Toward a Tutorial Dialogue System for Urban Navigation

نویسندگان

  • Christopher Fox
  • Kristy Elizabeth Boyer
چکیده

GPS navigation systems are tremendously beneficial for drivers, affording their users the ability to navigate to any destination regardless of their prior knowledge of the roads. However, as previous studies have shown, these systems can inhibit the formation of a cognitive map of a driver's local area (Jackson, 1996; Burnett and Lee, 2005). This lack of development of navigational skills and knowledge poses difficulties in situations where navigation systems fail, such as when network connectivity is lost, a battery is drained, or there is not enough time to input a destination into the system. Burnett and Lee (2005) called for a new " learning-oriented " user interface design for navigation systems, and Oliver and Burnett (2008) later observed that adding landmarks and traces of previous trips to the visual map display encouraged cognitive map development. We hypothesize that a learning-oriented navigation system based on dialogue and long-range navigation instructions will be equally or more effective, while providing a more natural interaction modality that does not require visual attention to the navigation interface. In the system we envision, the next instruction offered would be based on a model of the user's navigational knowledge, which would be estimated from observations of past navigation sessions and from dialogue with the user. Such a system may be thought of as an intelligent tutoring system for urban navigation. Following the " scaffolding " paradigm from education research, the strategy of the tutor would be to gradually reduce the level of assistance along frequent routes until the user achieves mastery (Wood et al., 1976). This abstract describes the planned navigation tutor in more detail, as well as results from a preliminary experiment in urban navigation. The goal of the tutor is to facilitate the user's development of a cognitive map of his or her local area, while also providing assistance for unfamiliar routes. Jackson (1996) found that, for study participants watching a video of a particular route taken from the driver's perspective, the introduction of a narrator reading turn-by-turn instructions caused one group of participants to remember the details of the route less well than another group that had no narrator. Burnett and Lee (2005) made similar observations of users who were asked to complete several routes in a driving simulator, where one group of users was given turn-by-turn guidance as they drove and the other was not as they drove. Based on these results, it …

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Development and Usability Evaluation of an Online Tutorial for “How to Write a Proposal” for Medical Sciences Students

Background and Objective: Considering the importance of learning how to write a proposal for students, this study was performed to develop an online tutorial for “How to write a Proposal” for students and to evaluate its usability. Methods: This study is a developmental research and tool design. “Gamified Online Tutorial based on Self-Determination Theory (GOT-STD) Framework" became the basis f...

متن کامل

Leveraging Hidden Dialogue State to Select Tutorial Moves

A central challenge for tutorial dialogue systems is selecting an appropriate move given the dialogue context. Corpus-based approaches to creating tutorial dialogue management models may facilitate more flexible and rapid development of tutorial dialogue systems and may increase the effectiveness of these systems by allowing data-driven adaptation to learning contexts and to individual learners...

متن کامل

A Tutorial Dialogue System for Real-Time Evaluation of Unsupervised Dialogue Act Classifiers: Exploring System Outcomes

Dialogue act classification is an important step in understanding students’ utterances within tutorial dialogue systems. Machinelearned models of dialogue act classification hold great promise, and among these, unsupervised dialogue act classifiers have the great benefit of eliminating the human dialogue act annotation effort required to label corpora. In contrast to traditional evaluation appr...

متن کامل

Discovering Tutorial Dialogue Strategies with Hidden Markov Models

Identifying effective tutorial strategies is a key problem for tutorial dialogue systems research. Ongoing work in human-human tutorial dialogue continues to reveal the complex phenomena that characterize these interactions, but we have not yet seen the emergence of an automated approach to discovering tutorial dialogue strategies. This paper presents a first step toward establishing a methodol...

متن کامل

Inferring Tutorial Dialogue Structure with Hidden Markov Modeling

The field of intelligent tutoring systems has seen many successes in recent years. A significant remaining challenge is the automatic creation of corpus-based tutorial dialogue management models. This paper reports on early work toward this goal. We identify tutorial dialogue modes in an unsupervised fashion using hidden Markov models (HMMs) trained on input sequences of manually-labeled dialog...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013