User experience of human-robot long-term interactions

被引:2
作者
Laban, Guy [1 ]
Kappas, Arvid [2 ]
Morrison, Val [3 ]
Cross, Emily S. [1 ,4 ]
机构
[1] Univ Glasgow, Inst Neurosci & Psychol, Glasgow, Lanark, Scotland
[2] Jacobs Univ, Dept Psychol & Methods, Bremen, Germany
[3] Bangor Univ, Sch Human & Behav Sci, Bangor, Gwynedd, Wales
[4] Macqurie Univ, Dept Cognit Sci, Sydney, NSW, Australia
来源
PROCEEDINGS OF THE 10TH CONFERENCE ON HUMAN-AGENT INTERACTION, HAI 2022 | 2022年
基金
欧洲研究理事会;
关键词
Human-Robot Interaction; HRI; Social Robot; Self-Disclosure; User Experience; Interaction Quality; Communication Competency; Communication; Long-term Interactions;
D O I
10.1145/3527188.3563927
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Since interactions with social robots are novel and exciting for many people, one particular concern in this specific area of human-robot interaction (HRI) is the extent to which human users will experience the interactions positively over time, when the robot's novelty is particularly salient. In the current paper, we investigated users' experience in long-term HRIs; how users perceive the ongoing interactions and the robot's ability to sustain it over time. Therefore, here we examine the effect of the repeated measures (10 testing sessions) and the discussion theme (Covid-19 related vs general) on the way participants experienced the interaction quality with a social robot and perceived the robot's communication competency over time. We found that despite individual differences between the participants, over time participants found the interactions with Pepper to be of higher quality and that Pepper's communication skills got better. Nevertheless, our results also stressed that the discussion theme has no meaningful nor significant effect on the way people perceive Pepper and the interaction.
引用
收藏
页码:287 / 289
页数:3
相关论文
共 12 条
  • [1] Fitting Linear Mixed-Effects Models Using lme4
    Bates, Douglas
    Maechler, Martin
    Bolker, Benjamin M.
    Walker, Steven C.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2015, 67 (01): : 1 - 48
  • [2] Personality, nonverbal behavior, and interaction quality in female dyads
    Berry, DS
    Hansen, JS
    [J]. PERSONALITY AND SOCIAL PSYCHOLOGY BULLETIN, 2000, 26 (03) : 278 - 292
  • [3] Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot
    Croes, Emmelyn A. J.
    Antheunis, Marjolijn L.
    [J]. JOURNAL OF SOCIAL AND PERSONAL RELATIONSHIPS, 2021, 38 (01) : 279 - 300
  • [4] How Is Believability of a Virtual Agent Related to Warmth, Competence, Personification, and Embodiment?
    Demeure, Virginie
    Niewiadomski, Radoslaw
    Pelachaud, Catherine
    [J]. PRESENCE-VIRTUAL AND AUGMENTED REALITY, 2011, 20 (05): : 431 - 448
  • [5] What Makes a Robot Social? A Review of Social Robots from Science Fiction to a Home or Hospital Near You
    Anna Henschel
    Guy Laban
    Emily S. Cross
    [J]. Current Robotics Reports, 2021, 2 (1): : 9 - 19
  • [6] The Perception of Emotion in Artificial Agents
    Hortensius, Ruud
    Hekele, Felix
    Cross, Emily S.
    [J]. IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2018, 10 (04) : 852 - 864
  • [7] lmerTest Package: Tests in Linear Mixed Effects Models
    Kuznetsova, Alexandra
    Brockhoff, Per B.
    Christensen, Rune H. B.
    [J]. JOURNAL OF STATISTICAL SOFTWARE, 2017, 82 (13): : 1 - 26
  • [8] Laban Guy, 2021, Paladyn, Journal of Behavioral Robotics, V12, P136, DOI 10.1515/pjbr-2021-0011
  • [9] Informal Caregivers Disclose Increasingly More to a Social Robot Over Time
    Laban, Guy
    Morrison, Val
    Kappas, Arvid
    Cross, Emily S.
    [J]. EXTENDED ABSTRACTS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, CHI 2022, 2022,
  • [10] Social Robots for Supporting Post-traumatic Stress Disorder Diagnosis and Treatment
    Laban, Guy
    Ben-Zion, Ziv
    Cross, Emily S.
    [J]. FRONTIERS IN PSYCHIATRY, 2022, 12