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Support in-video content searching and result visualization of the flipped classroom ; Stöd sökning av innehåll i video och resultatvisualisering av det flippade klassrummet
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Su, Siyuan. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2022
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Remote Dyslexia Screening for Bilingual Children
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In: Multimodal Technologies and Interaction; Volume 6; Issue 1; Pages: 7 (2022)
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How usable are digital collections for endangered languages? A review
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In: Proceedings of the Linguistic Society of America; Vol 7, No 1 (2022): Proceedings of the Linguistic Society of America; 5219 ; 2473-8689 (2022)
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La fruizione degli ambienti di apprendimento nella didattica dell’italiano L2 ...
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Usability ratings on the MuLiMi platform expressed by Participants ...
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Usability ratings on the MuLiMi platform expressed by Participants ...
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usability ratings for the MuLiMi platform expressed by Examiners ...
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usability ratings for the MuLiMi platform expressed by Examiners ...
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Prototyping Mobile Storytelling Applications for People with Aphasia
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In: Sensors; Volume 22; Issue 1; Pages: 14 (2021)
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Design Proposal for Sign Language Services in TV Broadcasting from the Perspective of People Who Are Deaf or Hard of Hearing
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In: Applied Sciences ; Volume 11 ; Issue 23 (2021)
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Towards Sustainable Use of Machine Translation: Usability and Perceived Quality from the End-User Perspective
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In: Sustainability; Volume 13; Issue 23; Pages: 13430 (2021)
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SentText: A Tool for Lexicon-based Sentiment Analysis in Digital Humanities ...
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La fruizione degli ambienti di apprendimento nella didattica dell’italiano L2
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In: Studi di glottodidattica; V. 6, N. 2 (2021); 36 - 49 ; 1970-1861 (2021)
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Juegos serios en web para la auto-protección y prevención del COVID-19: Desarrollo y pruebas de usabilidad
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 69, 2021 (Ejemplar dedicado a: Participación ciudadana en la esfera digital), pags. 97-111 (2021)
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The Role of Translation in Multilingual User Experience
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In: Open Access Theses & Dissertations (2021)
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Converting raw transcripts into an annotated and turn-aligned TEI-XML corpus: the example of the Corpus of Serbian Forms of Address
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In: Slovenščina 2.0: Empirične, aplikativne in interdisciplinarne raziskave, Vol 9, Iss 1 (2021) (2021)
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Designing and using gamification elements to improve students’ user experience in a video-based mobile language learning app
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Galle, Thor. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
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Identification of Speech Characteristics to Distinguish Human Personality of Introversive and Extroversive Male Groups
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In: International Journal of Environmental Research and Public Health ; Volume 17 ; Issue 6 (2020)
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Abstract:
According to the similarity-attraction theory, humans respond more positively to people who are similar in personality. This observation also holds true between humans and robots, as shown by recent studies that examined human-robot interactions. Thus, it would be conducive for robots to be able to capture the user personality and adjust the interactional patterns accordingly. The present study is intended to identify significant speech characteristics such as sound and lexical features between the two different personality groups (introverts vs. extroverts), so that a robot can distinguish a user&rsquo ; s personality by observing specific speech characteristics. Twenty-four male participants took the Myers-Briggs Type Indicator (MBTI) test for personality screening. The speech data of those participants (identified as 12 introvertive males and 12 extroversive males through the MBTI test) were recorded while they were verbally responding to the eight Walk-in-the-Wood questions. After that, speech, sound, and lexical features were extracted. Averaged reaction time (1.200 s for introversive and 0.762 s for extroversive ; p = 0.01) and total reaction time (9.39 s for introversive and 6.10 s for extroversive ; p = 0.008) showed significant differences between the two groups. However, averaged pitch frequency, sound power, and lexical features did not show significant differences between the two groups. A binary logistic regression developed to classify two different personalities showed 70.8% of classification accuracy. Significant speech features between introversive and extroversive individuals have been identified, and a personality classification model has been developed. The identified features would be applicable for designing or programming a social robot to promote human-robot interaction by matching the robot&rsquo ; s behaviors toward a user&rsquo ; s personality estimated.
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Keyword:
human-robot interaction; linguistics; personality; pitch; reaction time; sound pressure; speech; usability; user experience
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URL: https://doi.org/10.3390/ijerph17062125
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The Limit Effect of Graphic Elements in Video and Augmented Reality on Children’s Listening Comprehension
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In: Applied Sciences ; Volume 10 ; Issue 2 (2020)
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German-Swiss survey on the use of (digital) language resources ...
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