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題名 內隱提示如何影響人機互動：結合人格特質和非語言交流之圖書館機器人探討
How Implicit Cues Influence Human-Humanoid Robot Interaction: Combining Personality Traits and Non-verbal Communication for Developing Robot Librarian
作者 陳芷翎
Chen, Chih-Ling
貢獻者 簡士鎰
Chien, Shih-Yi
陳芷翎
Chen, Chih-Ling
關鍵詞 人形機器人
人機互動
人因工程
機器人個性
Humanoid robot
Human-robot interaction
Human factors
Robot personality
日期 2021
上傳時間 2-Mar-2021 14:19:22 (UTC+8)
摘要 隨著科技的進步，人形機器人改變了過去提供服務的方式，相較於平面系統，機器人具有類似於人類的外觀，能提供利用其物理特徵，與使用者進行更豐富的互動。機器人可應用於各種生活場域，這種新科技帶給人類更方便的服務。然而目前機器人在實際應用方面仍有許多限制，很少有效使用到人形機器人的物理特徵，為了使機器人服務更廣泛被運用，開發符合使用者期待與滿足任務場域的需求服務，以有效提升使用者與機器人互動意願，儼然已成為目前的重要議題。本研究針對圖書館使用者，探討是否能利用機器人提供之文字訊息與手勢成功塑造機器人的不同個性，並探討機器人個性差異對受測者感受之影響。
本研究首先以受測者訪談了解一般使用者對於機器人的期望，研究結果顯示機器人的語音與手勢為最常被使用的機器人功能。為開發適合應用在圖書館的機器人服務，本研究以非語音溝通方式為主，設計機器人的文字與手勢。設計出提供圖書館服務的機器人。本研究針對學生進行調查，檢驗圖書館機器人提供之非語音表徵，是否能成功塑造機器人的不同個性，研究結果顯示受測者能夠有效辨識機器的人格特質。本研究進一步檢驗不同的機器人特質對使用者與機器人互動之影響。結論指出手勢的使用的確能夠提升使用者的辨識率與使用體驗，研究成果可做為參考架構並開發人形機器人於不同場域的各式服務。
With the advancement of science and technology, humanoid robots have greatly changed our daily lives. The usage of a humanoid robot can deliver better services than the conventional information systems, in which a humanoid robot has human-like appearance and can use its physical features to communicate with human operators and resulting in more efficient consequences. However, there are still many limitations in the actual application of robots. In order to make robot services more widely used, the development of services that meet the expectations of users and meet the needs of the task field can effectively enhance the willingness of users to interact with robots. This research is aimed to examine whether the textual cues and gestural cues provided by robots can be used to successfully shape different robot personalities, and explore the effects of robot personality in human humanoid robot interaction.
Three rounds of user study were conducted to explore the impact of the usage of humanoid robots. The qualitative interviews were conducted to collect empirical feedbacks. The results show that voice and gesture functions are the essential components of a humanoid robot to deliver the relevant services. Different robot personality design was developed to further examined the impact of robot personality. The results revealed that the use of gestures can improve the recognition rate and user experience. This research provides an innovative way to develop a robot personality via using non-verbal features. The research findings offer guidance for future research across different task contexts.
參考文獻 Agrigoroaie, R. M., &Tapus, A. (2016). Developing a healthcare robot with personalized behaviors and social skills for the elderly. ACM/IEEE International Conference on Human-Robot Interaction, 2016-April(March 2018), 589–590.
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. In Journal of Applied Social Psychology (Vol. 32, Issue 4, pp. 665–683).
Andrist, S., Mutlu, B., &Tapus, A. (2015). Look like me: Matching robot personality via gaze to increase motivation. Conference on Human Factors in Computing Systems - Proceedings, 2015-April(1), 3603–3612.
Bartneck, C., Kulić, D., Croft, E., &Zoghbi, S. (2009). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1), 71–81.
Chidambaram, V., Chiang, Y. H., &Mutlu, B. (2012). Designing persuasive robots: How robots might persuade people using vocal and nonverbal cues. HRI’12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, 293–300.
Chien, S. Y., Semnani-Azad, Z., Lewis, M., &Sycara, K. (2014). Towards the development of an inter-cultural scale to measure trust in automation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8528 LNCS(June), 35–46.
Cohen, D., &Schmidt, J. P. (1979). Ambiversion: Characteristics of Midrange Responders on the Introversion-Extraversion Continuum. Journal of Personality Assessment, 43(5), 514–516.
Conti, D., DiNuovo, A., Cirasa, C., &DiNuovo, S. (2017). A Comparison of Kindergarten Storytelling by Human and Humanoid Robot with Different Social Behavior. 97–98.
Craenen, B., Deshmukh, A., Foster, M. E., &Vinciarelli, A. (2018). Do We Really Like Robots that Match our Personality? the Case of Big-Five Traits, Godspeed Scores and Robotic Gestures. RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication, 626–631.
Craenen, B. G. W., Deshmukh, A., Foster, M. E., &Vinciarelli, A. (2018). Shaping gestures to shape personality: Big-five traits, godspeed scores and the similarity-attraction effect. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 3, 2221–2223.
deWit, J., Schodde, T., Willemsen, B., Bergmann, K., deHaas, M., Kopp, S., Krahmer, E., &Vogt, P. (2018). The Effect of a Robot’s Gestures and Adaptive Tutoring on Children’s Acquisition of Second Language Vocabularies. 50–58.
Edwards, A., Omilion-Hodges, L., &Edwards, C. (2017). How do Patients in a Medical Interview Perceive a Robot versus Human Physician? March, 109–110.
Fang-Yu Wen;Yu-Chen Hsu. (2005). Computers Are Social Actors-Using the Barnum Effect to Investigate Interaction between Web Users and the Visual Elements of Interfaces. Journal of Information Management, 29–56.
Hayashi, K., Sakamoto, D., Kanda, T., Shiomi, M., Koizumi, S., Ishiguro, H., Ogasawara, T., &Hagita, N. (2007). Humanoid robots as a passive-social medium. 137.
Jewell, C. I. C., Elprama, S. A., Jacobs, A., Esteban, P. G., Bagheri, E., &Vanderborght, B. (2019). Why Children Prefer Extrovert or Introvert Robots: A Pilot Study Using Pairwise Robot Comparison. ACM/IEEE International Conference on Human-Robot Interaction, 2019-March, 590–591.
Joosse, M., Lohse, M., Perez, J. G., &Evers, V. (2013). What you do is who you are: The role of task context in perceived social robot personality. Proceedings - IEEE International Conference on Robotics and Automation, 2134–2139.
Kennedy, J., Baxter, P., Senft, E., &Belpaeme, T. (2016). Social robot tutoring for child second language learning. ACM/IEEE International Conference on Human-Robot Interaction, 2016-April, 231–238.
Ligthart, M., VanBindsbergen, K. L. A., Fernhout, T., Grootenhuis, M. A., Neerincx, M. A., &Hindriks, K.V. (2019). A child and a robot getting acquainted - Interaction design for eliciting self-disclosure. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1(Aamas), 61–70.
Lin, W., Yueh, H. P., Wu, H. Y., &Fu, L. C. (2014). Developing a service robot for a children’s library: A design-based research approach. Journal of the American Society for Information Science and Technology.
Lippa, R. A., &Dietz, J. K. (2000). The relation of gender, personality, and intelligence to judges’ accuracy in judging strangers’ personality from brief video segments. Journal of Nonverbal Behavior, 24(1), 25–43.
Lohse, M., Hanheide, M., Wrede, B., Walters, M. L., Koay, K. L., Sverre, D., Green, A., Hüttenrauch, H., Dautenhahn, K., Sagerer, G., &Member, S. (2008). Evaluating extrovert and introvert behaviour of a domestic robot – a video study. Symposium A Quarterly Journal In Modern Foreign Literatures, 488–493.
Martelaro, N., Nneji, V. C., Ju, W., &Hinds, P. (2016). Tell me more: Designing HRI to encourage more trust, disclosure, and companionship. ACM/IEEE International Conference on Human-Robot Interaction, 2016-April, 181–188.
Meerbeek, B., Saerbeck, M., &Bartneck, C. (2009). Iterative design process for robots with personality. Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009, 94–101.
Meghdari, A., Alemi, M., Khamooshi, M., Amoozandeh, A., Shariati, A., &Mozafari, B. (2017). Conceptual design of a social robot for pediatric hospitals. 4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016, October, 566–571.
Okita, S. Y., Ng-Thow-Hing, V., &Sarvadevabhatla, R. (2009). Learning together: ASIMO developing an interactive learning partnership with children. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, November, 1125–1130.
Ramachandran, A., Huang, C.-M., Gartland, E., &Scassellati, B. (2018). Thinking Aloud with a Tutoring Robot to Enhance Learning. 59–68.
Richter, L. A., &Salvendy, G. (1995). Effects of personality and task strength on performance in computerized tasks. Ergonomics, 38(2), 281–291.
Robert, L. P. (2018). Personality in the Human Robot Interaction Literature: A Review and Brief Critique Completed Research. Proceedings of the 24th Americas Conference on Information Systems, 1, 1–10.
Salem, M., Lakatos, G., Amirabdollahian, F., &Dautenhahn, K. (2015). Would You Trust a (Faulty) Robot? 141–148.
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Schrum, M., Park, C. H., &Howard, A. (2019). Humanoid Therapy Robot for Encouraging Exercise in Dementia Patients. ACM/IEEE International Conference on Human-Robot Interaction, 2019-March, 564–565.
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描述 碩士
國立政治大學
資訊管理學系
107356025
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0107356025
資料類型 thesis
dc.contributor.advisor 簡士鎰zh_TW
dc.contributor.advisor Chien, Shih-Yien_US
dc.contributor.author (Authors) 陳芷翎zh_TW
dc.contributor.author (Authors) Chen, Chih-Lingen_US
dc.creator (作者) 陳芷翎zh_TW
dc.creator (作者) Chen, Chih-Lingen_US
dc.date (日期) 2021en_US
dc.date.accessioned 2-Mar-2021 14:19:22 (UTC+8)-
dc.date.available 2-Mar-2021 14:19:22 (UTC+8)-
dc.date.issued (上傳時間) 2-Mar-2021 14:19:22 (UTC+8)-
dc.identifier (Other Identifiers) G0107356025en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/134022-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 資訊管理學系zh_TW
dc.description (描述) 107356025zh_TW
dc.description.abstract (摘要) 隨著科技的進步，人形機器人改變了過去提供服務的方式，相較於平面系統，機器人具有類似於人類的外觀，能提供利用其物理特徵，與使用者進行更豐富的互動。機器人可應用於各種生活場域，這種新科技帶給人類更方便的服務。然而目前機器人在實際應用方面仍有許多限制，很少有效使用到人形機器人的物理特徵，為了使機器人服務更廣泛被運用，開發符合使用者期待與滿足任務場域的需求服務，以有效提升使用者與機器人互動意願，儼然已成為目前的重要議題。本研究針對圖書館使用者，探討是否能利用機器人提供之文字訊息與手勢成功塑造機器人的不同個性，並探討機器人個性差異對受測者感受之影響。
本研究首先以受測者訪談了解一般使用者對於機器人的期望，研究結果顯示機器人的語音與手勢為最常被使用的機器人功能。為開發適合應用在圖書館的機器人服務，本研究以非語音溝通方式為主，設計機器人的文字與手勢。設計出提供圖書館服務的機器人。本研究針對學生進行調查，檢驗圖書館機器人提供之非語音表徵，是否能成功塑造機器人的不同個性，研究結果顯示受測者能夠有效辨識機器的人格特質。本研究進一步檢驗不同的機器人特質對使用者與機器人互動之影響。結論指出手勢的使用的確能夠提升使用者的辨識率與使用體驗，研究成果可做為參考架構並開發人形機器人於不同場域的各式服務。		zh_TW
dc.description.abstract (摘要) With the advancement of science and technology, humanoid robots have greatly changed our daily lives. The usage of a humanoid robot can deliver better services than the conventional information systems, in which a humanoid robot has human-like appearance and can use its physical features to communicate with human operators and resulting in more efficient consequences. However, there are still many limitations in the actual application of robots. In order to make robot services more widely used, the development of services that meet the expectations of users and meet the needs of the task field can effectively enhance the willingness of users to interact with robots. This research is aimed to examine whether the textual cues and gestural cues provided by robots can be used to successfully shape different robot personalities, and explore the effects of robot personality in human humanoid robot interaction.
Three rounds of user study were conducted to explore the impact of the usage of humanoid robots. The qualitative interviews were conducted to collect empirical feedbacks. The results show that voice and gesture functions are the essential components of a humanoid robot to deliver the relevant services. Different robot personality design was developed to further examined the impact of robot personality. The results revealed that the use of gestures can improve the recognition rate and user experience. This research provides an innovative way to develop a robot personality via using non-verbal features. The research findings offer guidance for future research across different task contexts.		en_US
dc.description.tableofcontents Chapter 1 Introduction 1
1.1 Background and motivation 1
1.2 Research questions 3
Chapter 2 Literature review 5
2.1 Human robot interaction in various fields 5
2.2 Robot personality 9
2.3 Non-verbal communication 10
Chapter 3 Methodology 12
Chapter 4 First Round User Study 13
4.1 Participants 13
4.2 Procedure 13
4.3 Results 16
4.4 Discussion 19
Chapter 5 Second Round User Study 20
5.1 Participants 20
5.2 Experiment Design and Procedures 20
5.3 Results 21
5.4 Discussion 22
Chapter 6 Third Round User Study 25
6.1 Pilot text (Text) 26
6.2 Robot behavior design 29
6.3 Pilot text (Gesture) 30
6.4 Pilot text (Text and Gesture) 33
6.5 Lab Experiment 33
6.6 Measures 37
6.7 Results 38
Chapter 7 Conclusion 50
7.1 Summary 50
7.2 Implications 51
7.3 Research Limitation and Future Research 52
Reference 54
Appendix A 58
Appendix B 59
Appendix C 62		zh_TW
dc.format.extent 1631600 bytes-
dc.format.mimetype application/pdf-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0107356025en_US
dc.subject (關鍵詞) 人形機器人zh_TW
dc.subject (關鍵詞) 人機互動zh_TW
dc.subject (關鍵詞) 人因工程zh_TW
dc.subject (關鍵詞) 機器人個性zh_TW
dc.subject (關鍵詞) Humanoid roboten_US
dc.subject (關鍵詞) Human-robot interactionen_US
dc.subject (關鍵詞) Human factorsen_US
dc.subject (關鍵詞) Robot personalityen_US
dc.title (題名) 內隱提示如何影響人機互動：結合人格特質和非語言交流之圖書館機器人探討zh_TW
dc.title (題名) How Implicit Cues Influence Human-Humanoid Robot Interaction: Combining Personality Traits and Non-verbal Communication for Developing Robot Librarianen_US
dc.type (資料類型) thesisen_US
dc.relation.reference (參考文獻) Agrigoroaie, R. M., &Tapus, A. (2016). Developing a healthcare robot with personalized behaviors and social skills for the elderly. ACM/IEEE International Conference on Human-Robot Interaction, 2016-April(March 2018), 589–590.
Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. In Journal of Applied Social Psychology (Vol. 32, Issue 4, pp. 665–683).
Andrist, S., Mutlu, B., &Tapus, A. (2015). Look like me: Matching robot personality via gaze to increase motivation. Conference on Human Factors in Computing Systems - Proceedings, 2015-April(1), 3603–3612.
Bartneck, C., Kulić, D., Croft, E., &Zoghbi, S. (2009). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1), 71–81.
Chidambaram, V., Chiang, Y. H., &Mutlu, B. (2012). Designing persuasive robots: How robots might persuade people using vocal and nonverbal cues. HRI’12 - Proceedings of the 7th Annual ACM/IEEE International Conference on Human-Robot Interaction, 293–300.
Chien, S. Y., Semnani-Azad, Z., Lewis, M., &Sycara, K. (2014). Towards the development of an inter-cultural scale to measure trust in automation. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 8528 LNCS(June), 35–46.
Cohen, D., &Schmidt, J. P. (1979). Ambiversion: Characteristics of Midrange Responders on the Introversion-Extraversion Continuum. Journal of Personality Assessment, 43(5), 514–516.
Conti, D., DiNuovo, A., Cirasa, C., &DiNuovo, S. (2017). A Comparison of Kindergarten Storytelling by Human and Humanoid Robot with Different Social Behavior. 97–98.
Craenen, B., Deshmukh, A., Foster, M. E., &Vinciarelli, A. (2018). Do We Really Like Robots that Match our Personality? the Case of Big-Five Traits, Godspeed Scores and Robotic Gestures. RO-MAN 2018 - 27th IEEE International Symposium on Robot and Human Interactive Communication, 626–631.
Craenen, B. G. W., Deshmukh, A., Foster, M. E., &Vinciarelli, A. (2018). Shaping gestures to shape personality: Big-five traits, godspeed scores and the similarity-attraction effect. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 3, 2221–2223.
deWit, J., Schodde, T., Willemsen, B., Bergmann, K., deHaas, M., Kopp, S., Krahmer, E., &Vogt, P. (2018). The Effect of a Robot’s Gestures and Adaptive Tutoring on Children’s Acquisition of Second Language Vocabularies. 50–58.
Edwards, A., Omilion-Hodges, L., &Edwards, C. (2017). How do Patients in a Medical Interview Perceive a Robot versus Human Physician? March, 109–110.
Fang-Yu Wen;Yu-Chen Hsu. (2005). Computers Are Social Actors-Using the Barnum Effect to Investigate Interaction between Web Users and the Visual Elements of Interfaces. Journal of Information Management, 29–56.
Hayashi, K., Sakamoto, D., Kanda, T., Shiomi, M., Koizumi, S., Ishiguro, H., Ogasawara, T., &Hagita, N. (2007). Humanoid robots as a passive-social medium. 137.
Jewell, C. I. C., Elprama, S. A., Jacobs, A., Esteban, P. G., Bagheri, E., &Vanderborght, B. (2019). Why Children Prefer Extrovert or Introvert Robots: A Pilot Study Using Pairwise Robot Comparison. ACM/IEEE International Conference on Human-Robot Interaction, 2019-March, 590–591.
Joosse, M., Lohse, M., Perez, J. G., &Evers, V. (2013). What you do is who you are: The role of task context in perceived social robot personality. Proceedings - IEEE International Conference on Robotics and Automation, 2134–2139.
Kennedy, J., Baxter, P., Senft, E., &Belpaeme, T. (2016). Social robot tutoring for child second language learning. ACM/IEEE International Conference on Human-Robot Interaction, 2016-April, 231–238.
Ligthart, M., VanBindsbergen, K. L. A., Fernhout, T., Grootenhuis, M. A., Neerincx, M. A., &Hindriks, K.V. (2019). A child and a robot getting acquainted - Interaction design for eliciting self-disclosure. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS, 1(Aamas), 61–70.
Lin, W., Yueh, H. P., Wu, H. Y., &Fu, L. C. (2014). Developing a service robot for a children’s library: A design-based research approach. Journal of the American Society for Information Science and Technology.
Lippa, R. A., &Dietz, J. K. (2000). The relation of gender, personality, and intelligence to judges’ accuracy in judging strangers’ personality from brief video segments. Journal of Nonverbal Behavior, 24(1), 25–43.
Lohse, M., Hanheide, M., Wrede, B., Walters, M. L., Koay, K. L., Sverre, D., Green, A., Hüttenrauch, H., Dautenhahn, K., Sagerer, G., &Member, S. (2008). Evaluating extrovert and introvert behaviour of a domestic robot – a video study. Symposium A Quarterly Journal In Modern Foreign Literatures, 488–493.
Martelaro, N., Nneji, V. C., Ju, W., &Hinds, P. (2016). Tell me more: Designing HRI to encourage more trust, disclosure, and companionship. ACM/IEEE International Conference on Human-Robot Interaction, 2016-April, 181–188.
Meerbeek, B., Saerbeck, M., &Bartneck, C. (2009). Iterative design process for robots with personality. Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009, 94–101.
Meghdari, A., Alemi, M., Khamooshi, M., Amoozandeh, A., Shariati, A., &Mozafari, B. (2017). Conceptual design of a social robot for pediatric hospitals. 4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016, October, 566–571.
Okita, S. Y., Ng-Thow-Hing, V., &Sarvadevabhatla, R. (2009). Learning together: ASIMO developing an interactive learning partnership with children. Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, November, 1125–1130.
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dc.identifier.doi (DOI) 10.6814/NCCU202100384en_US