Beyond English text: Multilingual and multimedia information retrieval.

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Designing Effective Conversational Repair Strategies for Chatbots

Conversational breakdowns often force users to go through frustrating loops of trial and error when trying to get answers from chatbots. Although research has emphasized the potential of conversational repair strategies in helping users resolve breakdowns, design knowledge for implementing such strategies is scarce. To address this challenge, we are conducting a design science research (DSR) project to design effective repair strategies that help users recover from conversational breakdowns with chatbots. This paper presents the first design cycle, proposing, instantiating, and evaluating our first design principle on identifying the cause of conversational breakdowns. Using 21,736 real-world user messages from a large insurance company, we conducted a cluster analysis of 5,668 messages leading to breakdowns, identified four distinct breakdown types, and built a classifier that can be used to automatically identify breakdown causes in real time. Our research contributes with prescriptive knowledge for designing repair strategies in conversational breakdown situations

Speech as a writing tool : An exploratory study of speech-to-text technology in lower secondary education

The aim of this project is to explore the potential of STT as a writing tool for lower secondary education pupils with writing difficulties. The project comprises three studies. Study 1 is a scoping review of empirical research on the use of STT among secondary pupils with learning difficulties published from January 2000 to April 2022. Study 2 explores teachers’ perspectives of STT as an inclusive approach in secondary education through focus group interviews. Study 3 explores the use of STT as a writing modality through analyses of screen recordings and interviews with pupils with low writing achievement. The results of Study 1 indicate that very little research has been conducted on the use of such technology for adolescents with learning difficulties at the secondary education level. The review identified eight peer-reviewed studies and five publications of grey literature. Areas of interest include five topics: writing-related skills, text assessment, writing processes, accuracy of the technology and participants’ experiences. The findings further indicate that writing performance among pupils with learning difficulties is improved when using STT and that parents, teachers and pupils report positive experiences with using the technology. The results from Study 2 regarding teachers’ experiences of STT as an inclusive approach reveal that the implementation of STT technology challenges different aspects of inclusion. Furthermore, teachers primarily considered STT an assistive technology that is useful for pupils with writing difficulties. Yet, they also reported that the technology offers opportunities for all pupils to participate in collaborative writing tasks, discuss norms for formal and informal languages and produce first drafts without having to worry about spelling. In addition, whilst STT provides academic opportunities for most learners, it is also described as a disruptive and embarrassing element in a whole-class environment. Finally, the results from Study 3 reveal that pupils with low writing achievement could not rely on STT to be 100% accurate and to provide correct orthography and syntax in Norwegian. Such findings suggest that technological issues must be addressed and that sufficient practice is necessary before STT can be implemented as a truly beneficial tool for adolescents with low writing achievement within the context of Norwegian secondary education.publishedVersio

An analysis of the application of AI to the development of intelligent aids for flight crew tasks

This report presents the results of a study aimed at developing a basis for applying artificial intelligence to the flight deck environment of commercial transport aircraft. In particular, the study was comprised of four tasks: (1) analysis of flight crew tasks, (2) survey of the state-of-the-art of relevant artificial intelligence areas, (3) identification of human factors issues relevant to intelligent cockpit aids, and (4) identification of artificial intelligence areas requiring further research