6,278 research outputs found
The use of UTAUT and Post Acceptance models to investigate the attitude towards a telepresence robot in an educational setting
(1) Background: In the last decade, various investigations into the field of robotics have created several opportunities for further innovation to be possible in student education. However, despite scientific evidence, there is still strong scepticism surrounding the use of robots in some social fields, such as personal care and education; (2) Methods: In this research, we present a new tool named: HANCON model that was developed merging and extending the constructs of two solid and proven models: the Unified Theory of Acceptance and Use of Technology (UTAUT) model to examine the factors that may influence the decision to use a telepresence robot as an instrument in educational practice, and the Post Acceptance Model to evaluate acceptability after the actual use of a telepresence robot. The new tool is implemented and used to study the acceptance of a Double telepresence robot by 112 pre-service teachers in an educational setting; (3) Results: The analysis of the experimental results predicts and demonstrate a positive attitude towards the use of telepresence robot in a school setting and confirm the applicability of the model in an educational context; (4) Conclusions: The constructs of the HANCON model could predict and explain the acceptance of social telepresence robots in social contexts
An empirical framework for human-robot proxemics
The work described in this paper was conducted within the EU Integrated Projects COGNIRON ("The Cognitive Robot Companion") and LIREC (LIving with Robots and intEractive Companions) and was funded by the European Commission under contract numbers FP6- 002020 and FP7-215554.An empirical framework for Human-Robot (HR) proxemics is proposed which shows how the measurement and control of interpersonal distances between a human and a robot can be potentially used by the robot to interpret, predict and manipulate proxemic behaviour for Human-Robot Interactions (HRIs). The proxemic framework provides for incorporation of inter-factor effects, and can be extended to incorporate new factors, updated values and results. The framework is critically discussed and future work proposed
A systematic review of attitudes, anxiety, acceptance, and trust towards social robots
As social robots become more common, there is a need to understand how people perceive and interact with such technology. This systematic review seeks to estimate peopleâs attitudes toward, trust in, anxiety associated with, and acceptance of social robots; as well as factors that are associated with these beliefs. Ninety-seven studies were identified with a combined sample of over 13,000 participants and a standardized score was computed for each in order to represent the valence (positive, negative, or neutral) and magnitude (on a scale from 1 to ââ1) of peopleâs beliefs about robots. Potential moderating factors such as the robotsâ domain of application and design, the type of exposure to the robot, and the characteristics of potential users were also investigated. The findings suggest that people generally have positive attitudes towards social robots and are willing to interact with them. This finding may challenge some of the existing doubt surrounding the adoption of robotics in social domains of application but more research is needed to fully understand the factors that influence attitudes
MODELING THE CONSUMER ACCEPTANCE OF RETAIL SERVICE ROBOTS
This study uses the Computers Are Social Actors (CASA) and domestication theories as the underlying framework of an acceptance model of retail service robots (RSRs). The model illustrates the relationships among facilitators, attitudes toward Human-Robot Interaction (HRI), anxiety toward robots, anticipated service quality, and the acceptance of RSRs. Specifically, the researcher investigates the extent to which the facilitators of usefulness, social capability, the appearance of RSRs, and the attitudes toward HRI affect acceptance and increase the anticipation of service quality. The researcher also tests the inhibiting role of pre-existing anxiety toward robots on the relationship between these facilitators and attitudes toward HRI. The study uses four methodological strategies: (1) incorporating a focus group and personal interviews, (2) using a presentation method of video clip stimuli, (3) empirical data collection and multigroup SEM analyses, and (4) applying three key product categories for the modelâs generalizationâ fashion, technology (mobile phone), and food service (restaurant). The researcher conducts two pretests to check the survey items and to select the video clips. The researcher conducts the main test using an online survey of US consumer panelists (n = 1424) at a marketing agency.
The results show that usefulness, social capability, and the appearance of a RSR positively influence the attitudes toward HRI. The attitudes toward HRI predict greater anticipation of service quality and the acceptance of the RSRs. The expected quality of service tends to enhance the acceptance. The relationship between social capability and attitudes toward HRI is weaker when the anxiety toward robots is higher. However, when the anxiety is higher, the relationship between appearance and the attitudes toward HRI is stronger than those with low anxiety.
This study contributes to the literature on the CASA and domestication theories and to the human-computer interaction that involves robots or artificial intelligence. By considering social capability, humanness, intelligence, and the appearance of robots, this model of RSR acceptance can provide new insights into the psychological, social, and behavioral principles that guide the commercialization of robots. Further, this acceptance model could help retailers and marketers formulate strategies for effective HRI and RSR adoption in their businesses
A Qualitative Study on Co-designing a Domestic Robot with Senior People: Attitudinal Differences Among the Profiles of Boomers and the Silent Generation
L'integrazione dei robot domestici nella vita degli anziani riflette una
possibile soluzione per fornire un'adeguata assistenza a una popolazione sempre piĂč anziana. Tuttavia, non Ăš ancora ben chiaro come gli anziani percepiscano i robot domestici e se siano effettivamente disposti ad adottarli nelle loro case. Questo articolo analizza gli atteggiamenti degli anziani nei confronti dei robot domestici, mostrando i risultati di uno studio qualitativo condotto durante un'esperienza di co-progettazione di un robot prototipo, su un campione sociologico di 30 ultrasessantacinquenni residenti a Genova, in Italia. I risultati mostrano come gli atteggiamenti nei confronti del robot differiscono a causa di caratteristiche individuali e strutturali, ma soprattutto per fattori generazionali
e culturali, in particolare tra i baby boomer piĂč giovani e gli intervistati piĂč anziani. In conclusione, il nostro studio fornisce suggerimenti interessanti per progettisti e ingegneri per considerare le differenze generazionali come fattori predittivi
di accettazione dei robot domestici da parte degli utenti senior.Integrating domestic robots into the lives of older adults reflects a
possible solution to provide adequate caregiving to an increasingly ageing
population. Still, it is unclear how older adults perceive domestic robots and
whether they are willing to adopt them into their homes. This paper analyses
the attitudes of older adults towards domestic robots by proving the results of
a qualitative study conducted during an experience of co-designing a robotic
prototype, addressing 30 community-dwelling over-65s who are residents in
Genoa, Italy. Our results show how attitudes toward the robot differ both due
to individual and structural characteristics, but especially owing to generational
and cultural factors, particularly between younger-old Baby Boomers and older old respondents. In conclusion, our study provides interesting suggestions
for designers and engineers to consider generational differences as predictive
factors of acceptance of domestic robots by senior end-users
Not Only WEIRD but "Uncanny"? A Systematic Review of Diversity in Human-Robot Interaction Research
Critical voices within and beyond the scientific community have pointed to a
grave matter of concern regarding who is included in research and who is not.
Subsequent investigations have revealed an extensive form of sampling bias
across a broad range of disciplines that conduct human subjects research called
"WEIRD": Western, Educated, Industrial, Rich, and Democratic. Recent work has
indicated that this pattern exists within human-computer interaction (HCI)
research, as well. How then does human-robot interaction (HRI) fare? And could
there be other patterns of sampling bias at play, perhaps those especially
relevant to this field of study? We conducted a systematic review of the
premier ACM/IEEE International Conference on Human-Robot Interaction
(2006-2022) to discover whether and how WEIRD HRI research is. Importantly, we
expanded our purview to other factors of representation highlighted by critical
work on inclusion and intersectionality as potentially underreported,
overlooked, and even marginalized factors of human diversity. Findings from 827
studies across 749 papers confirm that participants in HRI research also tend
to be drawn from WEIRD populations. Moreover, we find evidence of limited,
obscured, and possible misrepresentation in participant sampling and reporting
along key axes of diversity: sex and gender, race and ethnicity, age, sexuality
and family configuration, disability, body type, ideology, and domain
expertise. We discuss methodological and ethical implications for recruitment,
analysis, and reporting, as well as the significance for HRI as a base of
knowledge.Comment: Published at IJSR/SORO, Int J of Soc Robotics (2023
Examining the effects of information sources on individual earning rates in the South Korean stock market
Since the introduction of the Korea Stock Exchange, individual investors have been some of the most important players in the stock market. With the subsequent introduction of the Internet and online trading systems in South Korea in 1997, the participation of individual investors in the Korean stock market has greatly expanded.
However, few studies have investigated their activities and earning rates. To address this research shortcoming, this study investigates the antecedents of individual investorsâ earning rates in the Korea stock market by employing multiple constructs of information channels and perceived usefulness. Structural equation modelling (SEM) analysis of survey data collected from 1555 individual investors reveals that the information quality of online trading systems and of companiesâ public announcements largely determines the individual investorsâ perceptions of their usefulness, whereas the information quality of two Internet channels (Internet news and other web pages) only moderately affects perceived usefulness. Additionally, the information quality of two TV channels significantly affects perceived usefulness, but the effects are weaker than for the other channels. In addition, our findings confirm a close relationship between the perceived usefulness of information and individual investorsâ earning rates. Last, we discuss the implications and present suggestions for
future research
- âŠ