Who is Willing to Help Robots? A User Study on Collaboration Attitude

Vanzo, Andrea; Riccio, Francesco; Sharf, Mahmoud; Mirabella, Valeria; Catarci, Tiziana; Nardi, Daniele

doi:10.1007/s12369-019-00571-6

Cited by 7 publications

(4 citation statements)

References 16 publications

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“…Previous studies have considered a range THE ROLE OF PERCEIVED EYE CONTACT IN HELPING ROBOTS of variables. Vanzo and colleagues (Vanzo et al, 2020) showed the relevance of gender, with women reporting higher collaboration attitude compared to men. Additionally, proxemics appears to also play a role: participants showed higher collaboration attitude when the robot approaching them did so with a personal distance compared to an intimate or social one (Vanzo et al, 2020).…”

Section: The Role Of Perceived Eye Contact In Helping Robotsmentioning

confidence: 99%

“…Vanzo and colleagues (Vanzo et al, 2020) showed the relevance of gender, with women reporting higher collaboration attitude compared to men. Additionally, proxemics appears to also play a role: participants showed higher collaboration attitude when the robot approaching them did so with a personal distance compared to an intimate or social one (Vanzo et al, 2020). Furthermore, the context in which a robot acts also appears to influence people's willingness to help, with people expressing higher willingness to help robots in a medical context compared to a security one (Potinteu et al, 2023).…”

Section: The Role Of Perceived Eye Contact In Helping Robotsmentioning

confidence: 99%

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The Role of Perceived Eye Contact in Helping Robots

Potinteu,

Darboven,

Rahmel

et al. 2024

Preprint

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As Human-Robot Interaction (HRI) becomes increasingly prevalent in various domains, understanding the role of non-verbal cues, such as eye contact, in these interactions is of paramount importance. This paper presents the results of a lab study that explores the effect of eye contact and perceived eye contact on response times related to helping behavior. We further investigate the impact of eye contact on attitudes and anthropomorphism. We observed no effect of eye contact on willingness to help. However, participants helped the robot significantly faster when they reported perceived eye contact. Results also point to the relevance of perceived eye contact in positive attitudes towards robots. Despite this, we found no effect of perceived eye contact on anthropomorphism perception. Our results further highlight implications of robot design, specifically the influence of proportionally exaggerated robot eyes and its effect on prosociality toward robots. Overall, this research contributes to the growing body of knowledge in the field of HRI and emphasizes the significance of perceived eye contact in the context of helping behavior.

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Section: The Role Of Perceived Eye Contact In Helping Robotsmentioning

confidence: 99%

Section: The Role Of Perceived Eye Contact In Helping Robotsmentioning

confidence: 99%

The Role of Perceived Eye Contact in Helping Robots

Potinteu,

Darboven,

Rahmel

et al. 2024

Preprint

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“…Other works that investigate human helpfulness study human responses to help-seeking behavior. These works have revealed that humans are more likely to help robots that ask politely [42], provide justifications [6], indicate urgency [9], require less help [38], display emotion [13], offer people desired items [3], maintain appropriate interpersonal distance [46], establish smooth communication with the person [47], and are actively doing tasks for the person [1]. Others showed that humans are less likely to help robots while they are doing a primary task [26,18] or if they have been exposed to robot failures [33].…”

Section: B Human Responses To Help-seeking Behaviormentioning

confidence: 99%

“…One potential negative impact is perpetuating gender bias. Research has found that women tend to be, or are expected to be, more altruistic, prosocial, or unselfish than men [4,16,24,15], a trend that has been mirrored with humans helping robots [46]. Therefore, our robot's behavior-asking for help from humans who are believed to be helpful-could result in disproportionately burdening women with providing help.…”

Section: Broader Impactsmentioning

confidence: 99%

Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning

Nanavati¹,

Mavrogiannis²,

Weatherwax³

et al. 2021

Robotics: Science and Systems XVII

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Robots deployed in human-populated spaces often need human help to effectively complete their tasks. Yet, a robot that asks for help too frequently or at the wrong times may cause annoyance, and a robot that asks too infrequently may be unable to complete its tasks. In this paper, we present a model of humans' helpfulness towards a robot in an office environment, learnt from online user study data. Our key insight is that effectively planning for a task that involves bystander help requires disaggregating individual and contextual factors and explicitly reasoning about uncertainty over individual factors. Our model incorporates the individual factor of latent helpfulness and the contextual factors of human busyness and robot frequency of asking. We integrate the model into a Bayes-Adaptive Markov Decision Process (BAMDP) framework and run a user study that compares it to baseline models that do not incorporate individual or contextual factors. The results show that our model significantly outperforms baseline models by a factor of 1.5X, and it does so by asking for help more effectively: asking 1.2X times less while still receiving more human help on average. p ask Human 3 Human 1 tions help it. e model.

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Scoping Review on AI as a Driver for Industry

Sousa,

Rocha

et al. 2023

Studies in Systems, Decision and Control

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Who is Willing to Help Robots? A User Study on Collaboration Attitude

Cited by 7 publications

References 16 publications

The Role of Perceived Eye Contact in Helping Robots

The Role of Perceived Eye Contact in Helping Robots

Modeling Human Helpfulness with Individual and Contextual Factors for Robot Planning

Scoping Review on AI as a Driver for Industry

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