TY - JOUR A1 - Zhou, Yuefang A1 - Kornher, Tristan A1 - Mohnke, Janett A1 - Fischer, Martin H. T1 - Tactile interaction with a humanoid robot BT - effects on physiology and subjective impressions JF - International journal of social robotics N2 - This study investigated how touching and being touched by a humanoid robot affects human physiology, impressions of the interaction, and attitudes towards humanoid robots. 21 healthy adult participants completed a 3 (touch style: touching, being touched, pointing) x 2 (body part: hand vs buttock) within-subject design using a Pepper robot. Skin conductance response (SCR) was measured during each interaction. Perceived impressions of the interaction (i.e., friendliness, comfort, arousal) were measured per questionnaire after each interaction. Participants' demographics and their attitude towards robots were also considered. We found shorter SCR rise times in the being touched compared to the touching condition, possibly reflecting psychological alertness to the unpredictability of robot-initiated contacts. The hand condition had shorter rise times than the buttock condition. Most participants evaluated the hand condition as most friendly and comfortable and the robot-initiated interactions as most arousing. Interacting with Pepper improved attitudes towards robots. Our findings require future studies with larger samples and improved procedures. They have implications for robot design in all domains involving tactile interactions, such as caring and intimacy. KW - Human– robot tactile interaction KW - Skin conductance KW - Buttocks KW - Robot Pepper KW - Human– robot intimate relationships Y1 - 2021 U6 - https://doi.org/10.1007/s12369-021-00749-x SN - 1875-4791 SN - 1875-4805 VL - 13 IS - 7 SP - 1657 EP - 1677 PB - Springer CY - Dordrecht ER - TY - JOUR A1 - Zhou, Yuefang A1 - Fischer, Martin H. T1 - Mimicking non-verbal emotional expressions and empathy development in simulated consultations BT - an experimental feasibility study JF - Patient education and counseling N2 - Objective: To explore the feasibility of applying an experimental design to study the relationship between non-verbal emotions and empathy development in simulated consultations. Method: In video-recorded simulated consultations, twenty clinicians were randomly allocated to either an experimental group (instructed to mimic non-verbal emotions of a simulated patient, SP) or a control group (no such instruction). Baseline empathy scores were obtained before consultation, relational empathy was rated by SP after consultation. Multilevel logistic regression modelled the probability of mimicry occurrence, controlling for baseline empathy and clinical experience. ANCOVA compared group differences on relational empathy and consultation smoothness. Results: Instructed mimicry lasted longer than spontaneous mimicry. Mimicry was marginally related to improved relational empathy. SP felt being treated more like a whole person during consultations with spontaneous mimicry. Clinicians who displayed spontaneous mimicry felt consultations went more smoothly. Conclusion: The experimental approach improved our understanding of how non-verbal emotional mimicry contributed to relational empathy development during consultations. Further work should ascertain the potential of instructed mimicry to enhance empathy development. Practice implications: Understanding how non-verbal emotional mimicry impacts on patients’ perceived clinician empathy during consultations may inform training and intervention programme development. KW - Mimicry KW - Non-verbal emotion KW - Empathy KW - Experimental design Y1 - 2017 U6 - https://doi.org/10.1016/j.pec.2017.08.016 SN - 0738-3991 VL - 101 IS - 2 SP - 304 EP - 309 PB - Elsevier Science CY - Clare ER - TY - GEN A1 - Kühne, Katharina A1 - Fischer, Martin H. A1 - Zhou, Yuefang T1 - The Human Takes It All BT - Humanlike Synthesized Voices Are Perceived as Less Eerie and More Likable. Evidence From a Subjective Ratings Study T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - Background: The increasing involvement of social robots in human lives raises the question as to how humans perceive social robots. Little is known about human perception of synthesized voices. Aim: To investigate which synthesized voice parameters predict the speaker's eeriness and voice likability; to determine if individual listener characteristics (e.g., personality, attitude toward robots, age) influence synthesized voice evaluations; and to explore which paralinguistic features subjectively distinguish humans from robots/artificial agents. Methods: 95 adults (62 females) listened to randomly presented audio-clips of three categories: synthesized (Watson, IBM), humanoid (robot Sophia, Hanson Robotics), and human voices (five clips/category). Voices were rated on intelligibility, prosody, trustworthiness, confidence, enthusiasm, pleasantness, human-likeness, likability, and naturalness. Speakers were rated on appeal, credibility, human-likeness, and eeriness. Participants' personality traits, attitudes to robots, and demographics were obtained. Results: The human voice and human speaker characteristics received reliably higher scores on all dimensions except for eeriness. Synthesized voice ratings were positively related to participants' agreeableness and neuroticism. Females rated synthesized voices more positively on most dimensions. Surprisingly, interest in social robots and attitudes toward robots played almost no role in voice evaluation. Contrary to the expectations of an uncanny valley, when the ratings of human-likeness for both the voice and the speaker characteristics were higher, they seemed less eerie to the participants. Moreover, when the speaker's voice was more humanlike, it was more liked by the participants. This latter point was only applicable to one of the synthesized voices. Finally, pleasantness and trustworthiness of the synthesized voice predicted the likability of the speaker's voice. Qualitative content analysis identified intonation, sound, emotion, and imageability/embodiment as diagnostic features. Discussion: Humans clearly prefer human voices, but manipulating diagnostic speech features might increase acceptance of synthesized voices and thereby support human-robot interaction. There is limited evidence that human-likeness of a voice is negatively linked to the perceived eeriness of the speaker. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 700 KW - human-robot interaction KW - paralinguistic features KW - synthesized voice KW - text-to-speech KW - uncanny valley Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-491625 SN - 1866-8364 IS - 700 ER - TY - JOUR A1 - Kühne, Katharina A1 - Fischer, Martin H. A1 - Zhou, Yuefang T1 - The Human Takes It All BT - Humanlike Synthesized Voices Are Perceived as Less Eerie and More Likable. Evidence From a Subjective Ratings Study JF - Frontiers in Neurorobotics N2 - Background: The increasing involvement of social robots in human lives raises the question as to how humans perceive social robots. Little is known about human perception of synthesized voices. Aim: To investigate which synthesized voice parameters predict the speaker's eeriness and voice likability; to determine if individual listener characteristics (e.g., personality, attitude toward robots, age) influence synthesized voice evaluations; and to explore which paralinguistic features subjectively distinguish humans from robots/artificial agents. Methods: 95 adults (62 females) listened to randomly presented audio-clips of three categories: synthesized (Watson, IBM), humanoid (robot Sophia, Hanson Robotics), and human voices (five clips/category). Voices were rated on intelligibility, prosody, trustworthiness, confidence, enthusiasm, pleasantness, human-likeness, likability, and naturalness. Speakers were rated on appeal, credibility, human-likeness, and eeriness. Participants' personality traits, attitudes to robots, and demographics were obtained. Results: The human voice and human speaker characteristics received reliably higher scores on all dimensions except for eeriness. Synthesized voice ratings were positively related to participants' agreeableness and neuroticism. Females rated synthesized voices more positively on most dimensions. Surprisingly, interest in social robots and attitudes toward robots played almost no role in voice evaluation. Contrary to the expectations of an uncanny valley, when the ratings of human-likeness for both the voice and the speaker characteristics were higher, they seemed less eerie to the participants. Moreover, when the speaker's voice was more humanlike, it was more liked by the participants. This latter point was only applicable to one of the synthesized voices. Finally, pleasantness and trustworthiness of the synthesized voice predicted the likability of the speaker's voice. Qualitative content analysis identified intonation, sound, emotion, and imageability/embodiment as diagnostic features. Discussion: Humans clearly prefer human voices, but manipulating diagnostic speech features might increase acceptance of synthesized voices and thereby support human-robot interaction. There is limited evidence that human-likeness of a voice is negatively linked to the perceived eeriness of the speaker. KW - human-robot interaction KW - paralinguistic features KW - synthesized voice KW - text-to-speech KW - uncanny valley Y1 - 2020 U6 - https://doi.org/10.3389/fnbot.2020.593732 SN - 1662-5218 VL - 14 PB - Frontiers Research Foundation CY - Lausanne ER - TY - GEN A1 - Kewenig, Viktor A1 - Zhou, Yuefang A1 - Fischer, Martin H. T1 - Commentary: Robots as intentional agents BT - Using neuroscientific methods to make robots appear more social T2 - Frontiers in psychology KW - intentionality KW - social robots KW - verbal reports KW - humanoid KW - turing test Y1 - 2018 U6 - https://doi.org/10.3389/fpsyg.2018.01131 SN - 1664-1078 VL - 9 PB - Frontiers Research Foundation CY - Lausanne ER -