diff --git a/dpctl/tensor/_ctors.py b/dpctl/tensor/_ctors.py
index d0f459d1c5..5126f40837 100644
--- a/dpctl/tensor/_ctors.py
+++ b/dpctl/tensor/_ctors.py
@@ -32,6 +32,8 @@ def _array_info_dispatch(obj):
         return obj.shape, obj.dtype, _host_set
     elif isinstance(obj, range):
         return (len(obj),), int, _host_set
+    elif isinstance(obj, bool):
+        return _empty_tuple, bool, _host_set
     elif isinstance(obj, float):
         return _empty_tuple, float, _host_set
     elif isinstance(obj, int):
@@ -63,6 +65,9 @@ def _array_info_sequence(li):
             raise ValueError(
                 "Inconsistent dimensions, {} and {}".format(dim, el_dim)
             )
+    if dim is None:
+        dim = tuple()
+        device = _host_set
     return (n,) + dim, dt, device
 
 
diff --git a/dpctl/tests/test_tensor_asarray.py b/dpctl/tests/test_tensor_asarray.py
index c7734b8194..8c61fc9f13 100644
--- a/dpctl/tests/test_tensor_asarray.py
+++ b/dpctl/tests/test_tensor_asarray.py
@@ -80,6 +80,17 @@ def test_asarray_from_sequence():
     Y = dpt.asarray(X, usm_type="device")
     assert type(Y) is dpt.usm_ndarray
     assert Y.ndim == 2
+    assert Y.shape == (len(X), 2)
+
+    X = []
+    Y = dpt.asarray(X, usm_type="device")
+    assert type(Y) is dpt.usm_ndarray
+    assert Y.shape == (0,)
+
+    X = [True, False]
+    Y = dpt.asarray(X, usm_type="device")
+    assert type(Y) is dpt.usm_ndarray
+    assert Y.dtype.kind == "b"
 
 
 def test_asarray_from_object_with_suai():