Analysis of Elderly Users’ Preferences and Expectations on Service Robot’s Personality, Appearance and Interaction

Kleanthous, Styliani; Christophorou, Chrıstophoros; Tsiourti, Christiana; Dantas, Carina; Wintjens, Rachelle; Samaras, George; Christodoulou, Eleni

doi:10.1007/978-3-319-39949-2_4

Cited by 13 publications

(18 citation statements)

References 10 publications

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“…Across all studies sampled, the percentage of women represented in this review is 57% and the percentage of men is 43%. Of all the studies, three did not provide gender information [10,15,31] while one only stated the majority [25]. Notably, there was significant variation among studies, with some having more than 70% male samples and others having more than 70% female samples.…”

Section: Gendermentioning

confidence: 99%

“…Alternative scales varied significantly among the remaining non-Big-Five studies, with two using scales either from or based on [46] two using the NEO-EFI personality inventory, and one using the Eysenck Personality Inventory (EPI). The remaining studies used different scales from one another, and notably one study [25] failed to provide details on the scale employed. Across all studies the most common dimension of personality studied was introversion vs. extraversion, which was measured in 13 of 18 studies.…”

Section: Personality Traitsmentioning

confidence: 99%

“…Goetz & Kiesler, [15] Big-Five [20] x x x x x Looije et al, [26] New Measure x Broadbent et al, [4] Other x Hoffman et al, [19] Other x Powers & Kiesler, [31] Other x Sundar et al, [36] Other x Tay et al, [41] Wiggins [45] x Weiss et al, [43] Wiggins [45] x Andrist et al, [1] Big Five [21] x Tapus & Matarić, [40] EPI [13] x Kleanthous et al, [25] Not Provided x x [1] x Broadbent et al, 2013…”

Section: Robot Personalitymentioning

confidence: 99%

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Personality in Healthcare Human Robot Interaction (H-HRI)

Esterwood¹,

Robert²

2020

Proceedings of the 8th International Conference on Human-Agent Interaction

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Robots are becoming an important way to deliver health care, and personality is vital to understanding their effectiveness. Despite this, there is a lack of a systematic overarching understanding of personality in health care human robot interaction (H-HRI). To address this, the authors conducted a review that identified 18 studies on personality in H-HRI. This paper presents the results of that systematic literature review. Insights are derived from this review regarding the methodologies, outcomes, and samples utilized. The authors of this review discuss findings across this literature while identifying several gaps worthy of attention. Overall, this paper is an important starting point in understanding personality in H-HRI. CCS CONCEPTS • Human-centered computing → HCI theory, concepts and models.

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Section: Gendermentioning

confidence: 99%

Section: Personality Traitsmentioning

confidence: 99%

Section: Robot Personalitymentioning

confidence: 99%

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Personality in Healthcare Human Robot Interaction (H-HRI)

Esterwood¹,

Robert²

2020

Proceedings of the 8th International Conference on Human-Agent Interaction

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“…The research reported in this article is complementary to other related projects involving end-users in care and assistance scenarios. A recent example is the GrowMeUp project which investigated how robots can adapt to older users' changing needs and preferences using machine learning approaches [14,15]. The InStance project investigated fundamental issues of social attunement when people interact with robots, including the sense of agency and gaze cueing effects.…”

Section: Introductionmentioning

confidence: 99%

A narrative approach to human-robot interaction prototyping for companion robots

Koay

Syrdal

Dautenhahn

et al. 2020

Paladyn, Journal of Behavioral Robotics

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AbstractThis paper presents a proof of concept prototype study for domestic home robot companions, using a narrative-based methodology based on the principles of immersive engagement and fictional enquiry, creating scenarios which are inter-connected through a coherent narrative arc, to encourage participant immersion within a realistic setting. The aim was to ground human interactions with this technology in a coherent, meaningful experience. Nine participants interacted with a robotic agent in a smart home environment twice a week over a month, with each interaction framed within a greater narrative arc. Participant responses, both to the scenarios and the robotic agents used within them are discussed, suggesting that the prototyping methodology was successful in conveying a meaningful interaction experience.

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“…Therefore, human-like verbal communication abilities are favored for domestic service robots with human-friendly interactive features [7,8]. The natural verbal communications phrases and utterances that indicate the distances often include uncertain terms such as "little" and "far".…”

Section: Introductionmentioning

confidence: 99%

Enhancing Interpretation of Ambiguous Voice Instructions based on the Environment and the User’s Intention for Improved Human-Friendly Robot Navigation

2017

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Human-friendly interactive features are preferred for domestic service robots. Humans prefer to use verbal communication in order to convey instructions to peers. Those voice instructions often include uncertain terms such as "little" and "far". Therefore, the ability to quantify such information is mandatory for human-friendly service robots. The meaning of such voice instructions depends on the environment and the intention of the user. Therefore, this paper proposes a method in order to interpret the ambiguities in user instructions based on the environment and the intention of the user. The actual intention of the user is identified by analyzing the pointing gestures accompanied with the voice instructions since pointing gestures can be used in order to express the intention of the user. A module called the motion intention switcher (MIS) has been introduced in order to switch the intention of the robot based on the arrangement of the environment and the point referred by the gesture. Experiments have been carried out in an artificially-created domestic environment. According to the experimental results, the behavior of the MIS is effective in identifying the actual intention of the user and switching the intention of the robot. Moreover, the proposed concept is capable of enhancing the uncertain information evaluation ability of robots.

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Analysis of Elderly Users’ Preferences and Expectations on Service Robot’s Personality, Appearance and Interaction

Cited by 13 publications

References 10 publications

Personality in Healthcare Human Robot Interaction (H-HRI)

Personality in Healthcare Human Robot Interaction (H-HRI)

A narrative approach to human-robot interaction prototyping for companion robots

Enhancing Interpretation of Ambiguous Voice Instructions based on the Environment and the User’s Intention for Improved Human-Friendly Robot Navigation

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