References of "Dubiel, Mateusz 50044812"
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See detailCUI'23: Proceedings of the 5th Conference on Conversational User Interfaces 2023
Dubiel, Mateusz UL; Bongard, Kerstin UL; Leiva, Luis A. UL et al

in Are you sure you want to order that? On Appropriateness of Voice-only Proactive Feedback Strategies (2023, July 20)

Conversational agents (CAs) that deliver proactive interventions can benefit users by reducing their cognitive workload and improving performance. However, little is known regarding how such interventions ... [more ▼]

Conversational agents (CAs) that deliver proactive interventions can benefit users by reducing their cognitive workload and improving performance. However, little is known regarding how such interventions would impact perception of CA’s appropriateness in voice-only, decision-making tasks. We conducted a within-subjects experiment (N=30) to evaluate the effect of CA’s feedback delivery strategy at three levels (no feedback, unsolicited, and solicited feedback) in an interactive food ordering scenario. We discovered that unsolicited feedback was perceived to be more appropriate than solicited feedback. Our results provide preliminary insights regarding the impact of proactive feedback on CA perception in decision-making tasks. [less ▲]

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See detailModelling Attention Levels with Ocular Responses in a Speech-in-Noise Recall Task
Dubiel, Mateusz UL; Nakayama, Minoru; Wang, Xin

in ETRA '23: Proceedings of the 2023 Symposium on Eye Tracking Research and Applications (2023, May 30)

We applied state-space modelling technique to estimate the cognitive workload of a speech-in-noise (SIN) recall task, based on participants’ oculo-motor responses to speech signals. We estimated common ... [more ▼]

We applied state-space modelling technique to estimate the cognitive workload of a speech-in-noise (SIN) recall task, based on participants’ oculo-motor responses to speech signals. We estimated common latent attention levels in 15 time bins and observed temporal changes between pupillary dilations and saccade frequencies, given that the both conditions were independent. We also compared two speech type factors (natural vs. synthetic) and three levels of signal-to-noise (-1dB, -3dB, and -5dB) using the estimated parameter distribution. The comparison of experimental factors provided us with insights into differences in participants’ processing of spoken information during a SIN recall task. [less ▲]

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See detailLet’s Talk it through, anew: Promises and Pitfalls of Customisable Conversational Reflection Support
Dubiel, Mateusz UL; Leiva, Luis A. UL

Scientific Conference (2023, April 28)

As modern lifestyles are becoming increasingly stressful and ever more hectic with multiple stimuli constantly competing for our attention, Affective Disorders (ADs) such as anxiety and depression are on ... [more ▼]

As modern lifestyles are becoming increasingly stressful and ever more hectic with multiple stimuli constantly competing for our attention, Affective Disorders (ADs) such as anxiety and depression are on the rise. Consequently, due to the burgeoning demand for counseling and therapeutic services, many people who suffer from ADs are struggling to timely access the professional support that they require. To address this problem, voice-enabled Conversational Agents (CAs) have been recently proposed as tools for supporting self-reflection and providing assistance in managing a range of ADs through synthetic voices. However, despite their therapeutic potential, CAs offer a very limited choice when it comes to selection and personalisation of synthetic voices used. The goal of this paper is two-fold: (1) it discusses the potential benefits that a CA’s voice customisation can bring to enhance user engagement and promote long term self-reflection, and (2) it offers reflection on the corresponding challenges associated to this approach. [less ▲]

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See detailConversational Agents Trust Calibration: A User-Centred Perspective to Design
Dubiel, Mateusz UL; Daronnat, Sylvain; Leiva, Luis A. UL

in Conversational Agents Trust Calibration: A User-Centred Perspective to Design (2022)

Previous work identified trust as one of the key requirements for adoption and continued use of conversational agents (CAs). Given recent advances in natural language processing and deep learning, it is ... [more ▼]

Previous work identified trust as one of the key requirements for adoption and continued use of conversational agents (CAs). Given recent advances in natural language processing and deep learning, it is currently possible to execute simple goal-oriented tasks by using voice. As CAs start to provide a gateway for purchasing products and booking services online, the question of trust and its impact on users’ reliance and agency becomes ever-more pertinent. This paper collates trust-related literature and proposes four design suggestions that are illustrated through example conversations. Our goal is to encourage discussion on ethical design practices to develop CAs that are capable of employing trust-calibration techniques that should, when relevant, reduce the user’s trust in the agent. We hope that our reflections, based on the synthesis of insights from the fields of human-agent interaction, explainable ai, and information retrieval, can serve as a reminder of the dangers of excessive trust in automation and contribute to more user-centred CA design. [less ▲]

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See detailA Contextual Framework for Adaptive User Interfaces: Modelling the Interaction Environment
Dubiel, Mateusz UL; Yilma, Bereket Abera UL; Latifzadeh, Kayhan UL et al

Scientific Conference (2022)

Detailed reference viewed: 387 (23 UL)