Evaluating Subjective Aspects of Hci on an Example of a Non-Task Oriented Conversational System

Abstract:Recent developments and studies in brain-computer interface (BCI) technologies have facilitated emotion detection and classification. Many BCI studies have sought to investigate, detect, and recognize participants' emotional affective states. The applied domains for these studies are varied, and include such fields as communication, education, entertainment, and medicine. To understand trends in electroencephalography (EEG)-based emotion recognition system research and to provide practitioners and researchers with insights into and future directions for emotion recognition systems, this study set out to review published articles on emotion detection, recognition, and classification. The study also reviews current and future trends and discusses how these trends may impact researchers and practitioners alike. We reviewed 285 articles, of which 160 were refereed journal articles that were published since the inception of affective computing research. The articles were classified based on a scheme consisting of two categories: research orientation and domains/applications. Our results show considerable growth of EEG-based emotion detection journal publications. This growth reflects an increased research interest in EEG-based emotion detection as a salient and legitimate research area. Such factors as the proliferation of wireless EEG devices, advances in computational intelligence techniques, and machine learning spurred this growth.

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“…They were used to improve behavior, cognition, and emotion regulation. [1,40,95,105,139,194,214,227,282,283] …”

Section: Monitoringmentioning

confidence: 99%

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

et al. 2017

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“…Traditional HCI research focuses on efficiency, effectiveness, satisfaction and product usability, and understanding human emotions and needs when using computers is still quite a neglected issue in HCI design (Dybala, Ptaszynski, Rzepka, & Araki, 2010;Issa & Turk, 2012). Some progress has been made in developing ''affective systems" that are capable of recognizing and appropriately responding to human emotions and behaviours but these have not been adopted by mainstream designers (Lopatovska & Arapakis, 2010).…”

Section: Human-computer Interactionmentioning

confidence: 99%

Using Multidisciplinary Design Principles to Improve the Website Design Process

Karmokar

Singh

Tan

2016

PAJAIS

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An organization's success in e-business is significantly affected by the quality of its website. However, many websites are unable to retain the attention of their customers, arguably because they only cater to some of the needs of their customers. This study adopts a design science approach to develop a new methodology for designing websites that addresses the psychological, sociological, and cognitive needs of individual users. The methodology is based on multidisciplinary principles drawn from the field of design, as they provide a framework for structuring the various concerns of users. This study contributes by developing a website design methodology anchored in users' needs, so that the websites it produces are successful in achieving their goals.

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“…Nakano et al (2006) tried to incorporate both task-oriented and non-taskoriented dialogue functions into a humanoid robot us-ing a multi-expert model. Dybala et al (2010) proposed an evaluation method of subjective features of human-computer interaction using chatbots. Yu et al (2016) proposed a set of conversational strategies to handle possible system breakdowns.…”

Section: Introductionmentioning

confidence: 99%

An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System

Chiba

Nose

Kase³

et al. 2018

Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue

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This paper explores the effect of emotional speech synthesis on a spoken dialogue system when the dialogue is non-task-oriented. Although the use of emotional speech responses has been shown to be effective in a limited domain, e.g., scenario-based and counseling dialogue, the effect is still not clear in the non-task-oriented dialogue such as voice chat. For this purpose, we constructed a simple dialogue system with example-and rule-based dialogue management. In the system, two types of emotion labeling with emotion estimation are adopted, i.e., system-driven and user-cooperative emotion labeling. We conducted a dialogue experiment where subjects evaluate the subjective quality of the system and the dialogue from multiple aspects such as richness of the dialogue and impression of the agent. We then analyze and discuss the results and show the advantage of using appropriate emotions for expressive speech responses in the non-task-oriented system.

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Evaluating Subjective Aspects of Hci on an Example of a Non-Task Oriented Conversational System

Cited by 6 publications

References 45 publications

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

Review and Classification of Emotion Recognition Based on EEG Brain-Computer Interface System Research: A Systematic Review

Using Multidisciplinary Design Principles to Improve the Website Design Process

An Analysis of the Effect of Emotional Speech Synthesis on Non-Task-Oriented Dialogue System

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