FAKTOR DESAIN CHATBOT (TONE, AVATAR, EMOSI, DAN INTERAKTIVITAS) TERHADAP PENGALAMAN DAN KEPUASAN PENGGUNA: SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.69714/t8rsfj33Keywords:
chatbot, conversational design, user experience, human–computer interaction, user satisfactionAbstract
The advancement of artificial intelligence has accelerated the adoption of chatbots across various sectors, including customer service, education, healthcare, and e-commerce. However, chatbot effectiveness is influenced not only by technical performance, but also by the quality of interaction shaped through conversational design and user experience. In practice, many chatbots still fail to meet user expectations due to limited empathy, unnatural responses, and rigid interaction structures, which negatively affect user satisfaction and trust. This study aims to examine the role of chatbot design elements, including tone of voice, avatar, emotional expression, and interactivity, in shaping user experience and perceptions of digital interaction quality. The research employs a systematic literature review using a Grounded Theory framework. Data were analyzed through initial coding, conceptual categorization, and the identification of core themes derived from the selected literature. The findings indicate that these four design elements are interrelated and collectively contribute to more human-centered and meaningful chatbot interactions. Empathetic tone of voice, context-appropriate avatars, relevant emotional expressions, and responsive interactivity consistently enhance user engagement, trust, and satisfaction. This study contributes a synthesized conceptual framework that highlights the integrative role of chatbot design elements in shaping user experience, providing a theoretical reference for human-centered chatbot development.
References
D. Suryani and E. L. Amalia, “Aplikasi Chatbot Objek Wisata Jawa Timur,” Smartics J., vol. 3, no. 2, pp. 47–54, 2017.
N. Ma, R. Khynevych, Y. Hao, and Y. Wang, “Effect of anthropomorphism and perceived intelligence in chatbot avatars of visual design on user experience: accounting for perceived empathy and trust,” Front. Comput. Sci., vol. 7, no. May, 2025, doi: 10.3389/fcomp.2025.1531976.
C.-L. Hsu and J. C.-C. Lin, “Understanding the user satisfaction and loyalty of customer service chatbots,” J. Retail. Consum. Serv., vol. 71, p. 103211, Mar. 2023, doi: 10.1016/j.jretconser.2022.103211.
B. Kang and M. Hong, “Development and Evaluation of a Mental Health Chatbot Using ChatGPT 4.0: Mixed Methods User Experience Study With Korean Users,” JMIR Med. Informatics, vol. 13, pp. 1–18, 2025, doi: 10.2196/63538.
G. R. S. Silva and E. D. Canedo, “Human Factors in the Design of Chatbot Interactions: Conversational Design Practices,” in Proceedings of the XXIII Brazilian Symposium on Human Factors in Computing Systems, New York, NY, USA: ACM, Oct. 2024, pp. 1–12. doi: 10.1145/3702038.3702083.
G. R. Enjam, K. M. Tekale, and S. C. Chandragowda, “Chatbot & Voice Bot Integration with Guidewire Digital Portals,” vol. 5, no. 1, pp. 82–93, 2024.
K. Khaddouj, “Study of the relationship between chatbot technology and customer experience and satisfaction Etude de la relation entre la technologie chatbots et l’expérience et la satisfaction client Aumaima WAHBI (Doctorante) Naoufal LAHLIMI, (Doctorant) Study of the,” vol. 4, no. 6, pp. 758–771, 2023, [Online]. Available: www.ijafame.orgwww.ijafame.org
B. A. Chagas et al., “Evaluating User Experience With a Chatbot Designed as a Public Health Response to the COVID-19 Pandemic in Brazil: Mixed Methods Study,” JMIR Hum. Factors, vol. 10, pp. 1–16, 2023, doi: 10.2196/43135.
N. Ul Huda et al., “Impact of Contradicting Subtle Emotion Cues on Large Language Models with Various Prompting Techniques,” Int. J. Adv. Comput. Sci. Appl., vol. 15, no. 4, pp. 407–414, 2024, doi: 10.14569/IJACSA.2024.0150442.
N. Haristiani and M. M. Rifai, “Chatbot-based application development and implementation as an autonomous language learning medium,” Indones. J. Sci. Technol., vol. 6, no. 3, pp. 561–576, 2021, doi: 10.17509/ijost.v6i3.39150.
M. Lee et al., A Design Space for Intelligent and Interactive Writing Assistants. 2024. doi: 10.1145/3613904.3642697.
B. Paneru, B. Paneru, R. Poudyal, and K. Bikram Shah, “Exploring the Nexus of User Interface (UI) and User Experience (UX) in the Context of Emerging Trends and Customer Experience, Human Computer Interaction, Applications of Artificial Intelligence,” Int. J. Informatics, Inf. Syst. Comput. Eng., vol. 5, no. 1, pp. 102–113, 2024, doi: 10.34010/injiiscom.v5i1.12488.
A. M. Barmin, S. Fitri, A. Wati, and I. R. Mukhlis, “UI / UX Redesign of the ‘ GOBIS ’ Public Transportation Application in Surabaya using the Design Thinking Method,” vol. 7, no. 2, pp. 151–162, 2025.
Y. Ding and M. Najaf, “Interactivity, humanness, and trust: a psychological approach to AI chatbot adoption in e-commerce,” BMC Psychol., vol. 12, no. 1, 2024, doi: 10.1186/s40359-024-02083-z.
Z. Stapić, A. Horvat, and D. Plantak Vukovac, “Designing a Faculty Chatbot Through User-Centered Design Approach,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 12425 LNCS, pp. 472–484, 2020, doi: 10.1007/978-3-030-60128-7_36.
Z. Deng and J. Yan, “The Effect of Perceived Warmth , Competence , and Social Presence of AI- Driven Chabots on Consumers ’ Engagement and Satisfaction,” no. September, pp. 1–19, 2025, doi: 10.1177/21582440251365438.
R. R. Sari and S. Suyatmini, “Evaluation of Chatbot AI Application in Accounting Learning in High Schools: Challenges and Impacts,” Ideguru J. Karya Ilm. Guru, vol. 9, no. 3, pp. 1440–1445, 2024, doi: 10.51169/ideguru.v9i3.1139.
K. Kvale, E. Freddi, S. Hodnebrog, O. A. Sell, and A. Følstad, “Understanding the User Experience of Customer Service Chatbots: What Can We Learn from Customer Satisfaction Surveys?,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 12604 LNCS, pp. 205–218, 2021, doi: 10.1007/978-3-030-68288-0_14.
S. N. Mustafina, N. K. Khan, M. N. Islam, F. S. Nusrat, and M. Akhtaruzzaman, “System Usability and Design Evaluation of AI Chatbots: A Comparative Analysis of ChatGPT, Google Bard, and Bing Chat,” Mist Int. J. Sci. Technol., vol. 13, no. June, pp. 83–97, 2025, doi: 10.47981/j.mijst.13(01)2025.522(83-97).
S. V. Jin and S. Youn, “Social Presence and Imagery Processing as Predictors of Chatbot Continuance Intention in Human-AI-Interaction,” Int. J. Hum. Comput. Interact., vol. 39, no. 9, pp. 1874–1886, 2023, doi: 10.1080/10447318.2022.2129277.
R. Kumar and M. M. Ali, “A Review on Chatbot Design and Implementation Techniques,” Int. Res. J. Eng. Technol., vol. 7, no. 2, pp. 2791–2800, 2020, [Online]. Available: www.irjet.net
I. K. F. Haugeland, A. Følstad, C. Taylor, and C. Alexander, “Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design,” Int. J. Hum. Comput. Stud., vol. 161, no. January, 2022, doi: 10.1016/j.ijhcs.2022.102788.
S. Yu and L. Zhao, “Emojifying chatbot interactions: An exploration of emoji utilization in human-chatbot communications,” Telemat. Informatics, vol. 86, p. 102071, Feb. 2024, doi: 10.1016/j.tele.2023.102071.
M. Skjuve, A. Følstad, K. I. Fostervold, and P. B. Brandtzaeg, “A longitudinal study of human–chatbot relationships,” Int. J. Hum. Comput. Stud., vol. 168, no. June, 2022, doi: 10.1016/j.ijhcs.2022.102903.
T. I. Hasan, C. I. Silalahi, R. Y. Rumagit, and G. D. Pratama, “UI/UX Design Impact on E-Commerce Attracting Users,” Procedia Comput. Sci., vol. 245, no. C, pp. 1075–1082, 2024, doi: 10.1016/j.procs.2024.10.336.
Z. Murtaza, I. Sharma, and P. Carbonell, “Examining chatbot usage intention in a service encounter: Role of task complexity, communication style, and brand personality,” Technol. Forecast. Soc. Change, vol. 209, no. July, 2024, doi: 10.1016/j.techfore.2024.123806.
O. T. Kufile, O. V. Akinrinoye, A. Y. Onifade, S. A. Umezurike, B. O. Otokiti, and O. G. Ejike, “Frameworks for Emotional AI Deployment in Customer Engagement and Feedback Loops,” Int. J. Multidiscip. Res. Growth Eval., vol. 4, no. 2, pp. 855–864, 2023, doi: 10.54660/.IJMRGE.2023.4.2.855-864.
R. D. T. Sihotang and H. Haryadi, “Pengaruh Usability dan Responsiveness Chatbot terhadap Kepuasan Pelanggan: Analisis Mahasiswa Bisnis Digital Universitas Negeri Medan dalam Konteks Penggunaan E-Commerce,” EKOMA J. Ekon. Manajemen, Akunt., vol. 3, no. 6, pp. 2080–2091, 2024, doi: 10.56799/ekoma.v3i6.5245.
W. W. Sejati, E. Sibagariang, and H. Setiawan, “Evaluasi Dan Perancangan User Experience Pada Aplikasi Cove Menggunakan Ux Honeycomb,” Comput. Based Inf. Syst. J., vol. 12, no. 2, pp. 29–39, 2024, doi: 10.33884/cbis.v12i2.9200.
L. H. C. Pinochet, F. S. de Gois, V. I. Pardim, and L. M. Onusic, “Experimental study on the effect of adopting humanized and non-humanized chatbots on the factors measure the intensity of the user’s perceived trust in the Yellow September campaign,” Technol. Forecast. Soc. Change, vol. 204, p. 123414, Jul. 2024, doi: 10.1016/j.techfore.2024.123414.
S. N. Koscelny, S. Sadralashrafi, and D. M. Neyens, “Generative AI responses are a dime a dozen; Making them count is the challenge – Evaluating information presentation styles in healthcare chatbots using hierarchical Bayesian regression models,” Appl. Ergon., vol. 128, p. 104515, Oct. 2025, doi: 10.1016/j.apergo.2025.104515.
J. G. Pires, “A conversational artificial intelligence based web application for medical conversations: a prototype for a chatbot,” Jan. 02, 2024. doi: 10.1101/2023.12.31.23300681.
G. Bilquise, S. Ibrahim, and K. Shaalan, “Emotionally Intelligent Chatbots: A Systematic Literature Review,” Hum. Behav. Emerg. Technol., vol. 2022, 2022, doi: 10.1155/2022/9601630.
R. H. Permadi, F. Aftaviani, and A. F. M. Muslim, “UI/UX Design Using Design Thinking Method for the Information Service Chat Bot Application at Widyatama University,” JUSTINFO | J. Sist. Inf. dan Teknol. Inf., vol. 2, no. 1, pp. 179–185, 2025, doi: 10.33197/justinfo.v2i1.1251.
M. S. Maulana and D. Pratiwi, “Penggunaan WhatsApp Bot dalam Program Pengabdian Masyarakat: Evaluasi Efektivitas dan Kepuasan Pengguna,” J. Pengabdi. Inov. Masy., vol. 1, no. 1, pp. 6–10, 2024, doi: 10.62759/jpim.v1i1.52.
S. Borsci et al., “The Chatbot Usability Scale: the Design and Pilot of a Usability Scale for Interaction with AI-Based Conversational Agents,” Pers. Ubiquitous Comput., vol. 26, no. 1, pp. 95–119, 2022, doi: 10.1007/s00779-021-01582-9.
H. Meng, X. Lu, and J. Xu, “The Impact of Chatbot Response Strategies and Emojis Usage on Customers’ Purchase Intention: The Mediating Roles of Psychological Distance and Performance Expectancy,” Behav. Sci. (Basel)., vol. 15, no. 2, pp. 1–25, 2025, doi: 10.3390/bs15020117.
H. Jiang, Y. Cheng, J. Yang, and S. Gao, “AI-powered chatbot communication with customers: Dialogic interactions, satisfaction, engagement, and customer behavior,” Comput. Human Behav., vol. 134, p. 107329, Sep. 2022, doi: 10.1016/j.chb.2022.107329.
L. Gkinko and A. Elbanna, “Hope, tolerance and empathy: employees’ emotions when using an AI-enabled chatbot in a digitalised workplace,” Inf. Technol. People, vol. 35, no. 6, pp. 1714–1743, 2022, doi: 10.1108/ITP-04-2021-0328.
J. Biro, C. Linder, and D. Neyens, “The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study,” JMIR Hum. Factors, vol. 10, 2023, doi: 10.2196/41017.
L. Van Lierop, “The impact of AI in the field of UX,” 2022, [Online]. Available: https://www.theseus.fi/handle/10024/744823
D. A. Fatah, “Evaluasi Usability dan Perbaikan Desain Aplikasi Mobile Menggunakan Usability Testing dengan Pendekatan Human-Centered Design (HCD),” Rekayasa, vol. 13, no. 2, pp. 130–143, 2020, doi: 10.21107/rekayasa.v13i2.6584.
T. S. K and S. N, “Integrating Psychology into Supportive Chatbots for Mental Health Using NLP,” in 2025 International Conference on Inventive Computation Technologies (ICICT), IEEE, Apr. 2025, pp. 997–1004. doi: 10.1109/ICICT64420.2025.11005090.
Y. Zhu, J. Zhang, and J. Liang, “Concrete or abstract: How chatbot response styles influence customer satisfaction,” Electron. Commer. Res. Appl., vol. 62, p. 101317, Nov. 2023, doi: 10.1016/j.elerap.2023.101317.
A. Følstad and C. Taylor, “Investigating the user experience of customer service chatbot interaction: a framework for qualitative analysis of chatbot dialogues,” Qual. User Exp., vol. 6, no. 1, pp. 1–17, 2021, doi: 10.1007/s41233-021-00046-5.
Y. Xu, J. Zhang, and G. Deng, “Enhancing customer satisfaction with chatbots: The influence of communication styles and consumer attachment anxiety,” Front. Psychol., vol. 13, no. July, pp. 1–17, 2022, doi: 10.3389/fpsyg.2022.902782.
H. Haeruddin, S. Sabariman, and C. Celvin, “A Evaluation of Chatbot Responsiveness and Accuracy Using a Matching Pattern Algorithm for Implementation in a Medium-Sized Enterprise,” J. Teknol. Dan Sist. Inf. Bisnis, vol. 7, no. 1, pp. 126–132, 2025, doi: 10.47233/jteksis.v7i1.1816.
S. A. AMESHA, T. ADINDA, N. NAZIRA, and W. WILLYANSAH, “Pengaruh Desain Ui/Ux Yang Efektif Dalam Meningkatkan Pengalaman Dan Kepuasan Penggunaan,” J. Data Sains Dan Teknol. Inf., vol. 2, no. 02, pp. 1–10, 2025, doi: 10.62003/kygzam23.
A. L. Kessel et al., “Impact of Chatbots on User Experience and Data Quality on Citizen Science Platforms,” Computers, vol. 14, no. 1, pp. 1–29, 2025, doi: 10.3390/computers14010021.
S. Zhang, M. Ma, Y. Li, K. L. Man, J. Smith, and Y. Yue, “The Effects of LLM-Empowered Chatbots and Avatar Guides on the Engagement, Experience, and Learning in Virtual Museums,” Int. J. Human–Computer Interact., pp. 1–13, May 2025, doi: 10.1080/10447318.2025.2494072.
M. Al-Shafei, “Navigating Human-Chatbot Interactions: An Investigation into Factors Influencing User Satisfaction and Engagement,” Int. J. Hum. Comput. Interact., vol. 41, no. 1, pp. 411–428, 2025, doi: 10.1080/10447318.2023.2301252.
J. Arora, S. Bali, N. Aggarwal, G. Mamgain, and T. Sharma, “AI-Driven Personalization Of Brand Voice: Enhancing Customer Engagement And Brand Identity,” Int. J. Environ. Sci., vol. 11, no. 3, pp. 935–943, 2025.
M. E. te Pas, W. G. M. M. Rutten, R. A. Bouwman, and M. P. Buise, “User experience of a chatbot questionnaire versus a regular computer questionnaire: Prospective comparative study,” JMIR Med. Informatics, vol. 8, no. 12, pp. 1–10, 2020, doi: 10.2196/21982.
S. E. Finch, E. S. Paek, I. Choi, and J. D. Choi, “Finding A Voice: Exploring the Potential of African American Dialect and Voice Generation for Chatbots,” vol. 1, pp. 25789–25806, 2025, doi: 10.18653/v1/2025.acl-long.1252.
S. Hwang, B. Kim, and K. Lee, A Data-Driven Design Framework for Customer Service Chatbot, vol. 11583 LNCS. Springer International Publishing, 2019. doi: 10.1007/978-3-030-23570-3_17.
X. Huang, “Chatbot: Design, Architecutre, and Applications,” p. 9, 2021.
L. M. Vowels, S. K. Sweeney, and M. J. Vowels, “Evaluating the efficacy of Amanda: A voice-based large language model chatbot for relationship challenges,” Comput. Hum. Behav. Artif. Humans, vol. 4, no. March, p. 100141, 2025, doi: 10.1016/j.chbah.2025.100141.
A. R. Salsabila, T. Lathif, M. Suryanto, and E. M. Safitri, “Evaluasi Pengalaman Pengguna Aplikasi SIMARIS UPN ‘ Veteran ’ Jawa Timur Menggunakan Metode UEQ,” vol. 9, no. 6, pp. 0–7, 2022, doi: 10.30865/jurikom.v9i6.5068.
K. Merrill, S. D. Mikkilineni, and M. Dehnert, “Artificial intelligence chatbots as a source of virtual social support: Implications for loneliness and anxiety management,” Ann. N. Y. Acad. Sci., vol. 1549, no. 1, pp. 148–159, 2025, doi: 10.1111/nyas.15400.
K. Zhang, Y. Xie, D. Chen, Z. Ji, and J. Wang, “Effects of attractions and social attributes on peoples’ usage intention and media dependence towards chatbot: The mediating role of parasocial interaction and emotional support,” BMC Psychol., vol. 13, no. 1, 2025, doi: 10.1186/s40359-025-03284-w.
C. A. Nathania, S. Arta, J. B. P. Maufa, N. C. Butar Butar, Z. U. Sefia, and E. R. Handoyo, “Analisis User Experience Penggunaan ChatGPT pada Lingkungan Pendidikan Tinggi,” KONSTELASI Konvergensi Teknol. dan Sist. Inf., vol. 3, no. 2, pp. 307–316, 2023, doi: 10.24002/konstelasi.v3i2.7216.
S. Abinaya, K. S. Ashwin, and A. Sherly Alphonse, “Enhanced Emotion-Aware Conversational Agent: Analyzing User Behavioral Status for Tailored Reponses in Chatbot Interactions,” IEEE Access, vol. 13, no. January, pp. 19770–19787, 2025, doi: 10.1109/ACCESS.2025.3534197.
I. Đuka and A. Njeguš, “Conversational Survey Chatbot: User Experience and Perception,” pp. 322–327, 2021, doi: 10.15308/sinteza-2021-322-327.
W.-H. S. Tsai¨ching and T. Tsai¨ching-Hua Chuan, “How Effective Are Anthropomorphic Chatbots? A Study of Consumer-Chatbot Communication in Taiwan,” Int. J. Commun., vol. 18, pp. 5130–5153, 2024, [Online]. Available: http://ijoc.org.
J. Belda-Medina and V. Kokošková, “Integrating chatbots in education: insights from the Chatbot-Human Interaction Satisfaction Model (CHISM),” Int. J. Educ. Technol. High. Educ., vol. 20, no. 1, 2023, doi: 10.1186/s41239-023-00432-3.
Z. Deng and J. Yan, “The Effect of Perceived Warmth , Competence , and Social Presence of AI- Driven Chabots on Consumers ’ Engagement and Satisfaction,” no. September, pp. 1–19, 2025, doi: 10.1177/21582440251365438.
A. Følstad, E. L. C. Law, and N. Van As, “Conversational Breakdown in a Customer Service Chatbot: Impact of Task Order and Criticality on User Trust and Emotion,” ACM Trans. Comput. Interact., vol. 31, no. 5, 2024, doi: 10.1145/3690383.
C. T. Tan, I. Atmosukarto, B. Tandianus, S. Shen, and S. Wong, “Exploring the Impact of Avatar Representations in AI Chatbot Tutors on Learning Experiences,” Conf. Hum. Factors Comput. Syst. - Proc. , 2025, doi: 10.1145/3706598.3713456.
M. Firdausy, A. Fitri, M. I. Afandi, and A. S. Fitri, “Perancangan Desain UI / UX Aplikasi Findchise Menggunakan Metode User Centered Design ( UCD ),” vol. 06, no. 02, pp. 669–690, 2024.
R. Hao and C. Li, “How AI chatbots shape satisfactory experiences: A combined perspective of competence expansion and emotional extension,” Technol. Forecast. Soc. Change, vol. 212, p. 123979, Mar. 2025, doi: 10.1016/j.techfore.2025.123979.
Y. Li, X. Zhou, and T. K. F. Chiu, “Systematics review on artificial intelligence chatbots and ChatGPT for language learning and research from self-determination theory (SDT): what are the roles of teachers?,” Interact. Learn. Environ., vol. 33, no. 3, pp. 1850–1864, 2025, doi: 10.1080/10494820.2024.2400090.
G. Z. Karimova, “Not in our image: rethinking anthropomorphism in expert chatbot design,” AI Soc., no. 0123456789, 2025, doi: 10.1007/s00146-025-02438-z.
M. G. S. Mafra et al., “Proposing Usability-UX technologies for the design and evaluation of text-based chatbots,” J. Interact. Syst., vol. 15, no. 1, pp. 234–251, 2024, doi: 10.5753/jis.2024.3856.
E. Siglen et al., “Ask Rosa – The making of a digital genetic conversation tool, a chatbot, about hereditary breast and ovarian cancer,” Patient Educ. Couns., vol. 105, no. 6, pp. 1488–1494, 2022, doi: 10.1016/j.pec.2021.09.027.
M. Barbosa et al., “UX of Chatbots: An Exploratory Study on Acceptance of User Experience Evaluation Methods,” Int. Conf. Enterp. Inf. Syst. ICEIS - Proc., vol. 2, no. Iceis, pp. 355–363, 2022, doi: 10.5220/0011090100003179.
P. Khandelwal and N. Chaudhary, “Pratibodh The Psychology of Colors in UI/UX Design,” Ncdsns, no. Dec, 2023, [Online]. Available: https://pratibodh.org
M. Richi, J. Gunawan, M. Michael, and A. Farisi, “Analisis Metode Perancangan dan Evaluasi UI/UX: Sebuah Tinjauan Literatur Sistematis,” MDP Student Conf., vol. 4, no. 1, pp. 601–608, 2025, doi: 10.35957/mdp-sc.v4i1.11300.
A. A. Akhsan and F. Faizah, “Analisis dan Perancangan Interaksi Chatbot Reminder dengan User-Centered Design,” J. Sist. Inf., vol. 13, no. 2, p. 78, 2017, doi: 10.21609/jsi.v13i2.555.
G. Warren-Smith, G. Laban, E.-M. Pacheco, and E. S. Cross, “Knowledge cues to human origins facilitate self-disclosure during interactions with chatbots,” Comput. Hum. Behav. Artif. Humans, vol. 5, p. 100174, Aug. 2025, doi: 10.1016/j.chbah.2025.100174.
U. Bumigora, U. Bumigora, and A. History, “Jurnal Sistem Informasi dan Teknologi Era Pengaruh Persepsi Penggunaan dan Kepercayaan terhadap Kepuasan Pengguna Chatbot E-Commerce di Indonesia,” vol. 1, no. 1, pp. 6–11, 2025.
A. Alabbas and K. Alomar, “A Weighted Composite Metric for Evaluating User Experience in Educational Chatbots: Balancing Usability, Engagement, and Effectiveness,” Futur. Internet, vol. 17, no. 2, pp. 1–35, 2025, doi: 10.3390/fi17020064.
J. R. Leite Filho, T. A. Coleti, and M. Morandini, “Evaluating chatbot user experience (UX) through electroencephalography measures: A systematic literature review,” Comput. Hum. Behav. Reports, vol. 13, no. May 2023, p. 100381, 2024, doi: 10.1016/j.chbr.2024.100381.
G. R. S. Silva and E. D. Canedo, “Towards User-Centric Guidelines for Chatbot Conversational Design,” Int. J. Hum. Comput. Interact., vol. 40, no. 2, pp. 98–120, 2024, doi: 10.1080/10447318.2022.2118244.
J. Yuan, X. Peng, Y. Liu, and Q. Wang, “‘Don’t look at me!’: The role of avatars’ presentation style and gaze direction in social chatbot design,” Comput. Human Behav., vol. 164, p. 108501, Mar. 2025, doi: 10.1016/j.chb.2024.108501.
B. Luo, R. Y. K. Lau, C. Li, and Y. W. Si, A critical review of state-of-the-art chatbot designs and applications, vol. 12, no. 1. 2022. doi: 10.1002/widm.1434.
P. Kumar and A. Jhawar, “Avatar–Human Interaction: Bibliometric Review and Future Research Avenues Through the Theory–Context–Methods Lens,” Int. J. Human–Computer Interact., vol. 41, no. 15, pp. 9618–9632, Aug. 2025, doi: 10.1080/10447318.2024.2426913.
C. E. Schillaci, L. M. de Cosmo, L. Piper, M. Nicotra, and G. Guido, “Anthropomorphic chatbots’ for future healthcare services: Effects of personality, gender, and roles on source credibility, user satisfaction, and intention to use,” Technol. Forecast. Soc. Change, vol. 199, p. 123025, Feb. 2024, doi: 10.1016/j.techfore.2023.123025.
R. K. V. Reddy, “Exploring the Relationship Between User Characteristics and Chatbot Effectiveness,” vol. 74, pp. 1356–1361, 2024.
R. Tamrakar and N. Wani, “Design and Development of CHATBOT: A Review,” Int. Conf. “Latest Trends Civil, Mech. Electr. Eng., no. May, 2021.
M. M. Aprilianda, Y. V. Landa, R. Y. Nainggolan, M. Praseptiawan, and A. Setiawan, “Perancangan dan Evaluasi pengalaman pengguna UI/UX Platform Pedulikan dengan Metode Design Thinking,” Bul. Pagelaran Mhs. Nas. Bid. Teknol. Inf. dan Komun., vol. 1, no. 1, pp. 28–32, 2023.
A. P. Chaves, J. Egbert, T. Hocking, E. Doerry, and M. A. Gerosa, “Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots,” ACM Trans. Comput. Interact., vol. 29, no. 2, 2022, doi: 10.1145/3487193.
Z. S. Arief, M. Hamzah, M. Nazham, and I. Azham, “Development of MyCare AI : A Dual-AI Mental Health Chatbot for Personalized Emotional Support,” vol. 1, no. 2, pp. 45–52, 2025.
S.-M. Tan and T. W. Liew, “Multi-Chatbot or Single-Chatbot? The Effects of M-Commerce Chatbot Interface on Source Credibility, Social Presence, Trust, and Purchase Intention,” Hum. Behav. Emerg. Technol., vol. 2022, pp. 1–14, 2022, doi: 10.1155/2022/2501538.
R. Ren, J. W. Castro, S. T. Acuña, and J. De Lara, “Usability of chatbots: A systematic mapping study,” Proc. Int. Conf. Softw. Eng. Knowl. Eng. SEKE, vol. 2019-July, pp. 479–484, 2019, doi: 10.18293/SEKE2019-029.
Z. Y. Takaria and M. Tjokrosaputro, “Pengaruh Penggunaan Dan Respons Chatbot Terhadap Kepuasan Konsumen E-Commerce,” J. Ekon., vol. 29, no. 3, pp. 446–468, 2024, doi: 10.24912/je.v29i3.2322.
Nadia Abdul Wahab, Ahmad Asyraf Zainudin, Aznoora Osman, Norfiza Ibrahim, and Abdul Hapes Mohammed, “HelpMe: Early Detection of University Students’ Mental Health Issues Using a Chatbot-Integrated Dashboard,” J. Comput. Res. Innov., vol. 10, no. 1, pp. 204–217, 2025, doi: 10.24191/jcrinn.v10i1.509.
A. M. Hadjiev and K. Araki, “Evaluation of Various Avatar Designs for Conversational Chatbot Systems,” pp. 5–10, 2025.
E. Sezgin et al., “Chatbot for Social Need Screening and Resource Sharing With Vulnerable Families: Iterative Design and Evaluation Study,” JMIR Hum. Factors, vol. 11, 2024, doi: 10.2196/57114.
M. Saviano, A. Thomas, M. Del Prete, D. Verderese, and P. Sasso, “The impact of new generative AI chatbots on the switch point (SP): toward an artificial emotional awareness (AEA),” Eur. J. Innov. Manag., vol. 28, no. 5, pp. 2029–2053, 2025, doi: 10.1108/EJIM-05-2024-0520.
A. L. Hanim, A. Rezha, E. Najaf, P. Karunia, and F. Ananto, “UI / UX Design of a Mobile-Based English Tutoring LMS Application Using the Double Diamond Method,” vol. 8, no. 1, 2025, doi: 10.32877/bt.v8i1.2655.
J. Lovett, Andrew, Forbus, Kenneth, Usher, “Proceedings of the Annual Meeting of the Cognitive Science behaviour,” Proc. Annu. Meet. Cogn. Sci. Behav., pp. 276–281, 2014.
Q. N. Nguyen and A. Sidorova, “Understanding User Interactions with a Chatbot Understanding User Interactions with a Chatbot: A Self-determination Theory Approach Emergent Research Forum (ERF),” Am. Conf. Informations Syst., pp. 1–5, 2018.
S. Hao, “Voice Chatbot Design : Leveraging the Preemptive,” no. Deighton 2023, pp. 1–52.
B. Kelana, A. R. Qodri, and S. Muruliza, “desain chatbot 540-Article Text-2419-1-10-20240211”.
C. Stephanidis, “Foreword,” Commun. Comput. Inf. Sci., vol. 617, p. VII, 2016, doi: 10.1007/978-3-319-40542-1.
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