Levels of embodiment

Fischer, Kerstin; Lohan, Katrin Solveig; Foth, Kilian A.

doi:10.1145/2157689.2157839

Cited by 68 publications

(2 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A subordinate role can signal that the assistant wants to learn from or be instructed by the user and is the least complex to implement. It can encourage empathy [33] and selfefficacy [5,15]. The peer meets the user on equal footing.…”

Section: Relation and Habituationmentioning

confidence: 99%

Designing Dynamic Robot Characters to Improve Robot-Human Communications

Oechsner¹,

Ullrich²

2023

Preprint

View full text Add to dashboard Cite

Socially Assistive Robots navigate highly sensible environments, which place high demands on safety and communication with users. The reasoning behind an SAR's actions must be transparent at any time to earn users' trust and acceptance. Although different communication modalities have been extensively studied, there is a lack of long-term studies investigating changes in users' communication needs over time. Considering two decades of research in Human-Robot Communication, we formulate the need to design dynamic robot personalities to unveil the full potential of SARs. CCS CONCEPTS• Human-centered computing → Human computer interaction (HCI); • Computer systems organization → Robotics.

show abstract

Section: Relation and Habituationmentioning

confidence: 99%

Designing Dynamic Robot Characters to Improve Robot-Human Communications

Oechsner¹,

Ullrich²

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…One advantage is the potential for a robot's presence to positively influence people's behavior (Lee et al 2006). Previous research has demonstrated that the physical presence, embodiment, and appearance of robots can enhance user acceptability (Li 2015;Fischer et al 2012;Slyper and Hodgins 2012). In a study conducted by Broadbent et al (2014), robots such as IrobiQ and Cafero were placed in care homes to serve as medication reminders for older adults.…”

Section: Social Robots For Health Care Supportmentioning

confidence: 99%

Exploring the Potential of Social Robots in Supporting Home Medication Management

Ahmad,

Toro,

Dias

et al. 2023

Electronic Workshops in Computing

View full text Add to dashboard Cite

Taking medications as prescribed can be difficult, especially for older adults who often need to remember multiple doses. While technology and other interventions exist to help people and their caregivers with medication management, most of them are unreliable when dealing with complex medication regimens. Previous research shows that robots could provide reminders as well as social and emotional support, offering a promising alternative for assisting both older adults living independently and caregivers helping them manage complex medication regimens. In this paper, we explore how social robots could support homebased medication management. We present the results of 6 workshops conducted with 10 informal and 8 formal caregivers, and 10 interviews conducted with older adults to further understand their experiences and challenges with medication management and the potential role of robots to support them. We identify tensions between practical challenges of keeping robots in home settings (e.g., maintenance, cost) and their potential benefits supporting both older adults and caregivers (e.g., providing medication and emotional support, and monitoring patients). Based on our findings, we provide discuss several implications for the design of social robots that need to be taken into account before deploying robots in home settings.

show abstract

The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI

Borau

Otterbring

Laporte

et al. 2021

Psychology and Marketing

148

View full text Add to dashboard Cite

Companies have repeatedly launched Artificial Intelligence (AI) products such as intelligent chatbots and robots with female names, voices, and bodies. Previous research posits that people intuitively favor female over male bots, mainly because female bots are judged as warmer and more likely to experience emotions. We present five online studies, including four preregistered, with a total sample of over 3,000 participants that go beyond this longstanding perception of femininity. Because warmth and experience (but not competence) are seen as fundamental qualities to be a full human but are lacking in machines, we argue that people prefer female bots because they are perceived as more human than male bots. Using implicit, subtle, and blatant scales of humanness, our results consistently show that women (Studies 1A and 1B), female bots (Studies 2 and 3), and female chatbots (Study 4) are perceived as more human than their male counterparts when compared with non‐human entities (animals and machines). Study 4 investigates explicitly the acceptance of gendered algorithms operated by AI chatbots in a health context. We found that the female chatbot is preferred over the male chatbot because it is perceived as more human and more likely to consider our unique needs. These results highlight the ethical quandary faced by AI designers and policymakers: Women are said to be transformed into objects in AI, but injecting women's humanity into AI objects makes these objects seem more human and acceptable.

show abstract

Levels of embodiment

Cited by 68 publications

References 27 publications

Designing Dynamic Robot Characters to Improve Robot-Human Communications

Designing Dynamic Robot Characters to Improve Robot-Human Communications

Exploring the Potential of Social Robots in Supporting Home Medication Management

The most human bot: Female gendering increases humanness perceptions of bots and acceptance of AI

Contact Info

Product

Resources

About