Searched for: subject%3A%22Conversational%255C+Agent%22
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Al Owayyed, Mohammed (author)
PhD students are usually more susceptible than other people to depression-inducing situations, which are not adequately addressed in eHealth systems. Cognitive behavioral therapy (CBT) is a well-established depression treatment, and one of its therapeutic methods is to change negative thought patterns into positive ones. The new positive...
master thesis 2020
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da Motta Rezende Pierantoni, Felipe (author)
What is the impact of smart speakers on our well-being? As the popularity of these devices continues to grow, so does the discussions around their potential dangers. From reports of children developing aggressive behaviours to studies on the perpetuation of sexist stereotypes, our interactions with smart speakers are accompanied by a series of...
master thesis 2020
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Sobha, Rohan (author)
This paper delved into the effects of domain expertise on a user's conversational search, because as the use and acceptance of voice assistants increase the need for conversational search agent that can accommodate to a human characteristic such as domain expertise. Accommodating to disadvantaged users of web search as earlier works showed that...
bachelor thesis 2020
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Morales Ornelas, Hosana (author)
There are various organisations such as the European Society of Cardiology (2012) and American Heart Association (2013), which describe why physical activity is essential for the development in youth. Unfortunately, children who have a Congenital Heart Defect (CHD), may suffer from a lack of opportunity to perform physical activity, decreasing...
master thesis 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Due to the coronavirus pandemic, remote work from home has rapidly become a necessity around the world, drastically changing the potential landscape for the future of work. Over the last couple of decades, microtask crowdsourcing has emerged as a viable means of carrying out remote online work to earn one’s living — an alternative to traditional...
conference paper 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Conversational agents are playing an increasingly important role in providing users with natural communication environments, improving outcomes in a variety of domains in human-computer interaction. Crowdsourcing marketplaces are simultaneously flourishing, and it has never been easier to acquire large-scale human input from online workers....
conference paper 2020
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Schouten, D.G.M. (author), Massink, Pim (author), Donker, Stella F. (author), Neerincx, M.A. (author)
In this study, we attempt to specify the cognitive support behavior of a previously designed embodied conversational agent coach that provides learning support to low-literates. Three knowledge gaps are identified in the existing work: an incomplete specification of the behaviors that make up ‘support,’ an incomplete specification of how this...
journal article 2020
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Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
This demo presents TickTalkTurk, a tool that can assist task requesters in quickly deploying crowdsourcing tasks in a customizable conversational worker interface. The conversational worker interface can convey task instructions, deploy microtasks, and gather worker input in a dialogue-based workflow. The interface is implemented as a Web...
conference paper 2020
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Nicenboim, I. (author), Giaccardi, Elisa (author), Søndergaard, Marie Louise Juul (author), Reddy, Anuradha Venugopal (author), Strengers, Yolande (author), Pierce, James (author), Redström, Johan (author)
This one-day workshop brings together HCI researchers, designers, and practitioners to explore how to study and design (with) AI agents from a more-than-human design perspective. We invite participants to experiment with thing ethnography and material speculations, as a starting point to map and possibly integrate emergent frameworks and...
conference paper 2020
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Bălan, Alexandru (author)
Nowadays, most users access the web through search engine portals. However, information needs can often be ill-defined or too broad to be solvable by a list of results the user has to scroll through, which implies that he is most likely required to refine the need by himself to reach the desired result. In recent years, researchers have...
master thesis 2019
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Sirocki, Jeffrey (author)
Objective: This thesis aided the 113 Suicide Prevention (113), the national suicide prevention center for The Netherlands, by investigating technical solutions for the helpline, implementing an e-learning prototype housing six suicidal personas within a conversational agent model, and evaluating and analyzing an experiment on its effect, which...
master thesis 2019
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Enreina Annisa Rizkiasri, Enreina (author)
Knowledge Base Construction (KBC) is a challenging and complex task involving several substeps and many experts of a knowledge domain. Crowdsourcing approach has been used to support KBC with promising scalability and output quality, but to enable even more people to participate in KBC, there is a need to broaden the pool of workers beyond the...
master thesis 2019
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Neerincx, M.A. (author), van Vught, Willeke (author), Blanson Henkemans, O.A. (author), Oleari, Elettra (author), Broekens, D.J. (author), Rijgersberg, R.M. (author), Kaptein, F.C.A. (author), Demiris, Yiannis (author), Kiefer, Bernd (author), Fumagalli, Diego (author), Bierman, Bert (author)
Social or humanoid robots do hardly show up in “the wild,” aiming at pervasive and enduring human benefits such as child health. This paper presents a socio-cognitive engineering (SCE) methodology that guides the ongoing research & development for an evolving, longer-lasting human-robot partnership in practice. The SCE methodology has been...
journal article 2019
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Tielman, M.L. (author), Neerincx, M.A. (author), Pagliari, Claudia (author), Rizzo, Albert (author), Brinkman, W.P. (author)
Background: Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safety, AEMH systems need to detect risk situations and act on these appropriately. One option is sending automatic alerts to...
journal article 2019
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Mavridis, P. (author), Huang, Owen (author), Qiu, S. (author), Gadiraju, Ujwal (author), Bozzon, A. (author)
Conversational interfaces can facilitate human-computer interactions. Whether or not conversational interfaces can improve worker experience and work quality in crowdsourcing marketplaces has remained unanswered. We investigate the suitability of text-based conversational interfaces for microtask crowdsourcing. We designed a rigorous...
conference paper 2019
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Huang, Owen (author)
Human Computation (HC) has established itself to be a powerful tool for carrying out certain simple and repetitive tasks in the form of microtasks, which to this day are still difficult for a machine to automate. <br/>With the latest increase in interest in machine learning, HC has similarly gotten more attention as a popular way to acquire...
master thesis 2018
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Sarder, Mehedi Anam (author)
Embodied Conversational Agents (ECA) seek to provide a more natural means of interaction for a user through verbal and non-verbal properties of human face-to-face communication. For this reason, these systems are found to bring benefits in different mental health related interventions. However, a key challenge in developing agents to replace the...
master thesis 2018
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Tielman, M.L. (author)
Post-traumatic stress disorder (PTSD) is a mental disorder with a high impact on quality of life, and despite the existence of treatment, barriers still stop many people from receiving the care they need. An e-mental health system for home use might remove some of these barriers, as it provides a privacy-sensitive and accessible way of following...
doctoral thesis 2018
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Kucherbaev, P. (author), Bozzon, A. (author), Houben, G.J.P.M. (author)
A chatbot is an example of a text-based conversational agent. While natural language understanding and machine learning techniques advance rapidly, current fully automated chatbots still struggle to serve their users well. Human intelligence, brought by crowd workers, freelancers or even full-time employees can be embodied in the chatbot logic...
journal article 2018
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Bapat, Rucha (author), Kucherbaev, P. (author), Bozzon, A. (author)
Chatbots are text-based conversational agents. Natural Language Understanding (NLU) models are used to extract meaning and intention from user messages sent to chatbots. The user experience of chatbots largely depends on the performance of the NLU model, which itself largely depends on the initial dataset the model is trained with. The training...
conference paper 2018
Searched for: subject%3A%22Conversational%255C+Agent%22
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