captured and the recordings are automatically post-
processed and published on the Web (Abowd 1999,
Brusilovsky 2000). Initially originating from
educational institutions, this approach is gaining
increasing popularity in the industries as well. Users
access and use these documents, for example, to
review content, to look up specific information, or
even as a substitute of the corresponding live event
(Brotherton and Abowd 2004, Lauer et al. 2004).
One important issue for lecture Web casting is the
final delivery of the documents, i.e. the question
whether the respective data is sent to the viewers
online via streaming-servers or if it has to be
downloaded as a whole to the user’s local machine.
When comparing local replay vs. streaming, no
absolute answer can be given as to which approach
is generally preferable. For example, when asked
about the importance of streaming vs. local
availability (after downloading), the participating
students of the study in Lauer et al. (2004) rated
local availability much higher on a scale from 1 to 5
(Mean = 1.31, SD = 0.50) than streaming (Mean =
3.48, SD = 1.14). These subjective ratings were
backed up by the server statistics: In all cases where
both documents for local download and identical
versions of the lecture in some streaming format
were available, the overwhelming majority accessed
(i.e. downloaded) the former one. However, the
situation is different for corporate learners, who
often do not have authorization for large downloads
at all at their workstations. Since those computers
are usually connected permanently to the corporate
intranet, streaming is considered a better way of
delivering the contents. This is especially true for
companies with preconfigured client configurations,
where the widespread “de-facto standards” (such as
RealMedia (2006) or Windows Media (2006)) are
often the only accepted formats, because no
additional installation of software (such as a
proprietary multimedia player) is permitted.
In addition, there are general arguments in favor of
streaming, not only in corporations but also for the
distribution of online lectures at universities. For the
learners, having to download large files (a 45-minute
lecture including video may well amount to 500 MB
or more) results in enormous preload times and may
quickly fill up the local hard drives. Moreover,
streaming servers provide solutions to handle large
numbers of concurrent users and to adjust to
changing bandwidth conditions. In addition,
streaming technologies offer a certain degree of
content protection. Since the streamed data are not
stored permanently on the end user’s system, the
danger of unauthorized copies and their distribution
is reduced.
On the other hand, local download and replay of the
files has some significant advantages over streaming
approaches. One of the reasons why students often
prefer the former over the latter one is the pure
desire to possess the files. Students often do not
have a permanent high speed connection to the
internet. Therefore, a long but one-time download is
often accepted for the sake of complete
independence of any network connection afterwards.
The second and probably most important advantage
of local replay is the ability to provide advanced
features for interaction and navigation. In a survey
(Lauer et al. 2004), we evaluated the importance of
different interaction features which are illustrated in
Figure 1. The results confirmed the assumption that
advanced browsing and navigation functionality is
essential when learning with lecture recordings. This
observation is consistent with other studies, for
example the one of Li et al. (2000), which evaluated
different kinds of browsing approaches for digital
video recordings (including but not limited to lecture
recordings). Such subjective user ratings are also
confirmed by studies observing the actual usage of
different features in real-world situations. For
example, Zupancic and Horz (2002) present a log
file analysis indicating that users of recorded
lectures make intensive use of such advanced
browsing and navigation functionality when
reviewing these documents.
It is obvious that the efficient use of the mechanisms
presented in Figure 1 crucially depends on their
responsiveness, i.e. the speed at which the resulting
jumps in the document can be carried out. Even
simple interactions, such as a slide-based navigation
through a document, often result in a significant time
delay when contents are streamed, thus disrupting
the learning process and limiting the interaction with
the data. Certain features, such as random visible
scrolling (cf. (a) in Fig. 1) which was found to be
very important according to Lauer et al. (2004),
cannot be realized with streaming at all, because the
ability to navigate along the timeline at any speed
directly conflicts with the basic concept of
streaming, as this feature requires real-time random
access to any position within a document.
3 MODELS FOR DELIVERY
Based on the discussion in the previous section, we
see ourselves confronted with two contradicting
ENHANCED INTERACTION FOR STREAMING MEDIA
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