Exploring Machine-like Behaviors for Socially Acceptable Robot Navigation in Elevators

Gallo, Danilo; Gonzalez-Jimenez, Shreepriya; Grasso, Antonietta; Boulard, Cécile; Colombino, Tommaso

doi:10.1109/hri53351.2022.9889412

Cited by 4 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For the "natural" behaviour, the robot joined the rear of the cluster of waiting people and used a (weak) first come, first served policy that was similar to what was observed when humans wait for elevators. People in the study felt the robot's "machine-like" behaviour caused less confusion than the robot's "natural, " human-like behaviour [14].…”

Section: Studies Inspired By Etho-robotics Human and Artificial Behav...mentioning

confidence: 99%

“…In some situations, it may be better the robot behaves in a artificial, machine-like manner. For example, one study [14] had a robot with two behaviours to wait for an elevator in the lobby of a building along with people. In the "machine-like" behaviour, the robot waited at a designated spot and only entered the elevator after everyone else had a spot.…”

Section: Studies Inspired By Etho-robotics Human and Artificial Behav...mentioning

confidence: 99%

“…The typology can also be used to see differences in behaviour between conditions in a study (and possibly improve the internal validity of an experiment). For example, in the study of the robot waiting for an elevator from Gallo et al [14], the origins of the "machine-like" behaviour is artificial, and the "human-like" behaviour origin is biological, but the other properties of both behaviours are intentional, explicit, honest, and referential. Using the typography can show how changing one component of the communicative signal can have an effect on the behaviour participants prefer in a given situation.…”

Section: Using the Typology In Existing Studiesmentioning

confidence: 99%

See 2 more Smart Citations

Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction

Holthaus,

Schulz,

Lakatos

et al. 2023

Preprint

View full text Add to dashboard Cite

We present a new typology for classifying signals from robots when they communicate with humans. For inspiration, we use ethology, the study of animal behaviour and previous efforts from literature as guides in defining the typology. The typology is based on communicative signals that consist of five properties: the origin where the signal comes from, the deliberateness of the signal, the signal's reference, the genuineness of the signal, and its clarity (i.e., how implicit or explicit it is). Using the accompanying worksheet, the typology is straightforward to use to examine communicative signals from previous human-robot interactions and provides guidance for designers to use the typology when designing new robot behaviours. CCS CONCEPTS• Human-centered computing → Interaction paradigms; Interaction design theory, concepts and paradigms; Interaction design process and methods.

show abstract

Section: Studies Inspired By Etho-robotics Human and Artificial Behav...mentioning

confidence: 99%

Section: Studies Inspired By Etho-robotics Human and Artificial Behav...mentioning

confidence: 99%

Section: Using the Typology In Existing Studiesmentioning

confidence: 99%

See 1 more Smart Citation

Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction

Holthaus,

Schulz,

Lakatos

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Gallo et al [130] proposed the machine-like approach for the design of robot behavior policies that effectively accomplish tasks in an indoor elevator-sharing scenario without being disruptive. Alternatively, Lin et al [109] discussed the social appropriateness of lining up for an elevator in the context of deploying a mobile remote presence.…”

Section: Avoiding Crossing the Activity Spaces (Req 43)mentioning

confidence: 99%

Bridging Requirements, Planning, and Evaluation: A Review of Social Robot Navigation

Karwowski,

Szynkiewicz,

Niewiadomska-Szynkiewicz

2024

Sensors

View full text Add to dashboard Cite

Navigation lies at the core of social robotics, enabling robots to navigate and interact seamlessly in human environments. The primary focus of human-aware robot navigation is minimizing discomfort among surrounding humans. Our review explores user studies, examining factors that cause human discomfort, to perform the grounding of social robot navigation requirements and to form a taxonomy of elementary necessities that should be implemented by comprehensive algorithms. This survey also discusses human-aware navigation from an algorithmic perspective, reviewing the perception and motion planning methods integral to social navigation. Additionally, the review investigates different types of studies and tools facilitating the evaluation of social robot navigation approaches, namely datasets, simulators, and benchmarks. Our survey also identifies the main challenges of human-aware navigation, highlighting the essential future work perspectives. This work stands out from other review papers, as it not only investigates the variety of methods for implementing human awareness in robot control systems but also classifies the approaches according to the grounded requirements regarded in their objectives.

show abstract

Less Than Human: How Different Users of Telepresence Robots Expect Different Social Norms

Lin,

Rhim,

Moon

2023

2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

View full text Add to dashboard Cite

Exploring Machine-like Behaviors for Socially Acceptable Robot Navigation in Elevators

Cited by 4 publications

References 25 publications

Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction

Communicative Robot Signals: Presenting a New Typology for Human-Robot Interaction

Bridging Requirements, Planning, and Evaluation: A Review of Social Robot Navigation

Less Than Human: How Different Users of Telepresence Robots Expect Different Social Norms

Contact Info

Product

Resources

About