1 |
Improving active listening behaviours of embodied conversational agents (ECA) from a UX perspective
|
|
|
|
BASE
|
|
Show details
|
|
2 |
Comparing the Effectiveness of Speech and Physiological Features in Explaining Emotional Responses during Voice User Interface Interactions
|
|
|
|
In: Applied Sciences; Volume 12; Issue 3; Pages: 1269 (2022)
|
|
BASE
|
|
Show details
|
|
3 |
Crescer em Silêncio: Desenvolvimento de uma app de LGP destinada a crianças ouvintes
|
|
Moreno, Débora Silva. - : Instituto Politécnico de Lisboa, Escola Superior de Comunicação Social, 2021
|
|
BASE
|
|
Show details
|
|
4 |
Optimizing the existing video conferencing platforms used in academia to make them more academic-friendly.
|
|
|
|
In: Graduate Theses and Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
5 |
Analysis of Unsatisfying User Experiences and Unmet Psychological Needs for Virtual Reality Exergames Using Deep Learning Approach
|
|
|
|
In: Information ; Volume 12 ; Issue 11 (2021)
|
|
BASE
|
|
Show details
|
|
6 |
Empathy Mapping: Bridging cultural and linguistic divides in international online education
|
|
|
|
In: Teaching Culturally and Linguistically Diverse International Students in Open or Online Learning Environments: A Research Symposium (2021)
|
|
BASE
|
|
Show details
|
|
7 |
Cross-Domain Polarity Models to Evaluate User eXperience in E-learning
|
|
|
|
BASE
|
|
Show details
|
|
8 |
The Rhetorical Mediator: Understanding Agency In Indigenous Translation And Interpretation Through Indigenous Approaches To Ux
|
|
|
|
In: Open Access Theses & Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
9 |
The Role of Translation in Multilingual User Experience
|
|
|
|
In: Open Access Theses & Dissertations (2021)
|
|
BASE
|
|
Show details
|
|
10 |
Designing and using gamification elements to improve students’ user experience in a video-based mobile language learning app
|
|
Galle, Thor. - : KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020
|
|
BASE
|
|
Show details
|
|
11 |
Identification of Speech Characteristics to Distinguish Human Personality of Introversive and Extroversive Male Groups
|
|
|
|
In: International Journal of Environmental Research and Public Health ; Volume 17 ; Issue 6 (2020)
|
|
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.
|
|
Keyword:
human-robot interaction; linguistics; personality; pitch; reaction time; sound pressure; speech; usability; user experience
|
|
URL: https://doi.org/10.3390/ijerph17062125
|
|
BASE
|
|
Hide details
|
|
12 |
An Exploratory Analysis of the Implementation and Use of an Intelligent Platform for Learning in Primary Education
|
|
|
|
In: Applied Sciences ; Volume 10 ; Issue 3 (2020)
|
|
BASE
|
|
Show details
|
|
13 |
User Experience of Alexa when controlling music - comparison of face and construct validity of four questionnaires
|
|
|
|
In: Fraunhofer IIS (2020)
|
|
BASE
|
|
Show details
|
|
14 |
Interactive Virtual Training: Implementation for Early Career Teachers to Practice Classroom Behavior Management
|
|
|
|
In: FIU Electronic Theses and Dissertations (2020)
|
|
BASE
|
|
Show details
|
|
15 |
Understanding User Experience: An Essential Component within Academic Support Resources at the University of Minnesota
|
|
|
|
BASE
|
|
Show details
|
|
16 |
Artificial Intelligence and Interface Design for Everyday Products
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Ukko opastau lapsie aijan - Serious games as tools for teaching Viena Karelian to Finns? ...
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Ukko opastau lapsie aijan - Serious games as tools for teaching Viena Karelian to Finns? ...
|
|
|
|
BASE
|
|
Show details
|
|
19 |
LSTM vs Random Forest for Binary Classification of Insurance Related Text ; LSTM vs Random Forest för binär klassificering av försäkringsrelaterad text
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Usability of Automatic Speech Recognition Systems for Individuals with Speech Disorders: Past, Present, Future, and A Proposed Model
|
|
|
|
BASE
|
|
Show details
|
|
|
|