Dialogue based interfaces for universal access.

Conversation provides an excellent means of communication for almost all people. Consequently, a conversational interface is an excellent mechanism for allowing people to interact with systems. Conversational systems are an active research area, but a wide range of systems can be developed with current technology. More sophisticated interfaces can take considerable effort, but simple interfaces can be developed quite rapidly. This paper gives an introduction to the current state of the art of conversational systems and interfaces. It describes a methodology for developing conversational interfaces and gives an example of an interface for a state benefits web site. The paper discusses how this interface could improve access for a wide range of people, and how further development of this interface would allow a larger range of people to use the system and give them more functionality

The computational therapeutic: exploring Weizenbaum's ELIZA as a history of the present

This paper explores the history of ELIZA, a computer programme approximating a Rogerian therapist, developed by Jospeh Weizenbaum at MIT in the 1970s, as an early AI experiment. ELIZA’s reception provoked Weizenbaum to re-appraise the relationship between ‘computer power and human reason’ and to attack the ‘powerful delusional thinking’ about computers and their intelligence that he understood to be widespread in the general public and also amongst experts. The root issue for Weizenbaum was whether human thought could be ‘entirely computable’ (reducible to logical formalism). This also provoked him to re-consider the nature of machine intelligence and to question the instantiation of its logics in the social world, which would come to operate, he said, as a ‘slow acting poison’. Exploring Weizenbaum’s 20th Century apostasy, in the light of ELIZA, illustrates ways in which contemporary anxieties and debates over machine smartness connect to earlier formations. In particular, this article argues that it is in its designation as a computational therapist that ELIZA is most significant today. ELIZA points towards a form of human–machine relationship now pervasive, a precursor of the ‘machinic therapeutic’ condition we find ourselves in, and thus speaks very directly to questions concerning modulation, autonomy, and the new behaviorism that are currently arising

Some Empirical Criteria for Attributing Creativity to a Computer Program

Peer reviewedPostprin

Buber, educational technology, and the expansion of dialogic space

Buber’s distinction between the ‘I-It’ mode and the ‘I-Thou’ mode is seminal for dialogic education. While Buber introduces the idea of dialogic space, an idea which has proved useful for the analysis of dialogic education with technology, his account fails to engage adequately with the role of technology. This paper offers an introduction to the significance of the I-It/I-Thou duality of technology in relation to opening dialogic space. This is followed by a short schematic history of educational technology which reveals the role technology plays, not only in opening dialogic space, but also in expanding dialogic space. The expansion of dialogic space is an expansion of what it means to be ‘us’ as dialogic engagement facilitates the incorporation, into our shared sense of identity, of aspects of reality that are initially experienced as alien or ‘other’. Augmenting Buber with an alternative understanding of dialogic space enables us to see how dialogue mediated by technology, as well as dialogue with monologised fragments of technology (robots), can, through education, lead to an expansion of what it means to be human

Взаимосвязь ожирения и нарушений углеводного обмена с синдромом обструктивного апноэ во сне

Представлены литературные данные клинических исследований, в которых синдром обструктивного апноэ во сне (СОАС) рассматривается как фактор риска развития нарушений углеводного обмена, в том числе сахарного диабета 2−го типа. Анализируется взаимосвязь наиболее значимых факторов, влияющих на прогрессирование нарушений углеводного обмена у пациентов с СОАС. Приведен анализ данных о связи СОАС с диабетической автономной нейропатией и инсулинорезистентностью. Рассматривается возможность применения СРАР−терапии для коррекции метаболических нарушений у пациентов с сахарным диабетом.Представлено літературні дані клінічних досліджень, у яких синдром обструктивного апное під час сну (СОАС) розглянуто як фактор ризику розвитку порушень вуглеводного обміну, у тому числі цукрового діабету 2−го типу. Аналізується взаємозв'язок найбільш значущих факторів, що впливають на прогресування порушень вуглеводного обміну у пацієнтів із СОАС. Наведено аналіз даних про зв'язок СОАС із діабетичною автономною нейропатією та інсулінорезистентністю. Розглянуто можливість використання СРАР−терапії для корекції метаболічних порушень у пацієнтів із цукровим діабетом.Literature data about clinical trials, in which sleep apnea syndrome (SAS) is featured as a risk factor of carbohydrate metabolism disorders, including type 2 diabetes mellitus, are presented. Association of the most significant factors influencing the progress carbohydrate metabolism disorders in patients with SAS is analyzed. The data about the association of SAS and diabetic autonomous neuropathy and insulin resistance are featured. Possibility to use CPAP therapy for correction of metabolic disorders in patients with diabetes mellitus is discussed

Cognition 'In the Wild': using smartphones to assess cognitive variability in healthy adults and individuals with Parkinson's disease

The prevalence of neurodegenerative disorders affecting cognition is rising as the population ages, underscoring the need for accessible methods of assessment. Repeated remote testing in one’s context may reveal cognition’s dynamics and determinants and advance ecologically valid precision medicine. The hypotheses of Study 1 were that cognition would vary with context, and that individual differences would predict patterns of cognitive variability. 177 young adults (mean age 19.2, 100 women) were prompted via smartphone app 5x/day for 10 days to complete brief cognitive tasks and surveys about their context. Psychometric analyses showed that the smartphone working memory task, more than the executive function task, had greater between-subject reliability and within-subject variability in performance. Multi-level modeling revealed no contextual variables that were directly predictive of smartphone performance. There was indication of significant between person differences in the association between momentary motivation and working memory, but no between-person moderators of this relation were identified. Study 2 proposed the same hypotheses as Study 1 while assessing the feasibility of smartphone cognitive assessment in Parkinson’s disease (PD) and convergent validity between performance on the smartphone tasks and traditional neuropsychological tests. Twenty-seven participants with mild-moderate PD (mean age 63.2, 13 women) completed surveys and games 5x/day for 10 days. The results supported both hypotheses. Response rate to prompts was high, demonstrating feasibility of the approach. Between-subject reliability was high on both games. Within-subject variability was higher for working memory. Multi-level modeling indicated that performance was better on smartphone working memory when participants reported being “home” and having recently exercised, particularly in individuals who endorsed exercise less frequently. Multi-level modeling also revealed that less self-reported daytime sleepiness, and lower PD symptom burden, predicted a stronger association between time of day and smartphone test performance. Strong convergent validity was seen between traditional tests and smartphone working memory but not executive function. Together these findings support the use of repeat smartphone assessments to understand how context affects cognitive performance. Further development of this assessment method could be useful in increasing sensitivity and specificity regarding cognitive dysfunction, and ultimately lead to personalized treatment recommendations

A truly human interface: interacting face-to-face with someone whose words are determined by a computer program

We use speech shadowing to create situations wherein people converse in person with a human whose words are determined by a conversational agent computer program. Speech shadowing involves a person (the shadower) repeating vocal stimuli originating from a separate communication source in real-time. Humans shadowing for conversational agent sources (e.g., chat bots) become hybrid agents (“echoborgs”) capable of face-to-face interlocution. We report three studies that investigated people’s experiences interacting with echoborgs and the extent to which echoborgs pass as autonomous humans. First, participants in a Turing Test spoke with a chat bot via either a text interface or an echoborg. Human shadowing did not improve the chat bot’s chance of passing but did increase interrogators’ ratings of how human-like the chat bot seemed. In our second study, participants had to decide whether their interlocutor produced words generated by a chat bot or simply pretended to be one. Compared to those who engaged a text interface, participants who engaged an echoborg were more likely to perceive their interlocutor as pretending to be a chat bot. In our third study, participants were naïve to the fact that their interlocutor produced words generated by a chat bot. Unlike those who engaged a text interface, the vast majority of participants who engaged an echoborg did not sense a robotic interaction. These findings have implications for android science, the Turing Test paradigm, and human–computer interaction. The human body, as the delivery mechanism of communication, fundamentally alters the social psychological dynamics of interactions with machine intelligence

Support for Internet-Based Commonsense Processing – Causal Knowledge Discovery Using Japanese “If” Forms

Abstract. This paper introduces our method for causal knowledge re-trieval from the Internet resources, its results and evaluation of using it in utterance creation process. Our system automatically retrieves common-sensical knowledge from the Web resources by using simple web-mining and information extraction techniques. For retrieving causal knowledge the system uses three of specific several Japanese “if ” forms. From the results we can conclude that Japanese web pages indexed by a common search engine spiders are enough to discover common causal relationships and this knowledge can be used for making Human-Computer Interfaces sound more natural and interesting than while using classic methods

From process models to chatbots

The effect of digital transformation in organizations needs to go beyond automation, so that human capabilities are also augmented. A possibility in this direction is to make formal representations of processes more accessible for the actors involved. On this line, this paper presents a methodology to transform a formal process description into a conversational agent, which can guide a process actor through the required steps in a user-friendly conversation. The presented system relies on dialog systems and natural language processing and generation techniques, to automatically build a chatbot from a process model. A prototype tool – accessible online – has been developed to transform a process model in BPMN into a chatbot, defined in Artificial Intelligence Marking Language (AIML), which has been evaluated over academic and industrial professionals, showing potential into improving the gap between process understanding and execution.Peer ReviewedPostprint (author's final draft

Chatbot Theory: A naïve and elementary theory for dialogue management

Due to the increasing interested and use of chatbot, its properties and operation possibilities shall be proper realized matching both safety and security issues as well as present the several uses and compositions that this technology supports. This paper focus is on dialogue management since it is considered the core of a chatbot. The dialogue manager is responsible to, more than to transform an input sentence into an output one, hold the illusion of a human conversation. In this sense, it is presented an inceptive theoretical framework through a formal way for chatbots that can be used as a reference to explore, compose, build and discuss chatbots. The discussion is performed mostly on ELIZA since, due to its historical records, it can be considered an important reference chatbot, nevertheless, the proposed theory is compatible with the most recent technologies such those using machine and deep learning. The paper then presents some sketchy instances in order to explore the support provided by the theory.This paper has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT – Fundação para a Ciência e Tecnologia - Project UID/CEC/ 00319/2013