Differences in effect of robot and screen agent recommendations on human decision-making

This paper proposes a model of technology acceptance that is specifically developed to test the acceptance of assistive social agents by elderly users. The research in this paper develops and tests an adaptation and theoretical extension of the Unified Theory of Acceptance and Use of Technology (UTAUT) by explaining intent to use not only in terms of variables related to functional evaluation like perceived usefulness and perceived ease of use, but also variables that relate to social interaction. The new model was tested using controlled experiment and longitudinal data collected regarding three different social agents at elderly care facilities and at the homes of older adults. The model was strongly supported accounting for 59-79% of the variance in usage intentions and 49-59% of the variance in actual use. These findings contribute to our understanding of how elderly users accept assistive social agents.

show abstract

“…The actual embodiment of the robot was found more appealing than a screen agents virtual embodiment [25,26].…”

Section: Assistive Social Agents In Eldercarementioning

confidence: 99%

Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

Heerink

Kröse

Evers

et al. 2010

Int J of Soc Robotics

860

760

View full text Add to dashboard Cite

show abstract

“…One of the main differences is that social robots share the same physical space and time as humans, which results in several implications. For example, with pointing tasks (deictic gestures) robots have appropriate consistency when referring to 3D space, in contrast, digital agents pointing to real-life objects can lead to inconsistencies between the 3D virtual space and "real" 3D space (Shinozawa, Naya, Yamato, & Kogure, 2005). Furthermore, human communication is influenced by the situation and communication environment.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, human communication is influenced by the situation and communication environment. When the communication partner (robot) is located in the same environment, then humans recognize and interpret communication context faster (Shinozawa, Naya, Yamato, & Kogure, 2005). Additionally, since a robot shares our space it is important that, just like humans, robots should incorporate idle interactions that indicate the robot as being 'alive' (Lee & Kim, 2006), e.g.…”

Section: Introductionmentioning

confidence: 99%

Motions of Robots Matter! The Social Effects of Idle and Meaningful Motions

Cuijpers

Knops

2015

Lecture Notes in Computer Science

View full text Add to dashboard Cite

“…flat screens, wall projections, etc) having no shared access to the three dimensional environment where the interaction is taking place. Surprisingly, there is little research on the effects of displaying 3D ECAs on 2D surfaces on the perception of the agent embodiment and its natural interaction effects [5]. Moreover, 2D displays come with several usually undesirable illusions and effects, such as the Mona Lisa gaze effect.…”

Section: Introductionmentioning

confidence: 99%

Animated Faces for Robotic Heads: Gaze and Beyond

Moubayed

Beskow

Edlund

et al. 2011

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. We introduce an approach to using animated faces for robotics where a static physical object is used as a projection surface for an animation. The talking head is projected onto a 3D physical head model. In this chapter we discuss the different benefits this approach adds over mechanical heads. After that, we investigate a phenomenon commonly referred to as the Mona Lisa gaze effect. This effect results from the use of 2D surfaces to display 3D images and causes the gaze of a portrait to seemingly follow the observer no matter where it is viewed from. The experiment investigates the perception of gaze direction by observers. The analysis shows that the 3D model eliminates the effect, and provides an accurate perception of gaze direction. We discuss at the end the different requirements of gaze in interactive systems, and explore the different settings these findings give access to.

show abstract

Differences in effect of robot and screen agent recommendations on human decision-making

Cited by 163 publications

References 5 publications

Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

Assessing Acceptance of Assistive Social Agent Technology by Older Adults: the Almere Model

Motions of Robots Matter! The Social Effects of Idle and Meaningful Motions

Animated Faces for Robotic Heads: Gaze and Beyond

Contact Info

Product

Resources

About