2020
DOI: 10.1007/978-3-030-42307-0_9
|View full text |Cite
|
Sign up to set email alerts
|

Evaluating the User Experience of Human–Robot Interaction

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

1
59
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 34 publications
(60 citation statements)
references
References 45 publications
1
59
0
Order By: Relevance
“…Therefore, it is of major importance when designing and developing robots to systematically evaluate if humans can properly recognize the actions and intentions of robots in order to identify problems of robot usage in various kinds of human environments, e.g., offices, factories, hospitals, museums, and educational settings. The foreseen and increased level of robot participation in everyday human activities obviously emphasizes the role and relevance of systematically evaluating the interaction quality between the human user(s) and the robot(s) from a UX perspective [ 5 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 ]. Indeed, the prominent HRI scholar Dautenhahn [ 68 ] highlights that currently her greatest concern of empirical HRI research is that the field of experimental psychology appears repeatedly to be viewed as the ‘one and only’ and, accordingly, the golden standard method for performing proper HRI work.…”
Section: Introductionmentioning
confidence: 99%
See 3 more Smart Citations
“…Therefore, it is of major importance when designing and developing robots to systematically evaluate if humans can properly recognize the actions and intentions of robots in order to identify problems of robot usage in various kinds of human environments, e.g., offices, factories, hospitals, museums, and educational settings. The foreseen and increased level of robot participation in everyday human activities obviously emphasizes the role and relevance of systematically evaluating the interaction quality between the human user(s) and the robot(s) from a UX perspective [ 5 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 ]. Indeed, the prominent HRI scholar Dautenhahn [ 68 ] highlights that currently her greatest concern of empirical HRI research is that the field of experimental psychology appears repeatedly to be viewed as the ‘one and only’ and, accordingly, the golden standard method for performing proper HRI work.…”
Section: Introductionmentioning
confidence: 99%
“…Dautenhahn [ 68 ] admits that the above suggested HRI research approach does not fit well with the prevailing method paradigm of HRI studies greatly influenced by experimental psychology. Moreover, experimental HRI studies do not provide any explicit suggestions of how to overcome any identified problems in the interaction between humans and robots, and seldom consider the nature of the task(s) carried out, or to what extent the context of usage matters [ 64 ]. Dautenhahn [ 68 ] declares that she personally would like to see more empirical HRI studies that involve more authentic and less trivial interactions between humans and robots as well as encompassing more complex robot behaviors, which are carried out and situated within ecologically valid environments.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Insights into trust in automated demand-side management [21], novel interaction forms [68], end-user programming for smart home configuration [52], long-term user experience of automated ambient technology [23], and privacy aspects [75] Active and assisted living Many solutions for social robots and assistive functions have been introduced and investigated, but roll out on a large scale is pending Long-term acceptance aspects [13], individual differences in trust [61], human-robot interaction [37], and contextual design of digital assistants [2] approaches should feed into further instances of the above introduced preliminary design space that could help shape everyday automation experience into something desirable for the future.…”
Section: Manufacturingmentioning
confidence: 99%