Understanding How Users Experience the Physiological Expression of Non-humanoid Voice-based Conversational Agent in Healthcare Services
暂无分享,去创建一个
[1] J. Ayers,et al. Responses to addiction help-seeking from Alexa, Siri, Google Assistant, Cortana, and Bixby intelligent virtual assistants , 2020, npj Digital Medicine.
[2] Jessica A. Chen,et al. Conversational agents in healthcare: a systematic review , 2018, J. Am. Medical Informatics Assoc..
[3] Mats Hagberg,et al. Texting on mobile phones and musculoskeletal disorders in young adults: A five-year cohort study. , 2017, Applied ergonomics.
[4] T. Shibata,et al. Robot Therapy: A New Approach for Mental Healthcare of the Elderly – A Mini-Review , 2010, Gerontology.
[5] Stephenie C. Lemon,et al. The influence of family, friend, and coworker social support and social undermining on weight gain prevention among adults , 2014, Obesity.
[6] Walter Brenner,et al. Design Thinking as Mindset, Process, and Toolbox , 2016 .
[7] R. Wing,et al. Benefits of recruiting participants with friends and increasing social support for weight loss and maintenance. , 1999, Journal of consulting and clinical psychology.
[8] Farah Magrabi,et al. Responses of Conversational Agents to Health and Lifestyle Prompts: Investigation of Appropriateness and Presentation Structures , 2020, Journal of medical Internet research.
[9] Adam S. Miner,et al. Smartphone-Based Conversational Agents and Responses to Questions About Mental Health, Interpersonal Violence, and Physical Health. , 2016, JAMA internal medicine.
[10] J. Dale,et al. What is the effect of peer support on diabetes outcomes in adults? A systematic review , 2012, Diabetic medicine : a journal of the British Diabetic Association.
[11] Benjamin R. Cowan,et al. What Makes a Good Conversation?: Challenges in Designing Truly Conversational Agents , 2019, CHI.
[12] Todd Kulesza,et al. Tell me more?: the effects of mental model soundness on personalizing an intelligent agent , 2012, CHI.
[13] C. B. Taylor,et al. Social Support for Healthy Behaviors: Scale Psychometrics and Prediction of Weight Loss Among Women in a Behavioral Program , 2012, Obesity.
[14] Anita Burgun-Parenthoine,et al. Automatic concept extraction from spoken medical reports , 2003, Int. J. Medical Informatics.
[15] V. Braun,et al. Using thematic analysis in psychology , 2006 .
[16] Florian Alt,et al. At Your Service: Designing Voice Assistant Personalities to Improve Automotive User Interfaces , 2019, CHI.
[17] Lola Cañamero,et al. Making New “New AI” Friends: Designing a Social Robot for Diabetic Children from an Embodied AI Perspective , 2016, Int. J. Soc. Robotics.
[18] Arne Jönsson,et al. Wizard of Oz studies: why and how , 1993, IUI '93.
[19] Andrés Montoyo,et al. Advances on natural language processing , 2007, Data Knowl. Eng..
[20] Takanori Shibata,et al. Psychological and Social Effects of One Year Robot Assisted Activity on Elderly People at a Health Service Facility for the Aged , 2005, Proceedings of the 2005 IEEE International Conference on Robotics and Automation.
[21] Sangsu Lee,et al. "What does your Agent look like?": A Drawing Study to Understand Users' Perceived Persona of Conversational Agent , 2019, CHI Extended Abstracts.
[22] S. Preum,et al. A Review of Cognitive Assistants for Healthcare , 2021, ACM Comput. Surv..
[23] Marta Perez Garcia,et al. Exploring the Uncanny Valley Theory in the Constructs of a Virtual Assistant Personality , 2019, IntelliSys.
[24] Wilhelm Hasselbring,et al. The SI challenge in health care , 2000, CACM.
[25] Clifford Nass,et al. Does computer-generated speech manifest personality? an experimental test of similarity-attraction , 2000, CHI.
[26] E. Alagha,et al. Evaluating the quality of voice assistants’ responses to consumer health questions about vaccines: an exploratory comparison of Alexa, Google Assistant and Siri , 2019, BMJ Health & Care Informatics.
[27] Khalil Sima'an,et al. Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship , 2006, Computational Linguistics.
[28] Rosemary Stockdale,et al. Peer-to-peer online communities for people with chronic diseases: a conceptual framework , 2008, J. Syst. Inf. Technol..
[29] Chinmay Kulkarni,et al. One Voice Fits All? , 2019, Proc. ACM Hum. Comput. Interact..
[30] Xiao Li,et al. Machine Learning Paradigms for Speech Recognition: An Overview , 2013, IEEE Transactions on Audio, Speech, and Language Processing.
[31] Matthias Rauterberg,et al. Electrodermal activity: Explorations in the psychophysiology of engagement with social robots in dementia , 2017, 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN).
[32] Sarah Sharples,et al. Voice Interfaces in Everyday Life , 2018, CHI.
[33] C. Judd,et al. What the Voice Reveals: Within- and Between-Category Stereotyping on the Basis of Voice , 2006, Personality & social psychology bulletin.
[34] Jenny Preece,et al. Online Communities: Designing Usability and Supporting Sociability , 2000 .
[35] J. Cacioppo,et al. On seeing human: a three-factor theory of anthropomorphism. , 2007, Psychological review.
[36] Clifford Nass,et al. The Effects of Emotion of Voice in Synthesized and Recorded Speech , 2001 .
[37] Eva Brandt,et al. Evoking the future: Drama and props in user centered design , 2000 .
[38] M. Funnell. Peer-based behavioural strategies to improve chronic disease self-management and clinical outcomes: evidence, logistics, evaluation considerations and needs for future research. , 2010, Family practice.
[39] Judgments of Emotion by Nurses and Students Given Double-Bind Information on a Patient's Tone of Voice and Message Content , 2000, Perceptual and motor skills.
[40] Anselm L. Strauss,et al. Qualitative Analysis For Social Scientists , 1987 .
[41] Jen Ross,et al. The 'digital native' and 'digital immigrant': a dangerous opposition , 2007 .
[42] Youn-Kyung Lim,et al. Co-Performing Agent: Design for Building User-Agent Partnership in Learning and Adaptive Services , 2019, CHI.
[43] Youn-kyung Lim,et al. Developing a Design Guide for Consistent Manifestation of Conversational Agent Personalities , 2019 .
[44] Bijan Najafi,et al. Health Sensors, Smart Home Devices, and the Internet of Medical Things: An Opportunity for Dramatic Improvement in Care for the Lower Extremity Complications of Diabetes , 2018, Journal of diabetes science and technology.
[45] John Torous,et al. The efficacy of smartphone‐based mental health interventions for depressive symptoms: a meta‐analysis of randomized controlled trials , 2017, World psychiatry : official journal of the World Psychiatric Association.
[46] C. Nass,et al. Social-Psychological Origins of Feelings of Presence: Creating Social Presence With Machine-Generated Voices , 2005 .
[47] Atieh Poushneh. Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors , 2021 .
[48] Elizabeth Sillence,et al. Modeling patient engagement in peer-to-peer healthcare , 2014, WWW.
[49] Eric Dishman,et al. ACTORS,HAIRDOS& VIDEOTAPE= INFORMANCE DESIGN Usingperformancetechniquesin multi-disciplinaryobservationbaseddesign , 1994 .
[50] Joel J. P. C. Rodrigues,et al. Home-based exercise system for patients using IoT enabled smart speaker , 2017, 2017 IEEE 19th International Conference on e-Health Networking, Applications and Services (Healthcom).
[51] C P Bradley,et al. Giving voice to the lifeworld. More humane, more effective medical care? A qualitative study of doctor-patient communication in general practice. , 2001, Social science & medicine.
[52] George TERZOPOULOS,et al. Voice Assistants and Smart Speakers in Everyday Life and in Education , 2020, Informatics Educ..