Dispelling the Gorilla Arm Syndrome: The Viability of Prolonged Gesture Interactions

The use of gestures as a way to interact with computer systems has shown promise as a natural way to interact and manipulate digital information. However, users performing mid-air gestures for even moderate periods of time experience arm fatigue and discomfort, earning its name of the gorilla arm syndrome. Based on the natural use of hands during communication, a new gesture vocabulary was created that supports the arms while the user performs the gestures. A repeated measures within subject design was conducted where participants interacted with a custom video game using 3 types of input for 30 min each, (1) keyboard, (2) mid-air gestures and (3) supported gestures. Three measures of exertion were collected, (1) time, (2) energy expenditure, and (3) perceived exertion. The newly designed supported gestures required significantly less physical and perceived effort than the mid-air gestures and required similar exertion as the keyboard condition.

[1]  Andreas Sonderegger,et al.  The influence of prototype fidelity and aesthetics of design in usability tests: effects on user behaviour, subjective evaluation and emotion. , 2009, Applied ergonomics.

[2]  Andris Freivalds,et al.  Biomechanics of the Upper Limbs: Mechanics, Modelling and Musculoskeletal Injuries , 2004 .

[3]  Luis Paulo Reis,et al.  A comparison of machine learning algorithms applied to hand gesture recognition , 2012, 7th Iberian Conference on Information Systems and Technologies (CISTI 2012).

[4]  Thomas B. Moeslund,et al.  A Procedure for Developing Intuitive and Ergonomic Gesture Interfaces for HCI , 2003, Gesture Workshop.

[5]  Lennart E. Nacke,et al.  From game design elements to gamefulness: defining "gamification" , 2011, MindTrek.

[6]  S. Abdul-Kareem,et al.  RETRACTED ARTICLE: Static hand gesture recognition using neural networks , 2014, Artificial Intelligence Review.

[7]  M A Life,et al.  An integrated approach to the study of posture in keyboard operation. , 1984, Applied ergonomics.

[8]  Wolfgang Stuerzlinger,et al.  The performance of un-instrumented in-air pointing , 2014, Graphics Interface.

[9]  Elisabeth Lex,et al.  A sliding window approach to natural hand gesture recognition using a custom data glove , 2016, 2016 IEEE Symposium on 3D User Interfaces (3DUI).

[10]  E. Borg,et al.  A comparison between three rating scales for perceived exertion and two different work tests , 2006, Scandinavian journal of medicine & science in sports.

[11]  Richard A. Bolt,et al.  “Put-that-there”: Voice and gesture at the graphics interface , 1980, SIGGRAPH '80.

[12]  Jakob Nielsen,et al.  The usability engineering life cycle , 1992, Computer.

[13]  D R Bassett,et al.  Validity of inspiratory and expiratory methods of measuring gas exchange with a computerized system. , 2001, Journal of applied physiology.

[14]  Marko Jurmu,et al.  Scroll, tilt or move it: using mobile phones to continuously control pointers on large public displays , 2009, OZCHI.

[15]  A. Kendon Gesture: Visible Action as Utterance , 2004 .

[16]  Gary A. Ballinger,et al.  Using Generalized Estimating Equations for Longitudinal Data Analysis , 2004 .

[17]  Jakub Segen,et al.  Look ma, no mouse! , 2000, CACM.

[18]  Joze Guna,et al.  An Analysis of the Precision and Reliability of the Leap Motion Sensor and Its Suitability for Static and Dynamic Tracking , 2014, Sensors.

[19]  B Nilsson,et al.  Musculoskeletal disorders among visual display terminal workers: individual, ergonomic, and work organizational factors. , 1995, Ergonomics.

[20]  Haitham Sabah Badi,et al.  Hand posture and gesture recognition technology , 2014, Neural Computing and Applications.

[21]  Kenton O'Hara,et al.  Gamification. using game-design elements in non-gaming contexts , 2011, CHI Extended Abstracts.

[22]  Pourang Irani,et al.  Consumed endurance: a metric to quantify arm fatigue of mid-air interactions , 2014, CHI.

[23]  Sriganesh Madhvanath,et al.  Freehand pose-based Gestural Interaction: Studies and implications for interface design , 2012, 2012 4th International Conference on Intelligent Human Computer Interaction (IHCI).

[24]  John Stephen Underkoffler,et al.  The I/O bulb and the luminous room , 1999 .

[25]  Alvin Jude,et al.  Models for Rested Touchless Gestural Interaction , 2015, SUI.

[26]  Hiroshi Ishii,et al.  The Luminous Room: some of it, anyway , 1999, International Conference on Computer Graphics and Interactive Techniques.

[27]  S. Goldin-Meadow,et al.  Learning from Gesture: How Our Hands Change Our Minds , 2015, Educational Psychology Review.

[28]  S. Crouter,et al.  Accuracy and reliability of the ParvoMedics TrueOne 2400 and MedGraphics VO2000 metabolic systems , 2006, European Journal of Applied Physiology.