research-article

KinVoices: Using Voices of Friends and Family in Voice Interfaces

Authors:

Sam W. T. Chan,

Tamil Selvan Gunasekaran,

Suranga NanayakkaraAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2

Article No.: 446, Pages 1 - 25

https://doi.org/10.1145/3479590

Published: 18 October 2021 Publication History

Abstract

With voice user interfaces (VUIs) becoming ubiquitous and speech synthesis technology maturing, it is possible to synthesise voices to resemble our friends and relatives (which we will collectively call 'kin') and use them on VUIs. However, designing such interfaces and investigating how the familiarity of kin voices affect user perceptions remain under-explored. Our surveys and interviews with 25 users revealed that VUIs using kin voices were perceived as more engaging, persuasive and safer yet eerier than VUIs using common virtual assistant voices. We then developed a technology probe, KinVoice, an Alexa-based VUI that was deployed in three households over two weeks. Users set reminders using KinVoice, which in turn, gave the reminders in synthesised kin voices. This was to explore users' needs, uncover challenges involved and inspire new applications. We discuss design guidelines for integrating familiar kin voices into VUIs, applications that benefit from its usage, and implications for balancing voice realism and usability with security and diversification.

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References

[1]

Amal Abdulrahman, Deborah Richards, and Ayse Aysin Bilgin. 2019. A Comparison of Human and Machine-Generated Voice. In 25th ACM Symposium on Virtual Reality Software and Technology (Parramatta, NSW, Australia) (VRST '19). Association for Computing Machinery, New York, NY, USA, Article 41, 2 pages. https://doi.org/10.1145/3359996.3364754

Digital Library

[2]

David Airehrour, Samaneh Madanian, and Alwin Mathew Abraham. 2018. Designing a memory-aid and reminder system for dementia patients and older adults. Proceedings of the 17th International Conference on INFORMATICS in ECONOMY (2018), 75--81.

[3]

Matthew P. Aylett, Selina Jeanne Sutton, and Yolanda Vazquez-Alvarez. 2019. The Right Kind of Unnatural: Designing a Robot Voice. In Proceedings of the 1st International Conference on Conversational User Interfaces (Dublin, Ireland) (CUI '19). Association for Computing Machinery, New York, NY, USA, Article 25, 2 pages. https://doi.org/10.1145/3342775.3342806

Digital Library

[4]

Matthew P. Aylett and Yolanda Vazquez-Alvarez. 2020. Voice Puppetry: Speech Synthesis Adventures in Human Centred AI. In Proceedings of the 25th International Conference on Intelligent User Interfaces Companion (Cagliari, Italy) (IUI '20). Association for Computing Machinery, New York, NY, USA, 108--109. https://doi.org/10.1145/3379336.3381478

Digital Library

[5]

Christoph Bartneck, Dana Kulić, Elizabeth Croft, and Susana Zoghbi. 2009. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International journal of social robotics, Vol. 1, 1 (2009), 71--81. https://doi.org/10.1007/s12369-008-0001--3

[6]

Frank Bentley, Chris Luvogt, Max Silverman, Rushani Wirasinghe, Brooke White, and Danielle Lottridge. 2018. Understanding the Long-Term Use of Smart Speaker Assistants. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Vol. 2, 3, Article 91 (Sept. 2018), 24 pages. https://doi.org/10.1145/3264901

Digital Library

[7]

Saurabh Bhatia and Scott McCrickard. 2006. Listening to Your Inner Voices: Investigating Means for Voice Notifications. Association for Computing Machinery, New York, NY, USA, 1173--1176. https://doi.org/10.1145/1124772.1124947

Digital Library

[8]

Virginia Braun, Victoria Clarke, Nikki Hayfield, and Gareth Terry. 2018. Thematic Analysis. Springer Singapore, Singapore, 1--18. https://doi.org/10.1007/978--981--10--2779--6_103--1

[9]

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020. Language models are few-shot learners. arXiv preprint arXiv:2005.14165 (2020).

[10]

Joao Paulo Cabral, Benjamin R. Cowan, Katja Zibrek, and Rachel McDonnell. 2017. The Influence of Synthetic Voice on the Evaluation of a Virtual Character. In INTERSPEECH. 229--233. https://doi.org/10.21437/Interspeech.2017--325

[11]

Julia Cambre, Jessica Colnago, Jim Maddock, Janice Tsai, and Jofish Kaye. 2020 a. Choice of Voices: A Large-Scale Evaluation of Text-to-Speech Voice Quality for Long-Form Content. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI '20). Association for Computing Machinery, New York, NY, USA, 1--13. https://doi.org/10.1145/3313831.3376789

Digital Library

[12]

Julia Cambre and Chinmay Kulkarni. 2019. One Voice Fits All? Social Implications and Research Challenges of Designing Voices for Smart Devices. Proc. ACM Hum.-Comput. Interact., Vol. 3, CSCW, Article 223 (Nov. 2019), 19 pages. https://doi.org/10.1145/3359325

Digital Library

[13]

Julia Cambre, Samantha Reig, Queenie Kravitz, and Chinmay Kulkarni. 2020 b. "All Rise for the AI Director": Eliciting Possible Futures of Voice Technology through Story Completion. In Proceedings of the 2020 ACM Designing Interactive Systems Conference (Eindhoven, Netherlands) (DIS '20). Association for Computing Machinery, New York, NY, USA, 2051--2064. https://doi.org/10.1145/3357236.3395479

Digital Library

[14]

Samantha W. T. Chan, Shardul Sapkota, Rebecca Mathews, Haimo Zhang, and Suranga Nanayakkara. 2020. Prompto: Investigating Receptivity to Prompts Based on Cognitive Load from Memory Training Conversational Agent. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., Vol. 4, 4, Article 121 (Dec. 2020), 23 pages. https://doi.org/10.1145/3432190

Digital Library

[15]

Samantha W. T. Chan, Haimo Zhang, and Suranga Nanayakkara. 2019. Prospero: A Personal Wearable Memory Coach. In Proceedings of the 10th Augmented Human International Conference 2019 (Reims, France) (AH2019). Association for Computing Machinery, New York, NY, USA, Article 26, 5 pages. https://doi.org/10.1145/3311823.3311870

Digital Library

[16]

Fermin Chavez-Sanchez, Gloria Adriana Mendoza Franco, Gloria Angelica Mart'inez de la Pe na, and Erick Iroel Heredia Carrillo. 2020. Beyond What is Said: Looking for Foundational Principles in VUI Design. In Proceedings of the 2nd Conference on Conversational User Interfaces (Bilbao, Spain) (CUI '20). Association for Computing Machinery, New York, NY, USA, Article 28, 3 pages. https://doi.org/10.1145/3405755.3406145

Digital Library

[17]

Emna Chérif and Jean-Francc ois Lemoine. 2017. Human vs. synthetic recommendation agents' voice: The effects on consumer reactions. In Marketing at the Confluence between Entertainment and Analytics. Springer, 301--310.

[18]

Emna Chérif and Jean-Francc ois Lemoine. 2019. Anthropomorphic virtual assistants and the reactions of Internet users: An experiment on the assistant's voice. Recherche et Applications en Marketing (English Edition), Vol. 34, 1 (2019), 28--47.

[19]

Leigh Clark, Nadia Pantidi, Orla Cooney, Philip Doyle, Diego Garaialde, Justin Edwards, Brendan Spillane, Emer Gilmartin, Christine Murad, Cosmin Munteanu, Vincent Wade, and Benjamin R. Cowan. 2019. What Makes a Good Conversation? Challenges in Designing Truly Conversational Agents. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, New York, NY, USA, 1--12. https://doi.org/10.1145/3290605.3300705

Digital Library

[20]

Benjamin R. Cowan, Holly P Branigan, Mateo Obregón, Enas Bugis, and Russell Beale. 2015. Voice anthropomorphism, interlocutor modelling and alignment effects on syntactic choices in human- computer dialogue. International Journal of Human-Computer Studies, Vol. 83 (2015), 27--42.

Digital Library

[21]

Paul Dourish. 1996. Book Review - The Media Equation: How People Treat Computers, Television and New Media Like Real People and Places. https://www.dourish.com/publications/media-review.html Retrieved 2021-04--15 from

[22]

Philip R. Doyle, Justin Edwards, Odile Dumbleton, Leigh Clark, and Benjamin R. Cowan. 2019. Mapping Perceptions of Humanness in Intelligent Personal Assistant Interaction. In Proceedings of the 21st International Conference on Human-Computer Interaction with Mobile Devices and Services (Taipei, Taiwan) (MobileHCI '19). Association for Computing Machinery, New York, NY, USA, Article 5, 12 pages. https://doi.org/10.1145/3338286.3340116

Digital Library

[23]

Mateusz Dubiel, Martin Halvey, and Leif Azzopardi. 2018. A Survey Investigating Usage of Virtual Personal Assistants. arXiv preprint arXiv:1807.04606 (2018).

[24]

e-pill LLC. 2020. 25 Alarm Clock Reminder Rosie Reminder. https://www.epill.com/italkclock.html Retrieved 2020-09-01 from

[25]

Carrie Demmans Epp, Cosmin Munteanu, Benett Axtell, Keerthika Ravinthiran, Yomna Aly, and Elman Mansimov. 2017. Finger Tracking: Facilitating Non-Commercial Content Production for Mobile e-Reading Applications. In Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (Vienna, Austria) (MobileHCI '17). Association for Computing Machinery, New York, NY, USA, Article 34, 15 pages. https://doi.org/10.1145/3098279.3098556

Digital Library

[26]

Brian A. Esterling, Michael H. Antoni, Mary Ann Fletcher, Scott Margulies, and Neil Schneiderman. 1994. Emotional disclosure through writing or speaking modulates latent Epstein-Barr virus antibody titers. Journal of consulting and clinical psychology, Vol. 62, 1 (1994), 130.

[27]

Friederike Eyssel, Laura De Ruiter, Dieta Kuchenbrandt, Simon Bobinger, and Frank Hegel. 2012. ?If you sound like me, you must be more human': On the interplay of robot and user features on human-robot acceptance and anthropomorphism. In 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, 125--126.

Digital Library

[28]

Kerstin Fischer, Oliver Niebuhr, Lars C. Jensen, and Leon Bodenhagen. 2019. Speech Melody Matters-How Robots Profit from Using Charismatic Speech. ACM Transactions on Human-Robot Interaction (THRI), Vol. 9, 1 (2019), 1--21.

Digital Library

[29]

Loretta M. Flaherty. 2004. Personal sensory reminder with customizable voice message. US Patent 6,707,383.

[30]

Andrew Gambino, Jesse Fox, and Rabindra A. Ratan. 2020. Building a stronger CASA: extending the computers are social actors paradigm. Human-Machine Communication, Vol. 1, 1 (2020), 5.

[31]

Li Gong and Jennifer Lai. 2003. To mix or not to mix synthetic speech and human speech? Contrasting impact on judge-rated task performance versus self-rated performance and attitudinal responses. International Journal of Speech Technology, Vol. 6, 2 (2003), 123--131.

[32]

Jennica Grimshaw, Tiago Bione, and Walcir Cardoso. 2018. Who's got talent? Comparing TTS systems for comprehensibility, naturalness, and intelligibility. Future-proof CALL: language learning as exploration and encounters--short papers from EUROCALL (2018), 83--88.

[33]

Randy Allen Harris. 2004. Voice interaction design: crafting the new conversational speech systems. Elsevier.

[34]

Chin-Chang Ho and Karl F. MacDorman. 2010. Revisiting the uncanny valley theory: Developing and validating an alternative to the Godspeed indices. Computers in Human Behavior, Vol. 26, 6 (2010), 1508--1518. https://doi.org/10.1016/j.chb.2010.05.015 Online Interactivity: Role of Technology in Behavior Change.

Digital Library

[35]

Hilary Hutchinson, Wendy Mackay, Bo Westerlund, Benjamin B Bederson, Allison Druin, Catherine Plaisant, Michel Beaudouin-Lafon, Stéphane Conversy, Helen Evans, Heiko Hansen, et al. 2003. Technology probes: inspiring design for and with families. In Proceedings of the SIGCHI conference on Human factors in computing systems. 17--24.

Digital Library

[36]

Apple Inc. 2011. Siri. https://www.apple.com/siri/ Retrieved 2020-09-01 from

[37]

Amazon.com Inc. 2014. Alexa. https://www.amazon.com/b?node=17934671011 Retrieved 2020-09-01 from

[38]

S. Jawaid and Rachel Mccrindle. 2016. Computerised help information and interaction project for people with memory loss and mild dementia. Journal of Pain Manage (2016), 269--272.

[39]

Corentin Jemine. 2019 a. Master thesis: Automatic Multispeaker Voice Cloning. (2019). https://matheo.uliege.be/handle/2268.2/6801

[40]

Corentin Jemine. 2019 b. Real-Time-Voice-Cloning. https://github.com/CorentinJ/Real-Time-Voice-Cloning.

[41]

Ye Jia, Yu Zhang, Ron Weiss, Quan Wang, Jonathan Shen, Fei Ren, Patrick Nguyen, Ruoming Pang, Ignacio Lopez Moreno, Yonghui Wu, et al. 2018. Transfer learning from speaker verification to multispeaker text-to-speech synthesis. In Advances in neural information processing systems. 4480--4490.

[42]

Alexandra König, Aarti Malhotra, Jesse Hoey, and Linda E. Francis. 2016. Designing personalized prompts for a virtual assistant to support elderly care home residents. In PervasiveHealth. 278--282.

[43]

Letty Y. Y. Kwan, Suhui Yap, and Chi-yue Chiu. 2015. Mere exposure affects perceived descriptive norms: Implications for personal preferences and trust. Organizational Behavior and Human Decision Processes, Vol. 129 (2015), 48--58.

[44]

Google LLC. 2016. Google Assistant. https://assistant.google.com/ Retrieved 2020-09-01 from

[45]

Gale M. Lucas, Jonathan Gratch, Aisha King, and Louis-Philippe Morency. 2014. It's only a computer: Virtual humans increase willingness to disclose. Computers in Human Behavior, Vol. 37 (2014), 94--100.

Digital Library

[46]

Miriam Meyerhoff. 2006. Introducing Sociolinguistics. Routledge.

[47]

Dibya Mukhopadhyay, Maliheh Shirvanian, and Nitesh Saxena. 2015. All your voices are belong to us: Stealing voices to fool humans and machines. In European Symposium on Research in Computer Security. Springer, 599--621.

[48]

P. Muppirishetty and Minha Lee. 2020. Voice User Interfaces for mental healthcare: Leveraging technology to help our inner voice. 3rd ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW 2020 ; Conference date: 17--10--2020 Through 21--10--2020.

[49]

Clifford Nass and Scott Brave. 2005. Wired for speech: How voice activates and advances the human-computer relationship. MIT press Cambridge, MA.

Digital Library

[50]

Clifford Nass and Kwan Min Lee. 2001. Does computer-synthesized speech manifest personality? Experimental tests of recognition, similarity-attraction, and consistency-attraction. Journal of experimental psychology: applied, Vol. 7, 3 (2001), 171.

[51]

Clifford Nass, Youngme Moon, Brian J. Fogg, Byron Reeves, and Chris Dryer. 1995. Can computer personalities be human personalities?. In Conference companion on Human factors in computing systems. 228--229.

Digital Library

[52]

Clifford Nass, Jonathan Steuer, and Ellen R. Tauber. 1994. Computers Are Social Actors. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Boston, Massachusetts, USA) (CHI '94). Association for Computing Machinery, New York, NY, USA, 72--78. https://doi.org/10.1145/191666.191703

Digital Library

[53]

Ajaya Neupane, Nitesh Saxena, Leanne M. Hirshfield, and Sarah E. Bratt. 2019. The Crux of Voice (In) Security: A Brain Study of Speaker Legitimacy Detection. In NDSS.

[54]

Andreea Niculescu, George M. White, See Swee Lan, Ratna Utari Waloejo, and Yoko Kawaguchi. 2008. Impact of English regional accents on user acceptance of voice user interfaces. In Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges. 523--526.

[55]

Kristine Nowak. 2001. Defining and differentiating copresence, social presence and presence as transportation. In Presence 2001 Conference, Philadelphia, PA. Citeseer, 1--23.

[56]

Kristine Nowak and Frank Biocca. 2003. The effect of the agency and anthropomorphism on users' sense of telepresence, copresence, and social presence in virtual environments. Presence: Teleoperators & Virtual Environments, Vol. 12, 5 (2003), 481--494.

Digital Library

[57]

R. Orpwood, C. Gibbs, T. Adlam, R. Faulkner, and D. Meegahawatte. 2005. The Design of Smart Homes for People with Dementia-User-Interface Aspects. Univers. Access Inf. Soc., Vol. 4, 2 (Dec. 2005), 156--164. https://doi.org/10.1007/s10209-005-0120--7

[58]

Sunjeong Park and Youn-kyung Lim. 2020. Investigating User Expectations on the Roles of Family-shared AI Speakers. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. 1--13.

Digital Library

[59]

Malcolm R. Parks and Kory Floyd. 1996. Meanings for closeness and intimacy in friendship. Journal of Social and Personal Relationships, Vol. 13, 1 (1996), 85--107.

[60]

Pat Pataranutaporn, Tomás Vega Gálvez, Lisa Yoo, Abishkar Chhetri, and Pattie Maes. 2020. Wearable Wisdom: An Intelligent Audio-Based System for Mediating Wisdom and Advice. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA '20). Association for Computing Machinery, New York, NY, USA, 1--8. https://doi.org/10.1145/3334480.3383092

Digital Library

[61]

Jennifer Pearson, Simon Robinson, Thomas Reitmaier, Matt Jones, Shashank Ahire, Anirudha Joshi, Deepak Sahoo, Nimish Maravi, and Bhakti Bhikne. 2019. StreetWise: Smart Speakers vs Human Help in Public Slum Settings. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, New York, NY, USA, 1--13. https://doi.org/10.1145/3290605.3300326

Digital Library

[62]

Martin Porcheron, Joel E. Fischer, Stuart Reeves, and Sarah Sharples. 2018. Voice interfaces in everyday life. In proceedings of the 2018 CHI conference on human factors in computing systems. 1--12. https://doi.org/10.1145/3173574.3174214

Digital Library

[63]

Byron Reeves and Clifford Nass. 1996. The media equation: How people treat computers, television, and new media like real people. Cambridge university press Cambridge, UK.

[64]

Baidu Research. 2020. A Look Back on Baidu's AI Innovations in 2019. http://research.baidu.com/Blog/index-view?id=130 Retrieved 2020-09-01 from

[65]

Resemble. 2019. Resemble AI. https://www.resemble.ai/ Retrieved 2021-04--15 from

[66]

Steven E. Stern, John W. Mullennix, and Ilya Yaroslavsky. 2006. Persuasion and social perception of human vs. synthetic voice across person as source and computer as source conditions. International Journal of Human-Computer Studies, Vol. 64, 1 (2006), 43--52.

Digital Library

[67]

Selina Jeanne Sutton, Paul Foulkes, David Kirk, and Shaun Lawson. 2019. Voice as a Design Material: Sociophonetic Inspired Design Strategies in Human-Computer Interaction. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI '19). Association for Computing Machinery, New York, NY, USA, 1--14. https://doi.org/10.1145/3290605.3300833

Digital Library

[68]

Rie Tamagawa, Catherine I. Watson, I. Han Kuo, Bruce A. MacDonald, and Elizabeth Broadbent. 2011. The effects of synthesized voice accents on user perceptions of robots. International Journal of Social Robotics, Vol. 3, 3 (2011), 253--262.

[69]

Xu Tan, Tao Qin, Frank Soong, and Tie-Yan Liu. 2021. A Survey on Neural Speech Synthesis. arXiv preprint arXiv:2106.15561 (2021).

[70]

Christophe Veaux, Junichi Yamagishi, and Simon King. 2013. Towards personalised synthesised voices for individuals with vocal disabilities: Voice banking and reconstruction. In Proceedings of the Fourth Workshop on Speech and Language Processing for Assistive Technologies. 107--111.

[71]

Xi Yang, Marco Aurisicchio, and Weston Baxter. 2019. Understanding Affective Experiences with Conversational Agents. Association for Computing Machinery, New York, NY, USA, 1--12. https://doi.org/10.1145/3290605.3300772

Digital Library

Cited By

Hwang ASiy JShelby RLentz A(2024)In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative SpeechProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661555(224-245)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661555
Kim TKim HRoberts AJacobs MKay M(2024)Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal AgitationProceedings of the ACM on Human-Computer Interaction10.1145/36373818:CSCW1(1-26)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637381
Zulfikar WChan SMaes P(2024)Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory AugmentationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642450(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642450
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Index Terms

KinVoices: Using Voices of Friends and Family in Voice Interfaces
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies
    2. Interaction paradigms
      1. Natural language interfaces

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue CSCW2

CSCW2

October 2021

5376 pages

EISSN:2573-0142

DOI:10.1145/3493286

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Apple Inc., United States

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Published: 18 October 2021

Published in PACMHCI Volume 5, Issue CSCW2

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Cited By

Hwang ASiy JShelby RLentz A(2024)In Whose Voice?: Examining AI Agent Representation of People in Social Interaction through Generative SpeechProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661555(224-245)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661555
Kim TKim HRoberts AJacobs MKay M(2024)Opportunities in Mental Health Support for Informal Dementia Caregivers Suffering from Verbal AgitationProceedings of the ACM on Human-Computer Interaction10.1145/36373818:CSCW1(1-26)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3637381
Zulfikar WChan SMaes P(2024)Memoro: Using Large Language Models to Realize a Concise Interface for Real-Time Memory AugmentationProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642450(1-18)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642450
Kim JSong H(2024)My Voice as a Daily Reminder: Self-Voice Alarm for Daily Goal AchievementProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641932(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641932
Wei CKim YKuzminykh A(2023)The Bot on Speaking Terms: The Effects of Conversation Architecture on Perceptions of Conversational AgentsProceedings of the 5th International Conference on Conversational User Interfaces10.1145/3571884.3597139(1-16)Online publication date: 19-Jul-2023
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Gong ZKanai H(2023)Comparison of Two Methods for Altering the Appearance of Interviewers: Analysis of Multiple BiosignalsEngineering Psychology and Cognitive Ergonomics10.1007/978-3-031-35392-5_4(53-64)Online publication date: 23-Jul-2023
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Bhumika TBhawna Bhavika BSantosh KNeha G(2022)An extensive overview on Human-Computer Interaction (HCI) applicationi-manager’s Journal on Software Engineering10.26634/jse.17.1.1907517:1(24)Online publication date: 2022
https://doi.org/10.26634/jse.17.1.19075

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