The evaluation of different roles for domestic social robots

Graaf, Maartje M.A. de; Allouch, Somaya Ben

doi:10.1109/roman.2015.7333594

Cited by 25 publications

(6 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Additionally, the category of AI produced highly diverse drawings, ranging from fullyembodied robots to abstract networks. These findings support earlier research suggesting that a robot's appearance should match its intended application domain (Goetz, Kiesler, & Powers, 2003;Graaf & Ben Allouch, 2015).…”

Section: Discussionsupporting

confidence: 89%

“…This may indicate that people's expectations for generic and household robots include some humanoid features, but perhaps not as many as a near human-looking android. A similar tension was identified in the study by de Graaf and Ben Allouch (2015), which found that although people favored a humanoid appearance for a household robot, they expressed that robots should be easily distinguishable from humans. Thus, robot developers will want to consider the level of human-likeness of robot appearance in their designs, which might be dependent on application domain.…”

Section: Discussionsupporting

confidence: 65%

See 1 more Smart Citation

What Does A Robot Look Like?: A Multi-Site Examination of User Expectations About Robot Appearance

Phillips

Ullman

Graaf

et al. 2017

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

Robot design is a critical component of human-robot interaction. A robot’s appearance shapes people’s expectations of that robot, which in turn affect human-robot interaction. This paper reports on an exploratory analysis of 155 drawings of robots that were collected across three studies. The purpose was to gain a better understanding of people’s a priori expectations about the appearance of robots across a variety of robot types (household, military, humanoid, generic, and AI). The findings suggest that people’s visualizations of robots have common features that can be grouped into five broad components. People seem to distinguish between human-like and machine-like robots, with a default visualization of robots having a human-like appearance. In addition, expectations about robot appearance may be dependent on application domain.

show abstract

Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 65%

What Does A Robot Look Like?: A Multi-Site Examination of User Expectations About Robot Appearance

Phillips

Ullman

Graaf

et al. 2017

Proceedings of the Human Factors and Ergonomics Society Annual

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the stimuli consisted of silhouettes representing only humanoid robots. From our previous work [18], [20] we have learned that people's evaluations of robots differentiate between embodiments or appearances. Therefore, replication of our study is necessary with different robotic appearances.…”

Section: Discussionmentioning

confidence: 99%

What are people's associations of domestic robots?: Comparing implicit and explicit measures

Graaf

Allouch

Lutfi

2016

2016 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN)

Self Cite

View full text Add to dashboard Cite

The acceptability of robots in homes does not depend solely on the practical benefits they may provide, but also on complex relationships between cognitive, affective and emotional components of people's associations of and attitudes towards robots. This important area of research mainly relies on explicit measures, and alternative measures are rather unexplored. We therefore studied both implicit and explicit associations of robots, and found inconsistent findings between implicit and explicit measures. Our findings speak in favor of the proposition that people are actually more negative about robots than they consciously express. Since associations play an important role when people form attitudes towards robots we stress that caution when researchers and designers solely rely on explicit measures in their research.

show abstract

“…Previous studies on the adoption of robots have also shown that a robot's appearance has a positive impact on user evaluation when it matches the task that the robot is designed to perform (Smith et al, 2016). De Graaf and Allouch (2015) showed that robots with zoomorphic appearances (i.e., having appearances resembling actual animals) are considered more suitable for companion roles, whereas those with utilitarian appearances (i.e., having appearances of machines used for specific functions) are more suitable for butler roles. These results imply that an AI robot's appearance and the type of benefit they intend to provide needs to be compatible for the ease of their adoption.…”

Section: Literature Reviewmentioning

confidence: 99%

The effect of artificial intelligence (AI) robot characteristics and dialectical thinking on AI robot adoption intention

Kim

Hwang

Lee

et al. 2023

J of Consumer Behaviour

View full text Add to dashboard Cite

Artificial intelligence (AI) is an essential strategic element for many industries. Practitioners are exploring ways to incorporate AI into their products, services, and processes, as it transforms everyday life. Recent studies have increasingly examined how consumers respond to various forms of AI robots. This study adds to the existing literature by investigating the factors that drive consumers to adopt AI robots and the underlying psychological processes. Through three studies, we show that consumers' perceived congruence in an AI robot plays an important role in determining their adoption intention for the AI robot. We further demonstrate that such a perception of congruence is jointly determined by the AI robot's benefit type and appearance familiarity. The findings suggest that consumers are more inclined to adopt an AI robot when they are designed to provide hedonic benefits and resembles real‐life objects. By contrast, an AI robot designed for utilitarian benefits are more likely to be adopted when it has the appearance of a machine. In addition, we show that perception of fit mediates this joint effect. Furthermore, we show that the effect of congruence perception on adoption intention is attenuated when consumers have a higher level of dialectical thinking. This study discusses both the theoretical and practical implications.

show abstract

The evaluation of different roles for domestic social robots

Cited by 25 publications

References 26 publications

What Does A Robot Look Like?: A Multi-Site Examination of User Expectations About Robot Appearance

What Does A Robot Look Like?: A Multi-Site Examination of User Expectations About Robot Appearance

What are people's associations of domestic robots?: Comparing implicit and explicit measures

The effect of artificial intelligence (AI) robot characteristics and dialectical thinking on AI robot adoption intention

Contact Info

Product

Resources

About