Identification of usability problems and requirements of elderly Chinese users for smart TV interactions

ABSTRACT With the development of Information and Communications Technology (ICT), smart TV is gradually becoming universal and penetrating daily life. Smart TV has a wide range of user groups, and the elderly is an important group. The special physiological and psychological characteristics of Chinese elderly highlight the usability problems of smart TV interactions for them. The main functions of smart TVs were selected and operated by the elderly in this study. With the help of physiological measurements, behaviour analyses and interviews during natural usage scenarios, we determined the usability issues and user requirements of Chinese elderly for interacting with smart TVs. The research shows that the elderly in China have the intention to use smart TV products, but the usability of interactive systems affects the experience of using a smart TV. The results indicate that different content search methods result in different user experiences. Pinyin search is difficult to operate using a remote control, and some influencing factors are revealed. Voice search results in the best user experience for the elderly, but the recognition accuracy is easily affected by factors such as user accents and environmental noise. Hierarchical search is easy to operate, but it often takes a long time to finish an involved task. Other usability issues of some main functions, i.e. screen mirroring, shopping, playing games, system settings and application downloads, were also obtained, and the requirements of the elderly were well understood. These findings have implications for interaction design and implementation of smart TV service systems.

[1]  Barry Kirwan,et al.  A Guide To Task Analysis: The Task Analysis Working Group , 1992 .

[2]  Jungwoo Shin,et al.  Google TV or Apple TV?—The Reasons for Smart TV Failure and a User-Centered Strategy for the Success of Smart TV , 2015 .

[3]  Dong-Hee Shin,et al.  Do Users Experience Real Sociability Through Social TV? Analyzing Parasocial Behavior in Relation to Social TV , 2016 .

[4]  J. Dinardo,et al.  Natural Experiments and Quasi-Natural Experiments , 2010 .

[5]  G. Matthews.  Human Performance: Cognition, Stress and Individual Differences , 2000 .

[6]  Neville A Stanton,et al.  Hierarchical task analysis: developments, applications, and extensions. , 2006, Applied ergonomics.

[7]  H. Critchley.  Review: Electrodermal Responses: What Happens in the Brain , 2002 .

[8]  Oscar Mauricio Serrano Jaimes,et al.  EVALUACION DE LA USABILIDAD EN SITIOS WEB, BASADA EN EL ESTANDAR ISO 9241-11 (International Standard (1998) Ergonomic requirements For office work with visual display terminals (VDTs)-Parts II: Guidance on usability , 2012 .

[9]  ShinDong-Hee.  The role of affordance in the experience of virtual reality learning , 2017 .

[10]  Shalini Vohra,et al.  Emotion regulation and trader expertise: Heart rate variability on the trading floor , 2012 .

[11]  A. Damasio,et al.  Basic emotions are associated with distinct patterns of cardiorespiratory activity. , 2006, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[12]  S Cerutti,et al.  Spectral analysis of R-R and arterial pressure variabilities to assess sympatho-vagal interaction during mental stress in humans. , 1989, Journal of hypertension. Supplement : official journal of the International Society of Hypertension.

[13]  Moon-Koo Kim,et al.  Factors influencing the low usage of smart TV services by the terminal buyers in Korea , 2016, Telematics Informatics.

[14]  Robert D. Ward,et al.  Physiological responses to different WEB page designs , 2003, Int. J. Hum. Comput. Stud..

[15]  A. Malliani,et al.  Changes in Autonomic Regulation Induced by Physical Training in Mild Hypertension , 1988, Hypertension.

[16]  Yvonne Barnard,et al.  Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability , 2013, Comput. Hum. Behav..

[17]  Lucy R. Betts,et al.  Older adults' experiences and perceptions of digital technology: (Dis)empowerment, wellbeing, and inclusion , 2015, Comput. Hum. Behav..

[18]  Catherine Courage,et al.  Understanding Your Users: A Practical Guide to User Requirements Methods, Tools, and Techniques , 2005 .

[19]  Kewei Chen,et al.  Neural correlates of heart rate variability during emotion , 2009, NeuroImage.

[20]  Hsien-Tsung Chang,et al.  Touch panel usability of elderly and children , 2014, Comput. Hum. Behav..

[21]  Christian Peter,et al.  Affective responses to system messages in human-computer-interaction: Effects of modality and message type , 2011, Interact. Comput..

[22]  A. Malliani,et al.  Cardiovascular Neural Regulation Explored in the Frequency Domain , 1991, Circulation.

[23]  Gitte Lindgaard,et al.  User Needs Analysis and requirements engineering: Theory and practice , 2006, Interact. Comput..

[24]  Jiayin Chen,et al.  Assessing the use of immersive virtual reality, mouse and touchscreen in pointing and dragging-and-dropping tasks among young, middle-aged and older adults. , 2017, Applied ergonomics.

[25]  Enzo Pasquale Scilingo,et al.  The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition , 2012, IEEE Transactions on Affective Computing.

[26]  Lei Zhang,et al.  Human-Machine Interface Evaluation of CNC Machine Control Panel through Multidimensional Experimental Data Synchronous Testing Analysis Method , 2017 .

[27]  N Meshkati,et al.  AUTOMOTIVE ERGONOMICS. CHAPTER 21. THE OLDER DRIVER AND PASSENGER , 1993 .

[28]  A. Shepherd,et al.  Guide to Task Analysis , 2003 .

[29]  Young Mi Choi,et al.  Usability evaluation of a new text input method for smart TVs , 2016 .

[30]  Halimah Badioze Zaman,et al.  A wearable device for the elderly: A case study in Malaysia , 2014, Proceedings of the 6th International Conference on Information Technology and Multimedia.

[31]  M. Unruh,et al.  Heart rate variability (HRV) in kidney failure: measurement and consequences of reduced HRV. , 2007, Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association.

[32]  Jingyan Qin,et al.  Research on User Mental Model Acquisition Based on Multidimensional Data Collaborative Analysis in Product Service System Innovation Process , 2017, HCI.

[33]  Hyunseung Choo,et al.  Smart TV: are they really smart in interacting with people? Understanding the interactivity of Korean Smart TV , 2013, Behav. Inf. Technol..

[34]  M. Turiel,et al.  Power Spectral Analysis of Heart Rate and Arterial Pressure Variabilities as a Marker of Sympatho‐Vagal Interaction in Man and Conscious Dog , 1986, Circulation research.

[35]  A. Malliani,et al.  Heart rate variability. Standards of measurement, physiological interpretation, and clinical use , 1996 .

[36]  Myriam Lewkowicz,et al.  A LivingLab Approach to Involve Elderly in the Design of Smart TV Applications Offering Communication Services , 2013, HCI.

[37]  Emmanouil Perakakis,et al.  Smart Enough for the Web? A Responsive Web Design Approach to Enhancing the User Web Browsing Experience on Smart TVs , 2017, IEEE Transactions on Human-Machine Systems.

[38]  K. Choi,et al.  Is heart rate variability (HRV) an adequate tool for evaluating human emotions? – A focus on the use of the International Affective Picture System (IAPS) , 2017, Psychiatry Research.

[39]  J. Gross,et al.  Respiratory sinus arrhythmia, emotion, and emotion regulation during social interaction. , 2006, Psychophysiology.

[40]  Dong-Hee Shin,et al.  The role of affordance in the experience of virtual reality learning: Technological and affective affordances in virtual reality , 2017, Telematics Informatics.

[41]  Marten Haesner,et al.  Touch interaction with Google Glass - Is it suitable for older adults? , 2018, Int. J. Hum. Comput. Stud..

[42]  Donghee Don Shin,et al.  Factors Affecting Resistance and Intention to Use the Smart TV , 2014 .

[43]  H. Nagaraja,et al.  Heart rate variability: origins, methods, and interpretive caveats. , 1997, Psychophysiology.

[44]  E. Fallen,et al.  Power spectral analysis of heart rate variability: a noninvasive signature of cardiac autonomic function. , 1993, Critical reviews in biomedical engineering.

[45]  K Smith.  Needs Analysis: Or, How Do You Capture, Represent and Validate User Requirements in a Formal Manner/Notation before Design , 2011 .

[46]  R. Taylor-Piliae,et al.  The association of physical activity, cognitive processes and automobile driving ability in older adults: A review of the literature. , 2016, Geriatric nursing.

[47]  Frank Biocca,et al.  Explicating user behavior toward multi-screen adoption and diffusion: User experience in the multi-screen media ecology , 2017, Internet Res..

[48]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[49]  Sergio Cerutti,et al.  Effects of tilt and treadmill exercise on short-term variability in systolic arterial pressure in hypertensive men , 1987 .

[50]  Regan L. Mandryk,et al.  Using psychophysiological techniques to measure user experience with entertainment technologies , 2006, Behav. Inf. Technol..

[51]  Ok-Ki Lee.  A Study on User Experience and Usability of Smart TV , 2017 .

[52]  Nathan A. Fox,et al.  Autonomic nervous system reactivity to positive and negative mood induction: The role of acute psychological responses and frontal electrocortical activity , 2011, Biological Psychology.

[53]  A. Porta,et al.  Power spectrum analysis of heart rate variability to assess the changes in sympathovagal balance during graded orthostatic tilt. , 1994, Circulation.

[54]  陈宇皓.  从Google TV与Apple TV探讨联网电视的未来 , 2011 .

[55]  Dong-Hee Shin,et al.  Empathy and embodied experience in virtual environment: To what extent can virtual reality stimulate empathy and embodied experience? , 2018, Comput. Hum. Behav..

[56]  Ma Sasse,et al.  The Eyes Never Lie: The Use of Eyetracking Data in HCI Research , 2002, CHI 2002.

[58]  J. Andreassi.  Psychophysiology: Human Behavior and Physiological Response , 1980 .

[59]  Julian F. Thayer,et al.  Matters of the variable heart: respiratory sinus arrhythmia response to marital interaction and associations with marital quality. , 2011, Journal of personality and social psychology.

[60]  P. Muter,et al.  User-hostile systems and patterns of psychophysiological activity , 1993 .

[61]  Dong-Hee Shin,et al.  How does immersion work in augmented reality games? A user-centric view of immersion and engagement , 2017, Information, Communication & Society.

[62]  Susumu Harada,et al.  Characteristics of Elderly User Behavior on Mobile Multi-touch Devices , 2013, INTERACT.