given study, \code{mt_prototypes} can be
 #' extended using \link{mt_add_trajectory}.
 #' 
-#' @references Wulff, D. U., Haslbeck, J. M. B., Schulte-Mecklenbeck, M. (2018).
+#' @references  Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M.
+#'   B., & Schulte-Mecklenbeck, M. (2021). \emph{Movement tracking of cognitive
+#'   processes: A tutorial using mousetrap.} PsyArXiv.
+#'   \doi{10.31234/osf.io/v685r}
+#'   
+#'   Wulff, D. U., Haslbeck, J. M. B., Schulte-Mecklenbeck, M. (2022).
 #'   \emph{Measuring the (dis-)continuous mind: What movement trajectories
 #'   reveal about cognition}. Manuscript in preparation.
 #'   
diff --git a/R/map.R b/R/map.R
index 2dcc240..b3e1410 100644
--- a/R/map.R
+++ b/R/map.R
@@ -6,7 +6,7 @@
 #' prototype that produced the smallest distance.
 #' 
 #' Mouse trajectories often occur in distinct, qualitative types (see Wulff et
-#' al., 2019; Wulff et al., 2021). Common trajectory types are linear
+#' al., 2019; Wulff et al., 2022). Common trajectory types are linear
 #' trajectories, mildly and strongly curved trajectories, and single and
 #' multiple change-of-mind trials. \code{mt_map} allows to map trajectories to a
 #' predefined set of trajectory types.
@@ -22,7 +22,7 @@
 #' trajectories end in the top-left corner of the coordinate system
 #' (\link{mt_remap_symmetric} or \link{mt_align} can be used to achieve this).
 #' Furthermore, it is recommended to use length normalized trajectories (see
-#' \link{mt_length_normalize}; Wulff et al., 2019).
+#' \link{mt_length_normalize}; Wulff et al., 2019, Wulff et al., 2021).
 #' 
 #' @inheritParams mt_distmat
 #' @param prototypes a trajectory array containing the prototypes the 
@@ -51,10 +51,15 @@
 #' @references Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F.,
 #'   & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in
 #'   movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G.
-#'   Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145). New York, NY:
-#'   Routledge.
+#'   Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145).
+#'   New York, NY: Routledge.
 #'    
-#'   Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2021).
+#'   Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &
+#'   Schulte-Mecklenbeck, M. (2021). \emph{Movement tracking of cognitive
+#'   processes: A tutorial using mousetrap.} PsyArXiv.
+#'   \doi{10.31234/osf.io/v685r}
+#'   
+#'   Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2022).
 #'   \emph{Measuring the (dis-)continuous mind: What movement trajectories
 #'   reveal about cognition}. Manuscript in preparation.
 #'         
diff --git a/R/spatialize.R b/R/spatialize.R
index 62bf55a..0d0720b 100644
--- a/R/spatialize.R
+++ b/R/spatialize.R
@@ -35,6 +35,8 @@
 #' Dirk U. Wulff
 #'
 #' Jonas M. B. Haslbeck
+#' 
+#' Pascal J. Kieslich
 #'
 #' @export
 mt_length_normalize <- function(
diff --git a/docs/news/index.html b/docs/news/index.html
index 95c2f29..ca68017 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -51,7 +51,7 @@ <h1 data-toc-skip>Changelog <small></small></h1>
     </div>
 
     <div class="section level2">
-<h2 class="page-header" data-toc-text="3.2.1" id="mousetrap-321">mousetrap 3.2.1<a class="anchor" aria-label="anchor" href="#mousetrap-321"></a></h2>
+<h2 class="page-header" data-toc-text="3.2.1" id="mousetrap-321">mousetrap 3.2.1<small>2022-01-03</small><a class="anchor" aria-label="anchor" href="#mousetrap-321"></a></h2>
 <div class="section level3">
 <h3 id="announcements-3-2-1">Announcements<a class="anchor" aria-label="anchor" href="#announcements-3-2-1"></a></h3>
 <ul><li>A tutorial to movement tracking of cognitive processes with the <code>mousetrap</code> R package has been published as a preprint. Please cite it as follows when using <code>mousetrap</code> in your research: Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &amp; Schulte-Mecklenbeck, M. (2021). <em>Movement tracking of cognitive processes: A tutorial using mousetrap.</em> PsyArXiv. <a href="https://doi.org/10.31234/osf.io/v685r" class="external-link uri">https://doi.org/10.31234/osf.io/v685r</a>
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index a51106a..418bc30 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -2,5 +2,5 @@ pandoc: 2.14.0.3
 pkgdown: 2.0.1
 pkgdown_sha: ~
 articles: {}
-last_built: 2021-12-29T14:44Z
+last_built: 2022-01-03T16:43Z
 
diff --git a/docs/reference/mt_check_bimodality.html b/docs/reference/mt_check_bimodality.html
index 7d2be62..6444ccf 100644
--- a/docs/reference/mt_check_bimodality.html
+++ b/docs/reference/mt_check_bimodality.html
@@ -198,7 +198,7 @@ <h2>Examples</h2>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $HDS_simulated_p_value</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    z_MAD   z_AD</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.7885 0.7615</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.7965 0.7475</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"> </span>
 <span class="r-in"><span class="co"># Assess bimodality per condition</span></span>
diff --git a/docs/reference/mt_cluster.html b/docs/reference/mt_cluster.html
index b1daa16..57a0562 100644
--- a/docs/reference/mt_cluster.html
+++ b/docs/reference/mt_cluster.html
@@ -158,7 +158,7 @@ <h2>Details</h2>
 Cluster estimation using <a href="https://rdrr.io/pkg/fastcluster/man/hclust.html" class="external-link">hclust</a> relies on distances
 computed by <a href="mt_distmat.html">mt_distmat</a>.</p>
 <p>Mouse trajectories often occur in distinct, qualitative types (see Wulff et
-al., 2019; Wulff et al., 2021). Common trajectory types are linear
+al., 2019; Wulff et al., 2022). Common trajectory types are linear
 trajectories, mildly and strongly curved trajctories, and single and multiple
 change-of-mind trials (see also <a href="mt_map.html">mt_map</a>). <code>mt_cluster</code> can tease
 these types apart.</p>
@@ -177,16 +177,20 @@ <h2>Details</h2>
 top-left corner of the coordinate system (<a href="mt_remap_symmetric.html">mt_remap_symmetric</a> or
 <a href="mt_align.html">mt_align</a> can be used to achieve this). Furthermore, it is recommended
 to use length normalized trajectories (see <a href="mt_length_normalize.html">mt_length_normalize</a>; Wulff
-et al., 2019).</p>
+et al., 2019, Wulff et al., 2021).</p>
     </div>
     <div id="references">
     <h2>References</h2>
     <p>Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F.,
 &amp; Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in
 movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, &amp; J. G.
-Johnson (Eds.), <em>A Handbook of Process Tracing Methods</em> (pp. 131-145). New York, NY:
-Routledge.</p>
-<p>Wulff, D. U., Haslbeck, J. M. B., &amp; Schulte-Mecklenbeck, M. (2021).
+Johnson (Eds.), <em>A Handbook of Process Tracing Methods</em> (pp. 131-145).
+New York, NY: Routledge.</p>
+<p>Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &amp;
+Schulte-Mecklenbeck, M. (2021). <em>Movement tracking of cognitive
+processes: A tutorial using mousetrap.</em> PsyArXiv.
+doi: <a href="https://doi.org/10.31234/osf.io/v685r" class="external-link">10.31234/osf.io/v685r</a></p>
+<p>Wulff, D. U., Haslbeck, J. M. B., &amp; Schulte-Mecklenbeck, M. (2022).
 <em>Measuring the (dis-)continuous mind: What movement trajectories
 reveal about cognition</em>. Manuscript in preparation.</p>
     </div>
diff --git a/docs/reference/mt_length_normalize.html b/docs/reference/mt_length_normalize.html
index b57cbc4..68745b5 100644
--- a/docs/reference/mt_length_normalize.html
+++ b/docs/reference/mt_length_normalize.html
@@ -111,6 +111,7 @@ <h2>Details</h2>
     <h2>Author</h2>
     <p>Dirk U. Wulff</p>
 <p>Jonas M. B. Haslbeck</p>
+<p>Pascal J. Kieslich</p>
     </div>
 
     <div id="ref-examples">
diff --git a/docs/reference/mt_map.html b/docs/reference/mt_map.html
index 96a3d71..8128d15 100644
--- a/docs/reference/mt_map.html
+++ b/docs/reference/mt_map.html
@@ -147,7 +147,7 @@ <h2>Value</h2>
     <div id="details">
     <h2>Details</h2>
     <p>Mouse trajectories often occur in distinct, qualitative types (see Wulff et
-al., 2019; Wulff et al., 2021). Common trajectory types are linear
+al., 2019; Wulff et al., 2022). Common trajectory types are linear
 trajectories, mildly and strongly curved trajectories, and single and
 multiple change-of-mind trials. <code>mt_map</code> allows to map trajectories to a
 predefined set of trajectory types.</p>
@@ -161,16 +161,20 @@ <h2>Details</h2>
 trajectories end in the top-left corner of the coordinate system
 (<a href="mt_remap_symmetric.html">mt_remap_symmetric</a> or <a href="mt_align.html">mt_align</a> can be used to achieve this).
 Furthermore, it is recommended to use length normalized trajectories (see
-<a href="mt_length_normalize.html">mt_length_normalize</a>; Wulff et al., 2019).</p>
+<a href="mt_length_normalize.html">mt_length_normalize</a>; Wulff et al., 2019, Wulff et al., 2021).</p>
     </div>
     <div id="references">
     <h2>References</h2>
     <p>Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F.,
 &amp; Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in
 movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, &amp; J. G.
-Johnson (Eds.), <em>A Handbook of Process Tracing Methods</em> (pp. 131-145). New York, NY:
-Routledge.</p>
-<p>Wulff, D. U., Haslbeck, J. M. B., &amp; Schulte-Mecklenbeck, M. (2021).
+Johnson (Eds.), <em>A Handbook of Process Tracing Methods</em> (pp. 131-145).
+New York, NY: Routledge.</p>
+<p>Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &amp;
+Schulte-Mecklenbeck, M. (2021). <em>Movement tracking of cognitive
+processes: A tutorial using mousetrap.</em> PsyArXiv.
+doi: <a href="https://doi.org/10.31234/osf.io/v685r" class="external-link">10.31234/osf.io/v685r</a></p>
+<p>Wulff, D. U., Haslbeck, J. M. B., &amp; Schulte-Mecklenbeck, M. (2022).
 <em>Measuring the (dis-)continuous mind: What movement trajectories
 reveal about cognition</em>. Manuscript in preparation.</p>
     </div>
diff --git a/docs/reference/mt_prototypes.html b/docs/reference/mt_prototypes.html
index eb19809..c5ef207 100644
--- a/docs/reference/mt_prototypes.html
+++ b/docs/reference/mt_prototypes.html
@@ -71,19 +71,23 @@ <h2>Format</h2>
     </div>
     <div id="details">
     <h2>Details</h2>
-    <p>Mouse- and hand-trajectories often occur in types (Wulff, Haslbeck, &amp;
-Schulte-Mecklenbeck, 2017). In such cases, movement trajectory data should be
-analyzed in terms of discrete type assignments. To this end <a href="mt_map.html">mt_map</a> can
-be used to map mouse- or hand-trajectory to the closest of several predefined
-prototypes. <code>mt_prototypes</code> provides a core set of prototypes that has
-been shown to represent well a large fraction of empirical movement
-trajectories.</p>
+    <p>Mouse- and hand-trajectories often occur in types. In such cases, movement
+trajectory data should be analyzed in terms of discrete type assignments
+(Wulff et al., 2021). To this end <a href="mt_map.html">mt_map</a> can be used to map mouse- or
+hand-trajectory to the closest of several predefined prototypes.
+<code>mt_prototypes</code> provides a core set of prototypes that has been shown to
+represent well a large fraction of empirical movement trajectories (Wulff et
+al., 2022).</p>
 <p>To tailor the set of prototypes to a given study, <code>mt_prototypes</code> can be
 extended using <a href="mt_add_trajectory.html">mt_add_trajectory</a>.</p>
     </div>
     <div id="references">
     <h2>References</h2>
-    <p>Wulff, D. U., Haslbeck, J. M. B., Schulte-Mecklenbeck, M. (2018).
+    <p>Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M.
+B., &amp; Schulte-Mecklenbeck, M. (2021). <em>Movement tracking of cognitive
+processes: A tutorial using mousetrap.</em> PsyArXiv.
+doi: <a href="https://doi.org/10.31234/osf.io/v685r" class="external-link">10.31234/osf.io/v685r</a></p>
+<p>Wulff, D. U., Haslbeck, J. M. B., Schulte-Mecklenbeck, M. (2022).
 <em>Measuring the (dis-)continuous mind: What movement trajectories
 reveal about cognition</em>. Manuscript in preparation.</p>
     </div>
diff --git a/man/mt_cluster.Rd b/man/mt_cluster.Rd
index ebec0f1..2ea83e9 100644
--- a/man/mt_cluster.Rd
+++ b/man/mt_cluster.Rd
@@ -103,7 +103,7 @@ Cluster estimation using \link[fastcluster]{hclust} relies on distances
 computed by \link{mt_distmat}.
 
 Mouse trajectories often occur in distinct, qualitative types (see Wulff et
-al., 2019; Wulff et al., 2021). Common trajectory types are linear
+al., 2019; Wulff et al., 2022). Common trajectory types are linear
 trajectories, mildly and strongly curved trajctories, and single and multiple
 change-of-mind trials (see also \link{mt_map}). \code{mt_cluster} can tease
 these types apart.
@@ -125,7 +125,7 @@ trajectories share the same direction, e.g., that all trajectories end in the
 top-left corner of the coordinate system (\link{mt_remap_symmetric} or
 \link{mt_align} can be used to achieve this). Furthermore, it is recommended
 to use length normalized trajectories (see \link{mt_length_normalize}; Wulff
-et al., 2019).
+et al., 2019, Wulff et al., 2021).
 }
 \examples{
 # Length normalize trajectories
@@ -143,10 +143,15 @@ mt_plot(KH2017,use="ln_trajectories",
 Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F.,
 & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in
 movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G.
-Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145). New York, NY:
-Routledge.
+Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145).
+New York, NY: Routledge.
 
-Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2021).
+Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &
+Schulte-Mecklenbeck, M. (2021). \emph{Movement tracking of cognitive
+processes: A tutorial using mousetrap.} PsyArXiv.
+\doi{10.31234/osf.io/v685r}
+
+Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2022).
 \emph{Measuring the (dis-)continuous mind: What movement trajectories
 reveal about cognition}. Manuscript in preparation.
 }
diff --git a/man/mt_length_normalize.Rd b/man/mt_length_normalize.Rd
index 2c7323d..251a808 100644
--- a/man/mt_length_normalize.Rd
+++ b/man/mt_length_normalize.Rd
@@ -62,4 +62,6 @@ KH2017 <- mt_length_normalize(data=KH2017,
 Dirk U. Wulff
 
 Jonas M. B. Haslbeck
+
+Pascal J. Kieslich
 }
diff --git a/man/mt_map.Rd b/man/mt_map.Rd
index 039dc84..1bc14de 100644
--- a/man/mt_map.Rd
+++ b/man/mt_map.Rd
@@ -90,7 +90,7 @@ prototype that produced the smallest distance.
 }
 \details{
 Mouse trajectories often occur in distinct, qualitative types (see Wulff et
-al., 2019; Wulff et al., 2021). Common trajectory types are linear
+al., 2019; Wulff et al., 2022). Common trajectory types are linear
 trajectories, mildly and strongly curved trajectories, and single and
 multiple change-of-mind trials. \code{mt_map} allows to map trajectories to a
 predefined set of trajectory types.
@@ -106,7 +106,7 @@ trajectories (and added prototypes) share the same direction, i.e., that all
 trajectories end in the top-left corner of the coordinate system
 (\link{mt_remap_symmetric} or \link{mt_align} can be used to achieve this).
 Furthermore, it is recommended to use length normalized trajectories (see
-\link{mt_length_normalize}; Wulff et al., 2019).
+\link{mt_length_normalize}; Wulff et al., 2019, Wulff et al., 2021).
 }
 \examples{
 # Length normalize trajectories
@@ -154,10 +154,15 @@ KH2017 <- mt_map(KH2017,
 Wulff, D. U., Haslbeck, J. M. B., Kieslich, P. J., Henninger, F.,
 & Schulte-Mecklenbeck, M. (2019). Mouse-tracking: Detecting types in
 movement trajectories. In M. Schulte-Mecklenbeck, A. Kühberger, & J. G.
-Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145). New York, NY:
-Routledge.
+Johnson (Eds.), \emph{A Handbook of Process Tracing Methods} (pp. 131-145).
+New York, NY: Routledge.
 
-Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2021).
+Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M. B., &
+Schulte-Mecklenbeck, M. (2021). \emph{Movement tracking of cognitive
+processes: A tutorial using mousetrap.} PsyArXiv.
+\doi{10.31234/osf.io/v685r}
+
+Wulff, D. U., Haslbeck, J. M. B., & Schulte-Mecklenbeck, M. (2022).
 \emph{Measuring the (dis-)continuous mind: What movement trajectories
 reveal about cognition}. Manuscript in preparation.
 }
diff --git a/man/mt_prototypes.Rd b/man/mt_prototypes.Rd
index 77ce9ea..e71acaa 100644
--- a/man/mt_prototypes.Rd
+++ b/man/mt_prototypes.Rd
@@ -17,19 +17,24 @@ trajectory, the discrete change-of-mind trajectory, and the double discrete
 change-of-mind trajectory.
 }
 \details{
-Mouse- and hand-trajectories often occur in types (Wulff, Haslbeck, &
-Schulte-Mecklenbeck, 2017). In such cases, movement trajectory data should be
-analyzed in terms of discrete type assignments. To this end \link{mt_map} can
-be used to map mouse- or hand-trajectory to the closest of several predefined
-prototypes. \code{mt_prototypes} provides a core set of prototypes that has
-been shown to represent well a large fraction of empirical movement
-trajectories.
+Mouse- and hand-trajectories often occur in types. In such cases, movement
+trajectory data should be analyzed in terms of discrete type assignments
+(Wulff et al., 2021). To this end \link{mt_map} can be used to map mouse- or
+hand-trajectory to the closest of several predefined prototypes.
+\code{mt_prototypes} provides a core set of prototypes that has been shown to
+represent well a large fraction of empirical movement trajectories (Wulff et
+al., 2022).
 
 To tailor the set of prototypes to a given study, \code{mt_prototypes} can be
 extended using \link{mt_add_trajectory}.
 }
 \references{
-Wulff, D. U., Haslbeck, J. M. B., Schulte-Mecklenbeck, M. (2018).
+Wulff, D. U., Kieslich, P. J., Henninger, F., Haslbeck, J. M.
+B., & Schulte-Mecklenbeck, M. (2021). \emph{Movement tracking of cognitive
+processes: A tutorial using mousetrap.} PsyArXiv.
+\doi{10.31234/osf.io/v685r}
+
+Wulff, D. U., Haslbeck, J. M. B., Schulte-Mecklenbeck, M. (2022).
 \emph{Measuring the (dis-)continuous mind: What movement trajectories
 reveal about cognition}. Manuscript in preparation.
 }