Elena Mugellini
University of Applied Sciences Western Switzerland
Human–computer interactionMultimodal interactionWorld Wide WebWearable computerSmart environmentArtificial intelligencePsychologyGesture recognitionUsabilityUbiquitous computingDialog systemUser experience designGestureInformation retrievalChatbotModalitiesContext (language use)Task (project management)MultimodalitySpeech recognitionComputer visionField (computer science)Computer scienceSimulationMultimediaApplied psychologyUser interface
206Publications
16H-index
924Citations
Publications 199
Newest
#1Jacky Casas (University of Applied Sciences Western Switzerland)H-Index: 2
#2Silas Berger (University of Bern)
Last. Denis Lalanne (University of Fribourg)H-Index: 26
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Localising Twitter users when trying to analyse local trends, events, or mood is a useful capability. However, there is still no method able to reach high precision and recall. Research projects attempting to localise Twitter users to a precise radius (e.g., 10km) managed to localise at most 60% of users correctly. In this paper, we propose a way to classify them by the country they are located in, instead of finding a precise localisation. We apply our technique to Switzerland and locate the us...
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#1Martin Dobricki (University of Bern)
#2David Weibel (University of Bern)H-Index: 12
Last. Fred W. Mast (University of Bern)H-Index: 35
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While one is walking, the stimulation by one's body forms a structure with the stimulation by the environment. This locomotor array of stimulation corresponds to the human-environment relation that one's body forms with the environment it is moving through. Thus, the perceptual experience of walking may arise from such a locomotor array of stimulation. Humans can also experience walking while they are sitting. In this case, there is no stimulation by one's walking body. Hence, one can experience...
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May 8, 2021 in CHI (Human Factors in Computing Systems)
#1Karl Daher (University of Applied Sciences Western Switzerland)H-Index: 1
#2Marine Capallera (University of Applied Sciences Western Switzerland)H-Index: 4
Last. Elena Mugellini (University of Applied Sciences Western Switzerland)H-Index: 16
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Automation in driving will change the role of the drivers from actor to passive supervisor. Although the vehicle will be responsible for driving manoeuvres, drivers will need to rely on automation and understand its decisions to establish a trusting relationship between them and the vehicle. Progress has been made in conversational agents and affective machines recently. Moreover, it seems to be promising in this establishment of trust between humans and machines. We believe it is essential to i...
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#2Jacky CasasH-Index: 2
Last. Elena MugelliniH-Index: 3
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#1Emmanuel de Salis ('ENS Paris': École Normale Supérieure)H-Index: 4
#2Quentin Meteier (University of Applied Sciences Western Switzerland)H-Index: 3
Last. Stefano Carrino ('ENS Paris': École Normale Supérieure)H-Index: 9
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Takeover requests in conditionally automated vehicles are a critical point in time that can lead to accidents, and as such should be transmitted with care. Currently, several studies have shown the impact of using different modalities for different psychophysiological states, but no model exists to predict the takeover quality depending on the psychophysiological state of the driver and takeover request modalities. In this paper, we propose a machine learning model able to predict the maximum st...
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#1Quentin Meteier ('ENS Paris': École Normale Supérieure)
#1Quentin Meteier ('ENS Paris': École Normale Supérieure)H-Index: 3
Last. Andreas Sonderegger (Bern University of Applied Sciences)
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The use of automation in cars is increasing. In future vehicles, drivers will no longer be in charge of the main driving task and may be allowed to perform a secondary task. However, they might be requested to regain control of the car if a hazardous situation occurs (i.e conditionally automated driving). Performing a secondary task might increase drivers' mental workload and consequently decrease the takeover performance if the workload level exceeds a certain threshold. Knowledge about the dri...
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#1Bhalaji NagarajanH-Index: 3
#2Rupali Khatun (University of Barcelona)H-Index: 1
Last. Lucia TarroH-Index: 10
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#1Mira El Kamali (University of Applied Sciences Western Switzerland)H-Index: 3
#2Leonardo Angelini (University of Applied Sciences Western Switzerland)H-Index: 11
Last. Elena Mugellini (University of Applied Sciences Western Switzerland)H-Index: 16
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Recently, research in the multimodal interaction area has shown a rapid development and users have been embracing their experience of multimodal technologies. In fact, having a multimodal system means allowing the user to choose one or more communication channel to access the system. While, on the contrary, unimodal systems do not have this option and can only settle to one-way of communication. Particularly, conversational agents are also in rapid increment and older adults are becoming more an...
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#1Jacky Casas (University of Applied Sciences Western Switzerland)H-Index: 2
#2Marc-Olivier Tricot (University of Fribourg)
Last. Philippe Cudré-Mauroux (University of Fribourg)H-Index: 37
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Chatbots are computer programs aiming to replicate human conversational abilities through voice exchanges, textual dialogues, or both. They are becoming increasingly pervasive in many domains like customer support, e-coaching or entertainment. Yet, there is no standardised way of measuring the quality of such virtual agents. Instead, multiple individuals and groups have established their own standards either specifically for their chatbot project or have taken some inspiration from other groups....
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#1Leonardo AngeliniH-Index: 11
#2Mira El KamaliH-Index: 3
Last. Hannes Schlieter (TUD: Dresden University of Technology)H-Index: 10
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T e-Coaches are promising intelligent systems that aims at supporting human everyday life, dispatching advices through different interfaces, such as apps, conversational interfaces and augmented reality interfaces. This workshop aims at exploring how e-coaches might benefit from spatially and time-multiplexed interfaces and from different communication modalities (e.g., text, visual, audio, etc.) according to the context of the interaction.
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