Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.4
Journals
IJERPH
Special Issues
Designing Human-Robot Interaction Based on Human Personality
ijerph-logo
Submit to IJERPH Review for IJERPH Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Designing Human-Robot Interaction Based on Human Personality

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Digital Health".

Deadline for manuscript submissions: closed (31 January 2021) | Viewed by 7219

Special Issue Editors

Dr. Jangwoon Park

E-Mail Website
Guest Editor
Department of Engineering, Texas A&M University - Corpus Christi, 6300 Ocean Drive, Corpus Christi, TX 78412, USA
Interests: automobile ergonomics; aging in place technology; human-robot interaction; human automation interaction; user-centered product design; occupational biomechanics; engineering anthropometry; statistical modeling; digital human modeling & simulation; physiological measurement and analysis; obstructive sleep apnea (OSA); human personality and speech
Dr. Jaehyun Park

E-Mail Website
Guest Editor
Department of Industrial & Management Engineering, Incheon National University, Incheon 22012, Republic of Korea
Interests: HCI; UX; UI
Special Issues, Collections and Topics in MDPI journals
Dr. Jungyoon Kim

E-Mail Website
Guest Editor
Department of Computer Science, Kent State University, Kent, OH 44242, USA
Interests: smart health and wellbeing; real-time cardiovascular disease; stress monitoring; physiological sensor design; intelligent analytics for decision supports; environmental monitoring and assessment; air quality monitoring; ubiquitous computing; embedded system design; energy efficient processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Social robots are currently being developed to improve the quality of life of people in terms of cognitive care, rehabilitation, and companionship. For example, since humans are emotional creatures and respond more agreeably to similar personality types, robots would need a a more intuitive way to capture user’s personal characteristics and match itself toward the user’s personal characteristics for better human-robot interactions.

This special issue aims to understand human personality for designing better human-robot interaction (HRI). Articles should target quantitative analysis of human personality using objective as well as subjective data. The data can be collected directly through facial movement, speech, sound, gesture, bio-signals, or can be collected in a manner of evaluation using well-made scales. The articles that can characterize human personality for design HRI are welcome. Specifically, this issue is intended to publish an advanced research in the field of human-robot interaction, human-AI interaction.

Prof. Dr. Jangwoon Park
Prof. Dr. Jaehyun Park
Prof. Dr. Jungyoon Kim
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • human-robot interaction
  • socially assistive robots
  • human personality
  • human factors and ergonomics
  • human-computer interaction
  • artificial intelligent
  • healthcare technology

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 2256 KiB  
Article
Differences in Interactions with a Conversational Agent
by Young Hoon Oh, Kyungjin Chung and Da Young Ju
Int. J. Environ. Res. Public Health 2020, 17(9), 3189; https://doi.org/10.3390/ijerph17093189 - 04 May 2020
Cited by 16 | Viewed by 3294
Abstract
Recent technological advances introduced conversational agents into homes. Many researchers have investigated how people utilize and perceive them. However, only a small number of studies have focused on how older adults interact with these agents. This study presents a 14-day user study of [...] Read more.
Recent technological advances introduced conversational agents into homes. Many researchers have investigated how people utilize and perceive them. However, only a small number of studies have focused on how older adults interact with these agents. This study presents a 14-day user study of 19 participants who experienced a conversational agent in a real-life environment. We grouped them into two groups by age and compared their experiences. From a log study and semi-structured interviews, we identified several differences between the two groups. Compared to younger adults, older adults used the agent more. They used it primarily for listening to music and reported satisfaction with it. Younger adults mainly used utility skills like weather report checks and setting of alarms, which streamlined their daily lives. Moreover, older adults tended to view the agent as a companion, while younger adults saw it as a tool. Based on these empirical findings, we suggest that conversational agents should be designed with consideration of the different usage patterns and perceptions across age groups. Full article
(This article belongs to the Special Issue Designing Human-Robot Interaction Based on Human Personality)
►▼ Show Figures

Figure 1

12 pages, 804 KiB  
Article
Identification of Speech Characteristics to Distinguish Human Personality of Introversive and Extroversive Male Groups
by Jangwoon Park, Sinae Lee, Kimberly Brotherton, Dugan Um and Jaehyun Park
Int. J. Environ. Res. Public Health 2020, 17(6), 2125; https://doi.org/10.3390/ijerph17062125 - 23 Mar 2020
Cited by 6 | Viewed by 3206
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 [...] Read more.
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’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’s behaviors toward a user’s personality estimated. Full article
(This article belongs to the Special Issue Designing Human-Robot Interaction Based on Human Personality)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop