title: Exploring orientation cues in both digital and physical books

authors: Vanderschantz, Nicholas

subjects: computer science

abstract: Electronic books (eBooks) and eReaders are now a commonplace tool in the reading experience for many readers. Yet these have long received mixed reviews. Designing suitable interactions that support successful eReading experiences is a relevant task. This paper reports on an exploration of orientation cue designs for electronic books through consideration of design techniques implemented in both physical books (pBooks) and eBooks. We executed a case study of contemporary pBook and eBook orientation cue designs and report on the results of a heuristic evaluation with a small set of expert evaluators. Our findings identify the need for further investigation of the design of orientation cues for both pBooks and eBooks.

text: Exploring orientation cues in both digital and physical books Electronic books (eBooks) and eReaders are now a commonplace tool in the reading experience for many readers. Yet these have long received mixed reviews. Designing suitable interactions that support successful eReading experiences is a relevant task. This paper reports on an exploration of orientation cue designs for electronic books through consideration of design techniques implemented in both physical books (pBooks) and eBooks. We executed a case study of contemporary pBook and eBook orientation cue designs and report on the results of a heuristic evaluation with a small set of expert evaluators. Our findings identify the need for further investigation of the design of orientation cues for both pBooks and eBooks.

year: 2017

title: Prediction Intervals for Class Probabilities

authors: Yu, Xiaofeng

subjects: bayesian classifier

abstract: Prediction intervals for class probabilities are of interest in machine learning because they
can quantify the uncertainty about the class probability estimate for a test instance. The
idea is that all likely class probability values of the test instance are included, with a
pre-specified confidence level, in the calculated prediction interval. This thesis proposes a
probabilistic model for calculating such prediction intervals. Given the unobservability of
class probabilities, a Bayesian approach is employed to derive a complete distribution of the
class probability of a test instance based on a set of class observations of training instances
in the neighbourhood of the test instance. A random decision tree ensemble learning
algorithm is also proposed, whose prediction output constitutes the neighbourhood that
is used by the Bayesian model to produce a PI for the test instance. The Bayesian
model, which is used in conjunction with the ensemble learning algorithm and the standard
nearest-neighbour classifier, is evaluated on artificial datasets and modified real datasets.

text: Prediction Intervals for Class Probabilities Prediction intervals for class probabilities are of interest in machine learning because they
can quantify the uncertainty about the class probability estimate for a test instance. The
idea is that all likely class probability values of the test instance are included, with a
pre-specified confidence level, in the calculated prediction interval. This thesis proposes a
probabilistic model for calculating such prediction intervals. Given the unobservability of
class probabilities, a Bayesian approach is employed to derive a complete distribution of the
class probability of a test instance based on a set of class observations of training instances
in the neighbourhood of the test instance. A random decision tree ensemble learning
algorithm is also proposed, whose prediction output constitutes the neighbourhood that
is used by the Bayesian model to produce a PI for the test instance. The Bayesian
model, which is used in conjunction with the ensemble learning algorithm and the standard
nearest-neighbour classifier, is evaluated on artificial datasets and modified real datasets.

year: 2007

title: 'Te Kawau Mārō' The Role of Media in Revitalising Te Reo Māori

authors: Hill, Jessie Lee Anahira

subjects: Media

abstract: The intent of this thesis is to investigate the role media plays in relation to the revitalisation of te reo Māori in Aotearoa/New Zealand society. This is essential as the media's latent potential is often underestimated and therefore underutilised. 

For Māori and inevitably te reo Māori, media has been a topic of heated contestation for over a century. It is postulated that throughout this troubled history, media's influence has contributed to an erosion of te reo Māori and then conversely, since the late 20th century, its attempted revival. The journey of te reo Māori from past to present may be likened to a voyage of a traditional 'waka hourua' (voyaging or double hulled canoe). 'Nga ngaru e toru' ('three waves') illustrates the three stages that I have defined as catalysts significantly impacting te reo Māori. 

Grounded firmly in a Kaupapa Māori methodological and theoretical framework based on careful research and intimate cultural knowledge, my innovative approaches to language revitalisation entitled the Tapatoru (triangle) Model 1 and Tapatoru Model 2 will be introduced and explained. These distinct language revitalisation paradigms illustrate the core ingredients needed in effective language revival and illustrate the positioning and function of the media within these strategic models.

text: 'Te Kawau Mārō' The Role of Media in Revitalising Te Reo Māori The intent of this thesis is to investigate the role media plays in relation to the revitalisation of te reo Māori in Aotearoa/New Zealand society. This is essential as the media's latent potential is often underestimated and therefore underutilised. 

For Māori and inevitably te reo Māori, media has been a topic of heated contestation for over a century. It is postulated that throughout this troubled history, media's influence has contributed to an erosion of te reo Māori and then conversely, since the late 20th century, its attempted revival. The journey of te reo Māori from past to present may be likened to a voyage of a traditional 'waka hourua' (voyaging or double hulled canoe). 'Nga ngaru e toru' ('three waves') illustrates the three stages that I have defined as catalysts significantly impacting te reo Māori. 

Grounded firmly in a Kaupapa Māori methodological and theoretical framework based on careful research and intimate cultural knowledge, my innovative approaches to language revitalisation entitled the Tapatoru (triangle) Model 1 and Tapatoru Model 2 will be introduced and explained. These distinct language revitalisation paradigms illustrate the core ingredients needed in effective language revival and illustrate the positioning and function of the media within these strategic models.

year: 2010